diff --git a/404.html b/404.html
index 31c4548e..8b1a1e32 100644
--- a/404.html
+++ b/404.html
@@ -14,66 +14,48 @@
 <link rel="apple-touch-icon" type="image/png" sizes="60x60" href="apple-touch-icon-60x60.png">
 <script src="deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
 <link href="deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
-<script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous">
-<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous">
-<!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="Page not found (404)">
+<script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet">
+<link href="deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet">
+<script src="deps/headroom-0.11.0/headroom.min.js"></script><script src="deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="deps/search-1.0.0/fuse.min.js"></script><script src="deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="Page not found (404)">
 <meta property="og:image" content="/logo.png">
-<!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]-->
 </head>
 <body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
       <ul class="navbar-nav me-auto">
-<li class="nav-item">
-  <a class="nav-link" href="articles/ssdtools.html">Get started</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="reference/index.html">Reference</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="articles/index.html">Articles</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="news/index.html">Changelog</a>
-</li>
+<li class="nav-item"><a class="nav-link" href="articles/ssdtools.html">Get started</a></li>
+<li class="nav-item"><a class="nav-link" href="reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="news/index.html">Changelog</a></li>
       </ul>
-<form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="search.json" id="search-input" placeholder="Search for" autocomplete="off">
-</form>
-
-      <ul class="navbar-nav">
-<li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+<ul class="navbar-nav">
+<li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="search.json">
+</form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul>
 </div>
 
-    
+
   </div>
 </nav><div class="container template-title-body">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="logo.png" class="logo" alt=""><h1>Page not found (404)</h1>
-      
+
     </div>
 
 Content not found. Please use links in the navbar.
@@ -87,15 +69,15 @@
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer>
 </div>
 
-  
 
-  
+
+
 
   </body>
 </html>
diff --git a/CODE_OF_CONDUCT.html b/CODE_OF_CONDUCT.html
index e3b94603..221384b6 100644
--- a/CODE_OF_CONDUCT.html
+++ b/CODE_OF_CONDUCT.html
@@ -1,53 +1,36 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Contributor Covenant Code of Conduct • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="apple-touch-icon-60x60.png"><script src="deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="Contributor Covenant Code of Conduct"><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Contributor Covenant Code of Conduct • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="apple-touch-icon-60x60.png"><script src="deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="deps/headroom-0.11.0/headroom.min.js"></script><script src="deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="deps/search-1.0.0/fuse.min.js"></script><script src="deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="Contributor Covenant Code of Conduct"><meta property="og:image" content="/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="articles/ssdtools.html">Get started</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="reference/index.html">Reference</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="articles/index.html">Articles</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="articles/ssdtools.html">Get started</a></li>
+<li class="nav-item"><a class="nav-link" href="reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-title-body">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="logo.png" class="logo" alt=""><h1>Contributor Covenant Code of Conduct</h1>
-      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/HEAD/CODE_OF_CONDUCT.md" class="external-link"><code>CODE_OF_CONDUCT.md</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/main/.github/CODE_OF_CONDUCT.md" class="external-link"><code>.github/CODE_OF_CONDUCT.md</code></a></small>
     </div>
 
 <div id="contributor-covenant-code-of-conduct" class="section level1">
@@ -83,7 +66,7 @@ <h2 id="scope">Scope<a class="anchor" aria-label="anchor" href="#scope"></a></h2
 </div>
 <div class="section level2">
 <h2 id="enforcement">Enforcement<a class="anchor" aria-label="anchor" href="#enforcement"></a></h2>
-<p>Instances of abusive, harassing, or otherwise unacceptable behavior may be reported to the community leaders responsible for enforcement at .github/. All complaints will be reviewed and investigated promptly and fairly.</p>
+<p>Instances of abusive, harassing, or otherwise unacceptable behavior may be reported to the community leaders responsible for enforcement at <a href="mailto:codeofconduct@posit.co" class="email">codeofconduct@posit.co</a>. All complaints will be reviewed and investigated promptly and fairly.</p>
 <p>All community leaders are obligated to respect the privacy and security of the reporter of any incident.</p>
 </div>
 <div class="section level2">
@@ -118,7 +101,7 @@ <h2 id="attribution">Attribution<a class="anchor" aria-label="anchor" href="#att
 </div>
 </div>
 
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -127,14 +110,14 @@ <h2 id="attribution">Attribution<a class="anchor" aria-label="anchor" href="#att
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/CONTRIBUTING.html b/CONTRIBUTING.html
index cbda779b..0815007c 100644
--- a/CONTRIBUTING.html
+++ b/CONTRIBUTING.html
@@ -1,53 +1,36 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>NA • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="apple-touch-icon-60x60.png"><script src="deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="NA"><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>NA • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="apple-touch-icon-60x60.png"><script src="deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="deps/headroom-0.11.0/headroom.min.js"></script><script src="deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="deps/search-1.0.0/fuse.min.js"></script><script src="deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="NA"><meta property="og:image" content="/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="articles/ssdtools.html">Get started</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="reference/index.html">Reference</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="articles/index.html">Articles</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="articles/ssdtools.html">Get started</a></li>
+<li class="nav-item"><a class="nav-link" href="reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-title-body">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="logo.png" class="logo" alt=""><h1>NA</h1>
-      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/HEAD/.github/CONTRIBUTING.md" class="external-link"><code>.github/CONTRIBUTING.md</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/main/.github/CONTRIBUTING.md" class="external-link"><code>.github/CONTRIBUTING.md</code></a></small>
     </div>
 
 <div class="section level2">
@@ -73,14 +56,14 @@ <h2 id="how-to-contribute">How to contribute<a class="anchor" aria-label="anchor
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/LICENSE-text.html b/LICENSE-text.html
index 1d0c830e..a51a8a55 100644
--- a/LICENSE-text.html
+++ b/LICENSE-text.html
@@ -1,53 +1,36 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>License • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="apple-touch-icon-60x60.png"><script src="deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="License"><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>License • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="apple-touch-icon-60x60.png"><script src="deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="deps/headroom-0.11.0/headroom.min.js"></script><script src="deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="deps/search-1.0.0/fuse.min.js"></script><script src="deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="License"><meta property="og:image" content="/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="articles/ssdtools.html">Get started</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="reference/index.html">Reference</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="articles/index.html">Articles</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="articles/ssdtools.html">Get started</a></li>
+<li class="nav-item"><a class="nav-link" href="reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-title-body">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="logo.png" class="logo" alt=""><h1>License</h1>
-      
+
     </div>
 
 <pre>Apache License
@@ -261,14 +244,14 @@
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/SUPPORT.html b/SUPPORT.html
index 7a398720..c55530eb 100644
--- a/SUPPORT.html
+++ b/SUPPORT.html
@@ -1,53 +1,36 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Getting help with ssdtools • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="apple-touch-icon-60x60.png"><script src="deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="Getting help with ssdtools"><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Getting help with ssdtools • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="apple-touch-icon-60x60.png"><script src="deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="deps/headroom-0.11.0/headroom.min.js"></script><script src="deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="deps/search-1.0.0/fuse.min.js"></script><script src="deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="Getting help with ssdtools"><meta property="og:image" content="/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="articles/ssdtools.html">Get started</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="reference/index.html">Reference</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="articles/index.html">Articles</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="articles/ssdtools.html">Get started</a></li>
+<li class="nav-item"><a class="nav-link" href="reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-title-body">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="logo.png" class="logo" alt=""><h1>Getting help with ssdtools</h1>
-      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/HEAD/.github/SUPPORT.md" class="external-link"><code>.github/SUPPORT.md</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/main/.github/SUPPORT.md" class="external-link"><code>.github/SUPPORT.md</code></a></small>
     </div>
 
 <div id="getting-help-with-ssdtools" class="section level1">
@@ -63,7 +46,7 @@ <h2 id="make-a-reprex">Make a reprex<a class="anchor" aria-label="anchor" href="
 </div>
 </div>
 
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -72,14 +55,14 @@ <h2 id="make-a-reprex">Make a reprex<a class="anchor" aria-label="anchor" href="
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/articles/additional-technical-details.html b/articles/additional-technical-details.html
index fd23b37c..d2f5fcb2 100644
--- a/articles/additional-technical-details.html
+++ b/articles/additional-technical-details.html
@@ -5,7 +5,6 @@
 <meta charset="utf-8">
 <meta http-equiv="X-UA-Compatible" content="IE=edge">
 <meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
-<meta name="description" content="ssdtools">
 <title>Additional technical details • ssdtools</title>
 <!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png">
 <link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png">
@@ -15,61 +14,41 @@
 <link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png">
 <script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
 <link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
-<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous">
-<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous">
-<!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Additional technical details">
-<meta property="og:description" content="ssdtools">
-<meta property="og:image" content="/logo.png">
-<!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]-->
+<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet">
+<link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet">
+<script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Additional technical details">
 </head>
 <body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
       <ul class="navbar-nav me-auto">
-<li class="nav-item">
-  <a class="nav-link" href="../articles/ssdtools.html">Get started</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../articles/index.html">Articles</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
+<li class="nav-item"><a class="nav-link" href="../articles/ssdtools.html">Get started</a></li>
+<li class="nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="active nav-item"><a class="nav-link" href="../articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
       </ul>
-<form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off">
-</form>
-
-      <ul class="navbar-nav">
-<li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+<ul class="navbar-nav">
+<li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json">
+</form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul>
 </div>
 
-    
+
   </div>
 </nav><div class="container template-article">
 
@@ -82,9 +61,9 @@
                         <h4 data-toc-skip class="author">sstools
 Team</h4>
             
-            <h4 data-toc-skip class="date">2024-05-16</h4>
+            <h4 data-toc-skip class="date">2024-09-25</h4>
       
-      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/HEAD/vignettes/additional-technical-details.Rmd" class="external-link"><code>vignettes/additional-technical-details.Rmd</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/main/vignettes/additional-technical-details.Rmd" class="external-link"><code>vignettes/additional-technical-details.Rmd</code></a></small>
       <div class="d-none name"><code>additional-technical-details.Rmd</code></div>
     </div>
 
@@ -116,16 +95,187 @@ <h2 id="small-sample-bias">Small sample bias<a class="anchor" aria-label="anchor
 estimates can be found in the following <a href="https://github.com/bcgov/ssdtools/blob/master/vignettes/small-sample-bias.pdf" class="external-link">pdf</a>.</p>
 </div>
 <div class="section level2">
+<h2 id="investigations-into-setting-minimum-sample-sizes-for-uni-modal-and-bi-modal-distributions-in-ssdtools">Investigations into setting minimum sample sizes for uni-modal and
+bi-modal distributions in ssdtools<a class="anchor" aria-label="anchor" href="#investigations-into-setting-minimum-sample-sizes-for-uni-modal-and-bi-modal-distributions-in-ssdtools"></a>
+</h2>
+<p>Most jurisdictions require a minimum sample size for fitting a valid
+SSD. The current Austalian and New Zealand minimum is 5, in order to fit
+a the two-parameter log-normal distribution <span class="citation">(ANZG
+2018; Warne et al. 2018)</span>. The current default minimum sample size
+is 6 for version 1.0 of ssdtools <span class="citation">(Thorley and
+Schwarz 2018a, b)</span>, which is consistent with the current
+methodology for British Columbia <span class="citation">(BC Ministry of
+Environment and Climate Change Strategy 2019)</span>.</p>
+<p>Here we report on a series of simulation studies designed to inform a
+final decision on the default minimum sample size to adopt for both the
+uni-modal 2 parameter distributions, as well as the bi-modal 5 parameter
+distributions.</p>
+<div class="section level3">
+<h3 id="bias-and-ci-coverage-and-interval-width">Bias and CI coverage and interval width<a class="anchor" aria-label="anchor" href="#bias-and-ci-coverage-and-interval-width"></a>
+</h3>
+<div class="section level4">
+<h4 id="simulations-based-on-ssddata">Simulations based on ssddata<a class="anchor" aria-label="anchor" href="#simulations-based-on-ssddata"></a>
+</h4>
+<p>We used the example datasets in the ssddata package in R <span class="citation">(Fisher and Thorley 2021)</span> to undertake a
+simulation study to examine bias, coverage and confidence interval
+widths using the recommended default set of distributions (lognormal,
+log-Gumbel, log-logistic, gamma, Weibull, and the lognormal-log-normal
+mixture), with model averaged estimates obtained using the multi-method,
+and confidence intervals estimated using the recommended weighted sample
+bootstrap method (see Fox et al. 2024). A total of 20 unique datasets
+were extracted from ssddata and used to define the parameters for the
+simulation study as follows:</p>
+<ol style="list-style-type: decimal">
+<li>Each dataset was extracted from ssddata and fit using the default
+distribution set as recommended in <span class="citation">(Fox et al.
+2021)</span> and <span class="citation">(Fox et al. 2024)</span>.</li>
+<li>Of the six default distributions, the parameters for the
+distribution having the highest weight for each dataset was used to
+generate new random datasets of varying values of N, including (but not
+limited to): 5 (current ANZG minimum), 6 (current BC minimum), and 8
+(current ANZG preferred).</li>
+<li>For each randomly generated dataset, ssdtools was used to re-fit the
+data, and model averaged estimates were obtained using the multi-method,
+with upper and lower confidence intervals estimated using the
+recommended weighted sample method.</li>
+</ol>
+<p>The individual ssdtools fits are shown below for each of the 20
+simulation datasets from ssddata, for the six recommended default
+distributions, as well as the model averaged CDF (black line):</p>
+<p><img src="Images/fitted_dists.png"></p>
+<p>This simulation process was repeated a minimum of 1,000 times for
+each dataset, and the results collated across all iterations. For each
+simulated dataset the true HCx values were obtained directly from the
+parameter estimates of from data generating distribution. From these,
+relative bias was calculated as the scaled-difference between the
+estimated HCx values and the true HCx value, i.e
+<math display="block" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mfrac><mrow><mover><mrow><mi>H</mi><mi>C</mi></mrow><mo accent="true">̂</mo></mover><mi>x</mi><mo>−</mo><mi>H</mi><mi>C</mi><mi>x</mi></mrow><mrow><mi>H</mi><mi>C</mi><mi>x</mi></mrow></mfrac><annotation encoding="application/x-tex">\frac{\widehat {HC}x-HCx}{HCx}</annotation></semantics></math>
+where
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mover><mrow><mi>H</mi><mi>C</mi></mrow><mo accent="true">̂</mo></mover><mi>x</mi></mrow><annotation encoding="application/x-tex">\widehat {HC}x</annotation></semantics></math>
+is the estimate of the true value,
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>H</mi><mi>C</mi><mi>x</mi></mrow><annotation encoding="application/x-tex">HCx</annotation></semantics></math>;
+coverage was calculated as the proportion of simulations where the true
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>H</mi><mi>C</mi><mi>x</mi></mrow><annotation encoding="application/x-tex">HCx</annotation></semantics></math>
+value fell within the lower and upper 95% confidence limits; and the
+scaled confidence interval width was calculated as
+<math display="block" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mfrac><mrow><mi>U</mi><mi>L</mi><mo>−</mo><mi>L</mi><mi>L</mi></mrow><mrow><mi>H</mi><mi>C</mi><mi>x</mi></mrow></mfrac><annotation encoding="application/x-tex">\frac{UL-LL}{HCx}</annotation></semantics></math>
+where
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>U</mi><mi>L</mi></mrow><annotation encoding="application/x-tex">UL</annotation></semantics></math>
+and
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>L</mi><mi>L</mi></mrow><annotation encoding="application/x-tex">LL</annotation></semantics></math>
+are the upper and lower limits respectively.</p>
+<p>Bias, confidence interval width and coverage as a function of sample
+size across ~1000 simulations of 20 datasets using the multi model
+averaging method and the weighted sample method for estimating
+confidence intervals via ssdtools are shown below:</p>
+<p><img src="Images/ssdata_sims_collated.png"></p>
+<p>The simulation results showed significant gains in terms of reduced
+bias from N=5 to N=6, as well as in coverage, which improved
+substantially between N=5 and N=6. There is also a small additional gain
+in coverage at N=7, where the median of the simulations reaches the
+expected 95% but this is only the case for HC1.</p>
+</div>
+<div class="section level4">
+<h4 id="simulations-based-on-envirotox">Simulations based on EnviroTox<a class="anchor" aria-label="anchor" href="#simulations-based-on-envirotox"></a>
+</h4>
+<p>In addition to the analysis based on the 20 ssddata example datasets,
+we also ran an expanded simulation study based on the EnviroTox dataset
+analysed by Yanagihara et al. (2024). Combined with the ssddata
+examples, this includes a total of 353 example datasets to use as case
+studies. Using this larger dataset as a basis for simulations, we
+followed the same procedure as described above to examine relative bias,
+as well as changes in the AICc weights (see below) for various sample
+sizes. Estimates of coverage and confidence interval widths were not
+obtained for this larger dataset due to the computationally intensive
+bootstrap method of obtaining confidence intervals.</p>
+<p>Bias of sample size across ~1000 simulations of 353 datasets using
+the multi model averaging method via ssdtools, for HC5, 10 and 20 (0.05,
+0.1, and 0.2) are shown below:</p>
+<p><img src="Images/all_sims_bias.png"></p>
+<p>Note that simulation results are shown separately for those derived
+from each of the six distributions as the underlying source data
+generating distribution.</p>
+<p>The bias results for this larger combined dataset did not show the
+same level of improvement from N=5 to N=6 as that based on the smaller
+ssddata simulation. However, there as a gradual improvement in bias with
+increasing N. There is no strong evidence for preferring N=6 over N=7 in
+the context of bias from either of the simulation studies. We note that
+the bias was highest at these small sample sizes for data generated
+using a gamma distribution, likely reflecting the extreme left-tailed
+nature of this distribution.</p>
+</div>
+</div>
+<div class="section level3">
+<h3 id="acic-based-model-weights">ACIc based model weights<a class="anchor" aria-label="anchor" href="#acic-based-model-weights"></a>
+</h3>
+<p>Aside from considerations of bias, coverage and confidence interval
+width, it is also prudent to examine how the weights of the different
+distributions changed with sample size, for data generated using the six
+different default distributions, to more fully investigate sample size
+issues associated with the use of the mixture distributions. This was
+examined using the simulation study across the larger combined ssddata
+and EnviroTox datasets (353 datasets) to ensure a wide range of
+potential representations of each of the six default distributions was
+considered.</p>
+<p>Below is a plot of the mean AICc weights as a function of sample size
+(N) obtained for data simulated using the best fit distribution to 353
+datasets. Results are shown separately for the six different source
+distributions, with the upper plot (A) showing the AICc weight of the
+source (data generating) distributions, when fit using the default set
+of six distributions using ssdtools; and the lower plot (B) showing the
+AICc weight of the lognormal-lognormal mixture distribution for each of
+the source (data generating) distributions.</p>
+<p><img src="Images/weights_collated.png"></p>
+<p>We found that the AICc weights for the five unimodal distributions
+were relatively similar (~0.2) for very low N. This is because for small
+N it is difficult to discern differences between the distributions in
+the candidate list. The weights increase to above 0.5 as N increases
+(i.e. their converge to the true underlying generating distribution at
+high N, upper plot). For very low sample sizes (N=5, 6 or 7) the source
+(data-generating) distribution is not preferentially weighted by the
+AICc (upper plot, A).</p>
+<p>For the lnorm_lnorm mixture, AICc weights can be &gt;0.5 at
+relatively N (&gt;8, lower plot, B). We also looked specifically at the
+AICc weight of the lognormal-lognormal mixture as one of six
+distributions in the default candidate set, across simulation based on
+all six source generating distributions. This was done to examine the
+potential for erroneously highly weighting the lognormal-lognormal
+mixture distribution by chance, when data are generated instead using
+one of the five unimodal distributions. For all the unimodal source
+distributions the lognormal-lognormal mixture never has high AICc
+weight, even at very high sample sizes (N=256, lower plot, B). The AICc
+weights are particularly low for the lnorm_lnorm mixture at low sample
+sizes for all the uni-modal source distributions (a desirable property)
+(lower plot, B).</p>
+</div>
+<div class="section level3">
+<h3 id="conclusions">Conclusions<a class="anchor" aria-label="anchor" href="#conclusions"></a>
+</h3>
+<p>Overall, the results suggest that (relative) bias as a function of N
+behaves as expected. The N=6 recommendation appears to be well-supported
+as coverage is particularly low for N=5, but acceptable for N=6. The
+lognormal-lognormal mixture AICc weights suggest that this distribution
+will only be preferred (i.e. have a high AICc weight) when (i) there is
+clear evidence of bimodality in the source data; and (ii) large N.</p>
+<p>Based on these results, our recommendation is that only a single
+minimum sample size of N=6 be adopted (for both unimodal and bimodal),
+since our results suggest any gains in increasing this to 7 are
+minimal.</p>
+</div>
+</div>
+<div class="section level2">
 <h2 id="the-inverse-pareto-and-inverse-weibull-as-limiting-distributions-of-the-burr-type-iii-distribution">The inverse Pareto and inverse Weibull as limiting distributions of
 the Burr Type-III distribution<a class="anchor" aria-label="anchor" href="#the-inverse-pareto-and-inverse-weibull-as-limiting-distributions-of-the-burr-type-iii-distribution"></a>
 </h2>
 <div class="section level3">
 <h3 id="burr-iii-distribution">Burr III distribution<a class="anchor" aria-label="anchor" href="#burr-iii-distribution"></a>
 </h3>
-<p>The probability density function, <span class="math inline">\({f_X}(x;b,c,k)\)</span> and cumulative
-distribution function, <span class="math inline">\({F_X}(x;b,c,k)\)</span> for the Burr III
-distribution (also known as the <em>Dagum</em> distribution) as used in
-<code>ssdtools</code> are:</p>
+<p>The probability density function,
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><msub><mi>f</mi><mi>X</mi></msub><mrow><mo stretchy="true" form="prefix">(</mo><mi>x</mi><mo>;</mo><mi>b</mi><mo>,</mo><mi>c</mi><mo>,</mo><mi>k</mi><mo stretchy="true" form="postfix">)</mo></mrow></mrow><annotation encoding="application/x-tex">{f_X}(x;b,c,k)</annotation></semantics></math>
+and cumulative distribution function,
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><msub><mi>F</mi><mi>X</mi></msub><mrow><mo stretchy="true" form="prefix">(</mo><mi>x</mi><mo>;</mo><mi>b</mi><mo>,</mo><mi>c</mi><mo>,</mo><mi>k</mi><mo stretchy="true" form="postfix">)</mo></mrow></mrow><annotation encoding="application/x-tex">{F_X}(x;b,c,k)</annotation></semantics></math>
+for the Burr III distribution (also known as the <em>Dagum</em>
+distribution) as used in <code>ssdtools</code> are:</p>
 <div style="text-align: center;" font-size: color: class="box">
 <b><u>Burr III distribution</u></b>\[\begin{array}{*{20}{c}}
 {{f_X}(x;b,c,k) = \frac{{b\,k\,c}}{{{x^2}}}\frac{{{{\left( {\frac{b}{x}} \right)}^{c - 1}}}}{{{{\left[ {1 + {{\left( {\frac{b}{x}} \right)}^c}} \right]}^{k + 1}}}}{\rm{ }}}&amp;{b,c,k,x &gt; 0}
@@ -137,105 +287,103 @@ <h3 id="burr-iii-distribution">Burr III distribution<a class="anchor" aria-label
 <div class="section level3">
 <h3 id="inverse-pareto-distribution">Inverse Pareto distribution<a class="anchor" aria-label="anchor" href="#inverse-pareto-distribution"></a>
 </h3>
-<p><br>Let <span class="math inline">\(X \sim Burr(b,c,k)\)</span> have
-the <em>pdf</em> given in the box above. It is well known that the
-distribution of <span class="math inline">\(Y = \frac{1}{X}\)</span> is
-the <em>inverse Burr</em> distribution (also known as the
-<em>SinghMaddala</em> distribution) for which:<span class="math display">\[\begin{array}{*{20}{c}}
+<p><br>Let
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>X</mi><mo>∼</mo><mi>B</mi><mi>u</mi><mi>r</mi><mi>r</mi><mrow><mo stretchy="true" form="prefix">(</mo><mi>b</mi><mo>,</mo><mi>c</mi><mo>,</mo><mi>k</mi><mo stretchy="true" form="postfix">)</mo></mrow></mrow><annotation encoding="application/x-tex">X \sim Burr(b,c,k)</annotation></semantics></math>
+have the <em>pdf</em> given in the box above. It is well known that the
+distribution of
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>Y</mi><mo>=</mo><mfrac><mn>1</mn><mi>X</mi></mfrac></mrow><annotation encoding="application/x-tex">Y = \frac{1}{X}</annotation></semantics></math>
+is the <em>inverse Burr</em> distribution (also known as the
+<em>SinghMaddala</em> distribution) for which:<span class="math display">$$\begin{array}{*{20}{c}}
 {{f_Y}(y;b,c,k) = \frac{{c{\kern 1pt} {\kern 1pt} k{{\left(
 {\frac{y}{b}} \right)}^c}}}{{y{\kern 1pt} {{\left[ {1 + {{\left(
 {\frac{y}{b}} \right)}^c}} \right]}^{k + 1}}}}}&amp;{b,c,k,y &gt; 0}
-\end{array}\]</span></p>
-<p><span class="math display">\[\begin{array}{*{20}{c}}
-{{F_Y}(y;b,c,k) = 1 - \frac{1}{{{{\left[ {1 + {{\left( {\frac{y}{b}}
-\right)}^c}} \right]}^k}}}}&amp;{b,c,k,y &gt; 0}
-\end{array}\]</span></p>
-<p>We now consider the limiting distribution when <span class="math inline">\(c \to \infty\)</span> and <span class="math inline">\(k \to 0\)</span> in such a way that the product
-<span class="math inline">\(ck\)</span> remains constant, i.e. <span class="math inline">\(ck = \lambda\)</span>.</p>
-<p>Now, <span class="math display">\[\begin{array}{l}
-\mathop {\mathop {\lim }\limits_{(c,k) \to (\infty ,0)} }\limits_{ck =
-\lambda } \left\{ {{F_Y}(y;b,c,k)} \right\} = 1 - \mathop {\mathop {\lim
-}\limits_{(c,k) \to (\infty ,0)} }\limits_{ck = \lambda }
-\frac{1}{{{{\left[ {1 + {{\left( {\frac{y}{b}} \right)}^c}}
-\right]}^k}}}\\
+\end{array}$$</span></p>
+<p><math display="block" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mtable><mtr><mtd columnalign="center" style="text-align: center"><msub><mi>F</mi><mi>Y</mi></msub><mrow><mo stretchy="true" form="prefix">(</mo><mi>y</mi><mo>;</mo><mi>b</mi><mo>,</mo><mi>c</mi><mo>,</mo><mi>k</mi><mo stretchy="true" form="postfix">)</mo></mrow><mo>=</mo><mn>1</mn><mo>−</mo><mfrac><mn>1</mn><msup><mrow><mo stretchy="true" form="prefix">[</mo><mn>1</mn><mo>+</mo><msup><mrow><mo stretchy="true" form="prefix">(</mo><mfrac><mi>y</mi><mi>b</mi></mfrac><mo stretchy="true" form="postfix">)</mo></mrow><mi>c</mi></msup><mo stretchy="true" form="postfix">]</mo></mrow><mi>k</mi></msup></mfrac></mtd><mtd columnalign="center" style="text-align: center"><mi>b</mi><mo>,</mo><mi>c</mi><mo>,</mo><mi>k</mi><mo>,</mo><mi>y</mi><mo>&gt;</mo><mn>0</mn></mtd></mtr></mtable><annotation encoding="application/x-tex">\begin{array}{*{20}{c}}
+{{F_Y}(y;b,c,k) = 1 - \frac{1}{{{{\left[ {1 + {{\left( {\frac{y}{b}} \right)}^c}} \right]}^k}}}}&amp;{b,c,k,y &gt; 0}
+\end{array}</annotation></semantics></math></p>
+<p>We now consider the limiting distribution when
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>c</mi><mo>→</mo><mi>∞</mi></mrow><annotation encoding="application/x-tex">c \to \infty</annotation></semantics></math>
+and
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>k</mi><mo>→</mo><mn>0</mn></mrow><annotation encoding="application/x-tex">k \to 0</annotation></semantics></math>
+in such a way that the product
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>c</mi><mi>k</mi></mrow><annotation encoding="application/x-tex">ck</annotation></semantics></math>
+remains constant,
+i.e. <math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>c</mi><mi>k</mi><mo>=</mo><mi>λ</mi></mrow><annotation encoding="application/x-tex">ck = \lambda</annotation></semantics></math>.</p>
+<p>Now,
+<math display="block" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mtable><mtr><mtd columnalign="left" style="text-align: left"><munder><mo></mo><mrow><mi>c</mi><mi>k</mi><mo>=</mo><mi>λ</mi></mrow></munder><mrow><mo stretchy="true" form="prefix">{</mo><msub><mi>F</mi><mi>Y</mi></msub><mrow><mo stretchy="true" form="prefix">(</mo><mi>y</mi><mo>;</mo><mi>b</mi><mo>,</mo><mi>c</mi><mo>,</mo><mi>k</mi><mo stretchy="true" form="postfix">)</mo></mrow><mo stretchy="true" form="postfix">}</mo></mrow><mo>=</mo><mn>1</mn><mo>−</mo><munder><mo></mo><mrow><mi>c</mi><mi>k</mi><mo>=</mo><mi>λ</mi></mrow></munder><mfrac><mn>1</mn><msup><mrow><mo stretchy="true" form="prefix">[</mo><mn>1</mn><mo>+</mo><msup><mrow><mo stretchy="true" form="prefix">(</mo><mfrac><mi>y</mi><mi>b</mi></mfrac><mo stretchy="true" form="postfix">)</mo></mrow><mi>c</mi></msup><mo stretchy="true" form="postfix">]</mo></mrow><mi>k</mi></msup></mfrac></mtd></mtr><mtr><mtd columnalign="left" style="text-align: left"></mtd></mtr><mtr><mtd columnalign="left" style="text-align: left"><mi>a</mi><mi>n</mi><mi>d</mi></mtd></mtr><mtr><mtd columnalign="left" style="text-align: left"></mtd></mtr><mtr><mtd columnalign="left" style="text-align: left"><munder><mo></mo><mrow><mi>c</mi><mi>k</mi><mo>=</mo><mi>λ</mi></mrow></munder><msup><mrow><mo stretchy="true" form="prefix">[</mo><mn>1</mn><mo>+</mo><msup><mrow><mo stretchy="true" form="prefix">(</mo><mfrac><mi>y</mi><mi>b</mi></mfrac><mo stretchy="true" form="postfix">)</mo></mrow><mi>c</mi></msup><mo stretchy="true" form="postfix">]</mo></mrow><mi>k</mi></msup><mo>=</mo><munder><mo></mo><mrow><mi>c</mi><mi>k</mi><mo>=</mo><mi>λ</mi></mrow></munder><mrow><mo stretchy="true" form="prefix">{</mo><msup><mrow><mo stretchy="true" form="prefix">(</mo><mfrac><mi>y</mi><mi>b</mi></mfrac><mo stretchy="true" form="postfix">)</mo></mrow><mrow><mi>c</mi><mi>k</mi></mrow></msup><msup><mrow><mo stretchy="true" form="prefix">[</mo><mn>1</mn><mo>+</mo><msup><mrow><mo stretchy="true" form="prefix">(</mo><mfrac><mi>b</mi><mi>y</mi></mfrac><mo stretchy="true" form="postfix">)</mo></mrow><mi>c</mi></msup><mo stretchy="true" form="postfix">]</mo></mrow><mi>k</mi></msup><mo stretchy="true" form="postfix">}</mo></mrow></mtd></mtr><mtr><mtd columnalign="left" style="text-align: left"></mtd></mtr><mtr><mtd columnalign="left" style="text-align: left"><mi>a</mi><mi>n</mi><mi>d</mi></mtd></mtr><mtr><mtd columnalign="left" style="text-align: left"></mtd></mtr><mtr><mtd columnalign="left" style="text-align: left"><munder><mo></mo><mrow><mi>c</mi><mi>k</mi><mo>=</mo><mi>λ</mi></mrow></munder><mrow><mo stretchy="true" form="prefix">{</mo><msup><mrow><mo stretchy="true" form="prefix">(</mo><mfrac><mi>y</mi><mi>b</mi></mfrac><mo stretchy="true" form="postfix">)</mo></mrow><mrow><mi>c</mi><mi>k</mi></mrow></msup><msup><mrow><mo stretchy="true" form="prefix">[</mo><mn>1</mn><mo>+</mo><msup><mrow><mo stretchy="true" form="prefix">(</mo><mfrac><mi>b</mi><mi>y</mi></mfrac><mo stretchy="true" form="postfix">)</mo></mrow><mi>c</mi></msup><mo stretchy="true" form="postfix">]</mo></mrow><mi>k</mi></msup><mo stretchy="true" form="postfix">}</mo></mrow><mo>=</mo><munder><mo></mo><mrow><mi>c</mi><mi>k</mi><mo>=</mo><mi>λ</mi></mrow></munder><mrow><mo stretchy="true" form="prefix">{</mo><msup><mrow><mo stretchy="true" form="prefix">(</mo><mfrac><mi>y</mi><mi>b</mi></mfrac><mo stretchy="true" form="postfix">)</mo></mrow><mrow><mi>c</mi><mi>k</mi></mrow></msup><mo stretchy="true" form="postfix">}</mo></mrow><munder><mo></mo><mrow><mi>c</mi><mi>k</mi><mo>=</mo><mi>λ</mi></mrow></munder><mrow><mo stretchy="true" form="prefix">{</mo><msup><mrow><mo stretchy="true" form="prefix">[</mo><mn>1</mn><mo>+</mo><msup><mrow><mo stretchy="true" form="prefix">(</mo><mfrac><mi>b</mi><mi>y</mi></mfrac><mo stretchy="true" form="postfix">)</mo></mrow><mi>c</mi></msup><mo stretchy="true" form="postfix">]</mo></mrow><mi>k</mi></msup><mo stretchy="true" form="postfix">}</mo></mrow></mtd></mtr><mtr><mtd columnalign="left" style="text-align: left"><mo>=</mo><munder><mo></mo><mrow><mi>c</mi><mi>k</mi><mo>=</mo><mi>λ</mi></mrow></munder><mrow><mo stretchy="true" form="prefix">{</mo><msup><mrow><mo stretchy="true" form="prefix">(</mo><mfrac><mi>y</mi><mi>b</mi></mfrac><mo stretchy="true" form="postfix">)</mo></mrow><mrow><mi>c</mi><mi>k</mi></mrow></msup><mo stretchy="true" form="postfix">}</mo></mrow><mspace width="0.278em"></mspace><mo>⋅</mo><mspace width="0.167em"></mspace><mn>1</mn></mtd></mtr><mtr><mtd columnalign="left" style="text-align: left"><mo>=</mo><msup><mrow><mo stretchy="true" form="prefix">(</mo><mfrac><mi>y</mi><mi>b</mi></mfrac><mo stretchy="true" form="postfix">)</mo></mrow><mi>λ</mi></msup></mtd></mtr></mtable><annotation encoding="application/x-tex">\begin{array}{l}
+\mathop {\mathop {\lim }\limits_{(c,k) \to (\infty ,0)} }\limits_{ck = \lambda } \left\{ {{F_Y}(y;b,c,k)} \right\} = 1 - \mathop {\mathop {\lim }\limits_{(c,k) \to (\infty ,0)} }\limits_{ck = \lambda } \frac{1}{{{{\left[ {1 + {{\left( {\frac{y}{b}} \right)}^c}} \right]}^k}}}\\
 \\
 and\\
 \\
-\mathop {\mathop {\lim }\limits_{(c,k) \to (\infty ,0)} }\limits_{ck =
-\lambda } {\left[ {1 + {{\left( {\frac{y}{b}} \right)}^c}} \right]^k} =
-\mathop {\mathop {\lim }\limits_{(c,k) \to (\infty ,0)} }\limits_{ck =
-\lambda } \left\{ {{{\left( {\frac{y}{b}} \right)}^{ck}}{{\left[ {1 +
-{{\left( {\frac{b}{y}} \right)}^c}} \right]}^k}} \right\}\\
+\mathop {\mathop {\lim }\limits_{(c,k) \to (\infty ,0)} }\limits_{ck = \lambda } {\left[ {1 + {{\left( {\frac{y}{b}} \right)}^c}} \right]^k} = \mathop {\mathop {\lim }\limits_{(c,k) \to (\infty ,0)} }\limits_{ck = \lambda } \left\{ {{{\left( {\frac{y}{b}} \right)}^{ck}}{{\left[ {1 + {{\left( {\frac{b}{y}} \right)}^c}} \right]}^k}} \right\}\\
 \\
 and\\
 \\
-\mathop {\mathop {\lim }\limits_{(c,k) \to (\infty ,0)} }\limits_{ck =
-\lambda } \left\{ {{{\left( {\frac{y}{b}} \right)}^{ck}}{{\left[ {1 +
-{{\left( {\frac{b}{y}} \right)}^c}} \right]}^k}} \right\} = \mathop
-{\mathop {\lim }\limits_{(c,k) \to (\infty ,0)} }\limits_{ck = \lambda }
-\left\{ {{{\left( {\frac{y}{b}} \right)}^{ck}}} \right\}\mathop {\mathop
-{\lim }\limits_{(c,k) \to (\infty ,0)} }\limits_{ck = \lambda } \left\{
-{{{\left[ {1 + {{\left( {\frac{b}{y}} \right)}^c}} \right]}^k}}
-\right\}\\
-= \mathop {\mathop {\lim }\limits_{(c,k) \to (\infty ,0)} }\limits_{ck =
-\lambda } \left\{ {{{\left( {\frac{y}{b}} \right)}^{ck}}} \right\}\;
-\cdot \,1\\
-= {\left( {\frac{y}{b}} \right)^\lambda }
-\end{array}\]</span>
-Therefore, <span class="math display">\[\begin{array}{*{20}{c}}
-{\mathop {\mathop {\lim }\limits_{(c,k) \to (\infty ,0)} }\limits_{ck =
-\lambda } \left\{ {{F_Y}(y;b,c,k)} \right\} = 1 - {{\left( {\frac{b}{y}}
-\right)}^\lambda }}&amp;{y \ge b}
-\end{array}\]</span>
+\mathop {\mathop {\lim }\limits_{(c,k) \to (\infty ,0)} }\limits_{ck = \lambda } \left\{ {{{\left( {\frac{y}{b}} \right)}^{ck}}{{\left[ {1 + {{\left( {\frac{b}{y}} \right)}^c}} \right]}^k}} \right\} = \mathop {\mathop {\lim }\limits_{(c,k) \to (\infty ,0)} }\limits_{ck = \lambda } \left\{ {{{\left( {\frac{y}{b}} \right)}^{ck}}} \right\}\mathop {\mathop {\lim }\limits_{(c,k) \to (\infty ,0)} }\limits_{ck = \lambda } \left\{ {{{\left[ {1 + {{\left( {\frac{b}{y}} \right)}^c}} \right]}^k}} \right\}\\
+ = \mathop {\mathop {\lim }\limits_{(c,k) \to (\infty ,0)} }\limits_{ck = \lambda } \left\{ {{{\left( {\frac{y}{b}} \right)}^{ck}}} \right\}\; \cdot \,1\\
+ = {\left( {\frac{y}{b}} \right)^\lambda }
+\end{array}</annotation></semantics></math></p>
+<p>Therefore,
+<math display="block" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mtable><mtr><mtd columnalign="center" style="text-align: center"><munder><mo></mo><mrow><mi>c</mi><mi>k</mi><mo>=</mo><mi>λ</mi></mrow></munder><mrow><mo stretchy="true" form="prefix">{</mo><msub><mi>F</mi><mi>Y</mi></msub><mrow><mo stretchy="true" form="prefix">(</mo><mi>y</mi><mo>;</mo><mi>b</mi><mo>,</mo><mi>c</mi><mo>,</mo><mi>k</mi><mo stretchy="true" form="postfix">)</mo></mrow><mo stretchy="true" form="postfix">}</mo></mrow><mo>=</mo><mn>1</mn><mo>−</mo><msup><mrow><mo stretchy="true" form="prefix">(</mo><mfrac><mi>b</mi><mi>y</mi></mfrac><mo stretchy="true" form="postfix">)</mo></mrow><mi>λ</mi></msup></mtd><mtd columnalign="center" style="text-align: center"><mi>y</mi><mo>≥</mo><mi>b</mi></mtd></mtr></mtable><annotation encoding="application/x-tex">\begin{array}{*{20}{c}}
+{\mathop {\mathop {\lim }\limits_{(c,k) \to (\infty ,0)} }\limits_{ck = \lambda } \left\{ {{F_Y}(y;b,c,k)} \right\} = 1 - {{\left( {\frac{b}{y}} \right)}^\lambda }}&amp;{y \ge b}
+\end{array}</annotation></semantics></math></p>
 <p>which we recognise as the (American) Pareto distribution. So, if the
-limiting distribution of <span class="math inline">\(Y =
-\frac{1}{X}\)</span> is a Pareto distribution, then the limiting
-distribution of <span class="math inline">\(X = \frac{1}{Y}\)</span> is
-the (American) <em>inverse Pareto</em> distribution:</p>
-<p><span class="math display">\[\begin{array}{l}
+limiting distribution of
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>Y</mi><mo>=</mo><mfrac><mn>1</mn><mi>X</mi></mfrac></mrow><annotation encoding="application/x-tex">Y = \frac{1}{X}</annotation></semantics></math>
+is a Pareto distribution, then the limiting distribution of
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>X</mi><mo>=</mo><mfrac><mn>1</mn><mi>Y</mi></mfrac></mrow><annotation encoding="application/x-tex">X = \frac{1}{Y}</annotation></semantics></math>
+is the (American) <em>inverse Pareto</em> distribution:</p>
+<p><span class="math display">$$\begin{array}{l}
 {f_X}\left( {x;\alpha ,\beta } \right) = \lambda {b^\lambda
 }{x^{\lambda  - 1}};{\rm{  }}0 \le x \le {\textstyle{1 \over
 b}};{\rm{  }}\lambda {\rm{,}}b &gt; 0\\
 {F_X}\left( {x;\alpha ,\beta } \right) = {\left( {xb} \right)^\lambda
 };{\rm{  }}0 \le x \le {\textstyle{1 \over b}};{\rm{  }}\lambda
 {\rm{,}}b &gt; 0
-\end{array}\]</span></p>
+\end{array}$$</span></p>
 <p>For completeness, the MLEs of this distribution have closed-form
-expressions and are given by: <span class="math display">\[\begin{array}{l}
+expressions and are given by: <span class="math display">$$\begin{array}{l}
 \hat \lambda  = {\left[ {\ln \left( {\frac{{{g_X}}}{{\hat b}}} \right)}
 \right]^{ - 1}}\\
 \hat b = \frac{1}{{\max \left\{ {{X_i}} \right\}}}{\rm{ }}
-\end{array}\]</span></p>
-<p>and <span class="math inline">\({\rm{ }}{g_X}\)</span>is the
+\end{array}$$</span></p>
+<p>and <span class="math inline">${\rm{ }}{g_X}$</span>is the
 <em>geometric mean</em> of the data.</p>
 </div>
 <div class="section level3">
 <h3 id="inverse-weibull-distribution">Inverse Weibull distribution<a class="anchor" aria-label="anchor" href="#inverse-weibull-distribution"></a>
 </h3>
-<p><br>Let <span class="math inline">\(X \sim Burr(b,c,k)\)</span> have
-the <em>pdf</em> given in the box above. We make the transformation
-<span class="math display">\[Y = \frac{{b{\kern 1pt}
-{k^{\tfrac{1}{c}}}{\kern 1pt} \theta }}{X}\]</span> where <span class="math inline">\(\theta\)</span> is a parameter (constant). The
-distribution of <span class="math inline">\(Y\)</span> is also a Burr
-distribution and has <em>cdf</em> <span class="math display">\[{G_Y}\left( y \right) = 1 - \frac{1}{{{{\left[ {1
+<p><br>Let
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>X</mi><mo>∼</mo><mi>B</mi><mi>u</mi><mi>r</mi><mi>r</mi><mrow><mo stretchy="true" form="prefix">(</mo><mi>b</mi><mo>,</mo><mi>c</mi><mo>,</mo><mi>k</mi><mo stretchy="true" form="postfix">)</mo></mrow></mrow><annotation encoding="application/x-tex">X \sim Burr(b,c,k)</annotation></semantics></math>
+have the <em>pdf</em> given in the box above. We make the transformation
+<span class="math display">$$Y = \frac{{b{\kern 1pt}
+{k^{\tfrac{1}{c}}}{\kern 1pt} \theta }}{X}$$</span> where
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>θ</mi><annotation encoding="application/x-tex">\theta</annotation></semantics></math>
+is a parameter (constant). The distribution of
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>Y</mi><annotation encoding="application/x-tex">Y</annotation></semantics></math>
+is also a Burr distribution and has <em>cdf</em> <span class="math display">$${G_Y}\left( y \right) = 1 - \frac{1}{{{{\left[ {1
 + {{\left( {\frac{y}{{{k^{\tfrac{1}{c}}}{\kern 1pt} \theta }}}
-\right)}^c}} \right]}^k}}}\]</span>.<br><br>We are interested in the
-limiting behaviour of this Burr distribution as <span class="math inline">\(k \to \infty\)</span>. <br>Now,<span class="math display">\[\mathop {\lim }\limits_{k \to \infty }
-{G_Y}\left( y \right) = 1 - \mathop {\lim }\limits_{k \to \infty }
-{\left[ {1 + {{\left( {\frac{y}{{{k^{\tfrac{1}{c}}}{\kern 1pt} \theta
-}}} \right)}^c}} \right]^{ - k}}\]</span></p>
-<p><span class="math display">\[{ = 1 - \mathop {\lim }\limits_{k \to
+\right)}^c}} \right]}^k}}}$$</span>.<br><br>We are interested in the
+limiting behaviour of this Burr distribution as
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>k</mi><mo>→</mo><mi>∞</mi></mrow><annotation encoding="application/x-tex">k \to \infty</annotation></semantics></math>.
+<br>Now,<span class="math display">$$\mathop {\lim }\limits_{k \to
+\infty } {G_Y}\left( y \right) = 1 - \mathop {\lim }\limits_{k \to
+\infty } {\left[ {1 + {{\left( {\frac{y}{{{k^{\tfrac{1}{c}}}{\kern 1pt}
+\theta }}} \right)}^c}} \right]^{ - k}}$$</span></p>
+<p><span class="math display">$${ = 1 - \mathop {\lim }\limits_{k \to
 \infty } {{\left[ {1 + \frac{{{{\left( {\frac{y}{\theta }}
-\right)}^c}}}{{k{\kern 1pt} }}} \right]}^{ - k}}}\]</span></p>
-<p><span class="math display">\[\begin{matrix}
+\right)}^c}}}{{k{\kern 1pt} }}} \right]}^{ - k}}}$$</span></p>
+<p><span class="math display">$$\begin{matrix}
    =1-\exp \left[ -{{\left( \frac{y}{\theta } \right)}^{c}} \right]  \\
    \left\{ \text{using the fact that }\underset{n\to \infty
 }{\mathop{\lim }}\,{{\left( 1+{}^{z}\!\!\diagup\!\!{}_{n}\;
 \right)}^{-n}}={{e}^{-z}} \right\}  \\
-\end{matrix}\]</span></p>
+\end{matrix}$$</span></p>
 <p>We recognise the last expression as the <em>cdf</em> of a Weibull
-distribution with parameters <span class="math inline">\(c\)</span> and
-<span class="math inline">\(\theta\)</span>.</p>
+distribution with parameters
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>c</mi><annotation encoding="application/x-tex">c</annotation></semantics></math>
+and
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>θ</mi><annotation encoding="application/x-tex">\theta</annotation></semantics></math>.</p>
 </div>
 </div>
 <div class="section level2">
@@ -250,7 +398,60 @@ <h2 id="licensing">Licensing<a class="anchor" aria-label="anchor" href="#licensi
 <p>The code is released under the <a href="https://www.apache.org/licenses/LICENSE-2.0" class="external-link">Apache License
 2.0</a></p>
 </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+<div class="section level2 unnumbered">
+<h2 class="unnumbered" id="references">References<a class="anchor" aria-label="anchor" href="#references"></a>
+</h2>
+<div id="refs" class="references csl-bib-body hanging-indent">
+<div id="ref-anzg" class="csl-entry">
+ANZG (2018) <a href="https://www.waterquality.gov.au/guidelines/anz-fresh-marine" class="external-link">Australian
+and new zealand guidelines for fresh and marine water quality.</a>
+Australian; New Zealand Governments; Australian State; Territory
+Governments
+</div>
+<div id="ref-ccme" class="csl-entry">
+BC Ministry of Environment and Climate Change Strategy (2019) <a href="https://www2.gov.bc.ca/assets/gov/environment/air-land-water/water/waterquality/water-quality-guidelines/derivation-protocol/bc_wqg_aquatic_life_derivation_protocol.pdf&amp;ved=2ahUKEwip7IfF_PCFAxUxqlYBHY0YBNMQFnoECBUQAQ&amp;usg=AOvVaw16moKPwHywW1cutwlQaMoK" class="external-link">Derivation
+of water quality guidelines for the protection of aquatic life in
+british columbia. Water quality guideline series, WQG‐06.</a> Province
+of British Columbia, Victoria, BC, Canada
+</div>
+<div id="ref-ssddata" class="csl-entry">
+Fisher R, Thorley J (2021) <a href="https://CRAN.R-project.org/package=ssddata" class="external-link">Ssddata: Species
+sensitivity distribution data</a>
+</div>
+<div id="ref-fox_methodologies_2021" class="csl-entry">
+Fox DR, Fisher R, Thorley JL, Schwarz C (2021) <a href="https://environmetrics.net/docs/FOX%20and%20FISHER%20Final_final_report_rev2.3.pdf?189db0&amp;189db0" class="external-link">Joint
+investigation into <span class="nocase">statistical</span> <span class="nocase">methodologies</span> underpinning the <span class="nocase">derivation</span> of <span class="nocase">toxicant</span>
+<span class="nocase">guideline</span> <span class="nocase">values</span>
+in <span>Australia</span> and <span>New Zealand</span></a>.
+Environmetrics Australia; Australian Institute of Marine Science
+</div>
+<div id="ref-fox_methodologies_2024" class="csl-entry">
+Fox DR, Fisher R, Thorley, L J (2024) <a href="https://doi.org/10.25845/xtvt-yc51" class="external-link">Final report of the joint
+investigation into SSD modelling and ssdtools implementation for the
+derivation of toxicant guidelines values in australia and new
+zealand</a>. Environmetrics Australia; Australian Institute of Marine
+Science
+</div>
+<div id="ref-thorleyschwarz" class="csl-entry">
+Thorley J, Schwarz C (2018a) Ssdtools: Species sensitivity
+distributions. Https://CRAN.r-project.org/package=ssdtools
+</div>
+<div id="ref-thorleysschwartz2018joss" class="csl-entry">
+Thorley J, Schwarz C (2018b) <a href="https://joss.theoj.org/papers/10.21105/joss.01082" class="external-link">Ssdtools: An r
+package to fit species sensitivity distributions.</a> Journal of Open
+Source Software 3:
+</div>
+<div id="ref-warne2018" class="csl-entry">
+Warne M, Batley G, Dam R van, et al (2018) Revised method for deriving
+australian and new zealand water quality guideline values for toxicants
+– update of 2015 version. Prepared for the revision of the Australian
+and New Zealand Guidelines for Fresh and Marine Water Quality Australian
+and New Zealand Governments and Australian state and territory
+governments, Canberra, 48 pp
+</div>
+</div>
+</div>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside>
 </div>
 
@@ -261,15 +462,15 @@ <h2 id="licensing">Licensing<a class="anchor" aria-label="anchor" href="#licensi
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer>
 </div>
 
-  
 
-  
+
+
 
   </body>
 </html>
diff --git a/articles/confidence-intervals.html b/articles/confidence-intervals.html
index 7d6bfb8d..c440f2b5 100644
--- a/articles/confidence-intervals.html
+++ b/articles/confidence-intervals.html
@@ -5,7 +5,6 @@
 <meta charset="utf-8">
 <meta http-equiv="X-UA-Compatible" content="IE=edge">
 <meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
-<meta name="description" content="ssdtools">
 <title>Confidence Intervals for Hazard Concentrations • ssdtools</title>
 <!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png">
 <link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png">
@@ -15,61 +14,41 @@
 <link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png">
 <script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
 <link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
-<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous">
-<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous">
-<!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Confidence Intervals for Hazard Concentrations">
-<meta property="og:description" content="ssdtools">
-<meta property="og:image" content="/logo.png">
-<!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]-->
+<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet">
+<link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet">
+<script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Confidence Intervals for Hazard Concentrations">
 </head>
 <body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
       <ul class="navbar-nav me-auto">
-<li class="nav-item">
-  <a class="nav-link" href="../articles/ssdtools.html">Get started</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../articles/index.html">Articles</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
+<li class="nav-item"><a class="nav-link" href="../articles/ssdtools.html">Get started</a></li>
+<li class="nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="active nav-item"><a class="nav-link" href="../articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
       </ul>
-<form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off">
-</form>
-
-      <ul class="navbar-nav">
-<li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+<ul class="navbar-nav">
+<li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json">
+</form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul>
 </div>
 
-    
+
   </div>
 </nav><div class="container template-article">
 
@@ -82,9 +61,9 @@
                         <h4 data-toc-skip class="author">ssdtools
 Team</h4>
             
-            <h4 data-toc-skip class="date">2024-05-16</h4>
+            <h4 data-toc-skip class="date">2024-09-25</h4>
       
-      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/HEAD/vignettes/articles/confidence-intervals.Rmd" class="external-link"><code>vignettes/articles/confidence-intervals.Rmd</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/main/vignettes/articles/confidence-intervals.Rmd" class="external-link"><code>vignettes/articles/confidence-intervals.Rmd</code></a></small>
       <div class="d-none name"><code>confidence-intervals.Rmd</code></div>
     </div>
 
@@ -299,18 +278,17 @@ <h2 id="comparing-bootrapping-methods">Comparing bootrapping methods<a class="an
 simulation studies.</p>
 <div class="sourceCode" id="cb5"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://ggplot2.tidyverse.org" class="external-link">ggplot2</a></span><span class="op">)</span></span>
-<span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://rpkgs.datanovia.com/ggpubr/" class="external-link">ggpubr</a></span><span class="op">)</span></span>
+<span><span class="co"># library(ggpubr)</span></span>
 <span><span class="va">p1</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/ggplot.html" class="external-link">ggplot</a></span><span class="op">(</span><span class="va">compare_dat</span>, <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/aes.html" class="external-link">aes</a></span><span class="op">(</span><span class="va">method</span>, <span class="va">ucl</span>, fill <span class="op">=</span> <span class="va">method</span><span class="op">)</span><span class="op">)</span> <span class="op">+</span></span>
-<span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/geom_bar.html" class="external-link">geom_bar</a></span><span class="op">(</span>stat<span class="op">=</span><span class="st">"identity"</span>, position<span class="op">=</span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/position_dodge.html" class="external-link">position_dodge</a></span><span class="op">(</span><span class="op">)</span><span class="op">)</span> <span class="op">+</span></span>
+<span>  <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/geom_bar.html" class="external-link">geom_bar</a></span><span class="op">(</span>stat <span class="op">=</span> <span class="st">"identity"</span>, position <span class="op">=</span> <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/position_dodge.html" class="external-link">position_dodge</a></span><span class="op">(</span><span class="op">)</span><span class="op">)</span> <span class="op">+</span></span>
 <span>  <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/ggtheme.html" class="external-link">theme_classic</a></span><span class="op">(</span><span class="op">)</span> <span class="op">+</span></span>
-<span>  <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/theme.html" class="external-link">theme</a></span><span class="op">(</span>axis.text.x <span class="op">=</span> <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/element.html" class="external-link">element_text</a></span><span class="op">(</span>angle <span class="op">=</span> <span class="fl">90</span>, vjust <span class="op">=</span> <span class="fl">0.5</span>, hjust<span class="op">=</span><span class="fl">1</span><span class="op">)</span><span class="op">)</span></span>
+<span>  <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/theme.html" class="external-link">theme</a></span><span class="op">(</span>axis.text.x <span class="op">=</span> <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/element.html" class="external-link">element_text</a></span><span class="op">(</span>angle <span class="op">=</span> <span class="fl">90</span>, vjust <span class="op">=</span> <span class="fl">0.5</span>, hjust <span class="op">=</span> <span class="fl">1</span><span class="op">)</span><span class="op">)</span></span>
 <span><span class="va">p2</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/ggplot.html" class="external-link">ggplot</a></span><span class="op">(</span><span class="va">compare_dat</span>, <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/aes.html" class="external-link">aes</a></span><span class="op">(</span><span class="va">method</span>, <span class="va">lcl</span>, fill <span class="op">=</span> <span class="va">method</span><span class="op">)</span><span class="op">)</span> <span class="op">+</span></span>
-<span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/geom_bar.html" class="external-link">geom_bar</a></span><span class="op">(</span>stat<span class="op">=</span><span class="st">"identity"</span>, position<span class="op">=</span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/position_dodge.html" class="external-link">position_dodge</a></span><span class="op">(</span><span class="op">)</span><span class="op">)</span> <span class="op">+</span></span>
+<span>  <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/geom_bar.html" class="external-link">geom_bar</a></span><span class="op">(</span>stat <span class="op">=</span> <span class="st">"identity"</span>, position <span class="op">=</span> <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/position_dodge.html" class="external-link">position_dodge</a></span><span class="op">(</span><span class="op">)</span><span class="op">)</span> <span class="op">+</span></span>
 <span>  <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/ggtheme.html" class="external-link">theme_classic</a></span><span class="op">(</span><span class="op">)</span> <span class="op">+</span></span>
-<span>  <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/theme.html" class="external-link">theme</a></span><span class="op">(</span>axis.text.x <span class="op">=</span> <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/element.html" class="external-link">element_text</a></span><span class="op">(</span>angle <span class="op">=</span> <span class="fl">90</span>, vjust <span class="op">=</span> <span class="fl">0.5</span>, hjust<span class="op">=</span><span class="fl">1</span><span class="op">)</span><span class="op">)</span></span>
+<span>  <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/theme.html" class="external-link">theme</a></span><span class="op">(</span>axis.text.x <span class="op">=</span> <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/element.html" class="external-link">element_text</a></span><span class="op">(</span>angle <span class="op">=</span> <span class="fl">90</span>, vjust <span class="op">=</span> <span class="fl">0.5</span>, hjust <span class="op">=</span> <span class="fl">1</span><span class="op">)</span><span class="op">)</span></span>
 <span></span>
-<span><span class="fu"><a href="https://rpkgs.datanovia.com/ggpubr/reference/ggarrange.html" class="external-link">ggarrange</a></span><span class="op">(</span><span class="va">p1</span>, <span class="va">p2</span>,common.legend <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></code></pre></div>
-<p><img src="confidence-intervals_files/figure-html/unnamed-chunk-2-1.png" width="672"></p>
+<span><span class="co"># ggarrange(p1, p2,common.legend = TRUE)</span></span></code></pre></div>
 <p>Given the similarity of upper and lower confidence intervals of the
 weighted bootstrap sample method compared to the potentially more
 theoretically correct, but computationally more intensive weighted
@@ -325,10 +303,10 @@ <h2 id="comparing-bootrapping-methods">Comparing bootrapping methods<a class="an
 interval estimation in ssdtools.</p>
 <div class="sourceCode" id="cb6"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="va">p3</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/ggplot.html" class="external-link">ggplot</a></span><span class="op">(</span><span class="va">compare_dat</span>, <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/aes.html" class="external-link">aes</a></span><span class="op">(</span><span class="va">method</span>, <span class="va">time</span>, fill <span class="op">=</span> <span class="va">method</span><span class="op">)</span><span class="op">)</span> <span class="op">+</span></span>
-<span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/geom_bar.html" class="external-link">geom_bar</a></span><span class="op">(</span>stat<span class="op">=</span><span class="st">"identity"</span>, position<span class="op">=</span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/position_dodge.html" class="external-link">position_dodge</a></span><span class="op">(</span><span class="op">)</span><span class="op">)</span> <span class="op">+</span></span>
-<span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/labs.html" class="external-link">ylab</a></span><span class="op">(</span><span class="st">"Elapsed time (seconds)"</span><span class="op">)</span> <span class="op">+</span></span>
-<span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/ggtheme.html" class="external-link">theme_classic</a></span><span class="op">(</span><span class="op">)</span> <span class="op">+</span></span>
-<span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/theme.html" class="external-link">theme</a></span><span class="op">(</span>axis.text.x <span class="op">=</span> <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/element.html" class="external-link">element_text</a></span><span class="op">(</span>angle <span class="op">=</span> <span class="fl">90</span>, vjust <span class="op">=</span> <span class="fl">0.5</span>, hjust<span class="op">=</span><span class="fl">1</span><span class="op">)</span><span class="op">)</span></span>
+<span>  <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/geom_bar.html" class="external-link">geom_bar</a></span><span class="op">(</span>stat <span class="op">=</span> <span class="st">"identity"</span>, position <span class="op">=</span> <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/position_dodge.html" class="external-link">position_dodge</a></span><span class="op">(</span><span class="op">)</span><span class="op">)</span> <span class="op">+</span></span>
+<span>  <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/labs.html" class="external-link">ylab</a></span><span class="op">(</span><span class="st">"Elapsed time (seconds)"</span><span class="op">)</span> <span class="op">+</span></span>
+<span>  <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/ggtheme.html" class="external-link">theme_classic</a></span><span class="op">(</span><span class="op">)</span> <span class="op">+</span></span>
+<span>  <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/theme.html" class="external-link">theme</a></span><span class="op">(</span>axis.text.x <span class="op">=</span> <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/element.html" class="external-link">element_text</a></span><span class="op">(</span>angle <span class="op">=</span> <span class="fl">90</span>, vjust <span class="op">=</span> <span class="fl">0.5</span>, hjust <span class="op">=</span> <span class="fl">1</span><span class="op">)</span><span class="op">)</span></span>
 <span><span class="va">p3</span></span></code></pre></div>
 <p><img src="confidence-intervals_files/figure-html/unnamed-chunk-3-1.png" width="672"></p>
 </div>
@@ -361,7 +339,7 @@ <h2 id="licensing">Licensing<a class="anchor" aria-label="anchor" href="#licensi
 <p>The code is released under the <a href="https://www.apache.org/licenses/LICENSE-2.0" class="external-link">Apache License
 2.0</a></p>
 </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside>
 </div>
 
@@ -372,15 +350,15 @@ <h2 id="licensing">Licensing<a class="anchor" aria-label="anchor" href="#licensi
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer>
 </div>
 
-  
 
-  
+
+
 
   </body>
 </html>
diff --git a/articles/customising-plots.html b/articles/customising-plots.html
index 88ff70e2..0c318c72 100644
--- a/articles/customising-plots.html
+++ b/articles/customising-plots.html
@@ -5,7 +5,6 @@
 <meta charset="utf-8">
 <meta http-equiv="X-UA-Compatible" content="IE=edge">
 <meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
-<meta name="description" content="ssdtools">
 <title>Customising Plots • ssdtools</title>
 <!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png">
 <link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png">
@@ -15,61 +14,41 @@
 <link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png">
 <script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
 <link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
-<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous">
-<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous">
-<!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Customising Plots">
-<meta property="og:description" content="ssdtools">
-<meta property="og:image" content="/logo.png">
-<!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]-->
+<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet">
+<link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet">
+<script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Customising Plots">
 </head>
 <body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
       <ul class="navbar-nav me-auto">
-<li class="nav-item">
-  <a class="nav-link" href="../articles/ssdtools.html">Get started</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../articles/index.html">Articles</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
+<li class="nav-item"><a class="nav-link" href="../articles/ssdtools.html">Get started</a></li>
+<li class="nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="active nav-item"><a class="nav-link" href="../articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
       </ul>
-<form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off">
-</form>
-
-      <ul class="navbar-nav">
-<li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+<ul class="navbar-nav">
+<li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json">
+</form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul>
 </div>
 
-    
+
   </div>
 </nav><div class="container template-article">
 
@@ -82,9 +61,9 @@
                         <h4 data-toc-skip class="author">ssdtools
 Team</h4>
             
-            <h4 data-toc-skip class="date">2024-05-16</h4>
+            <h4 data-toc-skip class="date">2024-09-25</h4>
       
-      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/HEAD/vignettes/customising-plots.Rmd" class="external-link"><code>vignettes/customising-plots.Rmd</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/main/vignettes/customising-plots.Rmd" class="external-link"><code>vignettes/customising-plots.Rmd</code></a></small>
       <div class="d-none name"><code>customising-plots.Rmd</code></div>
     </div>
 
@@ -243,7 +222,9 @@ <h2 id="embellishing-plots-with-an-exposure-distribution">Embellishing Plots wit
 and the cumulative probability of seeing this exposure or less in the
 environment.</p>
 <p>Notice that some care is needed because the ssdtools plot is on the
-logarithmic base 10 scale and not the natural logarithm base <span class="math inline">\(e\)</span> scale.</p>
+logarithmic base 10 scale and not the natural logarithm base
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>e</mi><annotation encoding="application/x-tex">e</annotation></semantics></math>
+scale.</p>
 <div class="sourceCode" id="cb12"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="va">ex.cdf</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/data.frame.html" class="external-link">data.frame</a></span><span class="op">(</span>Conc <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/Log.html" class="external-link">exp</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/seq.html" class="external-link">seq</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/Log.html" class="external-link">log</a></span><span class="op">(</span><span class="fl">.01</span><span class="op">)</span>, <span class="fu"><a href="https://rdrr.io/r/base/Log.html" class="external-link">log</a></span><span class="op">(</span><span class="fl">10</span><span class="op">)</span>, <span class="fl">.1</span><span class="op">)</span><span class="op">)</span><span class="op">)</span> <span class="co"># generate a grid of concentrations</span></span>
 <span><span class="va">ex.cdf</span><span class="op">$</span><span class="va">ex.cdf</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/stats/Lognormal.html" class="external-link">plnorm</a></span><span class="op">(</span><span class="va">ex.cdf</span><span class="op">$</span><span class="va">Conc</span>,</span>
@@ -267,7 +248,7 @@ <h2 id="embellishing-plots-with-an-exposure-distribution">Embellishing Plots wit
 <code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/base/Random.html" class="external-link">set.seed</a></span><span class="op">(</span><span class="fl">99</span><span class="op">)</span></span>
 <span><span class="va">ex.risk</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/ssd_exposure.html">ssd_exposure</a></span><span class="op">(</span><span class="va">fits</span>, meanlog <span class="op">=</span> <span class="va">ex.mean.log</span>, sdlog <span class="op">=</span> <span class="va">ex.sd.log</span><span class="op">)</span></span>
 <span><span class="va">ex.risk</span></span></code></pre></div>
-<pre><code><span><span class="co">## [1] 0.0062416</span></span></code></pre>
+<pre><code><span><span class="co">## [1] 0.006241597</span></span></code></pre>
 <p>The risk of 0.00624 can also be added to the plot in the usual
 way:</p>
 <div class="sourceCode" id="cb16"><pre class="downlit sourceCode r">
@@ -309,7 +290,7 @@ <h2 id="licensing">Licensing<a class="anchor" aria-label="anchor" href="#licensi
 <p>The code is released under the <a href="https://www.apache.org/licenses/LICENSE-2.0" class="external-link">Apache License
 2.0</a></p>
 </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside>
 </div>
 
@@ -320,15 +301,15 @@ <h2 id="licensing">Licensing<a class="anchor" aria-label="anchor" href="#licensi
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer>
 </div>
 
-  
 
-  
+
+
 
   </body>
 </html>
diff --git a/articles/customising-plots_files/figure-html/unnamed-chunk-1-1.png b/articles/customising-plots_files/figure-html/unnamed-chunk-1-1.png
index 2ddaac23..d383b2dc 100644
Binary files a/articles/customising-plots_files/figure-html/unnamed-chunk-1-1.png and b/articles/customising-plots_files/figure-html/unnamed-chunk-1-1.png differ
diff --git a/articles/customising-plots_files/figure-html/unnamed-chunk-10-1.png b/articles/customising-plots_files/figure-html/unnamed-chunk-10-1.png
index 588e21a8..dca93d13 100644
Binary files a/articles/customising-plots_files/figure-html/unnamed-chunk-10-1.png and b/articles/customising-plots_files/figure-html/unnamed-chunk-10-1.png differ
diff --git a/articles/customising-plots_files/figure-html/unnamed-chunk-13-1.png b/articles/customising-plots_files/figure-html/unnamed-chunk-13-1.png
index 86cdf8aa..8685a51d 100644
Binary files a/articles/customising-plots_files/figure-html/unnamed-chunk-13-1.png and b/articles/customising-plots_files/figure-html/unnamed-chunk-13-1.png differ
diff --git a/articles/customising-plots_files/figure-html/unnamed-chunk-15-1.png b/articles/customising-plots_files/figure-html/unnamed-chunk-15-1.png
index 4d405a5a..7d7ebd89 100644
Binary files a/articles/customising-plots_files/figure-html/unnamed-chunk-15-1.png and b/articles/customising-plots_files/figure-html/unnamed-chunk-15-1.png differ
diff --git a/articles/customising-plots_files/figure-html/unnamed-chunk-2-1.png b/articles/customising-plots_files/figure-html/unnamed-chunk-2-1.png
index 79b58c9a..4605584d 100644
Binary files a/articles/customising-plots_files/figure-html/unnamed-chunk-2-1.png and b/articles/customising-plots_files/figure-html/unnamed-chunk-2-1.png differ
diff --git a/articles/customising-plots_files/figure-html/unnamed-chunk-5-1.png b/articles/customising-plots_files/figure-html/unnamed-chunk-5-1.png
index 6acfe2e8..a684dc2c 100644
Binary files a/articles/customising-plots_files/figure-html/unnamed-chunk-5-1.png and b/articles/customising-plots_files/figure-html/unnamed-chunk-5-1.png differ
diff --git a/articles/customising-plots_files/figure-html/unnamed-chunk-7-1.png b/articles/customising-plots_files/figure-html/unnamed-chunk-7-1.png
index e17e60d4..fa31678b 100644
Binary files a/articles/customising-plots_files/figure-html/unnamed-chunk-7-1.png and b/articles/customising-plots_files/figure-html/unnamed-chunk-7-1.png differ
diff --git a/articles/customising-plots_files/figure-html/unnamed-chunk-8-1.png b/articles/customising-plots_files/figure-html/unnamed-chunk-8-1.png
index 28416a11..5be31e45 100644
Binary files a/articles/customising-plots_files/figure-html/unnamed-chunk-8-1.png and b/articles/customising-plots_files/figure-html/unnamed-chunk-8-1.png differ
diff --git a/articles/distributions.html b/articles/distributions.html
index 9b76f77a..76120f45 100644
--- a/articles/distributions.html
+++ b/articles/distributions.html
@@ -5,7 +5,6 @@
 <meta charset="utf-8">
 <meta http-equiv="X-UA-Compatible" content="IE=edge">
 <meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
-<meta name="description" content="ssdtools">
 <title>Distributions in ssdtools • ssdtools</title>
 <!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png">
 <link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png">
@@ -15,61 +14,41 @@
 <link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png">
 <script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
 <link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
-<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous">
-<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous">
-<!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Distributions in ssdtools">
-<meta property="og:description" content="ssdtools">
-<meta property="og:image" content="/logo.png">
-<!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]-->
+<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet">
+<link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet">
+<script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Distributions in ssdtools">
 </head>
 <body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
       <ul class="navbar-nav me-auto">
-<li class="nav-item">
-  <a class="nav-link" href="../articles/ssdtools.html">Get started</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../articles/index.html">Articles</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
+<li class="nav-item"><a class="nav-link" href="../articles/ssdtools.html">Get started</a></li>
+<li class="nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="active nav-item"><a class="nav-link" href="../articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
       </ul>
-<form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off">
-</form>
-
-      <ul class="navbar-nav">
-<li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+<ul class="navbar-nav">
+<li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json">
+</form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul>
 </div>
 
-    
+
   </div>
 </nav><div class="container template-article">
 
@@ -82,9 +61,9 @@
                         <h4 data-toc-skip class="author">ssdtools
 Team</h4>
             
-            <h4 data-toc-skip class="date">2024-05-16</h4>
+            <h4 data-toc-skip class="date">2024-09-25</h4>
       
-      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/HEAD/vignettes/distributions.Rmd" class="external-link"><code>vignettes/distributions.Rmd</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/main/vignettes/distributions.Rmd" class="external-link"><code>vignettes/distributions.Rmd</code></a></small>
       <div class="d-none name"><code>distributions.Rmd</code></div>
     </div>
 
@@ -173,9 +152,11 @@ <h3 id="burr-iii-distribution">Burr III distribution<a class="anchor" aria-label
 for data sets of 8 species or more (Batley et al. 2018; Australian and
 New Zealand Guidelines 2018).”</em>         <span class="citation">(Fox
 et al. 2021a)</span></p>
-<p>The probability density function, <span class="math inline">\({f_X}(x;b,c,k)\)</span> and cumulative
-distribution function, <span class="math inline">\({F_X}(x;b,c,k)\)</span> for the Burr III
-distribution are:</p>
+<p>The probability density function,
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><msub><mi>f</mi><mi>X</mi></msub><mrow><mo stretchy="true" form="prefix">(</mo><mi>x</mi><mo>;</mo><mi>b</mi><mo>,</mo><mi>c</mi><mo>,</mo><mi>k</mi><mo stretchy="true" form="postfix">)</mo></mrow></mrow><annotation encoding="application/x-tex">{f_X}(x;b,c,k)</annotation></semantics></math>
+and cumulative distribution function,
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><msub><mi>F</mi><mi>X</mi></msub><mrow><mo stretchy="true" form="prefix">(</mo><mi>x</mi><mo>;</mo><mi>b</mi><mo>,</mo><mi>c</mi><mo>,</mo><mi>k</mi><mo stretchy="true" form="postfix">)</mo></mrow></mrow><annotation encoding="application/x-tex">{F_X}(x;b,c,k)</annotation></semantics></math>
+for the Burr III distribution are:</p>
 <div style="text-align: center;" font-size: color: class="box">
 <b><u>Burr III distribution</u></b>\[\begin{array}{*{20}{c}}
 {{f_X}(x;b,c,k) = \frac{{b\,k\,c}}{{{x^2}}}\frac{{{{\left( {\frac{b}{x}} \right)}^{c - 1}}}}{{{{\left[ {1 + {{\left( {\frac{b}{x}} \right)}^c}} \right]}^{k + 1}}}}{\rm{ }}}&amp;{b,c,k,x &gt; 0}
@@ -273,10 +254,13 @@ <h4 id="sample-lognormal-mixture-distributions-1">
 one of either the log-normal mixture or the log-logistic mixture. Keep
 in mind that this should only be done if the sample size is not
 pathologically small. As a guide, Prof. David Fox recommends as an
-<em>absolute minimum</em> <span class="math inline">\(n \ge 3k +
-1\)</span> but preferably <span class="math inline">\(n \ge 5k +
-1\)</span> where <span class="math inline">\(k\)</span> is the number of
-model parameters.</p>
+<em>absolute minimum</em>
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>n</mi><mo>≥</mo><mn>3</mn><mi>k</mi><mo>+</mo><mn>1</mn></mrow><annotation encoding="application/x-tex">n \ge 3k + 1</annotation></semantics></math>
+but preferably
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>n</mi><mo>≥</mo><mn>5</mn><mi>k</mi><mo>+</mo><mn>1</mn></mrow><annotation encoding="application/x-tex">n \ge 5k + 1</annotation></semantics></math>
+where
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>k</mi><annotation encoding="application/x-tex">k</annotation></semantics></math>
+is the number of model parameters.</p>
 </div>
 </div>
 </div>
@@ -365,9 +349,13 @@ <h4 id="log-normal">Log-normal<a class="anchor" aria-label="anchor" href="#log-n
 distribution is a commonly used distribution in the natural sciences -
 particularly as a probability model to describe right (positive)-skewed
 pehnomena such as <em>concentration</em> data.</p>
-<p>A random variable, <span class="math inline">\(X\)</span> is
-lognormally distributed if the <em>logarithm</em> of <span class="math inline">\(X\)</span> is normally distributed. The
-<em>pdf</em> of <span class="math inline">\(X\)</span> is given by</p>
+<p>A random variable,
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>X</mi><annotation encoding="application/x-tex">X</annotation></semantics></math>
+is lognormally distributed if the <em>logarithm</em> of
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>X</mi><annotation encoding="application/x-tex">X</annotation></semantics></math>
+is normally distributed. The <em>pdf</em> of
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>X</mi><annotation encoding="application/x-tex">X</annotation></semantics></math>
+is given by</p>
 <div style="text-align: center;" font-size: color: class="box">
 <b><u>Lognormal distribution</u></b>
 \[{f_X}\left( {x;\mu ,\sigma } \right) = \frac{1}{{\sqrt {2\pi } {\kern 1pt} \sigma x}}\exp \left[ { - \frac{{{{\left( {\ln x - \mu } \right)}^2}}}{{2{\sigma ^2}}}} \right]{\rm{  ;  }}x,\sigma  &gt; 0,\; - \infty  
@@ -387,9 +375,11 @@ <h4>
 <h4 id="log-logistic-distribution">Log-logistic distribution<a class="anchor" aria-label="anchor" href="#log-logistic-distribution"></a>
 </h4>
 <p>Like the <em>lognormal</em> distribution, the <a href="https://en.wikipedia.org/wiki/Log-logistic_distribution" class="external-link">log-logistic</a>
-is similarly defined, that is: if <span class="math inline">\(X\)</span>
-has a log-logistic distribution, then <span class="math inline">\(Y =
-\ln (X)\)</span> has a <em>logistic</em> distribution.</p>
+is similarly defined, that is: if
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>X</mi><annotation encoding="application/x-tex">X</annotation></semantics></math>
+has a log-logistic distribution, then
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>Y</mi><mo>=</mo><mo>ln</mo><mrow><mo stretchy="true" form="prefix">(</mo><mi>X</mi><mo stretchy="true" form="postfix">)</mo></mrow></mrow><annotation encoding="application/x-tex">Y = \ln (X)</annotation></semantics></math>
+has a <em>logistic</em> distribution.</p>
 <div style="text-align: center;" font-size: color: class="box">
 <b><u>Log-logistic distribution</u></b>
 \[\begin{array}{l}
@@ -411,9 +401,11 @@ <h4 id="log-logistic-distribution">Log-logistic distribution<a class="anchor" ar
 \end{array}\alpha ,\beta  &gt; 0
 \end{array}\]
 </div>
-<p><br>letting <span class="math inline">\(\mu  = \ln \left(
-\alpha  \right)\)</span> and <span class="math inline">\(s =
-\frac{1}{\beta }\)</span> we have:</p>
+<p><br>letting
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>μ</mi><mo>=</mo><mo>ln</mo><mrow><mo stretchy="true" form="prefix">(</mo><mi>α</mi><mo stretchy="true" form="postfix">)</mo></mrow></mrow><annotation encoding="application/x-tex">\mu  = \ln \left( \alpha  \right)</annotation></semantics></math>
+and
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>s</mi><mo>=</mo><mfrac><mn>1</mn><mi>β</mi></mfrac></mrow><annotation encoding="application/x-tex">s = \frac{1}{\beta }</annotation></semantics></math>
+we have:</p>
 <div style="text-align: center;" font-size: color: class="box">
 <b><u>Logistic distribution</u></b>
 \[\begin{array}{l}
@@ -449,13 +441,15 @@ <h4 id="gamma-distribution">Gamma distribution<a class="anchor" aria-label="anch
 \end{array}  0
 \end{array}\]
 </div>
-<p><br>where <span class="math inline">\(\Gamma
-\left(  \cdot  \right)\)</span> is the <em>gamma</em> function (in
-<code>R</code> this is simply <code>gamma(x)</code>) and <span class="math inline">\(\gamma \left(  \cdot  \right)\)</span> is the
-(lower) <em>incomplete gamma</em> function <span class="math display">\[\gamma \left( {x,a} \right) = \int\limits_0^x
-{{t^{a - 1}}} \,{e^{ - t}}\,dt\]</span> (this can be computed using the
-<code>gammainc</code> function from the <code>pracma</code> package in
-<code>R</code>).</p>
+<p><br>where
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>Γ</mi><mrow><mo stretchy="true" form="prefix">(</mo><mo>⋅</mo><mo stretchy="true" form="postfix">)</mo></mrow></mrow><annotation encoding="application/x-tex">\Gamma \left(  \cdot  \right)</annotation></semantics></math>
+is the <em>gamma</em> function (in <code>R</code> this is simply
+<code>gamma(x)</code>) and
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>γ</mi><mrow><mo stretchy="true" form="prefix">(</mo><mo>⋅</mo><mo stretchy="true" form="postfix">)</mo></mrow></mrow><annotation encoding="application/x-tex">\gamma \left(  \cdot  \right)</annotation></semantics></math>
+is the (lower) <em>incomplete gamma</em> function
+<math display="block" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>γ</mi><mrow><mo stretchy="true" form="prefix">(</mo><mi>x</mi><mo>,</mo><mi>a</mi><mo stretchy="true" form="postfix">)</mo></mrow><mo>=</mo><munderover><mo>∫</mo><mn>0</mn><mi>x</mi></munderover><msup><mi>t</mi><mrow><mi>a</mi><mo>−</mo><mn>1</mn></mrow></msup><mspace width="0.167em"></mspace><msup><mi>e</mi><mrow><mo>−</mo><mi>t</mi></mrow></msup><mspace width="0.167em"></mspace><mi>d</mi><mi>t</mi></mrow><annotation encoding="application/x-tex">\gamma \left( {x,a} \right) = \int\limits_0^x {{t^{a - 1}}} \,{e^{ - t}}\,dt</annotation></semantics></math>
+(this can be computed using the <code>gammainc</code> function from the
+<code>pracma</code> package in <code>R</code>).</p>
 <p>For use in modeling species sensitivity data, the gamma distribution
 has two key features that provide additional flexibility relative to the
 log-normal distribution: 1) it is asymmetrical on the logarithmic scale;
@@ -523,8 +517,11 @@ <h4 id="gompertz-distribution">Gompertz distribution<a class="anchor" aria-label
 \end{array}\quad 0 \le x  0
 \end{array}\]
 </div>
-<p>The second parameterisation in which the <em>product</em> <span class="math inline">\(b\eta\)</span> in the formulae above is replaced
-by the parameter <span class="math inline">\(a\)</span> giving:</p>
+<p>The second parameterisation in which the <em>product</em>
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>b</mi><mi>η</mi></mrow><annotation encoding="application/x-tex">b\eta</annotation></semantics></math>
+in the formulae above is replaced by the parameter
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>a</mi><annotation encoding="application/x-tex">a</annotation></semantics></math>
+giving:</p>
 <div style="text-align: center;" font-size: color: class="box">
 <b><u>Gompertz distribution: Parameterisation II</u></b>
 \[\begin{array}{l}
@@ -556,8 +553,11 @@ <h4 id="weibull-distribution">Weibull distribution<a class="anchor" aria-label="
 necessitated by the need to maintain consistency with the calculations
 undertaken in <code>Burrlioz</code>. As mentioned earlier, both the
 Weibull and inverse Pareto distributions arise as <em>limiting
-distributions</em> when the Burr parameters <span class="math inline">\(c\)</span> and <span class="math inline">\(k\)</span> tend to either zero and/or infinity in
-specific ways.</p>
+distributions</em> when the Burr parameters
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>c</mi><annotation encoding="application/x-tex">c</annotation></semantics></math>
+and
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>k</mi><annotation encoding="application/x-tex">k</annotation></semantics></math>
+tend to either zero and/or infinity in specific ways.</p>
 <p>The two-parameter <a href="https://en.wikipedia.org/wiki/Weibull_distribution" class="external-link">Weibull</a>
 distribution has the following <em>pdf</em> and <em>cdf</em>:</p>
 <div style="text-align: center;" font-size: color: class="box">
@@ -607,16 +607,26 @@ <h4 id="inverse-pareto-distribution">Inverse Pareto distribution<a class="anchor
 <p>As with many statistical distributions, different ‘variants’ exist.
 These ‘variants’ are not so much different distributions as they are
 simple re-parameterisations. For example, many distributions have a
-<em>scale</em> parameter, <span class="math inline">\(\beta\)</span> and
-some authors and texts will use <span class="math inline">\(\beta\)</span> while others use <span class="math inline">\(\frac{1}{\beta }\)</span>. An example of this
-re-paramterisation was given above for the Gompertz distribution. While
-the choice of mathematical representation may be purely preferential, it
-is sometimes done for mathematical convenience. For example,
-Parameterisation I of the Gompertz distribution above was obtained by
-letting <span class="math inline">\(a = b\eta\)</span> in
-Parameterisation II. This re-expression involving parameters <span class="math inline">\(b\)</span> and <span class="math inline">\(\eta\)</span> would be particularly useful when
-trying to fit a distribution for which one of <span class="math inline">\(\left\{ {b,\,\eta } \right\}\)</span> was very
-small and the other was very large.</p>
+<em>scale</em> parameter,
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>β</mi><annotation encoding="application/x-tex">\beta</annotation></semantics></math>
+and some authors and texts will use
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>β</mi><annotation encoding="application/x-tex">\beta</annotation></semantics></math>
+while others use
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mfrac><mn>1</mn><mi>β</mi></mfrac><annotation encoding="application/x-tex">\frac{1}{\beta }</annotation></semantics></math>.
+An example of this re-paramterisation was given above for the Gompertz
+distribution. While the choice of mathematical representation may be
+purely preferential, it is sometimes done for mathematical convenience.
+For example, Parameterisation I of the Gompertz distribution above was
+obtained by letting
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>a</mi><mo>=</mo><mi>b</mi><mi>η</mi></mrow><annotation encoding="application/x-tex">a = b\eta</annotation></semantics></math>
+in Parameterisation II. This re-expression involving parameters
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>b</mi><annotation encoding="application/x-tex">b</annotation></semantics></math>
+and
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>η</mi><annotation encoding="application/x-tex">\eta</annotation></semantics></math>
+would be particularly useful when trying to fit a distribution for which
+one of
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mo stretchy="true" form="prefix">{</mo><mi>b</mi><mo>,</mo><mspace width="0.167em"></mspace><mi>η</mi><mo stretchy="true" form="postfix">}</mo></mrow><annotation encoding="application/x-tex">\left\{ {b,\,\eta } \right\}</annotation></semantics></math>
+was very small and the other was very large.</p>
 <p>It has already been noted that the particular parameterisation of the
 (Inverse)Pareto distribution used in both <code>Burrlioz 2.0</code> and
 <code>ssdtools</code> was <strong>not</strong> a matter of preference,
@@ -654,20 +664,30 @@ <h4 id="inverse-pareto-distribution">Inverse Pareto distribution<a class="anchor
 </div>
 <p><br><br>Importantly, we see that the <em>North American</em> versions
 of these distributions are <b><u>bounded</u></b> with the Pareto
-distribution bounded <strong>below</strong> by <span class="math inline">\(\beta\)</span> and the inverse Pareto distribution
-bounded <em>above</em> by <span class="math inline">\(\frac{1}{\beta
-}\)</span>.<br>As an aside, the <em>mle</em> of <span class="math inline">\(\beta\)</span> in the Pareto distribution is <span class="math display">\[\hat \beta  = \min \left\{ {{X_1}, \ldots ,{X_n}}
-\right\}\]</span> and the <em>mle</em> of <span class="math inline">\(\frac{1}{\beta }\)</span> in the inverse Pareto is
-<span class="math display">\[\begin{array}{*{20}{l}}
+distribution bounded <strong>below</strong> by
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>β</mi><annotation encoding="application/x-tex">\beta</annotation></semantics></math>
+and the inverse Pareto distribution bounded <em>above</em> by
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mfrac><mn>1</mn><mi>β</mi></mfrac><annotation encoding="application/x-tex">\frac{1}{\beta }</annotation></semantics></math>.<br>As
+an aside, the <em>mle</em> of
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>β</mi><annotation encoding="application/x-tex">\beta</annotation></semantics></math>
+in the Pareto distribution is
+<math display="block" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mover><mi>β</mi><mo accent="true">̂</mo></mover><mo>=</mo><mo>min</mo><mrow><mo stretchy="true" form="prefix">{</mo><msub><mi>X</mi><mn>1</mn></msub><mo>,</mo><mi>…</mi><mo>,</mo><msub><mi>X</mi><mi>n</mi></msub><mo stretchy="true" form="postfix">}</mo></mrow></mrow><annotation encoding="application/x-tex">\hat \beta  = \min \left\{ {{X_1}, \ldots ,{X_n}} \right\}</annotation></semantics></math>
+and the <em>mle</em> of
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mfrac><mn>1</mn><mi>β</mi></mfrac><annotation encoding="application/x-tex">\frac{1}{\beta }</annotation></semantics></math>
+in the inverse Pareto is
+<math display="block" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mtable><mtr><mtd columnalign="left" style="text-align: left"><mover><mi>β</mi><mo accent="true">̃</mo></mover><mo>=</mo><mo>max</mo><mrow><mo stretchy="true" form="prefix">{</mo><msub><mi>Y</mi><mn>1</mn></msub><mo>,</mo><mi>…</mi><mo>,</mo><msub><mi>Y</mi><mi>n</mi></msub><mo stretchy="true" form="postfix">}</mo></mrow></mtd></mtr><mtr><mtd columnalign="left" style="text-align: left"><mspace width="1.0em"></mspace><mo>=</mo><mo>max</mo><mrow><mo stretchy="true" form="prefix">{</mo><mfrac><mn>1</mn><msub><mi>X</mi><mn>1</mn></msub></mfrac><mo>,</mo><mi>…</mi><mo>,</mo><mfrac><mn>1</mn><msub><mi>X</mi><mi>n</mi></msub></mfrac><mo stretchy="true" form="postfix">}</mo></mrow><mo>=</mo><mfrac><mn>1</mn><mrow><mo>min</mo><mrow><mo stretchy="true" form="prefix">{</mo><msub><mi>X</mi><mn>1</mn></msub><mo>,</mo><mi>…</mi><mo>,</mo><msub><mi>X</mi><mi>n</mi></msub><mo stretchy="true" form="postfix">}</mo></mrow></mrow></mfrac></mtd></mtr><mtr><mtd columnalign="left" style="text-align: left"><mspace width="1.0em"></mspace><mo>=</mo><mfrac><mn>1</mn><mover><mi>β</mi><mo accent="true">̂</mo></mover></mfrac></mtd></mtr></mtable><annotation encoding="application/x-tex">\begin{array}{*{20}{l}}
 {\tilde \beta  = \max \left\{ {{Y_1}, \ldots ,{Y_n}} \right\}}\\
-{\quad  = \max \left\{ {\frac{1}{{{X_1}}}, \ldots ,\frac{1}{{{X_n}}}}
-\right\} = \frac{1}{{\min \left\{ {{X_1}, \ldots ,{X_n}} \right\}}}}\\
+{\quad  = \max \left\{ {\frac{1}{{{X_1}}}, \ldots ,\frac{1}{{{X_n}}}} \right\} = \frac{1}{{\min \left\{ {{X_1}, \ldots ,{X_n}} \right\}}}}\\
 {\quad  = \frac{1}{{\hat \beta }}}
-\end{array}\]</span>.
-and the <em>mle</em> of <span class="math inline">\(\alpha\)</span>
-is: <span class="math display">\[\hat \alpha  = {\left[ {\ln \left(
-{\frac{g}{{\hat \beta }}} \right)} \right]^{ - 1}}\]</span> where <span class="math inline">\(g\)</span> is the <em>geometric mean</em>: <span class="math display">\[g = {\left[ {\prod\limits_{i = 1}^n {{X_i}} }
-\right]^{\frac{1}{n}}}\]</span>
+\end{array}</annotation></semantics></math>.</p>
+<p>and the <em>mle</em> of
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>α</mi><annotation encoding="application/x-tex">\alpha</annotation></semantics></math>
+is:
+<math display="block" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mover><mi>α</mi><mo accent="true">̂</mo></mover><mo>=</mo><msup><mrow><mo stretchy="true" form="prefix">[</mo><mo>ln</mo><mrow><mo stretchy="true" form="prefix">(</mo><mfrac><mi>g</mi><mover><mi>β</mi><mo accent="true">̂</mo></mover></mfrac><mo stretchy="true" form="postfix">)</mo></mrow><mo stretchy="true" form="postfix">]</mo></mrow><mrow><mo>−</mo><mn>1</mn></mrow></msup></mrow><annotation encoding="application/x-tex">\hat \alpha  = {\left[ {\ln \left( {\frac{g}{{\hat \beta }}} \right)} \right]^{ - 1}}</annotation></semantics></math>
+where
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>g</mi><annotation encoding="application/x-tex">g</annotation></semantics></math>
+is the <em>geometric mean</em>:
+<math display="block" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>g</mi><mo>=</mo><msup><mrow><mo stretchy="true" form="prefix">[</mo><munderover><mo>∏</mo><mrow><mi>i</mi><mo>=</mo><mn>1</mn></mrow><mi>n</mi></munderover><msub><mi>X</mi><mi>i</mi></msub><mo stretchy="true" form="postfix">]</mo></mrow><mfrac><mn>1</mn><mi>n</mi></mfrac></msup></mrow><annotation encoding="application/x-tex">g = {\left[ {\prod\limits_{i = 1}^n {{X_i}} } \right]^{\frac{1}{n}}}</annotation></semantics></math></p>
 <p>Thus, it doesn’t matter whether you’re fitting a Pareto or inverse
 Pareto distribution to your data - the parameter estimates are the
 <u>same</u>.</p>
@@ -752,25 +772,30 @@ <h5 id="relationships-among-distributions-in-ssdtools-1">
 <a class="anchor" aria-label="anchor" href="#relationships-among-distributions-in-ssdtools-1"></a>
 </h5>
 <ol style="list-style-type: decimal">
-<li><p>In the diagram below, <span class="math inline">\(X\)</span>
+<li><p>In the diagram below,
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>X</mi><annotation encoding="application/x-tex">X</annotation></semantics></math>
 denotes the random variable in the box at the <em>beginning</em> of the
 arrow and the expression beside the arrow indicates the mathematical
-transformation of <span class="math inline">\(X\)</span> such that the
-resultant <em>transformed</em> data has the distribution identified in
-the box at the <em>end</em> of the arrow.</p></li>
-<li><p><em>Reciprocal</em> transformations (<span class="math inline">\(\frac{1}{X}\)</span>) are
-<strong>bi-directional</strong> (<span class="math inline">\(\leftrightarrow\)</span>).</p></li>
+transformation of
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>X</mi><annotation encoding="application/x-tex">X</annotation></semantics></math>
+such that the resultant <em>transformed</em> data has the distribution
+identified in the box at the <em>end</em> of the arrow.</p></li>
+<li><p><em>Reciprocal</em> transformations
+(<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mfrac><mn>1</mn><mi>X</mi></mfrac><annotation encoding="application/x-tex">\frac{1}{X}</annotation></semantics></math>)
+are <strong>bi-directional</strong>
+(<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mo>↔</mo><annotation encoding="application/x-tex">\leftrightarrow</annotation></semantics></math>).</p></li>
 <li><p>Although the <em>negative exponential</em> distribution is
 <strong>not</strong> explicitly included in <code>ssdtools</code>, it is
-a special case of the <em>gamma</em> distribution with <span class="math inline">\(c=1\)</span>. It is included in this figure as it
-is related to other distributions that <em>are</em> included in
-<code>ssdtools</code>.</p></li>
+a special case of the <em>gamma</em> distribution with
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>c</mi><mo>=</mo><mn>1</mn></mrow><annotation encoding="application/x-tex">c=1</annotation></semantics></math>.
+It is included in this figure as it is related to other distributions
+that <em>are</em> included in <code>ssdtools</code>.</p></li>
 <li><p>The <em>European</em> versions of the Pareto and inverse Pareto
 distributions are <strong>unbounded</strong>; the <em>North
 American</em> versions are <strong>bounded</strong>.</p></li>
 </ol>
 <hr>
-<p><img src="images/relationships.png" style="width:100.0%"></p>
+<p><img src="images%2Frelationships.png" style="width:100.0%"></p>
 </div>
 <div class="section level2">
 <h2 id="references">References<a class="anchor" aria-label="anchor" href="#references"></a>
@@ -843,7 +868,7 @@ <h2 id="licensing">Licensing<a class="anchor" aria-label="anchor" href="#licensi
 <p>The code is released under the <a href="https://www.apache.org/licenses/LICENSE-2.0" class="external-link">Apache License
 2.0</a></p>
 </div>
-  <aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  <aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside>
 </div>
 
@@ -854,15 +879,15 @@ <h2 id="licensing">Licensing<a class="anchor" aria-label="anchor" href="#licensi
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer>
 </div>
 
-  
 
-  
+
+
 
   </main>
 </div>
diff --git a/articles/faqs.html b/articles/faqs.html
index ed2f3e25..e1a678f8 100644
--- a/articles/faqs.html
+++ b/articles/faqs.html
@@ -5,7 +5,6 @@
 <meta charset="utf-8">
 <meta http-equiv="X-UA-Compatible" content="IE=edge">
 <meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
-<meta name="description" content="ssdtools">
 <title>Frequently Asked Questions • ssdtools</title>
 <!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png">
 <link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png">
@@ -15,61 +14,41 @@
 <link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png">
 <script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
 <link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
-<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous">
-<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous">
-<!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Frequently Asked Questions">
-<meta property="og:description" content="ssdtools">
-<meta property="og:image" content="/logo.png">
-<!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]-->
+<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet">
+<link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet">
+<script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Frequently Asked Questions">
 </head>
 <body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
       <ul class="navbar-nav me-auto">
-<li class="nav-item">
-  <a class="nav-link" href="../articles/ssdtools.html">Get started</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../articles/index.html">Articles</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
+<li class="nav-item"><a class="nav-link" href="../articles/ssdtools.html">Get started</a></li>
+<li class="nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="active nav-item"><a class="nav-link" href="../articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
       </ul>
-<form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off">
-</form>
-
-      <ul class="navbar-nav">
-<li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+<ul class="navbar-nav">
+<li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json">
+</form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul>
 </div>
 
-    
+
   </div>
 </nav><div class="container template-article">
 
@@ -82,9 +61,9 @@
                         <h4 data-toc-skip class="author">ssdtools
 Team</h4>
             
-            <h4 data-toc-skip class="date">2024-05-16</h4>
+            <h4 data-toc-skip class="date">2024-09-25</h4>
       
-      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/HEAD/vignettes/faqs.Rmd" class="external-link"><code>vignettes/faqs.Rmd</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/main/vignettes/faqs.Rmd" class="external-link"><code>vignettes/faqs.Rmd</code></a></small>
       <div class="d-none name"><code>faqs.Rmd</code></div>
     </div>
 
@@ -98,7 +77,7 @@ <h2 id="how-can-i-plot-the-model-averaged-fit-with-individual-fits">How can I pl
 <span></span>
 <span><span class="va">dist</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/ssd_fit_dists.html">ssd_fit_dists</a></span><span class="op">(</span><span class="fu">ssddata</span><span class="fu">::</span><span class="va"><a href="https://rdrr.io/pkg/ssddata/man/ccme_boron.html" class="external-link">ccme_boron</a></span><span class="op">)</span></span>
 <span><span class="fu"><a href="../reference/ssd_plot_cdf.html">ssd_plot_cdf</a></span><span class="op">(</span><span class="va">dist</span>, average <span class="op">=</span> <span class="cn">NA</span><span class="op">)</span></span></code></pre></div>
-<p><img src="faqs_files/figure-html/unnamed-chunk-2-1.png" width="480"></p>
+<p><img src="faqs_files/figure-html/unnamed-chunk-2-1.png" width="576"></p>
 </div>
 <div class="section level2">
 <h2 id="how-do-i-fit-distributions-to-multiple-groups-such-taxa-andor-chemicals">How do I fit distributions to multiple groups such taxa and/or
@@ -125,7 +104,21 @@ <h2 id="how-do-i-fit-distributions-to-multiple-groups-such-taxa-andor-chemicals"
 <div class="sourceCode" id="cb3"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="fu"><a href="../reference/ssd_plot.html">ssd_plot</a></span><span class="op">(</span><span class="va">ccme_boron</span>, <span class="va">boron_preds</span>, xlab <span class="op">=</span> <span class="st">"Concentration (mg/L)"</span>, ci <span class="op">=</span> <span class="cn">FALSE</span><span class="op">)</span> <span class="op">+</span></span>
 <span>  <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/facet_wrap.html" class="external-link">facet_wrap</a></span><span class="op">(</span><span class="op">~</span><span class="va">Group</span><span class="op">)</span></span></code></pre></div>
-<p><img src="faqs_files/figure-html/unnamed-chunk-4-1.png" width="480"></p>
+<p><img src="faqs_files/figure-html/unnamed-chunk-4-1.png" width="576"></p>
+</div>
+<div class="section level2">
+<h2 id="how-do-i-allow-mathematical-expressions-in-the-xlabel-when-using-ssd_plot">How do I allow mathematical expressions in the xlabel when using
+<code>ssd_plot()</code>?<a class="anchor" aria-label="anchor" href="#how-do-i-allow-mathematical-expressions-in-the-xlabel-when-using-ssd_plot"></a>
+</h2>
+<div class="sourceCode" id="cb4"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://ggplot2.tidyverse.org" class="external-link">ggplot2</a></span><span class="op">)</span></span>
+<span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://www.stefanom.io/latex2exp/" class="external-link">latex2exp</a></span><span class="op">)</span></span>
+<span></span>
+<span><span class="fu"><a href="../reference/ssd_plot.html">ssd_plot</a></span><span class="op">(</span><span class="fu">ssddata</span><span class="fu">::</span><span class="va"><a href="https://rdrr.io/pkg/ssddata/man/ccme_boron.html" class="external-link">ccme_boron</a></span>, <span class="fu">ssdtools</span><span class="fu">::</span><span class="va"><a href="../reference/boron_pred.html">boron_pred</a></span>, label <span class="op">=</span> <span class="st">"Species"</span>, shape <span class="op">=</span> <span class="st">"Group"</span><span class="op">)</span> <span class="op">+</span></span>
+<span>  <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/scale_continuous.html" class="external-link">scale_x_continuous</a></span><span class="op">(</span><span class="fu"><a href="https://www.stefanom.io/latex2exp/reference/TeX.html" class="external-link">TeX</a></span><span class="op">(</span><span class="st">"Boron $(\\mu g$/L)$"</span><span class="op">)</span>, breaks <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">1</span>, <span class="fl">10</span>, <span class="fl">100</span>, <span class="fl">1000</span>, <span class="fl">10000</span><span class="op">)</span><span class="op">)</span></span>
+<span><span class="co">#&gt; Scale for <span style="color: #00BB00;">x</span> is already present.</span></span>
+<span><span class="co">#&gt; Adding another scale for <span style="color: #00BB00;">x</span>, which will replace the existing scale.</span></span></code></pre></div>
+<p><img src="faqs_files/figure-html/unnamed-chunk-5-1.png" width="576"></p>
 <div id="refs">
 
 </div>
@@ -142,7 +135,7 @@ <h2 id="licensing">Licensing<a class="anchor" aria-label="anchor" href="#licensi
 <p>The code is released under the <a href="https://www.apache.org/licenses/LICENSE-2.0" class="external-link">Apache License
 2.0</a></p>
 </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside>
 </div>
 
@@ -153,15 +146,15 @@ <h2 id="licensing">Licensing<a class="anchor" aria-label="anchor" href="#licensi
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer>
 </div>
 
-  
 
-  
+
+
 
   </body>
 </html>
diff --git a/articles/faqs_files/figure-html/unnamed-chunk-2-1.png b/articles/faqs_files/figure-html/unnamed-chunk-2-1.png
index a75b06fb..244cfae6 100644
Binary files a/articles/faqs_files/figure-html/unnamed-chunk-2-1.png and b/articles/faqs_files/figure-html/unnamed-chunk-2-1.png differ
diff --git a/articles/faqs_files/figure-html/unnamed-chunk-4-1.png b/articles/faqs_files/figure-html/unnamed-chunk-4-1.png
index d4203609..eecebb34 100644
Binary files a/articles/faqs_files/figure-html/unnamed-chunk-4-1.png and b/articles/faqs_files/figure-html/unnamed-chunk-4-1.png differ
diff --git a/articles/faqs_files/figure-html/unnamed-chunk-5-1.png b/articles/faqs_files/figure-html/unnamed-chunk-5-1.png
new file mode 100644
index 00000000..d4b2d835
Binary files /dev/null and b/articles/faqs_files/figure-html/unnamed-chunk-5-1.png differ
diff --git a/articles/index.html b/articles/index.html
index 96cf5531..6c689534 100644
--- a/articles/index.html
+++ b/articles/index.html
@@ -1,47 +1,30 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Articles • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Articles"><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Articles • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Articles"><meta property="og:image" content="/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/ssdtools.html">Get started</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../articles/index.html">Articles</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/ssdtools.html">Get started</a></li>
+<li class="nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="active nav-item"><a class="nav-link" href="../articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-article-index">
 <div class="row">
@@ -74,14 +57,14 @@ <h3>All vignettes</h3>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/articles/model-averaging.html b/articles/model-averaging.html
index b34532d1..ff03eb80 100644
--- a/articles/model-averaging.html
+++ b/articles/model-averaging.html
@@ -5,7 +5,6 @@
 <meta charset="utf-8">
 <meta http-equiv="X-UA-Compatible" content="IE=edge">
 <meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
-<meta name="description" content="ssdtools">
 <title>Model Averaged SSDs • ssdtools</title>
 <!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png">
 <link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png">
@@ -15,61 +14,41 @@
 <link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png">
 <script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
 <link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
-<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous">
-<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous">
-<!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Model Averaged SSDs">
-<meta property="og:description" content="ssdtools">
-<meta property="og:image" content="/logo.png">
-<!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]-->
+<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet">
+<link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet">
+<script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Model Averaged SSDs">
 </head>
 <body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
       <ul class="navbar-nav me-auto">
-<li class="nav-item">
-  <a class="nav-link" href="../articles/ssdtools.html">Get started</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../articles/index.html">Articles</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
+<li class="nav-item"><a class="nav-link" href="../articles/ssdtools.html">Get started</a></li>
+<li class="nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="active nav-item"><a class="nav-link" href="../articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
       </ul>
-<form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off">
-</form>
-
-      <ul class="navbar-nav">
-<li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+<ul class="navbar-nav">
+<li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json">
+</form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul>
 </div>
 
-    
+
   </div>
 </nav><div class="container template-article">
 
@@ -82,9 +61,9 @@
                         <h4 data-toc-skip class="author">ssdtools
 Team</h4>
             
-            <h4 data-toc-skip class="date">2024-05-16</h4>
+            <h4 data-toc-skip class="date">2024-09-25</h4>
       
-      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/HEAD/vignettes/model-averaging.Rmd" class="external-link"><code>vignettes/model-averaging.Rmd</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/main/vignettes/model-averaging.Rmd" class="external-link"><code>vignettes/model-averaging.Rmd</code></a></small>
       <div class="d-none name"><code>model-averaging.Rmd</code></div>
     </div>
 
@@ -167,7 +146,8 @@ <h2 id="preliminaries">Preliminaries<a class="anchor" aria-label="anchor" href="
 this information loss. Indeed, much of ‘conventional’ statistical theory
 and practice is focused on the mean. Examples include T-tests, ANOVA,
 regression, and clustering. When we talk of an ‘average’ we are usually
-referring to the simple, <em>arithmetic mean</em>:<span class="math display">\[\bar{X}=\frac{1}{n}\sum\limits_{i=1}^{n}{{{X}_{i}}}\]</span>
+referring to the simple, <em>arithmetic
+mean</em>:<math display="block" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mover><mi>X</mi><mo accent="true">‾</mo></mover><mo>=</mo><mfrac><mn>1</mn><mi>n</mi></mfrac><munderover><mo>∑</mo><mrow><mi>i</mi><mo>=</mo><mn>1</mn></mrow><mi>n</mi></munderover><msub><mi>X</mi><mi>i</mi></msub></mrow><annotation encoding="application/x-tex">\bar{X}=\frac{1}{n}\sum\limits_{i=1}^{n}{{{X}_{i}}}</annotation></semantics></math>
 although we recognize there are other types of mean including the
 geometric mean, the harmonic mean and the weighted mean. The last of
 these is particularly pertinent to model averaging.</p>
@@ -175,29 +155,36 @@ <h2 id="preliminaries">Preliminaries<a class="anchor" aria-label="anchor" href="
 <h3 id="weighted-averages">Weighted Averages<a class="anchor" aria-label="anchor" href="#weighted-averages"></a>
 </h3>
 <p>For the simple arithmetic mean, all of the individual values receive
-the same weighting - they each contribute <span class="math inline">\(\frac{1}{n}\)</span> to the summation. While this
-is appropriate in many cases, it’s not useful when the components
-contribute to varying degrees. An example familiar to ecotoxicologists
-is that of a <em>time-varying</em> concentration as shown in the figure
-below.<br></p>
-<p><img src="images/Figure1.jpg" style="width:90.0%" align="center"></p>
+the same weighting - they each contribute
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mfrac><mn>1</mn><mi>n</mi></mfrac><annotation encoding="application/x-tex">\frac{1}{n}</annotation></semantics></math>
+to the summation. While this is appropriate in many cases, it’s not
+useful when the components contribute to varying degrees. An example
+familiar to ecotoxicologists is that of a <em>time-varying</em>
+concentration as shown in the figure below.<br></p>
+<p><img src="images%2FFigure1.jpg" style="width:90.0%" align="center"></p>
 <p>From the figure we see there are 5 concentrations going from left to
-to right: <span class="math inline">\(\left\{ 0.25,0.95,0.25,0.12,0.5
-\right\}\)</span>. If we were to take the simple arithmetic mean of
-these concentrations we get <span class="math inline">\(\bar{X}=0.414\)</span>. But this ignores the
-different <em>durations</em> of these 5 concentrations. Of the 170
-hours, 63 were at concentration 0.25, 25 at concentration 0.95, 23 at
-concentration 0.25, 23 at concentration 0.12, and 36 at concentration
-0.50. So if we were to <em>weight</em> these concentrations by time
-have:<br><span class="math display">\[{{{\bar{X}}}_{TW}}=\frac{\left(
-63\cdot 0.25+25\cdot 0.95+23\cdot 0.25+23\cdot 0.12+36\cdot 0.50
-\right)}{\left( 63+25+23+23+36
-\right)}=\frac{56.01}{170}=0.33\]</span><br>So, our formula for a
-<em>weighted average</em> is:<span class="math display">\[\bar{X}=\sum\limits_{i=1}^{n}{{{w}_{i}}{{X}_{i}}}\]</span>
-with <span class="math inline">\(0\le {{w}_{i}}\le 1\)</span> and <span class="math inline">\(\sum\limits_{i=1}^{n}{{{w}_{i}}=1}\)</span>.<br>Note,
+to right:
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mo stretchy="true" form="prefix">{</mo><mn>0.25</mn><mo>,</mo><mn>0.95</mn><mo>,</mo><mn>0.25</mn><mo>,</mo><mn>0.12</mn><mo>,</mo><mn>0.5</mn><mo stretchy="true" form="postfix">}</mo></mrow><annotation encoding="application/x-tex">\left\{ 0.25,0.95,0.25,0.12,0.5 \right\}</annotation></semantics></math>.
+If we were to take the simple arithmetic mean of these concentrations we
+get
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mover><mi>X</mi><mo accent="true">‾</mo></mover><mo>=</mo><mn>0.414</mn></mrow><annotation encoding="application/x-tex">\bar{X}=0.414</annotation></semantics></math>.
+But this ignores the different <em>durations</em> of these 5
+concentrations. Of the 170 hours, 63 were at concentration 0.25, 25 at
+concentration 0.95, 23 at concentration 0.25, 23 at concentration 0.12,
+and 36 at concentration 0.50. So if we were to <em>weight</em> these
+concentrations by time
+have:<br><math display="block" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><msub><mover><mi>X</mi><mo accent="true">‾</mo></mover><mrow><mi>T</mi><mi>W</mi></mrow></msub><mo>=</mo><mfrac><mrow><mo stretchy="true" form="prefix">(</mo><mn>63</mn><mo>⋅</mo><mn>0.25</mn><mo>+</mo><mn>25</mn><mo>⋅</mo><mn>0.95</mn><mo>+</mo><mn>23</mn><mo>⋅</mo><mn>0.25</mn><mo>+</mo><mn>23</mn><mo>⋅</mo><mn>0.12</mn><mo>+</mo><mn>36</mn><mo>⋅</mo><mn>0.50</mn><mo stretchy="true" form="postfix">)</mo></mrow><mrow><mo stretchy="true" form="prefix">(</mo><mn>63</mn><mo>+</mo><mn>25</mn><mo>+</mo><mn>23</mn><mo>+</mo><mn>23</mn><mo>+</mo><mn>36</mn><mo stretchy="true" form="postfix">)</mo></mrow></mfrac><mo>=</mo><mfrac><mn>56.01</mn><mn>170</mn></mfrac><mo>=</mo><mn>0.33</mn></mrow><annotation encoding="application/x-tex">{{{\bar{X}}}_{TW}}=\frac{\left( 63\cdot 0.25+25\cdot 0.95+23\cdot 0.25+23\cdot 0.12+36\cdot 0.50 \right)}{\left( 63+25+23+23+36 \right)}=\frac{56.01}{170}=0.33</annotation></semantics></math><br>So,
+our formula for a <em>weighted average</em>
+is:<math display="block" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mover><mi>X</mi><mo accent="true">‾</mo></mover><mo>=</mo><munderover><mo>∑</mo><mrow><mi>i</mi><mo>=</mo><mn>1</mn></mrow><mi>n</mi></munderover><mrow><msub><mi>w</mi><mi>i</mi></msub><msub><mi>X</mi><mi>i</mi></msub></mrow></mrow><annotation encoding="application/x-tex">\bar{X}=\sum\limits_{i=1}^{n}{{{w}_{i}}{{X}_{i}}}</annotation></semantics></math>
+with
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mn>0</mn><mo>≤</mo><msub><mi>w</mi><mi>i</mi></msub><mo>≤</mo><mn>1</mn></mrow><annotation encoding="application/x-tex">0\le {{w}_{i}}\le 1</annotation></semantics></math>
+and
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><munderover><mo>∑</mo><mrow><mi>i</mi><mo>=</mo><mn>1</mn></mrow><mi>n</mi></munderover><mrow><msub><mi>w</mi><mi>i</mi></msub><mo>=</mo><mn>1</mn></mrow></mrow><annotation encoding="application/x-tex">\sum\limits_{i=1}^{n}{{{w}_{i}}=1}</annotation></semantics></math>.<br>Note,
 the simple arithmetic mean is just a special case of the weighted mean
-with <span class="math inline">\(\sum\limits_{i=1}^{n}{{{w}_{i}}=\frac{1}{n}}\)</span>
-; <span class="math inline">\(\forall i=1,\ldots ,n\)</span></p>
+with
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><munderover><mo>∑</mo><mrow><mi>i</mi><mo>=</mo><mn>1</mn></mrow><mi>n</mi></munderover><mrow><msub><mi>w</mi><mi>i</mi></msub><mo>=</mo><mfrac><mn>1</mn><mi>n</mi></mfrac></mrow></mrow><annotation encoding="application/x-tex">\sum\limits_{i=1}^{n}{{{w}_{i}}=\frac{1}{n}}</annotation></semantics></math>
+;
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mo>∀</mo><mi>i</mi><mo>=</mo><mn>1</mn><mo>,</mo><mi>…</mi><mo>,</mo><mi>n</mi></mrow><annotation encoding="application/x-tex">\forall i=1,\ldots ,n</annotation></semantics></math></p>
 </div>
 </div>
 <div class="section level2">
@@ -247,11 +234,11 @@ <h2 id="model-averaging">Model Averaging<a class="anchor" aria-label="anchor" hr
 <code>R</code>. Thus we have:</p>
 <div class="sourceCode" id="cb2"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="co"># Model 1 HC20</span></span>
-<span><span class="fu"><a href="https://rdrr.io/r/base/cat.html" class="external-link">cat</a></span><span class="op">(</span><span class="st">"Model 1 HC20 ="</span>,<span class="fu"><a href="https://rdrr.io/r/stats/Lognormal.html" class="external-link">qlnorm</a></span><span class="op">(</span><span class="fl">0.2</span>,<span class="op">-</span><span class="fl">1.067</span>,<span class="fl">0.414</span><span class="op">)</span><span class="op">)</span></span>
+<span><span class="fu"><a href="https://rdrr.io/r/base/cat.html" class="external-link">cat</a></span><span class="op">(</span><span class="st">"Model 1 HC20 ="</span>, <span class="fu"><a href="https://rdrr.io/r/stats/Lognormal.html" class="external-link">qlnorm</a></span><span class="op">(</span><span class="fl">0.2</span>, <span class="op">-</span><span class="fl">1.067</span>, <span class="fl">0.414</span><span class="op">)</span><span class="op">)</span></span>
 <span><span class="co">#&gt; Model 1 HC20 = 0.2428209</span></span>
 <span></span>
 <span><span class="co"># Model 2 HC20</span></span>
-<span><span class="fu"><a href="https://rdrr.io/r/base/cat.html" class="external-link">cat</a></span><span class="op">(</span><span class="st">"Model 2 HC20 ="</span>,<span class="fu"><a href="https://rdrr.io/r/stats/Lognormal.html" class="external-link">qlnorm</a></span><span class="op">(</span><span class="fl">0.2</span>,<span class="op">-</span><span class="fl">0.387</span>,<span class="fl">0.617</span><span class="op">)</span><span class="op">)</span></span>
+<span><span class="fu"><a href="https://rdrr.io/r/base/cat.html" class="external-link">cat</a></span><span class="op">(</span><span class="st">"Model 2 HC20 ="</span>, <span class="fu"><a href="https://rdrr.io/r/stats/Lognormal.html" class="external-link">qlnorm</a></span><span class="op">(</span><span class="fl">0.2</span>, <span class="op">-</span><span class="fl">0.387</span>, <span class="fl">0.617</span><span class="op">)</span><span class="op">)</span></span>
 <span><span class="co">#&gt; Model 2 HC20 = 0.4040243</span></span></code></pre></div>
 <p>What about the averaged distribution? An intuitively appealing
 approach would be to apply the same weights to the individual
@@ -277,57 +264,69 @@ <h4 id="model-averaged-ssds-1">
 The fallacy of weighting individual <em>HCx</em> values
 <a class="anchor" aria-label="anchor" href="#model-averaged-ssds-1"></a>
 </h4>
-<p>The correct expression for a model-averaged SSD is: <span class="math display">\[G\left( x \right) = \sum\limits_{i = 1}^k {{w_i}}
-{F_i}\left( x \right)\]</span> where <span class="math inline">\({F_i}\left(  \cdot  \right)\)</span> is the
-<em>i<sup>th</sup></em> component SSD (i.e. <em>cdf</em>) and
-<em>w<sub>i</sub></em> is the weight assigned to <span class="math inline">\({F_i}\left(  \cdot  \right)\)</span>. <br>Notice
-that the function <span class="math inline">\(G\left( x \right)\)</span>
+<p>The correct expression for a model-averaged SSD is:
+<math display="block" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>G</mi><mrow><mo stretchy="true" form="prefix">(</mo><mi>x</mi><mo stretchy="true" form="postfix">)</mo></mrow><mo>=</mo><munderover><mo>∑</mo><mrow><mi>i</mi><mo>=</mo><mn>1</mn></mrow><mi>k</mi></munderover><msub><mi>w</mi><mi>i</mi></msub><msub><mi>F</mi><mi>i</mi></msub><mrow><mo stretchy="true" form="prefix">(</mo><mi>x</mi><mo stretchy="true" form="postfix">)</mo></mrow></mrow><annotation encoding="application/x-tex">G\left( x \right) = \sum\limits_{i = 1}^k {{w_i}} {F_i}\left( x \right)</annotation></semantics></math>
+where
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><msub><mi>F</mi><mi>i</mi></msub><mrow><mo stretchy="true" form="prefix">(</mo><mo>⋅</mo><mo stretchy="true" form="postfix">)</mo></mrow></mrow><annotation encoding="application/x-tex">{F_i}\left(  \cdot  \right)</annotation></semantics></math>
+is the <em>i<sup>th</sup></em> component SSD (i.e. <em>cdf</em>) and
+<em>w<sub>i</sub></em> is the weight assigned to
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><msub><mi>F</mi><mi>i</mi></msub><mrow><mo stretchy="true" form="prefix">(</mo><mo>⋅</mo><mo stretchy="true" form="postfix">)</mo></mrow></mrow><annotation encoding="application/x-tex">{F_i}\left(  \cdot  \right)</annotation></semantics></math>.
+<br>Notice that the function
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>G</mi><mrow><mo stretchy="true" form="prefix">(</mo><mi>x</mi><mo stretchy="true" form="postfix">)</mo></mrow></mrow><annotation encoding="application/x-tex">G\left( x \right)</annotation></semantics></math>
 is a proper <em>cumulative distribution function</em> (<em>cdf</em>)
-which means for a given quantile, <em>x</em>, <span class="math inline">\(G\left( x \right)\)</span> returns the
-<em>cumulative probability</em>: <span class="math display">\[P\left[ {X
-\leqslant x} \right]\]</span></p>
+which means for a given quantile, <em>x</em>,
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>G</mi><mrow><mo stretchy="true" form="prefix">(</mo><mi>x</mi><mo stretchy="true" form="postfix">)</mo></mrow></mrow><annotation encoding="application/x-tex">G\left( x \right)</annotation></semantics></math>
+returns the <em>cumulative probability</em>:
+<math display="block" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>P</mi><mrow><mo stretchy="true" form="prefix">[</mo><mi>X</mi><mo>≤</mo><mi>x</mi><mo stretchy="true" form="postfix">]</mo></mrow></mrow><annotation encoding="application/x-tex">P\left[ {X \leqslant x} \right]</annotation></semantics></math></p>
 <p><br>Now, the <em>incorrect</em> approach takes a weighted sum of the
 component <em>inverse cdf’s</em>, that is:</p>
-<span class="math display">\[H\left( p \right) = \sum\limits_{i = 1}^k
-{{w_i}} {F_i}^{ - 1}\left( p \right)\]</span> where <span class="math inline">\({F_i}^{ - 1}\left(  \cdot  \right)\)</span> is the
-<em>i<sup>th</sup></em> <em>inverse cdf</em>. Notice that <span class="math inline">\({G_i}\left(  \cdot  \right)\)</span> is a function
-of a <em>quantile</em> and returns a <strong>probability</strong> while
-<span class="math inline">\({H_i}\left(  \cdot  \right)\)</span> is a
-function of a <em>probability</em> and returns an
+<math display="block" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>H</mi><mrow><mo stretchy="true" form="prefix">(</mo><mi>p</mi><mo stretchy="true" form="postfix">)</mo></mrow><mo>=</mo><munderover><mo>∑</mo><mrow><mi>i</mi><mo>=</mo><mn>1</mn></mrow><mi>k</mi></munderover><msub><mi>w</mi><mi>i</mi></msub><msup><msub><mi>F</mi><mi>i</mi></msub><mrow><mo>−</mo><mn>1</mn></mrow></msup><mrow><mo stretchy="true" form="prefix">(</mo><mi>p</mi><mo stretchy="true" form="postfix">)</mo></mrow></mrow><annotation encoding="application/x-tex">H\left( p \right) = \sum\limits_{i = 1}^k {{w_i}} {F_i}^{ - 1}\left( p \right)</annotation></semantics></math>
+where
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><msup><msub><mi>F</mi><mi>i</mi></msub><mrow><mo>−</mo><mn>1</mn></mrow></msup><mrow><mo stretchy="true" form="prefix">(</mo><mo>⋅</mo><mo stretchy="true" form="postfix">)</mo></mrow></mrow><annotation encoding="application/x-tex">{F_i}^{ - 1}\left(  \cdot  \right)</annotation></semantics></math>
+is the <em>i<sup>th</sup></em> <em>inverse cdf</em>. Notice that
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><msub><mi>G</mi><mi>i</mi></msub><mrow><mo stretchy="true" form="prefix">(</mo><mo>⋅</mo><mo stretchy="true" form="postfix">)</mo></mrow></mrow><annotation encoding="application/x-tex">{G_i}\left(  \cdot  \right)</annotation></semantics></math>
+is a function of a <em>quantile</em> and returns a
+<strong>probability</strong> while
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><msub><mi>H</mi><mi>i</mi></msub><mrow><mo stretchy="true" form="prefix">(</mo><mo>⋅</mo><mo stretchy="true" form="postfix">)</mo></mrow></mrow><annotation encoding="application/x-tex">{H_i}\left(  \cdot  \right)</annotation></semantics></math>
+is a function of a <em>probability</em> and returns an
 <strong>quantile</strong>.
 <p>
 Now, the <u>correct</u> method of determining the <em>HCx</em> is to
-work with the proper model-averaged <em>cdf</em> <span class="math inline">\(G\left( x \right)\)</span>. This means finding the
-<strong>inverse</strong> function <span class="math inline">\({G^{ -
-1}}\left( p \right)\)</span>. We’ll address how we do this in a moment.
+work with the proper model-averaged <em>cdf</em>
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>G</mi><mrow><mo stretchy="true" form="prefix">(</mo><mi>x</mi><mo stretchy="true" form="postfix">)</mo></mrow></mrow><annotation encoding="application/x-tex">G\left( x \right)</annotation></semantics></math>.
+This means finding the <strong>inverse</strong> function
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><msup><mi>G</mi><mrow><mo>−</mo><mn>1</mn></mrow></msup><mrow><mo stretchy="true" form="prefix">(</mo><mi>p</mi><mo stretchy="true" form="postfix">)</mo></mrow></mrow><annotation encoding="application/x-tex">{G^{ - 1}}\left( p \right)</annotation></semantics></math>.
+We’ll address how we do this in a moment.
 </p>
-The reason why <span class="math inline">\(H\left( p \right)\)</span>
+The reason why
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>H</mi><mrow><mo stretchy="true" form="prefix">(</mo><mi>p</mi><mo stretchy="true" form="postfix">)</mo></mrow></mrow><annotation encoding="application/x-tex">H\left( p \right)</annotation></semantics></math>
 does <strong>not</strong> return the correct result is because of <u>the
-implicit assumption that the inverse of <span class="math inline">\(G\left( x \right)\)</span> is equivalent to <span class="math inline">\(H\left( p \right)\)</span>.</u> This is akin to
-stating the inverse of a <em>sum</em> is equal to the sum of the
-inverses i.e. <span class="math display">\[\sum\limits_{i = 1}^n
-{\frac{1}{{{X_i}}}}  = \frac{1}{{\sum\limits_{i = 1}^n {{X_i}}
-}}{\text{  ???}}\]</span>
-<hr>
+implicit assumption that the inverse of
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>G</mi><mrow><mo stretchy="true" form="prefix">(</mo><mi>x</mi><mo stretchy="true" form="postfix">)</mo></mrow></mrow><annotation encoding="application/x-tex">G\left( x \right)</annotation></semantics></math>
+is equivalent to
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>H</mi><mrow><mo stretchy="true" form="prefix">(</mo><mi>p</mi><mo stretchy="true" form="postfix">)</mo></mrow></mrow><annotation encoding="application/x-tex">H\left( p \right)</annotation></semantics></math>.</u>
+This is akin to stating the inverse of a <em>sum</em> is equal to the
+sum of the inverses i.e.
+<math display="block" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><munderover><mo>∑</mo><mrow><mi>i</mi><mo>=</mo><mn>1</mn></mrow><mi>n</mi></munderover><mfrac><mn>1</mn><msub><mi>X</mi><mi>i</mi></msub></mfrac><mo>=</mo><mfrac><mn>1</mn><mrow><munderover><mo>∑</mo><mrow><mi>i</mi><mo>=</mo><mn>1</mn></mrow><mi>n</mi></munderover><msub><mi>X</mi><mi>i</mi></msub></mrow></mfrac><mrow><mspace width="0.333em"></mspace><mtext mathvariant="normal"> ???</mtext></mrow></mrow><annotation encoding="application/x-tex">\sum\limits_{i = 1}^n {\frac{1}{{{X_i}}}}  = \frac{1}{{\sum\limits_{i = 1}^n {{X_i}} }}{\text{  ???}}</annotation></semantics></math><hr>
 <b><u>For the mathematical nerds:</u></b> There are some very special
 cases where the above identity does in fact hold, but for that you need
 to use <strong>complex numbers</strong>.
 <p>
-For example, consider two complex numbers <span class="math display">\[{\text{a = }}\frac{{\left( {5 - i}
-\right)}}{2}{\text{   and     }}b =  - 1.683 - 1.915i\]</span> It can be
-shown that <span class="math display">\[\frac{1}{{a + b}} = \frac{1}{a}
-+ \frac{1}{b} = 0.126 + 0.372i\]</span>
-</p>
+For example, consider two complex numbers
+<math display="block" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mrow><mtext mathvariant="normal">a = </mtext><mspace width="0.333em"></mspace></mrow><mfrac><mrow><mo stretchy="true" form="prefix">(</mo><mn>5</mn><mo>−</mo><mi>i</mi><mo stretchy="true" form="postfix">)</mo></mrow><mn>2</mn></mfrac><mrow><mspace width="0.333em"></mspace><mtext mathvariant="normal"> and </mtext><mspace width="0.333em"></mspace></mrow><mi>b</mi><mo>=</mo><mo>−</mo><mn>1.683</mn><mo>−</mo><mn>1.915</mn><mi>i</mi></mrow><annotation encoding="application/x-tex">{\text{a = }}\frac{{\left( {5 - i} \right)}}{2}{\text{   and     }}b =  - 1.683 - 1.915i</annotation></semantics></math>
+It can be shown that
+<math display="block" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mfrac><mn>1</mn><mrow><mi>a</mi><mo>+</mo><mi>b</mi></mrow></mfrac><mo>=</mo><mfrac><mn>1</mn><mi>a</mi></mfrac><mo>+</mo><mfrac><mn>1</mn><mi>b</mi></mfrac><mo>=</mo><mn>0.126</mn><mo>+</mo><mn>0.372</mn><mi>i</mi></mrow><annotation encoding="application/x-tex">\frac{1}{{a + b}} = \frac{1}{a} + \frac{1}{b} = 0.126 + 0.372i</annotation></semantics></math></p>
 <hr>
 <p>
 Back to the issue at hand, and since we’re not dealing with complex
-numbers, it’s safe to say:<span class="math display">\[{G^{ - 1}}\left(
-p \right) \ne H\left( p \right)\]</span>
-</p>
-<p>If you need a visual demonstration, we can plot <span class="math inline">\(G\left( x \right)\)</span> and the
-<em>inverse</em> of <span class="math inline">\(H\left( p
-\right)\)</span> both as functions of <em>x</em> (a quantile) for our
-two-component lognormal distribution above.</p>
+numbers, it’s safe to
+say:<math display="block" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><msup><mi>G</mi><mrow><mo>−</mo><mn>1</mn></mrow></msup><mrow><mo stretchy="true" form="prefix">(</mo><mi>p</mi><mo stretchy="true" form="postfix">)</mo></mrow><mo>≠</mo><mi>H</mi><mrow><mo stretchy="true" form="prefix">(</mo><mi>p</mi><mo stretchy="true" form="postfix">)</mo></mrow></mrow><annotation encoding="application/x-tex">{G^{ - 1}}\left( p \right) \ne H\left( p \right)</annotation></semantics></math></p>
+<p>If you need a visual demonstration, we can plot
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>G</mi><mrow><mo stretchy="true" form="prefix">(</mo><mi>x</mi><mo stretchy="true" form="postfix">)</mo></mrow></mrow><annotation encoding="application/x-tex">G\left( x \right)</annotation></semantics></math>
+and the <em>inverse</em> of
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>H</mi><mrow><mo stretchy="true" form="prefix">(</mo><mi>p</mi><mo stretchy="true" form="postfix">)</mo></mrow></mrow><annotation encoding="application/x-tex">H\left( p \right)</annotation></semantics></math>
+both as functions of <em>x</em> (a quantile) for our two-component
+lognormal distribution above.</p>
 <p><img src="model-averaging_files/figure-html/unnamed-chunk-10-1.png" width="768"></p>
 Clearly, the two functions are <strong>not</strong> the same and thus
 <em>HCx</em> values derived from each will nearly always be different
@@ -350,25 +349,30 @@ <h2 id="computing-a-model-averaged-hcx">Computing a model-averaged <em>HCx</em><
 <strong>the inversion principle</strong>.
 <p>
 More formally, the inversion principle states that an <em>HCx</em>
-(denoted as <span class="math inline">\({\varphi _x}\)</span>)
+(denoted as
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><msub><mi>φ</mi><mi>x</mi></msub><annotation encoding="application/x-tex">{\varphi _x}</annotation></semantics></math>)
 <u><i>must</i></u> satisfy the following:
 </p>
 <p>
-<span class="math display">\[df\left( {{\varphi _x}} \right) = x\quad
-\quad and\quad \quad qf\left( x \right) = {\varphi _x}\]</span>
-</p>
+<math display="block" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>d</mi><mi>f</mi><mrow><mo stretchy="true" form="prefix">(</mo><msub><mi>φ</mi><mi>x</mi></msub><mo stretchy="true" form="postfix">)</mo></mrow><mo>=</mo><mi>x</mi><mspace width="1.0em"></mspace><mspace width="1.0em"></mspace><mi>a</mi><mi>n</mi><mi>d</mi><mspace width="1.0em"></mspace><mspace width="1.0em"></mspace><mi>q</mi><mi>f</mi><mrow><mo stretchy="true" form="prefix">(</mo><mi>x</mi><mo stretchy="true" form="postfix">)</mo></mrow><mo>=</mo><msub><mi>φ</mi><mi>x</mi></msub></mrow><annotation encoding="application/x-tex">df\left( {{\varphi _x}} \right) = x\quad \quad and\quad \quad qf\left( x \right) = {\varphi _x}</annotation></semantics></math></p>
 <p>
-where <span class="math inline">\(df\left(  \cdot  \right)\)</span> is a
-model-averaged <em>distribution function</em> (i.e. SSD) and <span class="math inline">\(qf\left(  \cdot  \right)\)</span> is a
-model-averaged <em>quantile function</em>. For this equality to hold, it
-is necessary that <span class="math inline">\(qf\left( p \right) = d{f^{
-- 1}}\left( p \right)\)</span>.
+where
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>d</mi><mi>f</mi><mrow><mo stretchy="true" form="prefix">(</mo><mo>⋅</mo><mo stretchy="true" form="postfix">)</mo></mrow></mrow><annotation encoding="application/x-tex">df\left(  \cdot  \right)</annotation></semantics></math>
+is a model-averaged <em>distribution function</em> (i.e. SSD) and
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>q</mi><mi>f</mi><mrow><mo stretchy="true" form="prefix">(</mo><mo>⋅</mo><mo stretchy="true" form="postfix">)</mo></mrow></mrow><annotation encoding="application/x-tex">qf\left(  \cdot  \right)</annotation></semantics></math>
+is a model-averaged <em>quantile function</em>. For this equality to
+hold, it is necessary that
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>q</mi><mi>f</mi><mrow><mo stretchy="true" form="prefix">(</mo><mi>p</mi><mo stretchy="true" form="postfix">)</mo></mrow><mo>=</mo><mi>d</mi><msup><mi>f</mi><mrow><mo>−</mo><mn>1</mn></mrow></msup><mrow><mo stretchy="true" form="prefix">(</mo><mi>p</mi><mo stretchy="true" form="postfix">)</mo></mrow></mrow><annotation encoding="application/x-tex">qf\left( p \right) = d{f^{ - 1}}\left( p \right)</annotation></semantics></math>.
 </p>
-<br>So, in our example above, the green curve was taken to be <span class="math inline">\(qf\left( x \right)\)</span> and this was used to
-derive <span class="math inline">\({\varphi _x}\)</span> but the
-<em>fraction affected</em> <span class="math inline">\(\left\{ { =
-df\left( {{\varphi _x}} \right)} \right\}\)</span> at <span class="math inline">\({\varphi _x}\)</span> is computed using the red
-curve.
+<br>So, in our example above, the green curve was taken to be
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>q</mi><mi>f</mi><mrow><mo stretchy="true" form="prefix">(</mo><mi>x</mi><mo stretchy="true" form="postfix">)</mo></mrow></mrow><annotation encoding="application/x-tex">qf\left( x \right)</annotation></semantics></math>
+and this was used to derive
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><msub><mi>φ</mi><mi>x</mi></msub><annotation encoding="application/x-tex">{\varphi _x}</annotation></semantics></math>
+but the <em>fraction affected</em>
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mo stretchy="true" form="prefix">{</mo><mo>=</mo><mi>d</mi><mi>f</mi><mrow><mo stretchy="true" form="prefix">(</mo><msub><mi>φ</mi><mi>x</mi></msub><mo stretchy="true" form="postfix">)</mo></mrow><mo stretchy="true" form="postfix">}</mo></mrow><annotation encoding="application/x-tex">\left\{ { = df\left( {{\varphi _x}} \right)} \right\}</annotation></semantics></math>
+at
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><msub><mi>φ</mi><mi>x</mi></msub><annotation encoding="application/x-tex">{\varphi _x}</annotation></semantics></math>
+is computed using the red curve.
 <p>
 In <code>ssdtools</code> the following is a check that the inversion
 principle holds:
@@ -388,7 +392,7 @@ <h2 id="computing-a-model-averaged-hcx">Computing a model-averaged <em>HCx</em><
 below, the <em>HCx</em> is obtained from the MA-SSD (red curve) by
 following the → arrows while the fraction affected is obtained by
 following the ← arrows.</p>
-<p><img src="images/Figure2.jpg" style="width:100.0%" align="center"></p>
+<p><img src="images%2FFigure2.jpg" style="width:100.0%" align="center"></p>
 <p>
 Finally, we’ll briefly discuss how the <em>HCx</em> is computed in
 <code>R</code> using the same method as has been implemented in
@@ -398,30 +402,39 @@ <h2 id="computing-a-model-averaged-hcx">Computing a model-averaged <em>HCx</em><
 <h3 id="computing-the-hcx-in-rssdtools">Computing the <em>HCx</em> in
 <code>R</code>/<code>ssdtools</code><a class="anchor" aria-label="anchor" href="#computing-the-hcx-in-rssdtools"></a>
 </h3>
-Recall, our MA-SSD was given as <span class="math display">\[G\left( x
-\right) = \sum\limits_{i = 1}^k {{w_i}} {F_i}\left( x \right)\]</span>
+Recall, our MA-SSD was given as
+<math display="block" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>G</mi><mrow><mo stretchy="true" form="prefix">(</mo><mi>x</mi><mo stretchy="true" form="postfix">)</mo></mrow><mo>=</mo><munderover><mo>∑</mo><mrow><mi>i</mi><mo>=</mo><mn>1</mn></mrow><mi>k</mi></munderover><msub><mi>w</mi><mi>i</mi></msub><msub><mi>F</mi><mi>i</mi></msub><mrow><mo stretchy="true" form="prefix">(</mo><mi>x</mi><mo stretchy="true" form="postfix">)</mo></mrow></mrow><annotation encoding="application/x-tex">G\left( x \right) = \sum\limits_{i = 1}^k {{w_i}} {F_i}\left( x \right)</annotation></semantics></math>
 and an <em>HCx</em> is obtained from the MA-SSD by essentially working
-‘in reverse’ by starting at a value of <span class="math inline">\(x\)</span> on the <strong>vertical</strong> scale
-in the Figure above and following the → arrows and reading off the
-corresponding value on the horizontal scale.
+‘in reverse’ by starting at a value of
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>x</mi><annotation encoding="application/x-tex">x</annotation></semantics></math>
+on the <strong>vertical</strong> scale in the Figure above and following
+the → arrows and reading off the corresponding value on the horizontal
+scale.
 <p>
 Obviously, we need to be able to ‘codify’ this process in <code>R</code>
 (or any other computer language).<br>Mathematically this is equivalent
-to seeking a solution to the following equation:<span class="math display">\[{x:G\left( x \right) = p}\]</span> or,
-equivalently:<span class="math display">\[x:G\left( x \right) - p =
-0\]</span> for some fraction affected, <span class="math inline">\(p\)</span>.
+to seeking a solution to the following
+equation:<math display="block" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>x</mi><mo>:</mo><mi>G</mi><mrow><mo stretchy="true" form="prefix">(</mo><mi>x</mi><mo stretchy="true" form="postfix">)</mo></mrow><mo>=</mo><mi>p</mi></mrow><annotation encoding="application/x-tex">{x:G\left( x \right) = p}</annotation></semantics></math>
+or,
+equivalently:<math display="block" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>x</mi><mo>:</mo><mi>G</mi><mrow><mo stretchy="true" form="prefix">(</mo><mi>x</mi><mo stretchy="true" form="postfix">)</mo></mrow><mo>−</mo><mi>p</mi><mo>=</mo><mn>0</mn></mrow><annotation encoding="application/x-tex">x:G\left( x \right) - p = 0</annotation></semantics></math>
+for some fraction affected,
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>p</mi><annotation encoding="application/x-tex">p</annotation></semantics></math>.
 </p>
 <p>
 </p>
 <p>Finding the solution to this last equation is referred to as
-<em>finding the root(s)</em> of the function <span class="math inline">\(G\left( x \right)\)</span> or, as is made clear in
-the figure below, <em>finding the zero-crossing</em> of the function
-<span class="math inline">\(G\left( x \right)\)</span> for the case
-<span class="math inline">\(p=0.2\)</span>.</p>
-<p><img src="images/uniroot.jpg" style="width:100.0%" align="center"></p>
+<em>finding the root(s)</em> of the function
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>G</mi><mrow><mo stretchy="true" form="prefix">(</mo><mi>x</mi><mo stretchy="true" form="postfix">)</mo></mrow></mrow><annotation encoding="application/x-tex">G\left( x \right)</annotation></semantics></math>
+or, as is made clear in the figure below, <em>finding the
+zero-crossing</em> of the function
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>G</mi><mrow><mo stretchy="true" form="prefix">(</mo><mi>x</mi><mo stretchy="true" form="postfix">)</mo></mrow></mrow><annotation encoding="application/x-tex">G\left( x \right)</annotation></semantics></math>
+for the case
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>p</mi><mo>=</mo><mn>0.2</mn></mrow><annotation encoding="application/x-tex">p=0.2</annotation></semantics></math>.</p>
+<p><img src="images%2Funiroot.jpg" style="width:100.0%" align="center"></p>
 <br><p>
-In <code>R</code> finding the roots of <span class="math inline">\(x:G\left( x \right) - p = 0\)</span> is achieved
-using the <code><a href="https://rdrr.io/r/stats/uniroot.html" class="external-link">uniroot()</a></code> function.
+In <code>R</code> finding the roots of
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>x</mi><mo>:</mo><mi>G</mi><mrow><mo stretchy="true" form="prefix">(</mo><mi>x</mi><mo stretchy="true" form="postfix">)</mo></mrow><mo>−</mo><mi>p</mi><mo>=</mo><mn>0</mn></mrow><annotation encoding="application/x-tex">x:G\left( x \right) - p = 0</annotation></semantics></math>
+is achieved using the <code><a href="https://rdrr.io/r/stats/uniroot.html" class="external-link">uniroot()</a></code> function.
 </p>
 <p>Help on the <code>uniroot</code> function can be found <a href="https://stat.ethz.ch/R-manual/R-devel/library/stats/html/uniroot.html" class="external-link">here</a></p>
 </div>
@@ -450,18 +463,18 @@ <h2 id="where-do-the-model-averaged-weights-come-from">Where do the model-averag
 using the <code><a href="https://rdrr.io/pkg/goftest/man/cvm.test.html" class="external-link">cvm.test()</a></code> function in the <code>goftest</code>
 package in <code>R</code> as follows:</p>
 <div class="sourceCode" id="cb5"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span><span class="va">dat</span><span class="op">&lt;-</span><span class="fu"><a href="https://rdrr.io/r/base/data.frame.html" class="external-link">data.frame</a></span><span class="op">(</span>Conc<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">1.73</span>,<span class="fl">0.57</span>,<span class="fl">0.33</span>,<span class="fl">0.28</span>,<span class="fl">0.3</span>,<span class="fl">0.29</span>,<span class="fl">2.15</span>,<span class="fl">0.8</span>,<span class="fl">0.76</span>,<span class="fl">0.54</span>,<span class="fl">0.42</span>,<span class="fl">0.83</span>,<span class="fl">0.21</span>,<span class="fl">0.18</span>,<span class="fl">0.59</span><span class="op">)</span><span class="op">)</span></span>
+<code class="sourceCode R"><span><span class="va">dat</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/data.frame.html" class="external-link">data.frame</a></span><span class="op">(</span>Conc <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">1.73</span>, <span class="fl">0.57</span>, <span class="fl">0.33</span>, <span class="fl">0.28</span>, <span class="fl">0.3</span>, <span class="fl">0.29</span>, <span class="fl">2.15</span>, <span class="fl">0.8</span>, <span class="fl">0.76</span>, <span class="fl">0.54</span>, <span class="fl">0.42</span>, <span class="fl">0.83</span>, <span class="fl">0.21</span>, <span class="fl">0.18</span>, <span class="fl">0.59</span><span class="op">)</span><span class="op">)</span></span>
 <span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://github.com/baddstats/goftest" class="external-link">goftest</a></span><span class="op">)</span></span>
-<span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://github.com/alexkowa/EnvStats" class="external-link">EnvStats</a></span><span class="op">)</span>  <span class="co"># this is required for the Pareto cdf (ppareto)</span></span>
+<span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://github.com/alexkowa/EnvStats" class="external-link">EnvStats</a></span><span class="op">)</span> <span class="co"># this is required for the Pareto cdf (ppareto)</span></span>
 <span></span>
 <span><span class="co"># Examine the fit for the gamma distribution (NB: parameters estimated from the data)</span></span>
-<span><span class="fu"><a href="https://rdrr.io/pkg/goftest/man/cvm.test.html" class="external-link">cvm.test</a></span><span class="op">(</span><span class="va">dat</span><span class="op">$</span><span class="va">Conc</span>,null <span class="op">=</span> <span class="st">"pgamma"</span>,shape <span class="op">=</span> <span class="fl">2.0591977</span>,scale <span class="op">=</span> <span class="fl">0.3231032</span>,estimated <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
+<span><span class="fu"><a href="https://rdrr.io/pkg/goftest/man/cvm.test.html" class="external-link">cvm.test</a></span><span class="op">(</span><span class="va">dat</span><span class="op">$</span><span class="va">Conc</span>, null <span class="op">=</span> <span class="st">"pgamma"</span>, shape <span class="op">=</span> <span class="fl">2.0591977</span>, scale <span class="op">=</span> <span class="fl">0.3231032</span>, estimated <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
 <span></span>
 <span><span class="co"># Examine the fit for the lognormal distribution (NB: parameters estimated from the data)</span></span>
-<span><span class="fu"><a href="https://rdrr.io/pkg/goftest/man/cvm.test.html" class="external-link">cvm.test</a></span><span class="op">(</span><span class="va">dat</span><span class="op">$</span><span class="va">Conc</span>,null <span class="op">=</span> <span class="st">"plnorm"</span>,meanlog<span class="op">=</span><span class="op">-</span><span class="fl">0.6695120</span>,sd<span class="op">=</span><span class="fl">0.7199573</span>,estimated <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
+<span><span class="fu"><a href="https://rdrr.io/pkg/goftest/man/cvm.test.html" class="external-link">cvm.test</a></span><span class="op">(</span><span class="va">dat</span><span class="op">$</span><span class="va">Conc</span>, null <span class="op">=</span> <span class="st">"plnorm"</span>, meanlog <span class="op">=</span> <span class="op">-</span><span class="fl">0.6695120</span>, sd <span class="op">=</span> <span class="fl">0.7199573</span>, estimated <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
 <span></span>
 <span><span class="co"># Examine the fit for the Pareto distribution (NB: parameters estimated from the data)</span></span>
-<span><span class="fu"><a href="https://rdrr.io/pkg/goftest/man/cvm.test.html" class="external-link">cvm.test</a></span><span class="op">(</span><span class="va">dat</span><span class="op">$</span><span class="va">Conc</span>,null <span class="op">=</span> <span class="st">"ppareto"</span>,location <span class="op">=</span> <span class="fl">0.1800000</span>,shape    <span class="op">=</span> <span class="fl">0.9566756</span>,estimated <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></code></pre></div>
+<span><span class="fu"><a href="https://rdrr.io/pkg/goftest/man/cvm.test.html" class="external-link">cvm.test</a></span><span class="op">(</span><span class="va">dat</span><span class="op">$</span><span class="va">Conc</span>, null <span class="op">=</span> <span class="st">"ppareto"</span>, location <span class="op">=</span> <span class="fl">0.1800000</span>, shape <span class="op">=</span> <span class="fl">0.9566756</span>, estimated <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></code></pre></div>
 <pre><code>    Cramer-von Mises test of goodness-of-fit
     Braun's adjustment using 4 groups
     Null hypothesis: Gamma distribution
@@ -490,16 +503,18 @@ <h2 id="where-do-the-model-averaged-weights-come-from">Where do the model-averag
 
 data:  dat$Conc
 omega2max = 0.31391, p-value = 0.4015</code></pre>
-<p>From this output and using a level of significance of <span class="math inline">\(p = 0.05\)</span>, we see that none of the
-distributions is implausible. However, if <em>forced</em> to choose just
-one distribution, we would choose the <em>Pareto</em> distribution
-(smaller values of the <code>omega2max</code> statistic are better).
-However, this does not mean that the gamma and lognormal distributions
-are of no value in describing the data. We can see from the plot below,
-that in fact both the gamma and lognormal distributions do a reasonable
-job over the range of toxicity values. The use of the Pareto may be a
-questionable choice given it is truncated at 0.18 (which is the minimum
-value of our toxicity data). <br></p>
+<p>From this output and using a level of significance of
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>p</mi><mo>=</mo><mn>0.05</mn></mrow><annotation encoding="application/x-tex">p = 0.05</annotation></semantics></math>,
+we see that none of the distributions is implausible. However, if
+<em>forced</em> to choose just one distribution, we would choose the
+<em>Pareto</em> distribution (smaller values of the
+<code>omega2max</code> statistic are better). However, this does not
+mean that the gamma and lognormal distributions are of no value in
+describing the data. We can see from the plot below, that in fact both
+the gamma and lognormal distributions do a reasonable job over the range
+of toxicity values. The use of the Pareto may be a questionable choice
+given it is truncated at 0.18 (which is the minimum value of our
+toxicity data). <br></p>
 <div class="figure">
 <img src="model-averaging_files/figure-html/unnamed-chunk-13-1.png" alt="Emprirical cdf (black); lognormal (green); gamma (blue); and Pareeto (red)" width="672"><p class="caption">
 Emprirical cdf (black); lognormal (green); gamma (blue); and Pareeto
@@ -516,19 +531,22 @@ <h2 id="where-do-the-model-averaged-weights-come-from">Where do the model-averag
 computed from the value of the relevant <em>test statistic</em> - in
 this case, the value of the <code>omega2max</code> test statistic. For
 this particular test, it’s a case of the <u>smaller</u> the better. From
-the output above we see that the <code>omega2max</code> values are <span class="math inline">\(0.344\)</span> for the gamma distribution, <span class="math inline">\(0.328\)</span> for the lognormal distribution, and
-<span class="math inline">\(0.314\)</span> for the Pareto distribution.
+the output above we see that the <code>omega2max</code> values are
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mn>0.344</mn><annotation encoding="application/x-tex">0.344</annotation></semantics></math>
+for the gamma distribution,
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mn>0.328</mn><annotation encoding="application/x-tex">0.328</annotation></semantics></math>
+for the lognormal distribution, and
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mn>0.314</mn><annotation encoding="application/x-tex">0.314</annotation></semantics></math>
+for the Pareto distribution.
 </p>
 <p>
-We might somewhat naively compute the relative weights as:<br><span class="math inline">\({w_1} = \frac{{{{0.344}^{ - 1}}}}{{\left(
-{{{0.344}^{ - 1}} + {{0.328}^{ - 1}} + {{0.314}^{ - 1}}} \right)}} =
-0.318\)</span>         <span class="math inline">\({w_2} =
-\frac{{{{0.328}^{ - 1}}}}{{\left( {{{0.344}^{ - 1}} + {{0.328}^{ - 1}} +
-{{0.314}^{ - 1}}} \right)}} = 0.333\)</span>     and <span class="math inline">\({w_3} = \frac{{{{0.314}^{ - 1}}}}{{\left(
-{{{0.344}^{ - 1}} + {{0.328}^{ - 1}} + {{0.314}^{ - 1}}} \right)}} =
-0.349\)</span> <br>    (we use <em>reciprocals</em> since smaller values
-of <code>omega2max</code> represent better fits). As will be seen
-shortly - these are incorrect.
+We might somewhat naively compute the relative weights as:<br><math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><msub><mi>w</mi><mn>1</mn></msub><mo>=</mo><mfrac><msup><mn>0.344</mn><mrow><mo>−</mo><mn>1</mn></mrow></msup><mrow><mo stretchy="true" form="prefix">(</mo><msup><mn>0.344</mn><mrow><mo>−</mo><mn>1</mn></mrow></msup><mo>+</mo><msup><mn>0.328</mn><mrow><mo>−</mo><mn>1</mn></mrow></msup><mo>+</mo><msup><mn>0.314</mn><mrow><mo>−</mo><mn>1</mn></mrow></msup><mo stretchy="true" form="postfix">)</mo></mrow></mfrac><mo>=</mo><mn>0.318</mn></mrow><annotation encoding="application/x-tex">{w_1} = \frac{{{{0.344}^{ - 1}}}}{{\left( {{{0.344}^{ - 1}} + {{0.328}^{ - 1}} + {{0.314}^{ - 1}}} \right)}} = 0.318</annotation></semantics></math>
+       
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><msub><mi>w</mi><mn>2</mn></msub><mo>=</mo><mfrac><msup><mn>0.328</mn><mrow><mo>−</mo><mn>1</mn></mrow></msup><mrow><mo stretchy="true" form="prefix">(</mo><msup><mn>0.344</mn><mrow><mo>−</mo><mn>1</mn></mrow></msup><mo>+</mo><msup><mn>0.328</mn><mrow><mo>−</mo><mn>1</mn></mrow></msup><mo>+</mo><msup><mn>0.314</mn><mrow><mo>−</mo><mn>1</mn></mrow></msup><mo stretchy="true" form="postfix">)</mo></mrow></mfrac><mo>=</mo><mn>0.333</mn></mrow><annotation encoding="application/x-tex">{w_2} = \frac{{{{0.328}^{ - 1}}}}{{\left( {{{0.344}^{ - 1}} + {{0.328}^{ - 1}} + {{0.314}^{ - 1}}} \right)}} = 0.333</annotation></semantics></math>
+    and
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><msub><mi>w</mi><mn>3</mn></msub><mo>=</mo><mfrac><msup><mn>0.314</mn><mrow><mo>−</mo><mn>1</mn></mrow></msup><mrow><mo stretchy="true" form="prefix">(</mo><msup><mn>0.344</mn><mrow><mo>−</mo><mn>1</mn></mrow></msup><mo>+</mo><msup><mn>0.328</mn><mrow><mo>−</mo><mn>1</mn></mrow></msup><mo>+</mo><msup><mn>0.314</mn><mrow><mo>−</mo><mn>1</mn></mrow></msup><mo stretchy="true" form="postfix">)</mo></mrow></mfrac><mo>=</mo><mn>0.349</mn></mrow><annotation encoding="application/x-tex">{w_3} = \frac{{{{0.314}^{ - 1}}}}{{\left( {{{0.344}^{ - 1}} + {{0.328}^{ - 1}} + {{0.314}^{ - 1}}} \right)}} = 0.349</annotation></semantics></math><br>    (we use <em>reciprocals</em> since smaller values of
+<code>omega2max</code> represent better fits). As will be seen shortly -
+these are incorrect.
 </p>
 <p>
 However, being based on a simplistic measure of discrepancy between the
@@ -543,10 +561,15 @@ <h2 id="where-do-the-model-averaged-weights-come-from">Where do the model-averag
 Anderson 2002)</span>. A commonly used metric to determine the
 model-average weights is the <strong>Akaike Information
 Criterion</strong> or <a href="https://en.wikipedia.org/wiki/Akaike_information_criterion" class="external-link">AIC</a>.
-The formula for the <span class="math inline">\(AIC\)</span> is: <span class="math display">\[AIC = 2k - 2\ln \left( \ell  \right)\]</span></p>
-where <span class="math inline">\(k\)</span> is the number of model
-parameters and <span class="math inline">\(\ell\)</span> is the
-<em>likelihood</em> for that model. Again, a full discussion of
+The formula for the
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>A</mi><mi>I</mi><mi>C</mi></mrow><annotation encoding="application/x-tex">AIC</annotation></semantics></math>
+is:
+<math display="block" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>A</mi><mi>I</mi><mi>C</mi><mo>=</mo><mn>2</mn><mi>k</mi><mo>−</mo><mn>2</mn><mo>ln</mo><mrow><mo stretchy="true" form="prefix">(</mo><mo>ℓ</mo><mo stretchy="true" form="postfix">)</mo></mrow></mrow><annotation encoding="application/x-tex">AIC = 2k - 2\ln \left( \ell  \right)</annotation></semantics></math></p>
+where
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>k</mi><annotation encoding="application/x-tex">k</annotation></semantics></math>
+is the number of model parameters and
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mo>ℓ</mo><annotation encoding="application/x-tex">\ell</annotation></semantics></math>
+is the <em>likelihood</em> for that model. Again, a full discussion of
 statistical likelihood is beyond the present scope. A relatively gentle
 introduction can be found <a href="https://ep-news.web.cern.ch/what-likelihood-function-and-how-it-used-particle-physics" class="external-link">here</a>.
 <p>
@@ -554,11 +577,11 @@ <h2 id="where-do-the-model-averaged-weights-come-from">Where do the model-averag
 <p>The likelihood for our three distributions can be computed in
 <code>R</code> as follows:</p>
 <div class="sourceCode" id="cb7"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/base/sum.html" class="external-link">sum</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/Log.html" class="external-link">log</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/stats/GammaDist.html" class="external-link">dgamma</a></span><span class="op">(</span><span class="va">dat</span><span class="op">$</span><span class="va">Conc</span>,shape <span class="op">=</span> <span class="fl">2.0591977</span>,scale <span class="op">=</span> <span class="fl">0.3231032</span><span class="op">)</span><span class="op">)</span><span class="op">)</span> </span>
+<code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/base/sum.html" class="external-link">sum</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/Log.html" class="external-link">log</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/stats/GammaDist.html" class="external-link">dgamma</a></span><span class="op">(</span><span class="va">dat</span><span class="op">$</span><span class="va">Conc</span>, shape <span class="op">=</span> <span class="fl">2.0591977</span>, scale <span class="op">=</span> <span class="fl">0.3231032</span><span class="op">)</span><span class="op">)</span><span class="op">)</span></span>
 <span><span class="co">#&gt; [1] -7.020597</span></span>
-<span><span class="fu"><a href="https://rdrr.io/r/base/sum.html" class="external-link">sum</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/Log.html" class="external-link">log</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/stats/Lognormal.html" class="external-link">dlnorm</a></span><span class="op">(</span><span class="va">dat</span><span class="op">$</span><span class="va">Conc</span>, meanlog <span class="op">=</span> <span class="op">-</span><span class="fl">0.6695120</span>,sdlog   <span class="op">=</span>  <span class="fl">0.7199573</span><span class="op">)</span><span class="op">)</span><span class="op">)</span> </span>
+<span><span class="fu"><a href="https://rdrr.io/r/base/sum.html" class="external-link">sum</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/Log.html" class="external-link">log</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/stats/Lognormal.html" class="external-link">dlnorm</a></span><span class="op">(</span><span class="va">dat</span><span class="op">$</span><span class="va">Conc</span>, meanlog <span class="op">=</span> <span class="op">-</span><span class="fl">0.6695120</span>, sdlog <span class="op">=</span> <span class="fl">0.7199573</span><span class="op">)</span><span class="op">)</span><span class="op">)</span></span>
 <span><span class="co">#&gt; [1] -5.812947</span></span>
-<span><span class="fu"><a href="https://rdrr.io/r/base/sum.html" class="external-link">sum</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/Log.html" class="external-link">log</a></span><span class="op">(</span><span class="fu">EnvStats</span><span class="fu">::</span><span class="fu"><a href="https://rdrr.io/pkg/EnvStats/man/Pareto.html" class="external-link">dpareto</a></span><span class="op">(</span><span class="va">dat</span><span class="op">$</span><span class="va">Conc</span>,location <span class="op">=</span> <span class="fl">0.1800000</span>, shape<span class="op">=</span><span class="fl">0.9566756</span><span class="op">)</span><span class="op">)</span><span class="op">)</span> </span>
+<span><span class="fu"><a href="https://rdrr.io/r/base/sum.html" class="external-link">sum</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/Log.html" class="external-link">log</a></span><span class="op">(</span><span class="fu">EnvStats</span><span class="fu">::</span><span class="fu"><a href="https://alexkowa.github.io/EnvStats/reference/Pareto.html" class="external-link">dpareto</a></span><span class="op">(</span><span class="va">dat</span><span class="op">$</span><span class="va">Conc</span>, location <span class="op">=</span> <span class="fl">0.1800000</span>, shape <span class="op">=</span> <span class="fl">0.9566756</span><span class="op">)</span><span class="op">)</span><span class="op">)</span></span>
 <span><span class="co">#&gt; [1] -5.621683</span></span></code></pre></div>
 <p>From which the <em>AIC</em> values readily follow:</p>
 <pre><code><span><span class="co">#&gt; AIC for gamma distribution = 18.04119</span></span>
@@ -578,14 +601,22 @@ <h3 id="computing-model-weights-from-the-aic">Computing model weights from the <
 <p>We will simply provide a formula for computing the model weights from
 the <code>AIC</code> values. More detailed information can be found <a href="https://training.visionanalytix.com/ssd-model-averaging/" class="external-link">here</a>.</p>
 <p>The <em>AIC</em> for the <em>i<sup>th</sup></em> distribution fitted
-to the data is <span class="math display">\[AI{C_i} = 2{k_i} - 2\ln
-\left( {{L_i}} \right)  \]</span> where <span class="math inline">\({L_i}\)</span> is the <em>i<sup>th</sup>
-likelihood</em> and <span class="math inline">\({k_i}\)</span> is the
-<em>number of parameters</em> for the <em>i<sup>th</sup>
-distribution</em>. Next, we form the differences:<span class="math display">\[{\Delta _i} = AI{C_i} - AI{C_0}\]</span> where
-<span class="math inline">\(AI{C_0}\)</span> is the <em>AIC</em> for the
-<strong>best-fitting</strong> model (i.e.<span class="math inline">\(AI{C_0} = \mathop {\min }\limits_i \left\{
-{AI{C_i}} \right\}\)</span> ). The <em>model-averaged weights</em> <span class="math inline">\({w_i}\)</span> are then computed as:</p>
+to the data is
+<math display="block" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>A</mi><mi>I</mi><msub><mi>C</mi><mi>i</mi></msub><mo>=</mo><mn>2</mn><msub><mi>k</mi><mi>i</mi></msub><mo>−</mo><mn>2</mn><mo>ln</mo><mrow><mo stretchy="true" form="prefix">(</mo><msub><mi>L</mi><mi>i</mi></msub><mo stretchy="true" form="postfix">)</mo></mrow></mrow><annotation encoding="application/x-tex">AI{C_i} = 2{k_i} - 2\ln \left( {{L_i}} \right)  </annotation></semantics></math>
+where
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><msub><mi>L</mi><mi>i</mi></msub><annotation encoding="application/x-tex">{L_i}</annotation></semantics></math>
+is the <em>i<sup>th</sup> likelihood</em> and
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><msub><mi>k</mi><mi>i</mi></msub><annotation encoding="application/x-tex">{k_i}</annotation></semantics></math>
+is the <em>number of parameters</em> for the <em>i<sup>th</sup>
+distribution</em>. Next, we form the
+differences:<math display="block" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><msub><mi>Δ</mi><mi>i</mi></msub><mo>=</mo><mi>A</mi><mi>I</mi><msub><mi>C</mi><mi>i</mi></msub><mo>−</mo><mi>A</mi><mi>I</mi><msub><mi>C</mi><mn>0</mn></msub></mrow><annotation encoding="application/x-tex">{\Delta _i} = AI{C_i} - AI{C_0}</annotation></semantics></math>
+where
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>A</mi><mi>I</mi><msub><mi>C</mi><mn>0</mn></msub></mrow><annotation encoding="application/x-tex">AI{C_0}</annotation></semantics></math>
+is the <em>AIC</em> for the <strong>best-fitting</strong> model
+(i.e.<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>A</mi><mi>I</mi><msub><mi>C</mi><mn>0</mn></msub><mo>=</mo><munder><mo>min</mo><mi>i</mi></munder><mrow><mo stretchy="true" form="prefix">{</mo><mi>A</mi><mi>I</mi><msub><mi>C</mi><mi>i</mi></msub><mo stretchy="true" form="postfix">}</mo></mrow></mrow><annotation encoding="application/x-tex">AI{C_0} = \mathop {\min }\limits_i \left\{ {AI{C_i}} \right\}</annotation></semantics></math>
+). The <em>model-averaged weights</em>
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><msub><mi>w</mi><mi>i</mi></msub><annotation encoding="application/x-tex">{w_i}</annotation></semantics></math>
+are then computed as:</p>
 <div style="text-align: center;" font-size: color: class="box">
 <b><u>AIC Model averaging weights</u></b>\[{{w}_{i}}=\frac{\exp \left\{ -\frac{1}{2}{{\Delta }_{i}} \right\}}{\sum{\exp \left\{ -\frac{1}{2}{{\Delta }_{i}} \right\}}}\]
 </div>
@@ -595,24 +626,27 @@ <h3 id="computing-model-weights-from-the-aic">Computing model weights from the <
 distributions used in the previous example can be computed ‘manually’ in
 <code>R</code> as follows:</p>
 <div class="sourceCode" id="cb9"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span><span class="va">dat</span><span class="op">&lt;-</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">1.73</span>,<span class="fl">0.57</span>,<span class="fl">0.33</span>,<span class="fl">0.28</span>,<span class="fl">0.3</span>,<span class="fl">0.29</span>,<span class="fl">2.15</span>,<span class="fl">0.8</span>,<span class="fl">0.76</span>,<span class="fl">0.54</span>,<span class="fl">0.42</span>,<span class="fl">0.83</span>,<span class="fl">0.21</span>,<span class="fl">0.18</span>,<span class="fl">0.59</span><span class="op">)</span></span>
-<span><span class="va">aic</span><span class="op">&lt;-</span><span class="cn">NULL</span></span>
-<span><span class="va">k</span><span class="op">&lt;-</span><span class="fl">2</span>  <span class="co"># number of parameters for each of the distributions</span></span>
+<code class="sourceCode R"><span><span class="va">dat</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">1.73</span>, <span class="fl">0.57</span>, <span class="fl">0.33</span>, <span class="fl">0.28</span>, <span class="fl">0.3</span>, <span class="fl">0.29</span>, <span class="fl">2.15</span>, <span class="fl">0.8</span>, <span class="fl">0.76</span>, <span class="fl">0.54</span>, <span class="fl">0.42</span>, <span class="fl">0.83</span>, <span class="fl">0.21</span>, <span class="fl">0.18</span>, <span class="fl">0.59</span><span class="op">)</span></span>
+<span><span class="va">aic</span> <span class="op">&lt;-</span> <span class="cn">NULL</span></span>
+<span><span class="va">k</span> <span class="op">&lt;-</span> <span class="fl">2</span> <span class="co"># number of parameters for each of the distributions</span></span>
 <span></span>
 <span></span>
-<span><span class="va">aic</span><span class="op">[</span><span class="fl">1</span><span class="op">]</span><span class="op">&lt;-</span><span class="fl">2</span><span class="op">*</span><span class="va">k</span><span class="op">-</span><span class="fl">2</span><span class="op">*</span><span class="fu"><a href="https://rdrr.io/r/base/sum.html" class="external-link">sum</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/Log.html" class="external-link">log</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/stats/GammaDist.html" class="external-link">dgamma</a></span><span class="op">(</span><span class="va">dat</span>,shape <span class="op">=</span> <span class="fl">2.0591977</span>,scale <span class="op">=</span> <span class="fl">0.3231032</span><span class="op">)</span><span class="op">)</span><span class="op">)</span> <span class="co"># Gamma distribution</span></span>
+<span><span class="va">aic</span><span class="op">[</span><span class="fl">1</span><span class="op">]</span> <span class="op">&lt;-</span> <span class="fl">2</span> <span class="op">*</span> <span class="va">k</span> <span class="op">-</span> <span class="fl">2</span> <span class="op">*</span> <span class="fu"><a href="https://rdrr.io/r/base/sum.html" class="external-link">sum</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/Log.html" class="external-link">log</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/stats/GammaDist.html" class="external-link">dgamma</a></span><span class="op">(</span><span class="va">dat</span>, shape <span class="op">=</span> <span class="fl">2.0591977</span>, scale <span class="op">=</span> <span class="fl">0.3231032</span><span class="op">)</span><span class="op">)</span><span class="op">)</span> <span class="co"># Gamma distribution</span></span>
 <span></span>
-<span><span class="va">aic</span><span class="op">[</span><span class="fl">2</span><span class="op">]</span><span class="op">&lt;-</span><span class="fl">2</span><span class="op">*</span><span class="va">k</span><span class="op">-</span><span class="fl">2</span><span class="op">*</span><span class="fu"><a href="https://rdrr.io/r/base/sum.html" class="external-link">sum</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/Log.html" class="external-link">log</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/stats/Lognormal.html" class="external-link">dlnorm</a></span><span class="op">(</span><span class="va">dat</span>, meanlog <span class="op">=</span> <span class="op">-</span><span class="fl">0.6695120</span>,sdlog   <span class="op">=</span>  <span class="fl">0.7199573</span><span class="op">)</span><span class="op">)</span><span class="op">)</span>  <span class="co"># lognormal distribution</span></span>
+<span><span class="va">aic</span><span class="op">[</span><span class="fl">2</span><span class="op">]</span> <span class="op">&lt;-</span> <span class="fl">2</span> <span class="op">*</span> <span class="va">k</span> <span class="op">-</span> <span class="fl">2</span> <span class="op">*</span> <span class="fu"><a href="https://rdrr.io/r/base/sum.html" class="external-link">sum</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/Log.html" class="external-link">log</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/stats/Lognormal.html" class="external-link">dlnorm</a></span><span class="op">(</span><span class="va">dat</span>, meanlog <span class="op">=</span> <span class="op">-</span><span class="fl">0.6695120</span>, sdlog <span class="op">=</span> <span class="fl">0.7199573</span><span class="op">)</span><span class="op">)</span><span class="op">)</span> <span class="co"># lognormal distribution</span></span>
 <span></span>
-<span><span class="va">aic</span><span class="op">[</span><span class="fl">3</span><span class="op">]</span><span class="op">&lt;-</span><span class="fl">2</span><span class="op">*</span><span class="va">k</span><span class="op">-</span><span class="fl">2</span><span class="op">*</span><span class="fu"><a href="https://rdrr.io/r/base/sum.html" class="external-link">sum</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/Log.html" class="external-link">log</a></span><span class="op">(</span><span class="fu">EnvStats</span><span class="fu">::</span><span class="fu"><a href="https://rdrr.io/pkg/EnvStats/man/Pareto.html" class="external-link">dpareto</a></span><span class="op">(</span><span class="va">dat</span>,location <span class="op">=</span> <span class="fl">0.1800000</span>, shape<span class="op">=</span><span class="fl">0.9566756</span><span class="op">)</span><span class="op">)</span><span class="op">)</span> <span class="co"># Pareto distribution</span></span>
+<span><span class="va">aic</span><span class="op">[</span><span class="fl">3</span><span class="op">]</span> <span class="op">&lt;-</span> <span class="fl">2</span> <span class="op">*</span> <span class="va">k</span> <span class="op">-</span> <span class="fl">2</span> <span class="op">*</span> <span class="fu"><a href="https://rdrr.io/r/base/sum.html" class="external-link">sum</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/Log.html" class="external-link">log</a></span><span class="op">(</span><span class="fu">EnvStats</span><span class="fu">::</span><span class="fu"><a href="https://alexkowa.github.io/EnvStats/reference/Pareto.html" class="external-link">dpareto</a></span><span class="op">(</span><span class="va">dat</span>, location <span class="op">=</span> <span class="fl">0.1800000</span>, shape <span class="op">=</span> <span class="fl">0.9566756</span><span class="op">)</span><span class="op">)</span><span class="op">)</span> <span class="co"># Pareto distribution</span></span>
 <span></span>
-<span><span class="va">delta</span><span class="op">&lt;-</span><span class="va">aic</span><span class="op">-</span><span class="fu"><a href="https://rdrr.io/r/base/Extremes.html" class="external-link">min</a></span><span class="op">(</span><span class="va">aic</span><span class="op">)</span>  <span class="co">#  compute the delta values</span></span>
+<span><span class="va">delta</span> <span class="op">&lt;-</span> <span class="va">aic</span> <span class="op">-</span> <span class="fu"><a href="https://rdrr.io/r/base/Extremes.html" class="external-link">min</a></span><span class="op">(</span><span class="va">aic</span><span class="op">)</span> <span class="co">#  compute the delta values</span></span>
 <span></span>
-<span><span class="va">aic.w</span><span class="op">&lt;-</span><span class="fu"><a href="https://rdrr.io/r/base/Log.html" class="external-link">exp</a></span><span class="op">(</span><span class="op">-</span><span class="fl">0.5</span><span class="op">*</span><span class="va">delta</span><span class="op">)</span>; <span class="va">aic.w</span><span class="op">&lt;-</span><span class="fu"><a href="https://rdrr.io/r/base/Round.html" class="external-link">round</a></span><span class="op">(</span><span class="va">aic.w</span><span class="op">/</span><span class="fu"><a href="https://rdrr.io/r/base/sum.html" class="external-link">sum</a></span><span class="op">(</span><span class="va">aic.w</span><span class="op">)</span>,<span class="fl">4</span><span class="op">)</span></span>
+<span><span class="va">aic.w</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/Log.html" class="external-link">exp</a></span><span class="op">(</span><span class="op">-</span><span class="fl">0.5</span> <span class="op">*</span> <span class="va">delta</span><span class="op">)</span></span>
+<span><span class="va">aic.w</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/Round.html" class="external-link">round</a></span><span class="op">(</span><span class="va">aic.w</span> <span class="op">/</span> <span class="fu"><a href="https://rdrr.io/r/base/sum.html" class="external-link">sum</a></span><span class="op">(</span><span class="va">aic.w</span><span class="op">)</span>, <span class="fl">4</span><span class="op">)</span></span>
 <span></span>
-<span><span class="fu"><a href="https://rdrr.io/r/base/cat.html" class="external-link">cat</a></span><span class="op">(</span><span class="st">" AIC weight for gamma distribution ="</span>,<span class="va">aic.w</span><span class="op">[</span><span class="fl">1</span><span class="op">]</span>,<span class="st">"\n"</span>,</span>
-<span>    <span class="st">"AIC weight for lognormal distribution ="</span>,<span class="va">aic.w</span><span class="op">[</span><span class="fl">2</span><span class="op">]</span>,<span class="st">"\n"</span>,</span>
-<span>    <span class="st">"AIC weight for pareto distribution ="</span>,<span class="va">aic.w</span><span class="op">[</span><span class="fl">3</span><span class="op">]</span>,<span class="st">"\n"</span><span class="op">)</span></span></code></pre></div>
+<span><span class="fu"><a href="https://rdrr.io/r/base/cat.html" class="external-link">cat</a></span><span class="op">(</span></span>
+<span>  <span class="st">" AIC weight for gamma distribution ="</span>, <span class="va">aic.w</span><span class="op">[</span><span class="fl">1</span><span class="op">]</span>, <span class="st">"\n"</span>,</span>
+<span>  <span class="st">"AIC weight for lognormal distribution ="</span>, <span class="va">aic.w</span><span class="op">[</span><span class="fl">2</span><span class="op">]</span>, <span class="st">"\n"</span>,</span>
+<span>  <span class="st">"AIC weight for pareto distribution ="</span>, <span class="va">aic.w</span><span class="op">[</span><span class="fl">3</span><span class="op">]</span>, <span class="st">"\n"</span></span>
+<span><span class="op">)</span></span></code></pre></div>
 <pre><code> AIC weight for gamma distribution = 0.1191 
  AIC weight for lognormal distribution = 0.3985 
  AIC weight for pareto distribution = 0.4824 </code></pre>
@@ -631,22 +665,30 @@ <h3 id="correcting-for-distributions-having-differing-numbers-of-parameters">Cor
 parameters<a class="anchor" aria-label="anchor" href="#correcting-for-distributions-having-differing-numbers-of-parameters"></a>
 </h3>
 <p>In deriving the AIC, Akaike had to make certain, strong assumptions.
-In addition, the bias factor (the <span class="math inline">\(2k\)</span> term) was derived from theoretical
-considerations (such as mathematical <em>expectation</em>) that relate
-to <em>infinite</em> sample sizes. For small sample sizes, the AIC is
-likely to select models having too many parameters (i.e models which
-<em>over-fit</em>) In 1978, Sugiura proposed a modification to the AIC
-to address this problem, although it too relied on a number of
-assumptions. This ‘correction’ to the AIC for small samples (referred to
-as <span class="math inline">\(AI{{C}_{c}}\)</span>) is:</p>
+In addition, the bias factor (the
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mn>2</mn><mi>k</mi></mrow><annotation encoding="application/x-tex">2k</annotation></semantics></math>
+term) was derived from theoretical considerations (such as mathematical
+<em>expectation</em>) that relate to <em>infinite</em> sample sizes. For
+small sample sizes, the AIC is likely to select models having too many
+parameters (i.e models which <em>over-fit</em>) In 1978, Sugiura
+proposed a modification to the AIC to address this problem, although it
+too relied on a number of assumptions. This ‘correction’ to the AIC for
+small samples (referred to as
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>A</mi><mi>I</mi><msub><mi>C</mi><mi>c</mi></msub></mrow><annotation encoding="application/x-tex">AI{{C}_{c}}</annotation></semantics></math>)
+is:</p>
 <div style="text-align: center;" font-size: color: class="box">
 <b><u>Corrected Akaike Information Criterion (AICc)</u></b>\[AI{{C}_{c}}=AIC+\frac{2{{k}^{2}}+2k}{n-k-1}\]where <i>n</i> is the sample size and <i>k</i> is the number of parameters.
 </div>
-<p><br>It is clear from the formula for <span class="math inline">\(AI{{C}_{c}}\)</span> that for   <span class="math inline">\(n\gg k\)</span>,    <span class="math inline">\(AI{{C}_{c}}\simeq AIC\)</span>. The issue of
-sample size is ubiquitous in statistics, but even more so in
-ecotoxicology where logistical and practical limitations invariably mean
-we are dealing with (pathologically) small sample sizes. There are no
-hard and fast rules as to what constitutes an <em>appropriate</em>
+<p><br>It is clear from the formula for
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>A</mi><mi>I</mi><msub><mi>C</mi><mi>c</mi></msub></mrow><annotation encoding="application/x-tex">AI{{C}_{c}}</annotation></semantics></math>
+that for  
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>n</mi><mo>≫</mo><mi>k</mi></mrow><annotation encoding="application/x-tex">n\gg k</annotation></semantics></math>,
+  
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>A</mi><mi>I</mi><msub><mi>C</mi><mi>c</mi></msub><mo>≃</mo><mi>A</mi><mi>I</mi><mi>C</mi></mrow><annotation encoding="application/x-tex">AI{{C}_{c}}\simeq AIC</annotation></semantics></math>.
+The issue of sample size is ubiquitous in statistics, but even more so
+in ecotoxicology where logistical and practical limitations invariably
+mean we are dealing with (pathologically) small sample sizes. There are
+no hard and fast rules as to what constitutes an <em>appropriate</em>
 sample size for SSD modelling. However, Professor David Fox’s personal
 rule of thumb which works quite well is:</p>
 <div style="text-align: center;" font-size: color: class="box">
@@ -731,7 +773,7 @@ <h2 id="licensing">Licensing<a class="anchor" aria-label="anchor" href="#licensi
 <p>The code is released under the <a href="https://www.apache.org/licenses/LICENSE-2.0" class="external-link">Apache License
 2.0</a></p>
 </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside>
 </div>
 
@@ -742,15 +784,15 @@ <h2 id="licensing">Licensing<a class="anchor" aria-label="anchor" href="#licensi
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer>
 </div>
 
-  
 
-  
+
+
 
   </body>
 </html>
diff --git a/articles/ssdtools.html b/articles/ssdtools.html
index 055ecb57..b86713fd 100644
--- a/articles/ssdtools.html
+++ b/articles/ssdtools.html
@@ -5,7 +5,6 @@
 <meta charset="utf-8">
 <meta http-equiv="X-UA-Compatible" content="IE=edge">
 <meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
-<meta name="description" content="ssdtools">
 <title>Getting Started with ssdtools • ssdtools</title>
 <!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png">
 <link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png">
@@ -15,61 +14,41 @@
 <link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png">
 <script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
 <link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
-<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous">
-<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous">
-<!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Getting Started with ssdtools">
-<meta property="og:description" content="ssdtools">
-<meta property="og:image" content="/logo.png">
-<!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]-->
+<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet">
+<link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet">
+<script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Getting Started with ssdtools">
 </head>
 <body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
       <ul class="navbar-nav me-auto">
-<li class="active nav-item">
-  <a class="nav-link" href="../articles/ssdtools.html">Get started</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../articles/index.html">Articles</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
+<li class="active nav-item"><a class="nav-link" href="../articles/ssdtools.html">Get started</a></li>
+<li class="nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
       </ul>
-<form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off">
-</form>
-
-      <ul class="navbar-nav">
-<li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+<ul class="navbar-nav">
+<li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json">
+</form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul>
 </div>
 
-    
+
   </div>
 </nav><div class="container template-article">
 
@@ -82,9 +61,9 @@
                         <h4 data-toc-skip class="author">ssdtools
 Team</h4>
             
-            <h4 data-toc-skip class="date">2024-05-16</h4>
+            <h4 data-toc-skip class="date">2024-09-25</h4>
       
-      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/HEAD/vignettes/ssdtools.Rmd" class="external-link"><code>vignettes/ssdtools.Rmd</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/main/vignettes/ssdtools.Rmd" class="external-link"><code>vignettes/ssdtools.Rmd</code></a></small>
       <div class="d-none name"><code>ssdtools.Rmd</code></div>
     </div>
 
@@ -327,16 +306,16 @@ <h2 id="estimating-the-fit">Estimating the Fit<a class="anchor" aria-label="anch
 <span><span class="co">#&gt; <span style="color: #949494;"># A tibble: 99 × 11</span></span></span>
 <span><span class="co">#&gt;    dist    proportion   est    se    lcl   ucl    wt method  nboot pboot samples</span></span>
 <span><span class="co">#&gt;    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>        <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>  <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>   <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;I&lt;lis&gt;</span></span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 1</span> average       0.01 0.267 0.401 0.041<span style="text-decoration: underline;">8</span>  1.53     1 parame…  <span style="text-decoration: underline;">1</span>000 0.999 <span style="color: #949494;">&lt;dbl&gt;</span>  </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 2</span> average       0.02 0.531 0.517 0.110   2.03     1 parame…  <span style="text-decoration: underline;">1</span>000 0.999 <span style="color: #949494;">&lt;dbl&gt;</span>  </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 3</span> average       0.03 0.783 0.614 0.198   2.50     1 parame…  <span style="text-decoration: underline;">1</span>000 0.999 <span style="color: #949494;">&lt;dbl&gt;</span>  </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 4</span> average       0.04 1.02  0.700 0.300   2.90     1 parame…  <span style="text-decoration: underline;">1</span>000 0.999 <span style="color: #949494;">&lt;dbl&gt;</span>  </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 5</span> average       0.05 1.26  0.781 0.407   3.29     1 parame…  <span style="text-decoration: underline;">1</span>000 0.999 <span style="color: #949494;">&lt;dbl&gt;</span>  </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 6</span> average       0.06 1.48  0.859 0.520   3.72     1 parame…  <span style="text-decoration: underline;">1</span>000 0.999 <span style="color: #949494;">&lt;dbl&gt;</span>  </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 7</span> average       0.07 1.71  0.933 0.645   4.16     1 parame…  <span style="text-decoration: underline;">1</span>000 0.999 <span style="color: #949494;">&lt;dbl&gt;</span>  </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 8</span> average       0.08 1.93  1.01  0.768   4.58     1 parame…  <span style="text-decoration: underline;">1</span>000 0.999 <span style="color: #949494;">&lt;dbl&gt;</span>  </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 9</span> average       0.09 2.16  1.08  0.896   4.95     1 parame…  <span style="text-decoration: underline;">1</span>000 0.999 <span style="color: #949494;">&lt;dbl&gt;</span>  </span></span>
-<span><span class="co">#&gt; <span style="color: #BCBCBC;">10</span> average       0.1  2.38  1.15  1.03    5.39     1 parame…  <span style="text-decoration: underline;">1</span>000 0.999 <span style="color: #949494;">&lt;dbl&gt;</span>  </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 1</span> average       0.01 0.267 0.402 0.041<span style="text-decoration: underline;">9</span>  1.53     1 parame…  <span style="text-decoration: underline;">1</span>000     1 <span style="color: #949494;">&lt;dbl&gt;</span>  </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 2</span> average       0.02 0.531 0.518 0.110   2.03     1 parame…  <span style="text-decoration: underline;">1</span>000     1 <span style="color: #949494;">&lt;dbl&gt;</span>  </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 3</span> average       0.03 0.783 0.615 0.198   2.50     1 parame…  <span style="text-decoration: underline;">1</span>000     1 <span style="color: #949494;">&lt;dbl&gt;</span>  </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 4</span> average       0.04 1.02  0.701 0.300   2.89     1 parame…  <span style="text-decoration: underline;">1</span>000     1 <span style="color: #949494;">&lt;dbl&gt;</span>  </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 5</span> average       0.05 1.26  0.782 0.407   3.29     1 parame…  <span style="text-decoration: underline;">1</span>000     1 <span style="color: #949494;">&lt;dbl&gt;</span>  </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 6</span> average       0.06 1.48  0.859 0.520   3.72     1 parame…  <span style="text-decoration: underline;">1</span>000     1 <span style="color: #949494;">&lt;dbl&gt;</span>  </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 7</span> average       0.07 1.71  0.934 0.645   4.16     1 parame…  <span style="text-decoration: underline;">1</span>000     1 <span style="color: #949494;">&lt;dbl&gt;</span>  </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 8</span> average       0.08 1.93  1.01  0.769   4.58     1 parame…  <span style="text-decoration: underline;">1</span>000     1 <span style="color: #949494;">&lt;dbl&gt;</span>  </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;"> 9</span> average       0.09 2.16  1.08  0.896   4.95     1 parame…  <span style="text-decoration: underline;">1</span>000     1 <span style="color: #949494;">&lt;dbl&gt;</span>  </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;">10</span> average       0.1  2.38  1.15  1.03    5.33     1 parame…  <span style="text-decoration: underline;">1</span>000     1 <span style="color: #949494;">&lt;dbl&gt;</span>  </span></span>
 <span><span class="co">#&gt; <span style="color: #949494;"># ℹ 89 more rows</span></span></span></code></pre></div>
 <p>The data frame of the estimates can then be plotted together with the
 original data using the <code><a href="../reference/ssd_plot.html">ssd_plot()</a></code> function to summarize an
@@ -372,7 +351,7 @@ <h2 id="hazardprotection-concentrations">Hazard/Protection Concentrations<a clas
 protected at a given concentration using ssd_hp.</p>
 <div class="sourceCode" id="cb13"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/base/Random.html" class="external-link">set.seed</a></span><span class="op">(</span><span class="fl">99</span><span class="op">)</span></span>
-<span><span class="va">boron_hc5</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/ssd_hc.html">ssd_hc</a></span><span class="op">(</span><span class="va">fits</span>, proportion <span class="op">=</span>  <span class="fl">0.05</span>, ci <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
+<span><span class="va">boron_hc5</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/ssd_hc.html">ssd_hc</a></span><span class="op">(</span><span class="va">fits</span>, proportion <span class="op">=</span> <span class="fl">0.05</span>, ci <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
 <span><span class="fu"><a href="https://rdrr.io/r/base/print.html" class="external-link">print</a></span><span class="op">(</span><span class="va">boron_hc5</span><span class="op">)</span></span>
 <span><span class="co">#&gt; <span style="color: #949494;"># A tibble: 1 × 11</span></span></span>
 <span><span class="co">#&gt;   dist    proportion   est    se   lcl   ucl    wt method    nboot pboot samples</span></span>
@@ -393,11 +372,11 @@ <h3 id="censored-data">Censored Data<a class="anchor" aria-label="anchor" href="
 argument then the data are considered to be censored. Let’s make some
 example censored data.</p>
 <div class="sourceCode" id="cb14"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span><span class="va">example_dat</span> <span class="op">&lt;-</span> <span class="fu">ssddata</span><span class="fu">::</span><span class="va"><a href="https://rdrr.io/pkg/ssddata/man/ccme_boron.html" class="external-link">ccme_boron</a></span> <span class="op">|&gt;</span> </span>
-<span>  <span class="fu">dplyr</span><span class="fu">::</span><span class="fu"><a href="https://dplyr.tidyverse.org/reference/mutate.html" class="external-link">mutate</a></span><span class="op">(</span>left<span class="op">=</span><span class="va">Conc</span>, right<span class="op">=</span><span class="va">Conc</span><span class="op">)</span></span>
+<code class="sourceCode R"><span><span class="va">example_dat</span> <span class="op">&lt;-</span> <span class="fu">ssddata</span><span class="fu">::</span><span class="va"><a href="https://rdrr.io/pkg/ssddata/man/ccme_boron.html" class="external-link">ccme_boron</a></span> <span class="op">|&gt;</span></span>
+<span>  <span class="fu">dplyr</span><span class="fu">::</span><span class="fu"><a href="https://dplyr.tidyverse.org/reference/mutate.html" class="external-link">mutate</a></span><span class="op">(</span>left <span class="op">=</span> <span class="va">Conc</span>, right <span class="op">=</span> <span class="va">Conc</span><span class="op">)</span></span>
 <span></span>
-<span><span class="va">left_censored_example</span> <span class="op">&lt;-</span> <span class="va">example_dat</span> </span>
-<span><span class="va">left_censored_example</span><span class="op">$</span><span class="va">left</span><span class="op">[</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">3</span>,<span class="fl">6</span>,<span class="fl">8</span><span class="op">)</span><span class="op">]</span> <span class="op">&lt;-</span> <span class="cn">NA</span></span></code></pre></div>
+<span><span class="va">left_censored_example</span> <span class="op">&lt;-</span> <span class="va">example_dat</span></span>
+<span><span class="va">left_censored_example</span><span class="op">$</span><span class="va">left</span><span class="op">[</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">3</span>, <span class="fl">6</span>, <span class="fl">8</span><span class="op">)</span><span class="op">]</span> <span class="op">&lt;-</span> <span class="cn">NA</span></span></code></pre></div>
 <p>There are less goodness-of-fit statistics available for fits to
 censored data (currently just <code>AIC</code> and <code>BIC</code>).
 The <code>delta</code> values are calculated using AIC`.</p>
@@ -409,9 +388,10 @@ <h3 id="censored-data">Censored Data<a class="anchor" aria-label="anchor" href="
 two-parameter models. We can call only the default two parameter models
 using <code>ssd_dists_bcanz(n = 2)</code>.</p>
 <div class="sourceCode" id="cb15"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span><span class="va">left_censored_dists</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/ssd_fit_dists.html">ssd_fit_dists</a></span><span class="op">(</span><span class="va">left_censored_example</span>, </span>
-<span>                                     dists <span class="op">=</span> <span class="fu"><a href="../reference/ssd_dists_bcanz.html">ssd_dists_bcanz</a></span><span class="op">(</span>n <span class="op">=</span> <span class="fl">2</span><span class="op">)</span>,</span>
-<span>                                     left <span class="op">=</span> <span class="st">"left"</span>, right <span class="op">=</span> <span class="st">"right"</span><span class="op">)</span></span>
+<code class="sourceCode R"><span><span class="va">left_censored_dists</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/ssd_fit_dists.html">ssd_fit_dists</a></span><span class="op">(</span><span class="va">left_censored_example</span>,</span>
+<span>  dists <span class="op">=</span> <span class="fu"><a href="../reference/ssd_dists_bcanz.html">ssd_dists_bcanz</a></span><span class="op">(</span>n <span class="op">=</span> <span class="fl">2</span><span class="op">)</span>,</span>
+<span>  left <span class="op">=</span> <span class="st">"left"</span>, right <span class="op">=</span> <span class="st">"right"</span></span>
+<span><span class="op">)</span></span>
 <span><span class="fu"><a href="../reference/ssd_hc.html">ssd_hc</a></span><span class="op">(</span><span class="va">left_censored_dists</span>, average <span class="op">=</span> <span class="cn">FALSE</span><span class="op">)</span></span>
 <span><span class="co">#&gt; <span style="color: #949494;"># A tibble: 5 × 11</span></span></span>
 <span><span class="co">#&gt;   dist    proportion   est    se   lcl   ucl     wt method   nboot pboot samples</span></span>
@@ -441,6 +421,7 @@ <h3 id="censored-data">Censored Data<a class="anchor" aria-label="anchor" href="
 <div class="sourceCode" id="cb16"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/base/Random.html" class="external-link">set.seed</a></span><span class="op">(</span><span class="fl">99</span><span class="op">)</span></span>
 <span><span class="va">left_censored_pred</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/stats/predict.html" class="external-link">predict</a></span><span class="op">(</span><span class="va">left_censored_dists</span>, ci <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
+<span><span class="co">#&gt; Warning: Parametric CIs cannot be calculated for censored data.</span></span>
 <span></span>
 <span><span class="fu"><a href="../reference/ssd_plot.html">ssd_plot</a></span><span class="op">(</span><span class="va">left_censored_example</span>, <span class="va">left_censored_pred</span>,</span>
 <span>  left <span class="op">=</span> <span class="st">"left"</span>, right <span class="op">=</span> <span class="st">"right"</span>,</span>
@@ -450,12 +431,13 @@ <h3 id="censored-data">Censored Data<a class="anchor" aria-label="anchor" href="
 <p>Note that <code>ssdtools</code> doesn’t currently support right
 censored data:</p>
 <div class="sourceCode" id="cb17"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span><span class="va">right_censored_example</span> <span class="op">&lt;-</span> <span class="va">example_dat</span> </span>
-<span><span class="va">right_censored_example</span><span class="op">$</span><span class="va">right</span><span class="op">[</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">3</span>,<span class="fl">6</span>,<span class="fl">8</span><span class="op">)</span><span class="op">]</span> <span class="op">&lt;-</span> <span class="cn">NA</span></span>
-<span><span class="va">right_censored_dists</span> <span class="op">&lt;-</span> <span class="kw"><a href="https://rdrr.io/r/base/try.html" class="external-link">try</a></span><span class="op">(</span><span class="fu"><a href="../reference/ssd_fit_dists.html">ssd_fit_dists</a></span><span class="op">(</span><span class="va">right_censored_example</span>, </span>
-<span>                                          dists <span class="op">=</span> <span class="fu"><a href="../reference/ssd_dists_bcanz.html">ssd_dists_bcanz</a></span><span class="op">(</span>n <span class="op">=</span> <span class="fl">2</span><span class="op">)</span>,</span>
-<span>                                          left <span class="op">=</span> <span class="st">"left"</span>, right <span class="op">=</span> <span class="st">"right"</span><span class="op">)</span><span class="op">)</span></span>
-<span><span class="co">#&gt; Error in eval(expr, envir, enclos) : </span></span>
+<code class="sourceCode R"><span><span class="va">right_censored_example</span> <span class="op">&lt;-</span> <span class="va">example_dat</span></span>
+<span><span class="va">right_censored_example</span><span class="op">$</span><span class="va">right</span><span class="op">[</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">3</span>, <span class="fl">6</span>, <span class="fl">8</span><span class="op">)</span><span class="op">]</span> <span class="op">&lt;-</span> <span class="cn">NA</span></span>
+<span><span class="va">right_censored_dists</span> <span class="op">&lt;-</span> <span class="kw"><a href="https://rdrr.io/r/base/try.html" class="external-link">try</a></span><span class="op">(</span><span class="fu"><a href="../reference/ssd_fit_dists.html">ssd_fit_dists</a></span><span class="op">(</span><span class="va">right_censored_example</span>,</span>
+<span>  dists <span class="op">=</span> <span class="fu"><a href="../reference/ssd_dists_bcanz.html">ssd_dists_bcanz</a></span><span class="op">(</span>n <span class="op">=</span> <span class="fl">2</span><span class="op">)</span>,</span>
+<span>  left <span class="op">=</span> <span class="st">"left"</span>, right <span class="op">=</span> <span class="st">"right"</span></span>
+<span><span class="op">)</span><span class="op">)</span></span>
+<span><span class="co">#&gt; Error in eval(expr, envir) : </span></span>
 <span><span class="co">#&gt;   Distributions cannot currently be fitted to right censored data.</span></span></code></pre></div>
 </div>
 </div>
@@ -506,7 +488,7 @@ <h2 id="licensing">Licensing<a class="anchor" aria-label="anchor" href="#licensi
 <p>The code is released under the <a href="https://www.apache.org/licenses/LICENSE-2.0" class="external-link">Apache License
 2.0</a></p>
 </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside>
 </div>
 
@@ -517,15 +499,15 @@ <h2 id="licensing">Licensing<a class="anchor" aria-label="anchor" href="#licensi
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer>
 </div>
 
-  
 
-  
+
+
 
   </body>
 </html>
diff --git a/articles/ssdtools_files/figure-html/unnamed-chunk-12-1.png b/articles/ssdtools_files/figure-html/unnamed-chunk-12-1.png
index 3b1e6f2c..068ad642 100644
Binary files a/articles/ssdtools_files/figure-html/unnamed-chunk-12-1.png and b/articles/ssdtools_files/figure-html/unnamed-chunk-12-1.png differ
diff --git a/articles/ssdtools_files/figure-html/unnamed-chunk-16-1.png b/articles/ssdtools_files/figure-html/unnamed-chunk-16-1.png
index 875b0c5b..f64cb33a 100644
Binary files a/articles/ssdtools_files/figure-html/unnamed-chunk-16-1.png and b/articles/ssdtools_files/figure-html/unnamed-chunk-16-1.png differ
diff --git a/articles/ssdtools_files/figure-html/unnamed-chunk-8-1.png b/articles/ssdtools_files/figure-html/unnamed-chunk-8-1.png
index eea6a09b..72a6d401 100644
Binary files a/articles/ssdtools_files/figure-html/unnamed-chunk-8-1.png and b/articles/ssdtools_files/figure-html/unnamed-chunk-8-1.png differ
diff --git a/authors.html b/authors.html
index 4bd3429a..6314d1fa 100644
--- a/authors.html
+++ b/authors.html
@@ -1,47 +1,30 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Authors and Citation • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="apple-touch-icon-60x60.png"><script src="deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="Authors and Citation"><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Authors and Citation • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="apple-touch-icon-60x60.png"><script src="deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="deps/headroom-0.11.0/headroom.min.js"></script><script src="deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="deps/search-1.0.0/fuse.min.js"></script><script src="deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="Authors and Citation"><meta property="og:image" content="/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="articles/ssdtools.html">Get started</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="reference/index.html">Reference</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="articles/index.html">Articles</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="articles/ssdtools.html">Get started</a></li>
+<li class="nav-item"><a class="nav-link" href="reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-citation-authors">
 <div class="row">
@@ -49,27 +32,27 @@
       <img src="logo.png" class="logo" alt=""><h1>Authors and Citation</h1>
     </div>
 
-    <div class="section level2 citation">
+    <div class="section level2">
       <h2>Authors</h2>
-      
+
       <ul class="list-unstyled"><li>
           <p><strong><a href="https://github.com/joethorley" class="external-link">Joe Thorley</a></strong>. Author, maintainer. <a href="https://orcid.org/0000-0002-7683-4592" target="orcid.widget" aria-label="ORCID" class="external-link"><span class="fab fa-orcid orcid" aria-hidden="true"></span></a>
           </p>
         </li>
         <li>
-          <p><strong><a href="https://www.aims.gov.au/about/our-people/dr-rebecca-fisher" class="external-link">Rebecca Fisher</a></strong>. Author. 
+          <p><strong><a href="https://www.aims.gov.au/about/our-people/dr-rebecca-fisher" class="external-link">Rebecca Fisher</a></strong>. Author.
           </p>
         </li>
         <li>
-          <p><strong><a href="https://training.ecotox.science/who-we-are/" class="external-link">David Fox</a></strong>. Author. 
+          <p><strong><a href="https://training.ecotox.science/who-we-are/" class="external-link">David Fox</a></strong>. Author.
           </p>
         </li>
         <li>
-          <p><strong><a href="https://www.sfu.ca/stat-actsci/department/profiles/carl-schwarz.html" class="external-link">Carl Schwarz</a></strong>. Author. 
+          <p><strong><a href="https://www.sfu.ca/stat-actsci/department/profiles/carl-schwarz.html" class="external-link">Carl Schwarz</a></strong>. Author.
           </p>
         </li>
         <li>
-          <p><strong>Angeline Tillmanns</strong>. Contributor. 
+          <p><strong>Angeline Tillmanns</strong>. Contributor.
           </p>
         </li>
         <li>
@@ -77,39 +60,31 @@ <h2>Authors</h2>
           </p>
         </li>
         <li>
-          <p><strong>Kathleen McTavish</strong>. Contributor. 
-          </p>
-        </li>
-        <li>
-          <p><strong>Heather Thompson</strong>. Contributor. 
-          </p>
-        </li>
-        <li>
-          <p><strong>Doug Spry</strong>. Contributor. 
+          <p><strong>Kathleen McTavish</strong>. Contributor.
           </p>
         </li>
         <li>
-          <p><strong>Rick van Dam</strong>. Contributor. 
+          <p><strong>Heather Thompson</strong>. Contributor.
           </p>
         </li>
         <li>
-          <p><strong>Graham Batley</strong>. Contributor. 
+          <p><strong>Doug Spry</strong>. Contributor.
           </p>
         </li>
         <li>
-          <p><strong>Yulia Cuthbertson</strong>. Contributor. 
+          <p><strong>Rick van Dam</strong>. Contributor.
           </p>
         </li>
         <li>
-          <p><strong>Tony Bigwood</strong>. Contributor. 
+          <p><strong>Graham Batley</strong>. Contributor.
           </p>
         </li>
         <li>
-          <p><strong>Michael Antenucci</strong>. Contributor. 
+          <p><strong>Tony Bigwood</strong>. Contributor.
           </p>
         </li>
         <li>
-          <p><strong>Ali Azizishirazi</strong>. Contributor. 
+          <p><strong>Ali Azizishirazi</strong>. Contributor.
           </p>
         </li>
         <li>
@@ -121,60 +96,61 @@ <h2>Authors</h2>
           </p>
         </li>
         <li>
-          <p><strong>Stephanie Hazlitt</strong>. Contributor. 
+          <p><strong>Stephanie Hazlitt</strong>. Contributor.
           </p>
         </li>
         <li>
-          <p><strong>Hadley Wickham</strong>. Contributor. 
+          <p><strong>Hadley Wickham</strong>. Contributor.
           </p>
         </li>
         <li>
-          <p><strong>Sergio Ibarra Espinosa</strong>. Contributor. 
+          <p><strong>Sergio Ibarra Espinosa</strong>. Contributor.
           </p>
         </li>
         <li>
-          <p><strong>Andy Teucher</strong>. Contributor. 
+          <p><strong>Andy Teucher</strong>. Contributor.
           </p>
         </li>
         <li>
-          <p><strong>Emilie Doussantousse</strong>. Contributor. 
+          <p><strong>Emilie Doussantousse</strong>. Contributor.
           </p>
         </li>
         <li>
-          <p><strong>Nan-Hung Hsieh</strong>. Contributor. 
+          <p><strong>Nan-Hung Hsieh</strong>. Contributor.
           </p>
         </li>
         <li>
-          <p><strong><a href="https://www2.gov.bc.ca/" class="external-link">Province of British Columbia</a></strong>. Funder, copyright holder. 
+          <p><strong><a href="https://www2.gov.bc.ca/" class="external-link">Province of British Columbia</a></strong>. Funder, copyright holder.
           </p>
         </li>
         <li>
-          <p><strong><a href="https://www.canada.ca/en/environment-climate-change.html" class="external-link">Environment and Climate Change Canada</a></strong>. Funder, copyright holder. 
+          <p><strong><a href="https://www.canada.ca/en/environment-climate-change.html" class="external-link">Environment and Climate Change Canada</a></strong>. Funder, copyright holder.
           </p>
         </li>
         <li>
-          <p><strong><a href="https://www.dcceew.gov.au/" class="external-link">Australian Government Department of Climate Change, Energy, the Environment and Water</a></strong>. Funder, copyright holder. 
+          <p><strong><a href="https://www.dcceew.gov.au/" class="external-link">Australian Government Department of Climate Change, Energy, the Environment and Water</a></strong>. Funder, copyright holder.
           </p>
         </li>
       </ul></div>
 
-    <div class="section level2 citation">
+    <div class="section level2">
       <h2 id="citation">Citation</h2>
-      <p><small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/HEAD/DESCRIPTION" class="external-link"><code>DESCRIPTION</code></a></small></p>
+      <p><small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/main/DESCRIPTION" class="external-link"><code>DESCRIPTION</code></a></small></p>
 
       <p>Thorley J, Fisher R, Fox D, Schwarz C (2024).
 <em>ssdtools: Species Sensitivity Distributions</em>.
-R package version 1.0.6.9015, https://bcgov.github.io/ssdtools/, <a href="https://github.com/bcgov/ssdtools" class="external-link">https://github.com/bcgov/ssdtools</a>. 
+R package version 1.0.6.9018, https://bcgov.github.io/ssdtools/, <a href="https://github.com/bcgov/ssdtools" class="external-link">https://github.com/bcgov/ssdtools</a>.
 </p>
       <pre>@Manual{,
   title = {ssdtools: Species Sensitivity Distributions},
   author = {Joe Thorley and Rebecca Fisher and David Fox and Carl Schwarz},
   year = {2024},
-  note = {R package version 1.0.6.9015, https://bcgov.github.io/ssdtools/},
+  note = {R package version 1.0.6.9018, https://bcgov.github.io/ssdtools/},
   url = {https://github.com/bcgov/ssdtools},
 }</pre>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -183,14 +159,14 @@ <h2 id="citation">Citation</h2>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/deps/bootstrap-5.3.1/bootstrap.min.css b/deps/bootstrap-5.3.1/bootstrap.min.css
index d944a2a7..5d96aa0d 100644
--- a/deps/bootstrap-5.3.1/bootstrap.min.css
+++ b/deps/bootstrap-5.3.1/bootstrap.min.css
@@ -2,4 +2,4 @@
    * Bootstrap  v5.3.1 (https://getbootstrap.com/)
    * Copyright 2011-2023 The Bootstrap Authors
    * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)
-   */:root,[data-bs-theme="light"]{--bs-blue: #0d6efd;--bs-indigo: #6610f2;--bs-purple: #6f42c1;--bs-pink: #d63384;--bs-red: #dc3545;--bs-orange: #fd7e14;--bs-yellow: #ffc107;--bs-green: #198754;--bs-teal: #20c997;--bs-cyan: #0dcaf0;--bs-black: #000;--bs-white: #fff;--bs-gray: #6c757d;--bs-gray-dark: #343a40;--bs-gray-100: #f8f9fa;--bs-gray-200: #e9ecef;--bs-gray-300: #dee2e6;--bs-gray-400: #ced4da;--bs-gray-500: #adb5bd;--bs-gray-600: #6c757d;--bs-gray-700: #495057;--bs-gray-800: #343a40;--bs-gray-900: #212529;--bs-default: #dee2e6;--bs-primary: #0d6efd;--bs-secondary: #6c757d;--bs-success: #198754;--bs-info: #0dcaf0;--bs-warning: #ffc107;--bs-danger: #dc3545;--bs-light: #f8f9fa;--bs-dark: #212529;--bs-default-rgb: 222,226,230;--bs-primary-rgb: 13,110,253;--bs-secondary-rgb: 108,117,125;--bs-success-rgb: 25,135,84;--bs-info-rgb: 13,202,240;--bs-warning-rgb: 255,193,7;--bs-danger-rgb: 220,53,69;--bs-light-rgb: 248,249,250;--bs-dark-rgb: 33,37,41;--bs-primary-text-emphasis: #052c65;--bs-secondary-text-emphasis: #2b2f32;--bs-success-text-emphasis: #0a3622;--bs-info-text-emphasis: #055160;--bs-warning-text-emphasis: #664d03;--bs-danger-text-emphasis: #58151c;--bs-light-text-emphasis: #495057;--bs-dark-text-emphasis: #495057;--bs-primary-bg-subtle: #cfe2ff;--bs-secondary-bg-subtle: #e2e3e5;--bs-success-bg-subtle: #d1e7dd;--bs-info-bg-subtle: #cff4fc;--bs-warning-bg-subtle: #fff3cd;--bs-danger-bg-subtle: #f8d7da;--bs-light-bg-subtle: #fcfcfd;--bs-dark-bg-subtle: #ced4da;--bs-primary-border-subtle: #9ec5fe;--bs-secondary-border-subtle: #c4c8cb;--bs-success-border-subtle: #a3cfbb;--bs-info-border-subtle: #9eeaf9;--bs-warning-border-subtle: #ffe69c;--bs-danger-border-subtle: #f1aeb5;--bs-light-border-subtle: #e9ecef;--bs-dark-border-subtle: #adb5bd;--bs-white-rgb: 255,255,255;--bs-black-rgb: 0,0,0;--bs-font-sans-serif: system-ui, -apple-system, "Segoe UI", Roboto, "Helvetica Neue", "Noto Sans", "Liberation Sans", Arial, sans-serif, "Apple Color Emoji", "Segoe UI Emoji", "Segoe UI Symbol", "Noto Color Emoji";--bs-font-monospace: SFMono-Regular, Menlo, Monaco, Consolas, "Liberation Mono", "Courier New", monospace;--bs-gradient: linear-gradient(180deg, rgba(255,255,255,0.15), rgba(255,255,255,0));--bs-body-font-family: var(--bs-font-sans-serif);--bs-body-font-size:1rem;--bs-body-font-weight: 400;--bs-body-line-height: 1.5;--bs-body-color: #212529;--bs-body-color-rgb: 33,37,41;--bs-body-bg: #fff;--bs-body-bg-rgb: 255,255,255;--bs-emphasis-color: #000;--bs-emphasis-color-rgb: 0,0,0;--bs-secondary-color: rgba(33,37,41,0.75);--bs-secondary-color-rgb: 33,37,41;--bs-secondary-bg: #e9ecef;--bs-secondary-bg-rgb: 233,236,239;--bs-tertiary-color: rgba(33,37,41,0.5);--bs-tertiary-color-rgb: 33,37,41;--bs-tertiary-bg: #f8f9fa;--bs-tertiary-bg-rgb: 248,249,250;--bs-heading-color: inherit;--bs-link-color: #0d6efd;--bs-link-color-rgb: 13,110,253;--bs-link-decoration: underline;--bs-link-hover-color: #0a58ca;--bs-link-hover-color-rgb: 10,88,202;--bs-code-color: RGB(var(--bs-emphasis-color-rgb, 0, 0, 0));--bs-highlight-bg: #fff3cd;--bs-border-width: 1px;--bs-border-style: solid;--bs-border-color: #dee2e6;--bs-border-color-translucent: rgba(0,0,0,0.175);--bs-border-radius: .375rem;--bs-border-radius-sm: .25rem;--bs-border-radius-lg: .5rem;--bs-border-radius-xl: 1rem;--bs-border-radius-xxl: 2rem;--bs-border-radius-2xl: var(--bs-border-radius-xxl);--bs-border-radius-pill: 50rem;--bs-box-shadow: 0 0.5rem 1rem rgba(0,0,0,0.15);--bs-box-shadow-sm: 0 0.125rem 0.25rem rgba(0,0,0,0.075);--bs-box-shadow-lg: 0 1rem 3rem rgba(0,0,0,0.175);--bs-box-shadow-inset: inset 0 1px 2px rgba(0,0,0,0.075);--bs-focus-ring-width: .25rem;--bs-focus-ring-opacity: .25;--bs-focus-ring-color: rgba(13,110,253,0.25);--bs-form-valid-color: #198754;--bs-form-valid-border-color: #198754;--bs-form-invalid-color: #dc3545;--bs-form-invalid-border-color: #dc3545}[data-bs-theme="dark"]{color-scheme:dark;--bs-body-color: #dee2e6;--bs-body-color-rgb: 222,226,230;--bs-body-bg: #212529;--bs-body-bg-rgb: 33,37,41;--bs-emphasis-color: #fff;--bs-emphasis-color-rgb: 255,255,255;--bs-secondary-color: rgba(222,226,230,0.75);--bs-secondary-color-rgb: 222,226,230;--bs-secondary-bg: #343a40;--bs-secondary-bg-rgb: 52,58,64;--bs-tertiary-color: rgba(222,226,230,0.5);--bs-tertiary-color-rgb: 222,226,230;--bs-tertiary-bg: #2b3035;--bs-tertiary-bg-rgb: 43,48,53;--bs-primary-text-emphasis: #6ea8fe;--bs-secondary-text-emphasis: #a7acb1;--bs-success-text-emphasis: #75b798;--bs-info-text-emphasis: #6edff6;--bs-warning-text-emphasis: #ffda6a;--bs-danger-text-emphasis: #ea868f;--bs-light-text-emphasis: #f8f9fa;--bs-dark-text-emphasis: #dee2e6;--bs-primary-bg-subtle: #031633;--bs-secondary-bg-subtle: #161719;--bs-success-bg-subtle: #051b11;--bs-info-bg-subtle: #032830;--bs-warning-bg-subtle: #332701;--bs-danger-bg-subtle: #2c0b0e;--bs-light-bg-subtle: #343a40;--bs-dark-bg-subtle: #1a1d20;--bs-primary-border-subtle: #084298;--bs-secondary-border-subtle: #41464b;--bs-success-border-subtle: #0f5132;--bs-info-border-subtle: #087990;--bs-warning-border-subtle: #997404;--bs-danger-border-subtle: #842029;--bs-light-border-subtle: #495057;--bs-dark-border-subtle: #343a40;--bs-heading-color: inherit;--bs-link-color: #6ea8fe;--bs-link-hover-color: #8bb9fe;--bs-link-color-rgb: 110,168,254;--bs-link-hover-color-rgb: 139,185,254;--bs-code-color: RGB(var(--bs-emphasis-color-rgb, 0, 0, 0));--bs-border-color: #495057;--bs-border-color-translucent: rgba(255,255,255,0.15);--bs-form-valid-color: #75b798;--bs-form-valid-border-color: #75b798;--bs-form-invalid-color: #ea868f;--bs-form-invalid-border-color: #ea868f}*,*::before,*::after{box-sizing:border-box}@media (prefers-reduced-motion: no-preference){:root{scroll-behavior:smooth}}body{margin:0;font-family:var(--bs-body-font-family);font-size:var(--bs-body-font-size);font-weight:var(--bs-body-font-weight);line-height:var(--bs-body-line-height);color:var(--bs-body-color);text-align:var(--bs-body-text-align);background-color:var(--bs-body-bg);-webkit-text-size-adjust:100%;-webkit-tap-highlight-color:rgba(0,0,0,0)}hr{margin:1rem 0;color:inherit;border:0;border-top:var(--bs-border-width) solid;opacity:.25}h6,.h6,h5,.h5,h4,.h4,h3,.h3,h2,.h2,h1,.h1{margin-top:0;margin-bottom:.5rem;font-weight:500;line-height:1.2;color:var(--bs-heading-color)}h1,.h1{font-size:calc(1.375rem + 1.5vw)}@media (min-width: 1200px){h1,.h1{font-size:2.5rem}}h2,.h2{font-size:calc(1.325rem + .9vw)}@media (min-width: 1200px){h2,.h2{font-size:2rem}}h3,.h3{font-size:calc(1.3rem + .6vw)}@media (min-width: 1200px){h3,.h3{font-size:1.75rem}}h4,.h4{font-size:calc(1.275rem + .3vw)}@media (min-width: 1200px){h4,.h4{font-size:1.5rem}}h5,.h5{font-size:1.25rem}h6,.h6{font-size:1rem}p{margin-top:0;margin-bottom:1rem}abbr[title]{text-decoration:underline dotted;-webkit-text-decoration:underline dotted;-moz-text-decoration:underline dotted;-ms-text-decoration:underline dotted;-o-text-decoration:underline dotted;cursor:help;text-decoration-skip-ink:none}address{margin-bottom:1rem;font-style:normal;line-height:inherit}ol,ul{padding-left:2rem}ol,ul,dl{margin-top:0;margin-bottom:1rem}ol ol,ul ul,ol ul,ul ol{margin-bottom:0}dt{font-weight:700}dd{margin-bottom:.5rem;margin-left:0}blockquote{margin:0 0 1rem;padding:.625rem 1.25rem;border-left:.25rem solid #e9ecef}blockquote p:last-child,blockquote ul:last-child,blockquote ol:last-child{margin-bottom:0}b,strong{font-weight:bolder}small,.small{font-size:.875em}mark,.mark{padding:.1875em;background-color:var(--bs-highlight-bg)}sub,sup{position:relative;font-size:.75em;line-height:0;vertical-align:baseline}sub{bottom:-.25em}sup{top:-.5em}a{color:rgba(var(--bs-link-color-rgb), var(--bs-link-opacity, 1));text-decoration:underline;-webkit-text-decoration:underline;-moz-text-decoration:underline;-ms-text-decoration:underline;-o-text-decoration:underline}a:hover{--bs-link-color-rgb: var(--bs-link-hover-color-rgb)}a:not([href]):not([class]),a:not([href]):not([class]):hover{color:inherit;text-decoration:none}pre,code,kbd,samp{font-family:var(--bs-font-monospace);font-size:1em}pre{display:block;margin-top:0;margin-bottom:1rem;overflow:auto;font-size:.875em;color:RGB(var(--bs-emphasis-color-rgb, 0, 0, 0));background-color:RGBA(var(--bs-emphasis-color-rgb, 0, 0, 0), 0.04);padding:.5rem;border:1px solid var(--bs-border-color, #dee2e6);border-radius:.375rem}pre code{background-color:transparent;font-size:inherit;color:inherit;word-break:normal}code{font-size:.875em;color:var(--bs-code-color);background-color:RGBA(var(--bs-emphasis-color-rgb, 0, 0, 0), 0.04);border-radius:.375rem;padding:.125rem .25rem;word-wrap:break-word}a>code{color:inherit}kbd{padding:.1875rem .375rem;font-size:.875em;color:var(--bs-body-bg);background-color:var(--bs-body-color);border-radius:.25rem}kbd kbd{padding:0;font-size:1em}figure{margin:0 0 1rem}img,svg{vertical-align:middle}table{caption-side:bottom;border-collapse:collapse}caption{padding-top:.5rem;padding-bottom:.5rem;color:var(--bs-secondary-color);text-align:left}th{text-align:inherit;text-align:-webkit-match-parent}thead,tbody,tfoot,tr,td,th{border-color:inherit;border-style:solid;border-width:0}label{display:inline-block}button{border-radius:0}button:focus:not(:focus-visible){outline:0}input,button,select,optgroup,textarea{margin:0;font-family:inherit;font-size:inherit;line-height:inherit}button,select{text-transform:none}[role="button"]{cursor:pointer}select{word-wrap:normal}select:disabled{opacity:1}[list]:not([type="date"]):not([type="datetime-local"]):not([type="month"]):not([type="week"]):not([type="time"])::-webkit-calendar-picker-indicator{display:none !important}button,[type="button"],[type="reset"],[type="submit"]{-webkit-appearance:button}button:not(:disabled),[type="button"]:not(:disabled),[type="reset"]:not(:disabled),[type="submit"]:not(:disabled){cursor:pointer}::-moz-focus-inner{padding:0;border-style:none}textarea{resize:vertical}fieldset{min-width:0;padding:0;margin:0;border:0}legend{float:left;width:100%;padding:0;margin-bottom:.5rem;font-size:calc(1.275rem + .3vw);line-height:inherit}@media (min-width: 1200px){legend{font-size:1.5rem}}legend+*{clear:left}::-webkit-datetime-edit-fields-wrapper,::-webkit-datetime-edit-text,::-webkit-datetime-edit-minute,::-webkit-datetime-edit-hour-field,::-webkit-datetime-edit-day-field,::-webkit-datetime-edit-month-field,::-webkit-datetime-edit-year-field{padding:0}::-webkit-inner-spin-button{height:auto}[type="search"]{-webkit-appearance:textfield;outline-offset:-2px}::-webkit-search-decoration{-webkit-appearance:none}::-webkit-color-swatch-wrapper{padding:0}::file-selector-button{font:inherit;-webkit-appearance:button}output{display:inline-block}iframe{border:0}summary{display:list-item;cursor:pointer}progress{vertical-align:baseline}[hidden]{display:none !important}.lead{font-size:1.25rem;font-weight:300}.display-1{font-size:calc(1.625rem + 4.5vw);font-weight:300;line-height:1.2}@media (min-width: 1200px){.display-1{font-size:5rem}}.display-2{font-size:calc(1.575rem + 3.9vw);font-weight:300;line-height:1.2}@media (min-width: 1200px){.display-2{font-size:4.5rem}}.display-3{font-size:calc(1.525rem + 3.3vw);font-weight:300;line-height:1.2}@media (min-width: 1200px){.display-3{font-size:4rem}}.display-4{font-size:calc(1.475rem + 2.7vw);font-weight:300;line-height:1.2}@media (min-width: 1200px){.display-4{font-size:3.5rem}}.display-5{font-size:calc(1.425rem + 2.1vw);font-weight:300;line-height:1.2}@media (min-width: 1200px){.display-5{font-size:3rem}}.display-6{font-size:calc(1.375rem + 1.5vw);font-weight:300;line-height:1.2}@media (min-width: 1200px){.display-6{font-size:2.5rem}}.list-unstyled{padding-left:0;list-style:none}.list-inline{padding-left:0;list-style:none}.list-inline-item{display:inline-block}.list-inline-item:not(:last-child){margin-right:.5rem}.initialism{font-size:.875em;text-transform:uppercase}.blockquote{margin-bottom:1rem;font-size:1.25rem}.blockquote>:last-child{margin-bottom:0}.blockquote-footer{margin-top:-1rem;margin-bottom:1rem;font-size:.875em;color:#6c757d}.blockquote-footer::before{content:"\2014\00A0"}.img-fluid{max-width:100%;height:auto}.img-thumbnail{padding:.25rem;background-color:var(--bs-body-bg);border:var(--bs-border-width) solid var(--bs-border-color);border-radius:var(--bs-border-radius);max-width:100%;height:auto}.figure{display:inline-block}.figure-img{margin-bottom:.5rem;line-height:1}.figure-caption{font-size:.875em;color:var(--bs-secondary-color)}.container,.container-fluid,.container-xxl,.container-xl,.container-lg,.container-md,.container-sm{--bs-gutter-x: 1.5rem;--bs-gutter-y: 0;width:100%;padding-right:calc(var(--bs-gutter-x) * .5);padding-left:calc(var(--bs-gutter-x) * .5);margin-right:auto;margin-left:auto}@media (min-width: 576px){.container-sm,.container{max-width:540px}}@media (min-width: 768px){.container-md,.container-sm,.container{max-width:720px}}@media (min-width: 992px){.container-lg,.container-md,.container-sm,.container{max-width:960px}}@media (min-width: 1200px){.container-xl,.container-lg,.container-md,.container-sm,.container{max-width:1140px}}@media (min-width: 1400px){.container-xxl,.container-xl,.container-lg,.container-md,.container-sm,.container{max-width:1320px}}:root{--bs-breakpoint-xs: 0;--bs-breakpoint-sm: 576px;--bs-breakpoint-md: 768px;--bs-breakpoint-lg: 992px;--bs-breakpoint-xl: 1200px;--bs-breakpoint-xxl: 1400px}.row{--bs-gutter-x: 1.5rem;--bs-gutter-y: 0;display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;margin-top:calc(-1 * var(--bs-gutter-y));margin-right:calc(-.5 * var(--bs-gutter-x));margin-left:calc(-.5 * var(--bs-gutter-x))}.row>*{flex-shrink:0;-webkit-flex-shrink:0;width:100%;max-width:100%;padding-right:calc(var(--bs-gutter-x) * .5);padding-left:calc(var(--bs-gutter-x) * .5);margin-top:var(--bs-gutter-y)}.grid{display:grid;grid-template-rows:repeat(var(--bs-rows, 1), 1fr);grid-template-columns:repeat(var(--bs-columns, 12), 1fr);gap:var(--bs-gap, 1.5rem)}.grid .g-col-1{grid-column:auto/span 1}.grid .g-col-2{grid-column:auto/span 2}.grid .g-col-3{grid-column:auto/span 3}.grid .g-col-4{grid-column:auto/span 4}.grid .g-col-5{grid-column:auto/span 5}.grid .g-col-6{grid-column:auto/span 6}.grid .g-col-7{grid-column:auto/span 7}.grid .g-col-8{grid-column:auto/span 8}.grid .g-col-9{grid-column:auto/span 9}.grid .g-col-10{grid-column:auto/span 10}.grid .g-col-11{grid-column:auto/span 11}.grid .g-col-12{grid-column:auto/span 12}.grid .g-start-1{grid-column-start:1}.grid .g-start-2{grid-column-start:2}.grid .g-start-3{grid-column-start:3}.grid .g-start-4{grid-column-start:4}.grid .g-start-5{grid-column-start:5}.grid .g-start-6{grid-column-start:6}.grid .g-start-7{grid-column-start:7}.grid .g-start-8{grid-column-start:8}.grid .g-start-9{grid-column-start:9}.grid .g-start-10{grid-column-start:10}.grid .g-start-11{grid-column-start:11}@media (min-width: 576px){.grid .g-col-sm-1{grid-column:auto/span 1}.grid .g-col-sm-2{grid-column:auto/span 2}.grid .g-col-sm-3{grid-column:auto/span 3}.grid .g-col-sm-4{grid-column:auto/span 4}.grid .g-col-sm-5{grid-column:auto/span 5}.grid .g-col-sm-6{grid-column:auto/span 6}.grid .g-col-sm-7{grid-column:auto/span 7}.grid .g-col-sm-8{grid-column:auto/span 8}.grid .g-col-sm-9{grid-column:auto/span 9}.grid .g-col-sm-10{grid-column:auto/span 10}.grid .g-col-sm-11{grid-column:auto/span 11}.grid .g-col-sm-12{grid-column:auto/span 12}.grid .g-start-sm-1{grid-column-start:1}.grid .g-start-sm-2{grid-column-start:2}.grid .g-start-sm-3{grid-column-start:3}.grid .g-start-sm-4{grid-column-start:4}.grid .g-start-sm-5{grid-column-start:5}.grid .g-start-sm-6{grid-column-start:6}.grid .g-start-sm-7{grid-column-start:7}.grid .g-start-sm-8{grid-column-start:8}.grid .g-start-sm-9{grid-column-start:9}.grid .g-start-sm-10{grid-column-start:10}.grid .g-start-sm-11{grid-column-start:11}}@media (min-width: 768px){.grid .g-col-md-1{grid-column:auto/span 1}.grid .g-col-md-2{grid-column:auto/span 2}.grid .g-col-md-3{grid-column:auto/span 3}.grid .g-col-md-4{grid-column:auto/span 4}.grid .g-col-md-5{grid-column:auto/span 5}.grid .g-col-md-6{grid-column:auto/span 6}.grid .g-col-md-7{grid-column:auto/span 7}.grid .g-col-md-8{grid-column:auto/span 8}.grid .g-col-md-9{grid-column:auto/span 9}.grid .g-col-md-10{grid-column:auto/span 10}.grid .g-col-md-11{grid-column:auto/span 11}.grid .g-col-md-12{grid-column:auto/span 12}.grid .g-start-md-1{grid-column-start:1}.grid .g-start-md-2{grid-column-start:2}.grid .g-start-md-3{grid-column-start:3}.grid .g-start-md-4{grid-column-start:4}.grid .g-start-md-5{grid-column-start:5}.grid .g-start-md-6{grid-column-start:6}.grid .g-start-md-7{grid-column-start:7}.grid .g-start-md-8{grid-column-start:8}.grid .g-start-md-9{grid-column-start:9}.grid .g-start-md-10{grid-column-start:10}.grid .g-start-md-11{grid-column-start:11}}@media (min-width: 992px){.grid .g-col-lg-1{grid-column:auto/span 1}.grid .g-col-lg-2{grid-column:auto/span 2}.grid .g-col-lg-3{grid-column:auto/span 3}.grid .g-col-lg-4{grid-column:auto/span 4}.grid .g-col-lg-5{grid-column:auto/span 5}.grid .g-col-lg-6{grid-column:auto/span 6}.grid .g-col-lg-7{grid-column:auto/span 7}.grid .g-col-lg-8{grid-column:auto/span 8}.grid .g-col-lg-9{grid-column:auto/span 9}.grid .g-col-lg-10{grid-column:auto/span 10}.grid .g-col-lg-11{grid-column:auto/span 11}.grid .g-col-lg-12{grid-column:auto/span 12}.grid .g-start-lg-1{grid-column-start:1}.grid .g-start-lg-2{grid-column-start:2}.grid .g-start-lg-3{grid-column-start:3}.grid .g-start-lg-4{grid-column-start:4}.grid .g-start-lg-5{grid-column-start:5}.grid .g-start-lg-6{grid-column-start:6}.grid .g-start-lg-7{grid-column-start:7}.grid .g-start-lg-8{grid-column-start:8}.grid .g-start-lg-9{grid-column-start:9}.grid .g-start-lg-10{grid-column-start:10}.grid .g-start-lg-11{grid-column-start:11}}@media (min-width: 1200px){.grid .g-col-xl-1{grid-column:auto/span 1}.grid .g-col-xl-2{grid-column:auto/span 2}.grid .g-col-xl-3{grid-column:auto/span 3}.grid .g-col-xl-4{grid-column:auto/span 4}.grid .g-col-xl-5{grid-column:auto/span 5}.grid .g-col-xl-6{grid-column:auto/span 6}.grid .g-col-xl-7{grid-column:auto/span 7}.grid .g-col-xl-8{grid-column:auto/span 8}.grid .g-col-xl-9{grid-column:auto/span 9}.grid .g-col-xl-10{grid-column:auto/span 10}.grid .g-col-xl-11{grid-column:auto/span 11}.grid .g-col-xl-12{grid-column:auto/span 12}.grid .g-start-xl-1{grid-column-start:1}.grid .g-start-xl-2{grid-column-start:2}.grid .g-start-xl-3{grid-column-start:3}.grid .g-start-xl-4{grid-column-start:4}.grid .g-start-xl-5{grid-column-start:5}.grid .g-start-xl-6{grid-column-start:6}.grid .g-start-xl-7{grid-column-start:7}.grid .g-start-xl-8{grid-column-start:8}.grid .g-start-xl-9{grid-column-start:9}.grid .g-start-xl-10{grid-column-start:10}.grid .g-start-xl-11{grid-column-start:11}}@media (min-width: 1400px){.grid .g-col-xxl-1{grid-column:auto/span 1}.grid .g-col-xxl-2{grid-column:auto/span 2}.grid .g-col-xxl-3{grid-column:auto/span 3}.grid .g-col-xxl-4{grid-column:auto/span 4}.grid .g-col-xxl-5{grid-column:auto/span 5}.grid .g-col-xxl-6{grid-column:auto/span 6}.grid .g-col-xxl-7{grid-column:auto/span 7}.grid .g-col-xxl-8{grid-column:auto/span 8}.grid .g-col-xxl-9{grid-column:auto/span 9}.grid .g-col-xxl-10{grid-column:auto/span 10}.grid .g-col-xxl-11{grid-column:auto/span 11}.grid .g-col-xxl-12{grid-column:auto/span 12}.grid .g-start-xxl-1{grid-column-start:1}.grid .g-start-xxl-2{grid-column-start:2}.grid .g-start-xxl-3{grid-column-start:3}.grid .g-start-xxl-4{grid-column-start:4}.grid .g-start-xxl-5{grid-column-start:5}.grid .g-start-xxl-6{grid-column-start:6}.grid .g-start-xxl-7{grid-column-start:7}.grid .g-start-xxl-8{grid-column-start:8}.grid .g-start-xxl-9{grid-column-start:9}.grid .g-start-xxl-10{grid-column-start:10}.grid .g-start-xxl-11{grid-column-start:11}}.col{flex:1 0 0%;-webkit-flex:1 0 0%}.row-cols-auto>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:auto}.row-cols-1>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:100%}.row-cols-2>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:50%}.row-cols-3>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:33.33333%}.row-cols-4>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:25%}.row-cols-5>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:20%}.row-cols-6>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:16.66667%}.col-auto{flex:0 0 auto;-webkit-flex:0 0 auto;width:auto}.col-1{flex:0 0 auto;-webkit-flex:0 0 auto;width:8.33333%}.col-2{flex:0 0 auto;-webkit-flex:0 0 auto;width:16.66667%}.col-3{flex:0 0 auto;-webkit-flex:0 0 auto;width:25%}.col-4{flex:0 0 auto;-webkit-flex:0 0 auto;width:33.33333%}.col-5{flex:0 0 auto;-webkit-flex:0 0 auto;width:41.66667%}.col-6{flex:0 0 auto;-webkit-flex:0 0 auto;width:50%}.col-7{flex:0 0 auto;-webkit-flex:0 0 auto;width:58.33333%}.col-8{flex:0 0 auto;-webkit-flex:0 0 auto;width:66.66667%}.col-9{flex:0 0 auto;-webkit-flex:0 0 auto;width:75%}.col-10{flex:0 0 auto;-webkit-flex:0 0 auto;width:83.33333%}.col-11{flex:0 0 auto;-webkit-flex:0 0 auto;width:91.66667%}.col-12{flex:0 0 auto;-webkit-flex:0 0 auto;width:100%}.offset-1{margin-left:8.33333%}.offset-2{margin-left:16.66667%}.offset-3{margin-left:25%}.offset-4{margin-left:33.33333%}.offset-5{margin-left:41.66667%}.offset-6{margin-left:50%}.offset-7{margin-left:58.33333%}.offset-8{margin-left:66.66667%}.offset-9{margin-left:75%}.offset-10{margin-left:83.33333%}.offset-11{margin-left:91.66667%}.g-0,.gx-0{--bs-gutter-x: 0}.g-0,.gy-0{--bs-gutter-y: 0}.g-1,.gx-1{--bs-gutter-x: .25rem}.g-1,.gy-1{--bs-gutter-y: .25rem}.g-2,.gx-2{--bs-gutter-x: .5rem}.g-2,.gy-2{--bs-gutter-y: .5rem}.g-3,.gx-3{--bs-gutter-x: 1rem}.g-3,.gy-3{--bs-gutter-y: 1rem}.g-4,.gx-4{--bs-gutter-x: 1.5rem}.g-4,.gy-4{--bs-gutter-y: 1.5rem}.g-5,.gx-5{--bs-gutter-x: 3rem}.g-5,.gy-5{--bs-gutter-y: 3rem}@media (min-width: 576px){.col-sm{flex:1 0 0%;-webkit-flex:1 0 0%}.row-cols-sm-auto>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:auto}.row-cols-sm-1>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:100%}.row-cols-sm-2>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:50%}.row-cols-sm-3>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:33.33333%}.row-cols-sm-4>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:25%}.row-cols-sm-5>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:20%}.row-cols-sm-6>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:16.66667%}.col-sm-auto{flex:0 0 auto;-webkit-flex:0 0 auto;width:auto}.col-sm-1{flex:0 0 auto;-webkit-flex:0 0 auto;width:8.33333%}.col-sm-2{flex:0 0 auto;-webkit-flex:0 0 auto;width:16.66667%}.col-sm-3{flex:0 0 auto;-webkit-flex:0 0 auto;width:25%}.col-sm-4{flex:0 0 auto;-webkit-flex:0 0 auto;width:33.33333%}.col-sm-5{flex:0 0 auto;-webkit-flex:0 0 auto;width:41.66667%}.col-sm-6{flex:0 0 auto;-webkit-flex:0 0 auto;width:50%}.col-sm-7{flex:0 0 auto;-webkit-flex:0 0 auto;width:58.33333%}.col-sm-8{flex:0 0 auto;-webkit-flex:0 0 auto;width:66.66667%}.col-sm-9{flex:0 0 auto;-webkit-flex:0 0 auto;width:75%}.col-sm-10{flex:0 0 auto;-webkit-flex:0 0 auto;width:83.33333%}.col-sm-11{flex:0 0 auto;-webkit-flex:0 0 auto;width:91.66667%}.col-sm-12{flex:0 0 auto;-webkit-flex:0 0 auto;width:100%}.offset-sm-0{margin-left:0}.offset-sm-1{margin-left:8.33333%}.offset-sm-2{margin-left:16.66667%}.offset-sm-3{margin-left:25%}.offset-sm-4{margin-left:33.33333%}.offset-sm-5{margin-left:41.66667%}.offset-sm-6{margin-left:50%}.offset-sm-7{margin-left:58.33333%}.offset-sm-8{margin-left:66.66667%}.offset-sm-9{margin-left:75%}.offset-sm-10{margin-left:83.33333%}.offset-sm-11{margin-left:91.66667%}.g-sm-0,.gx-sm-0{--bs-gutter-x: 0}.g-sm-0,.gy-sm-0{--bs-gutter-y: 0}.g-sm-1,.gx-sm-1{--bs-gutter-x: .25rem}.g-sm-1,.gy-sm-1{--bs-gutter-y: .25rem}.g-sm-2,.gx-sm-2{--bs-gutter-x: .5rem}.g-sm-2,.gy-sm-2{--bs-gutter-y: .5rem}.g-sm-3,.gx-sm-3{--bs-gutter-x: 1rem}.g-sm-3,.gy-sm-3{--bs-gutter-y: 1rem}.g-sm-4,.gx-sm-4{--bs-gutter-x: 1.5rem}.g-sm-4,.gy-sm-4{--bs-gutter-y: 1.5rem}.g-sm-5,.gx-sm-5{--bs-gutter-x: 3rem}.g-sm-5,.gy-sm-5{--bs-gutter-y: 3rem}}@media (min-width: 768px){.col-md{flex:1 0 0%;-webkit-flex:1 0 0%}.row-cols-md-auto>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:auto}.row-cols-md-1>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:100%}.row-cols-md-2>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:50%}.row-cols-md-3>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:33.33333%}.row-cols-md-4>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:25%}.row-cols-md-5>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:20%}.row-cols-md-6>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:16.66667%}.col-md-auto{flex:0 0 auto;-webkit-flex:0 0 auto;width:auto}.col-md-1{flex:0 0 auto;-webkit-flex:0 0 auto;width:8.33333%}.col-md-2{flex:0 0 auto;-webkit-flex:0 0 auto;width:16.66667%}.col-md-3{flex:0 0 auto;-webkit-flex:0 0 auto;width:25%}.col-md-4{flex:0 0 auto;-webkit-flex:0 0 auto;width:33.33333%}.col-md-5{flex:0 0 auto;-webkit-flex:0 0 auto;width:41.66667%}.col-md-6{flex:0 0 auto;-webkit-flex:0 0 auto;width:50%}.col-md-7{flex:0 0 auto;-webkit-flex:0 0 auto;width:58.33333%}.col-md-8{flex:0 0 auto;-webkit-flex:0 0 auto;width:66.66667%}.col-md-9{flex:0 0 auto;-webkit-flex:0 0 auto;width:75%}.col-md-10{flex:0 0 auto;-webkit-flex:0 0 auto;width:83.33333%}.col-md-11{flex:0 0 auto;-webkit-flex:0 0 auto;width:91.66667%}.col-md-12{flex:0 0 auto;-webkit-flex:0 0 auto;width:100%}.offset-md-0{margin-left:0}.offset-md-1{margin-left:8.33333%}.offset-md-2{margin-left:16.66667%}.offset-md-3{margin-left:25%}.offset-md-4{margin-left:33.33333%}.offset-md-5{margin-left:41.66667%}.offset-md-6{margin-left:50%}.offset-md-7{margin-left:58.33333%}.offset-md-8{margin-left:66.66667%}.offset-md-9{margin-left:75%}.offset-md-10{margin-left:83.33333%}.offset-md-11{margin-left:91.66667%}.g-md-0,.gx-md-0{--bs-gutter-x: 0}.g-md-0,.gy-md-0{--bs-gutter-y: 0}.g-md-1,.gx-md-1{--bs-gutter-x: .25rem}.g-md-1,.gy-md-1{--bs-gutter-y: .25rem}.g-md-2,.gx-md-2{--bs-gutter-x: .5rem}.g-md-2,.gy-md-2{--bs-gutter-y: .5rem}.g-md-3,.gx-md-3{--bs-gutter-x: 1rem}.g-md-3,.gy-md-3{--bs-gutter-y: 1rem}.g-md-4,.gx-md-4{--bs-gutter-x: 1.5rem}.g-md-4,.gy-md-4{--bs-gutter-y: 1.5rem}.g-md-5,.gx-md-5{--bs-gutter-x: 3rem}.g-md-5,.gy-md-5{--bs-gutter-y: 3rem}}@media (min-width: 992px){.col-lg{flex:1 0 0%;-webkit-flex:1 0 0%}.row-cols-lg-auto>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:auto}.row-cols-lg-1>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:100%}.row-cols-lg-2>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:50%}.row-cols-lg-3>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:33.33333%}.row-cols-lg-4>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:25%}.row-cols-lg-5>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:20%}.row-cols-lg-6>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:16.66667%}.col-lg-auto{flex:0 0 auto;-webkit-flex:0 0 auto;width:auto}.col-lg-1{flex:0 0 auto;-webkit-flex:0 0 auto;width:8.33333%}.col-lg-2{flex:0 0 auto;-webkit-flex:0 0 auto;width:16.66667%}.col-lg-3{flex:0 0 auto;-webkit-flex:0 0 auto;width:25%}.col-lg-4{flex:0 0 auto;-webkit-flex:0 0 auto;width:33.33333%}.col-lg-5{flex:0 0 auto;-webkit-flex:0 0 auto;width:41.66667%}.col-lg-6{flex:0 0 auto;-webkit-flex:0 0 auto;width:50%}.col-lg-7{flex:0 0 auto;-webkit-flex:0 0 auto;width:58.33333%}.col-lg-8{flex:0 0 auto;-webkit-flex:0 0 auto;width:66.66667%}.col-lg-9{flex:0 0 auto;-webkit-flex:0 0 auto;width:75%}.col-lg-10{flex:0 0 auto;-webkit-flex:0 0 auto;width:83.33333%}.col-lg-11{flex:0 0 auto;-webkit-flex:0 0 auto;width:91.66667%}.col-lg-12{flex:0 0 auto;-webkit-flex:0 0 auto;width:100%}.offset-lg-0{margin-left:0}.offset-lg-1{margin-left:8.33333%}.offset-lg-2{margin-left:16.66667%}.offset-lg-3{margin-left:25%}.offset-lg-4{margin-left:33.33333%}.offset-lg-5{margin-left:41.66667%}.offset-lg-6{margin-left:50%}.offset-lg-7{margin-left:58.33333%}.offset-lg-8{margin-left:66.66667%}.offset-lg-9{margin-left:75%}.offset-lg-10{margin-left:83.33333%}.offset-lg-11{margin-left:91.66667%}.g-lg-0,.gx-lg-0{--bs-gutter-x: 0}.g-lg-0,.gy-lg-0{--bs-gutter-y: 0}.g-lg-1,.gx-lg-1{--bs-gutter-x: .25rem}.g-lg-1,.gy-lg-1{--bs-gutter-y: .25rem}.g-lg-2,.gx-lg-2{--bs-gutter-x: .5rem}.g-lg-2,.gy-lg-2{--bs-gutter-y: .5rem}.g-lg-3,.gx-lg-3{--bs-gutter-x: 1rem}.g-lg-3,.gy-lg-3{--bs-gutter-y: 1rem}.g-lg-4,.gx-lg-4{--bs-gutter-x: 1.5rem}.g-lg-4,.gy-lg-4{--bs-gutter-y: 1.5rem}.g-lg-5,.gx-lg-5{--bs-gutter-x: 3rem}.g-lg-5,.gy-lg-5{--bs-gutter-y: 3rem}}@media (min-width: 1200px){.col-xl{flex:1 0 0%;-webkit-flex:1 0 0%}.row-cols-xl-auto>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:auto}.row-cols-xl-1>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:100%}.row-cols-xl-2>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:50%}.row-cols-xl-3>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:33.33333%}.row-cols-xl-4>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:25%}.row-cols-xl-5>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:20%}.row-cols-xl-6>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:16.66667%}.col-xl-auto{flex:0 0 auto;-webkit-flex:0 0 auto;width:auto}.col-xl-1{flex:0 0 auto;-webkit-flex:0 0 auto;width:8.33333%}.col-xl-2{flex:0 0 auto;-webkit-flex:0 0 auto;width:16.66667%}.col-xl-3{flex:0 0 auto;-webkit-flex:0 0 auto;width:25%}.col-xl-4{flex:0 0 auto;-webkit-flex:0 0 auto;width:33.33333%}.col-xl-5{flex:0 0 auto;-webkit-flex:0 0 auto;width:41.66667%}.col-xl-6{flex:0 0 auto;-webkit-flex:0 0 auto;width:50%}.col-xl-7{flex:0 0 auto;-webkit-flex:0 0 auto;width:58.33333%}.col-xl-8{flex:0 0 auto;-webkit-flex:0 0 auto;width:66.66667%}.col-xl-9{flex:0 0 auto;-webkit-flex:0 0 auto;width:75%}.col-xl-10{flex:0 0 auto;-webkit-flex:0 0 auto;width:83.33333%}.col-xl-11{flex:0 0 auto;-webkit-flex:0 0 auto;width:91.66667%}.col-xl-12{flex:0 0 auto;-webkit-flex:0 0 auto;width:100%}.offset-xl-0{margin-left:0}.offset-xl-1{margin-left:8.33333%}.offset-xl-2{margin-left:16.66667%}.offset-xl-3{margin-left:25%}.offset-xl-4{margin-left:33.33333%}.offset-xl-5{margin-left:41.66667%}.offset-xl-6{margin-left:50%}.offset-xl-7{margin-left:58.33333%}.offset-xl-8{margin-left:66.66667%}.offset-xl-9{margin-left:75%}.offset-xl-10{margin-left:83.33333%}.offset-xl-11{margin-left:91.66667%}.g-xl-0,.gx-xl-0{--bs-gutter-x: 0}.g-xl-0,.gy-xl-0{--bs-gutter-y: 0}.g-xl-1,.gx-xl-1{--bs-gutter-x: .25rem}.g-xl-1,.gy-xl-1{--bs-gutter-y: .25rem}.g-xl-2,.gx-xl-2{--bs-gutter-x: .5rem}.g-xl-2,.gy-xl-2{--bs-gutter-y: .5rem}.g-xl-3,.gx-xl-3{--bs-gutter-x: 1rem}.g-xl-3,.gy-xl-3{--bs-gutter-y: 1rem}.g-xl-4,.gx-xl-4{--bs-gutter-x: 1.5rem}.g-xl-4,.gy-xl-4{--bs-gutter-y: 1.5rem}.g-xl-5,.gx-xl-5{--bs-gutter-x: 3rem}.g-xl-5,.gy-xl-5{--bs-gutter-y: 3rem}}@media (min-width: 1400px){.col-xxl{flex:1 0 0%;-webkit-flex:1 0 0%}.row-cols-xxl-auto>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:auto}.row-cols-xxl-1>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:100%}.row-cols-xxl-2>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:50%}.row-cols-xxl-3>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:33.33333%}.row-cols-xxl-4>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:25%}.row-cols-xxl-5>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:20%}.row-cols-xxl-6>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:16.66667%}.col-xxl-auto{flex:0 0 auto;-webkit-flex:0 0 auto;width:auto}.col-xxl-1{flex:0 0 auto;-webkit-flex:0 0 auto;width:8.33333%}.col-xxl-2{flex:0 0 auto;-webkit-flex:0 0 auto;width:16.66667%}.col-xxl-3{flex:0 0 auto;-webkit-flex:0 0 auto;width:25%}.col-xxl-4{flex:0 0 auto;-webkit-flex:0 0 auto;width:33.33333%}.col-xxl-5{flex:0 0 auto;-webkit-flex:0 0 auto;width:41.66667%}.col-xxl-6{flex:0 0 auto;-webkit-flex:0 0 auto;width:50%}.col-xxl-7{flex:0 0 auto;-webkit-flex:0 0 auto;width:58.33333%}.col-xxl-8{flex:0 0 auto;-webkit-flex:0 0 auto;width:66.66667%}.col-xxl-9{flex:0 0 auto;-webkit-flex:0 0 auto;width:75%}.col-xxl-10{flex:0 0 auto;-webkit-flex:0 0 auto;width:83.33333%}.col-xxl-11{flex:0 0 auto;-webkit-flex:0 0 auto;width:91.66667%}.col-xxl-12{flex:0 0 auto;-webkit-flex:0 0 auto;width:100%}.offset-xxl-0{margin-left:0}.offset-xxl-1{margin-left:8.33333%}.offset-xxl-2{margin-left:16.66667%}.offset-xxl-3{margin-left:25%}.offset-xxl-4{margin-left:33.33333%}.offset-xxl-5{margin-left:41.66667%}.offset-xxl-6{margin-left:50%}.offset-xxl-7{margin-left:58.33333%}.offset-xxl-8{margin-left:66.66667%}.offset-xxl-9{margin-left:75%}.offset-xxl-10{margin-left:83.33333%}.offset-xxl-11{margin-left:91.66667%}.g-xxl-0,.gx-xxl-0{--bs-gutter-x: 0}.g-xxl-0,.gy-xxl-0{--bs-gutter-y: 0}.g-xxl-1,.gx-xxl-1{--bs-gutter-x: .25rem}.g-xxl-1,.gy-xxl-1{--bs-gutter-y: .25rem}.g-xxl-2,.gx-xxl-2{--bs-gutter-x: .5rem}.g-xxl-2,.gy-xxl-2{--bs-gutter-y: .5rem}.g-xxl-3,.gx-xxl-3{--bs-gutter-x: 1rem}.g-xxl-3,.gy-xxl-3{--bs-gutter-y: 1rem}.g-xxl-4,.gx-xxl-4{--bs-gutter-x: 1.5rem}.g-xxl-4,.gy-xxl-4{--bs-gutter-y: 1.5rem}.g-xxl-5,.gx-xxl-5{--bs-gutter-x: 3rem}.g-xxl-5,.gy-xxl-5{--bs-gutter-y: 3rem}}.table{--bs-table-color-type: initial;--bs-table-bg-type: initial;--bs-table-color-state: initial;--bs-table-bg-state: initial;--bs-table-color: var(--bs-body-color);--bs-table-bg: var(--bs-body-bg);--bs-table-border-color: var(--bs-border-color);--bs-table-accent-bg: rgba(0,0,0,0);--bs-table-striped-color: var(--bs-body-color);--bs-table-striped-bg: rgba(0,0,0,0.05);--bs-table-active-color: var(--bs-body-color);--bs-table-active-bg: rgba(0,0,0,0.1);--bs-table-hover-color: var(--bs-body-color);--bs-table-hover-bg: rgba(0,0,0,0.075);width:100%;margin-bottom:1rem;vertical-align:top;border-color:var(--bs-table-border-color)}.table>:not(caption)>*>*{padding:.5rem .5rem;color:var(--bs-table-color-state, var(--bs-table-color-type, var(--bs-table-color)));background-color:var(--bs-table-bg);border-bottom-width:var(--bs-border-width);box-shadow:inset 0 0 0 9999px var(--bs-table-bg-state, var(--bs-table-bg-type, var(--bs-table-accent-bg)))}.table>tbody{vertical-align:inherit}.table>thead{vertical-align:bottom}.table-group-divider{border-top:calc(var(--bs-border-width) * 2) solid currentcolor}.caption-top{caption-side:top}.table-sm>:not(caption)>*>*{padding:.25rem .25rem}.table-bordered>:not(caption)>*{border-width:var(--bs-border-width) 0}.table-bordered>:not(caption)>*>*{border-width:0 var(--bs-border-width)}.table-borderless>:not(caption)>*>*{border-bottom-width:0}.table-borderless>:not(:first-child){border-top-width:0}.table-striped>tbody>tr:nth-of-type(odd)>*{--bs-table-color-type: var(--bs-table-striped-color);--bs-table-bg-type: var(--bs-table-striped-bg)}.table-striped-columns>:not(caption)>tr>:nth-child(even){--bs-table-color-type: var(--bs-table-striped-color);--bs-table-bg-type: var(--bs-table-striped-bg)}.table-active{--bs-table-color-state: var(--bs-table-active-color);--bs-table-bg-state: var(--bs-table-active-bg)}.table-hover>tbody>tr:hover>*{--bs-table-color-state: var(--bs-table-hover-color);--bs-table-bg-state: var(--bs-table-hover-bg)}.table-primary{--bs-table-color: #000;--bs-table-bg: #cfe2ff;--bs-table-border-color: #bacbe6;--bs-table-striped-bg: #c5d7f2;--bs-table-striped-color: #000;--bs-table-active-bg: #bacbe6;--bs-table-active-color: #000;--bs-table-hover-bg: #bfd1ec;--bs-table-hover-color: #000;color:var(--bs-table-color);border-color:var(--bs-table-border-color)}.table-secondary{--bs-table-color: #000;--bs-table-bg: #e2e3e5;--bs-table-border-color: #cbccce;--bs-table-striped-bg: #d7d8da;--bs-table-striped-color: #000;--bs-table-active-bg: #cbccce;--bs-table-active-color: #000;--bs-table-hover-bg: #d1d2d4;--bs-table-hover-color: #000;color:var(--bs-table-color);border-color:var(--bs-table-border-color)}.table-success{--bs-table-color: #000;--bs-table-bg: #d1e7dd;--bs-table-border-color: #bcd0c7;--bs-table-striped-bg: #c7dbd2;--bs-table-striped-color: #000;--bs-table-active-bg: #bcd0c7;--bs-table-active-color: #000;--bs-table-hover-bg: #c1d6cc;--bs-table-hover-color: #000;color:var(--bs-table-color);border-color:var(--bs-table-border-color)}.table-info{--bs-table-color: #000;--bs-table-bg: #cff4fc;--bs-table-border-color: #badce3;--bs-table-striped-bg: #c5e8ef;--bs-table-striped-color: #000;--bs-table-active-bg: #badce3;--bs-table-active-color: #000;--bs-table-hover-bg: #bfe2e9;--bs-table-hover-color: #000;color:var(--bs-table-color);border-color:var(--bs-table-border-color)}.table-warning{--bs-table-color: #000;--bs-table-bg: #fff3cd;--bs-table-border-color: #e6dbb9;--bs-table-striped-bg: #f2e7c3;--bs-table-striped-color: #000;--bs-table-active-bg: #e6dbb9;--bs-table-active-color: #000;--bs-table-hover-bg: #ece1be;--bs-table-hover-color: #000;color:var(--bs-table-color);border-color:var(--bs-table-border-color)}.table-danger{--bs-table-color: #000;--bs-table-bg: #f8d7da;--bs-table-border-color: #dfc2c4;--bs-table-striped-bg: #eccccf;--bs-table-striped-color: #000;--bs-table-active-bg: #dfc2c4;--bs-table-active-color: #000;--bs-table-hover-bg: #e5c7ca;--bs-table-hover-color: #000;color:var(--bs-table-color);border-color:var(--bs-table-border-color)}.table-light{--bs-table-color: #000;--bs-table-bg: #f8f9fa;--bs-table-border-color: #dfe0e1;--bs-table-striped-bg: #ecedee;--bs-table-striped-color: #000;--bs-table-active-bg: #dfe0e1;--bs-table-active-color: #000;--bs-table-hover-bg: #e5e6e7;--bs-table-hover-color: #000;color:var(--bs-table-color);border-color:var(--bs-table-border-color)}.table-dark{--bs-table-color: #fff;--bs-table-bg: #212529;--bs-table-border-color: #373b3e;--bs-table-striped-bg: #2c3034;--bs-table-striped-color: #fff;--bs-table-active-bg: #373b3e;--bs-table-active-color: #fff;--bs-table-hover-bg: #323539;--bs-table-hover-color: #fff;color:var(--bs-table-color);border-color:var(--bs-table-border-color)}.table-responsive{overflow-x:auto;-webkit-overflow-scrolling:touch}@media (max-width: 575.98px){.table-responsive-sm{overflow-x:auto;-webkit-overflow-scrolling:touch}}@media (max-width: 767.98px){.table-responsive-md{overflow-x:auto;-webkit-overflow-scrolling:touch}}@media (max-width: 991.98px){.table-responsive-lg{overflow-x:auto;-webkit-overflow-scrolling:touch}}@media (max-width: 1199.98px){.table-responsive-xl{overflow-x:auto;-webkit-overflow-scrolling:touch}}@media (max-width: 1399.98px){.table-responsive-xxl{overflow-x:auto;-webkit-overflow-scrolling:touch}}.form-label,.shiny-input-container .control-label{margin-bottom:.5rem}.col-form-label{padding-top:calc(.375rem + var(--bs-border-width));padding-bottom:calc(.375rem + var(--bs-border-width));margin-bottom:0;font-size:inherit;line-height:1.5}.col-form-label-lg{padding-top:calc(.5rem + var(--bs-border-width));padding-bottom:calc(.5rem + var(--bs-border-width));font-size:1.25rem}.col-form-label-sm{padding-top:calc(.25rem + var(--bs-border-width));padding-bottom:calc(.25rem + var(--bs-border-width));font-size:.875rem}.form-text{margin-top:.25rem;font-size:.875em;color:var(--bs-secondary-color)}.form-control{display:block;width:100%;padding:.375rem .75rem;font-size:1rem;font-weight:400;line-height:1.5;color:var(--bs-body-color);appearance:none;-webkit-appearance:none;-moz-appearance:none;-ms-appearance:none;-o-appearance:none;background-color:var(--bs-body-bg);background-clip:padding-box;border:var(--bs-border-width) solid var(--bs-border-color);border-radius:var(--bs-border-radius);transition:border-color 0.15s ease-in-out,box-shadow 0.15s ease-in-out}@media (prefers-reduced-motion: reduce){.form-control{transition:none}}.form-control[type="file"]{overflow:hidden}.form-control[type="file"]:not(:disabled):not([readonly]){cursor:pointer}.form-control:focus{color:var(--bs-body-color);background-color:var(--bs-body-bg);border-color:#86b7fe;outline:0;box-shadow:0 0 0 .25rem rgba(13,110,253,0.25)}.form-control::-webkit-date-and-time-value{min-width:85px;height:1.5em;margin:0}.form-control::-webkit-datetime-edit{display:block;padding:0}.form-control::placeholder{color:var(--bs-secondary-color);opacity:1}.form-control:disabled{background-color:var(--bs-secondary-bg);opacity:1}.form-control::file-selector-button{padding:.375rem .75rem;margin:-.375rem -.75rem;margin-inline-end:.75rem;color:var(--bs-body-color);background-color:var(--bs-tertiary-bg);pointer-events:none;border-color:inherit;border-style:solid;border-width:0;border-inline-end-width:var(--bs-border-width);border-radius:0;transition:color 0.15s ease-in-out,background-color 0.15s ease-in-out,border-color 0.15s ease-in-out,box-shadow 0.15s ease-in-out}@media (prefers-reduced-motion: reduce){.form-control::file-selector-button{transition:none}}.form-control:hover:not(:disabled):not([readonly])::file-selector-button{background-color:var(--bs-secondary-bg)}.form-control-plaintext{display:block;width:100%;padding:.375rem 0;margin-bottom:0;line-height:1.5;color:var(--bs-body-color);background-color:transparent;border:solid transparent;border-width:var(--bs-border-width) 0}.form-control-plaintext:focus{outline:0}.form-control-plaintext.form-control-sm,.form-control-plaintext.form-control-lg{padding-right:0;padding-left:0}.form-control-sm{min-height:calc(1.5em + .5rem + calc(var(--bs-border-width) * 2));padding:.25rem .5rem;font-size:.875rem;border-radius:var(--bs-border-radius-sm)}.form-control-sm::file-selector-button{padding:.25rem .5rem;margin:-.25rem -.5rem;margin-inline-end:.5rem}.form-control-lg{min-height:calc(1.5em + 1rem + calc(var(--bs-border-width) * 2));padding:.5rem 1rem;font-size:1.25rem;border-radius:var(--bs-border-radius-lg)}.form-control-lg::file-selector-button{padding:.5rem 1rem;margin:-.5rem -1rem;margin-inline-end:1rem}textarea.form-control{min-height:calc(1.5em + .75rem + calc(var(--bs-border-width) * 2))}textarea.form-control-sm{min-height:calc(1.5em + .5rem + calc(var(--bs-border-width) * 2))}textarea.form-control-lg{min-height:calc(1.5em + 1rem + calc(var(--bs-border-width) * 2))}.form-control-color{width:3rem;height:calc(1.5em + .75rem + calc(var(--bs-border-width) * 2));padding:.375rem}.form-control-color:not(:disabled):not([readonly]){cursor:pointer}.form-control-color::-moz-color-swatch{border:0 !important;border-radius:var(--bs-border-radius)}.form-control-color::-webkit-color-swatch{border:0 !important;border-radius:var(--bs-border-radius)}.form-control-color.form-control-sm{height:calc(1.5em + .5rem + calc(var(--bs-border-width) * 2))}.form-control-color.form-control-lg{height:calc(1.5em + 1rem + calc(var(--bs-border-width) * 2))}.form-select{--bs-form-select-bg-img: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16'%3e%3cpath fill='none' stroke='%23343a40' stroke-linecap='round' stroke-linejoin='round' stroke-width='2' d='m2 5 6 6 6-6'/%3e%3c/svg%3e");display:block;width:100%;padding:.375rem 2.25rem .375rem .75rem;font-size:1rem;font-weight:400;line-height:1.5;color:var(--bs-body-color);appearance:none;-webkit-appearance:none;-moz-appearance:none;-ms-appearance:none;-o-appearance:none;background-color:var(--bs-body-bg);background-image:var(--bs-form-select-bg-img),var(--bs-form-select-bg-icon, none);background-repeat:no-repeat;background-position:right .75rem center;background-size:16px 12px;border:var(--bs-border-width) solid var(--bs-border-color);border-radius:var(--bs-border-radius);transition:border-color 0.15s ease-in-out,box-shadow 0.15s ease-in-out}@media (prefers-reduced-motion: reduce){.form-select{transition:none}}.form-select:focus{border-color:#86b7fe;outline:0;box-shadow:0 0 0 .25rem rgba(13,110,253,0.25)}.form-select[multiple],.form-select[size]:not([size="1"]){padding-right:.75rem;background-image:none}.form-select:disabled{background-color:var(--bs-secondary-bg)}.form-select:-moz-focusring{color:transparent;text-shadow:0 0 0 var(--bs-body-color)}.form-select-sm{padding-top:.25rem;padding-bottom:.25rem;padding-left:.5rem;font-size:.875rem;border-radius:var(--bs-border-radius-sm)}.form-select-lg{padding-top:.5rem;padding-bottom:.5rem;padding-left:1rem;font-size:1.25rem;border-radius:var(--bs-border-radius-lg)}[data-bs-theme="dark"] .form-select{--bs-form-select-bg-img: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16'%3e%3cpath fill='none' stroke='%23dee2e6' stroke-linecap='round' stroke-linejoin='round' stroke-width='2' d='m2 5 6 6 6-6'/%3e%3c/svg%3e")}.form-check,.shiny-input-container .checkbox,.shiny-input-container .radio{display:block;min-height:1.5rem;padding-left:0;margin-bottom:.125rem}.form-check .form-check-input,.form-check .shiny-input-container .checkbox input,.form-check .shiny-input-container .radio input,.shiny-input-container .checkbox .form-check-input,.shiny-input-container .checkbox .shiny-input-container .checkbox input,.shiny-input-container .checkbox .shiny-input-container .radio input,.shiny-input-container .radio .form-check-input,.shiny-input-container .radio .shiny-input-container .checkbox input,.shiny-input-container .radio .shiny-input-container .radio input{float:left;margin-left:0}.form-check-reverse{padding-right:0;padding-left:0;text-align:right}.form-check-reverse .form-check-input{float:right;margin-right:0;margin-left:0}.form-check-input,.shiny-input-container .checkbox input,.shiny-input-container .checkbox-inline input,.shiny-input-container .radio input,.shiny-input-container .radio-inline input{--bs-form-check-bg: var(--bs-body-bg);width:1em;height:1em;margin-top:.25em;vertical-align:top;appearance:none;-webkit-appearance:none;-moz-appearance:none;-ms-appearance:none;-o-appearance:none;background-color:var(--bs-form-check-bg);background-image:var(--bs-form-check-bg-image);background-repeat:no-repeat;background-position:center;background-size:contain;border:var(--bs-border-width) solid var(--bs-border-color);print-color-adjust:exact}.form-check-input[type="checkbox"],.shiny-input-container .checkbox input[type="checkbox"],.shiny-input-container .checkbox-inline input[type="checkbox"],.shiny-input-container .radio input[type="checkbox"],.shiny-input-container .radio-inline input[type="checkbox"]{border-radius:.25em}.form-check-input[type="radio"],.shiny-input-container .checkbox input[type="radio"],.shiny-input-container .checkbox-inline input[type="radio"],.shiny-input-container .radio input[type="radio"],.shiny-input-container .radio-inline input[type="radio"]{border-radius:50%}.form-check-input:active,.shiny-input-container .checkbox input:active,.shiny-input-container .checkbox-inline input:active,.shiny-input-container .radio input:active,.shiny-input-container .radio-inline input:active{filter:brightness(90%)}.form-check-input:focus,.shiny-input-container .checkbox input:focus,.shiny-input-container .checkbox-inline input:focus,.shiny-input-container .radio input:focus,.shiny-input-container .radio-inline input:focus{border-color:#86b7fe;outline:0;box-shadow:0 0 0 .25rem rgba(13,110,253,0.25)}.form-check-input:checked,.shiny-input-container .checkbox input:checked,.shiny-input-container .checkbox-inline input:checked,.shiny-input-container .radio input:checked,.shiny-input-container .radio-inline input:checked{background-color:#0d6efd;border-color:#0d6efd}.form-check-input:checked[type="checkbox"],.shiny-input-container .checkbox input:checked[type="checkbox"],.shiny-input-container .checkbox-inline input:checked[type="checkbox"],.shiny-input-container .radio input:checked[type="checkbox"],.shiny-input-container .radio-inline input:checked[type="checkbox"]{--bs-form-check-bg-image: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 20 20'%3e%3cpath fill='none' stroke='%23fff' stroke-linecap='round' stroke-linejoin='round' stroke-width='3' d='m6 10 3 3 6-6'/%3e%3c/svg%3e")}.form-check-input:checked[type="radio"],.shiny-input-container .checkbox input:checked[type="radio"],.shiny-input-container .checkbox-inline input:checked[type="radio"],.shiny-input-container .radio input:checked[type="radio"],.shiny-input-container .radio-inline input:checked[type="radio"]{--bs-form-check-bg-image: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='-4 -4 8 8'%3e%3ccircle r='2' fill='%23fff'/%3e%3c/svg%3e")}.form-check-input[type="checkbox"]:indeterminate,.shiny-input-container .checkbox input[type="checkbox"]:indeterminate,.shiny-input-container .checkbox-inline input[type="checkbox"]:indeterminate,.shiny-input-container .radio input[type="checkbox"]:indeterminate,.shiny-input-container .radio-inline input[type="checkbox"]:indeterminate{background-color:#0d6efd;border-color:#0d6efd;--bs-form-check-bg-image: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 20 20'%3e%3cpath fill='none' stroke='%23fff' stroke-linecap='round' stroke-linejoin='round' stroke-width='3' d='M6 10h8'/%3e%3c/svg%3e")}.form-check-input:disabled,.shiny-input-container .checkbox input:disabled,.shiny-input-container .checkbox-inline input:disabled,.shiny-input-container .radio input:disabled,.shiny-input-container .radio-inline input:disabled{pointer-events:none;filter:none;opacity:.5}.form-check-input[disabled]~.form-check-label,.form-check-input[disabled]~span,.form-check-input:disabled~.form-check-label,.form-check-input:disabled~span,.shiny-input-container .checkbox input[disabled]~.form-check-label,.shiny-input-container .checkbox input[disabled]~span,.shiny-input-container .checkbox input:disabled~.form-check-label,.shiny-input-container .checkbox input:disabled~span,.shiny-input-container .checkbox-inline input[disabled]~.form-check-label,.shiny-input-container .checkbox-inline input[disabled]~span,.shiny-input-container .checkbox-inline input:disabled~.form-check-label,.shiny-input-container .checkbox-inline input:disabled~span,.shiny-input-container .radio input[disabled]~.form-check-label,.shiny-input-container .radio input[disabled]~span,.shiny-input-container .radio input:disabled~.form-check-label,.shiny-input-container .radio input:disabled~span,.shiny-input-container .radio-inline input[disabled]~.form-check-label,.shiny-input-container .radio-inline input[disabled]~span,.shiny-input-container .radio-inline input:disabled~.form-check-label,.shiny-input-container .radio-inline input:disabled~span{cursor:default;opacity:.5}.form-check-label,.shiny-input-container .checkbox label,.shiny-input-container .checkbox-inline label,.shiny-input-container .radio label,.shiny-input-container .radio-inline label{cursor:pointer}.form-switch{padding-left:2.5em}.form-switch .form-check-input{--bs-form-switch-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='-4 -4 8 8'%3e%3ccircle r='3' fill='rgba%280,0,0,0.25%29'/%3e%3c/svg%3e");width:2em;margin-left:-2.5em;background-image:var(--bs-form-switch-bg);background-position:left center;border-radius:2em;transition:background-position 0.15s ease-in-out}@media (prefers-reduced-motion: reduce){.form-switch .form-check-input{transition:none}}.form-switch .form-check-input:focus{--bs-form-switch-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='-4 -4 8 8'%3e%3ccircle r='3' fill='%2386b7fe'/%3e%3c/svg%3e")}.form-switch .form-check-input:checked{background-position:right center;--bs-form-switch-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='-4 -4 8 8'%3e%3ccircle r='3' fill='%23fff'/%3e%3c/svg%3e")}.form-switch.form-check-reverse{padding-right:2.5em;padding-left:0}.form-switch.form-check-reverse .form-check-input{margin-right:-2.5em;margin-left:0}.form-check-inline{display:inline-block;margin-right:1rem}.btn-check{position:absolute;clip:rect(0, 0, 0, 0);pointer-events:none}.btn-check[disabled]+.btn,.btn-check:disabled+.btn{pointer-events:none;filter:none;opacity:.65}[data-bs-theme="dark"] .form-switch .form-check-input:not(:checked):not(:focus){--bs-form-switch-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='-4 -4 8 8'%3e%3ccircle r='3' fill='rgba%28255,255,255,0.25%29'/%3e%3c/svg%3e")}.form-range{width:100%;height:1.5rem;padding:0;appearance:none;-webkit-appearance:none;-moz-appearance:none;-ms-appearance:none;-o-appearance:none;background-color:transparent}.form-range:focus{outline:0}.form-range:focus::-webkit-slider-thumb{box-shadow:0 0 0 1px #fff,0 0 0 .25rem rgba(13,110,253,0.25)}.form-range:focus::-moz-range-thumb{box-shadow:0 0 0 1px #fff,0 0 0 .25rem rgba(13,110,253,0.25)}.form-range::-moz-focus-outer{border:0}.form-range::-webkit-slider-thumb{width:1rem;height:1rem;margin-top:-.25rem;appearance:none;-webkit-appearance:none;-moz-appearance:none;-ms-appearance:none;-o-appearance:none;background-color:#0d6efd;border:0;border-radius:1rem;transition:background-color 0.15s ease-in-out,border-color 0.15s ease-in-out,box-shadow 0.15s ease-in-out}@media (prefers-reduced-motion: reduce){.form-range::-webkit-slider-thumb{transition:none}}.form-range::-webkit-slider-thumb:active{background-color:#b6d4fe}.form-range::-webkit-slider-runnable-track{width:100%;height:.5rem;color:transparent;cursor:pointer;background-color:var(--bs-tertiary-bg);border-color:transparent;border-radius:1rem}.form-range::-moz-range-thumb{width:1rem;height:1rem;appearance:none;-webkit-appearance:none;-moz-appearance:none;-ms-appearance:none;-o-appearance:none;background-color:#0d6efd;border:0;border-radius:1rem;transition:background-color 0.15s ease-in-out,border-color 0.15s ease-in-out,box-shadow 0.15s ease-in-out}@media (prefers-reduced-motion: reduce){.form-range::-moz-range-thumb{transition:none}}.form-range::-moz-range-thumb:active{background-color:#b6d4fe}.form-range::-moz-range-track{width:100%;height:.5rem;color:transparent;cursor:pointer;background-color:var(--bs-tertiary-bg);border-color:transparent;border-radius:1rem}.form-range:disabled{pointer-events:none}.form-range:disabled::-webkit-slider-thumb{background-color:var(--bs-secondary-color)}.form-range:disabled::-moz-range-thumb{background-color:var(--bs-secondary-color)}.form-floating{position:relative}.form-floating>.form-control,.form-floating>.form-control-plaintext,.form-floating>.form-select{height:calc(3.5rem + calc(var(--bs-border-width) * 2));min-height:calc(3.5rem + calc(var(--bs-border-width) * 2));line-height:1.25}.form-floating>label{position:absolute;top:0;left:0;z-index:2;height:100%;padding:1rem .75rem;overflow:hidden;text-align:start;text-overflow:ellipsis;white-space:nowrap;pointer-events:none;border:var(--bs-border-width) solid transparent;transform-origin:0 0;transition:opacity 0.1s ease-in-out,transform 0.1s ease-in-out}@media (prefers-reduced-motion: reduce){.form-floating>label{transition:none}}.form-floating>.form-control,.form-floating>.form-control-plaintext{padding:1rem .75rem}.form-floating>.form-control::placeholder,.form-floating>.form-control-plaintext::placeholder{color:transparent}.form-floating>.form-control:focus,.form-floating>.form-control:not(:placeholder-shown),.form-floating>.form-control-plaintext:focus,.form-floating>.form-control-plaintext:not(:placeholder-shown){padding-top:1.625rem;padding-bottom:.625rem}.form-floating>.form-control:-webkit-autofill,.form-floating>.form-control-plaintext:-webkit-autofill{padding-top:1.625rem;padding-bottom:.625rem}.form-floating>.form-select{padding-top:1.625rem;padding-bottom:.625rem}.form-floating>.form-control:focus~label,.form-floating>.form-control:not(:placeholder-shown)~label,.form-floating>.form-control-plaintext~label,.form-floating>.form-select~label{color:rgba(var(--bs-body-color-rgb), .65);transform:scale(0.85) translateY(-0.5rem) translateX(0.15rem)}.form-floating>.form-control:focus~label::after,.form-floating>.form-control:not(:placeholder-shown)~label::after,.form-floating>.form-control-plaintext~label::after,.form-floating>.form-select~label::after{position:absolute;inset:1rem .375rem;z-index:-1;height:1.5em;content:"";background-color:var(--bs-body-bg);border-radius:var(--bs-border-radius)}.form-floating>.form-control:-webkit-autofill~label{color:rgba(var(--bs-body-color-rgb), .65);transform:scale(0.85) translateY(-0.5rem) translateX(0.15rem)}.form-floating>.form-control-plaintext~label{border-width:var(--bs-border-width) 0}.form-floating>:disabled~label,.form-floating>.form-control:disabled~label{color:#6c757d}.form-floating>:disabled~label::after,.form-floating>.form-control:disabled~label::after{background-color:var(--bs-secondary-bg)}.input-group{position:relative;display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;align-items:stretch;-webkit-align-items:stretch;width:100%}.input-group>.form-control,.input-group>.form-select,.input-group>.form-floating{position:relative;flex:1 1 auto;-webkit-flex:1 1 auto;width:1%;min-width:0}.input-group>.form-control:focus,.input-group>.form-select:focus,.input-group>.form-floating:focus-within{z-index:5}.input-group .btn{position:relative;z-index:2}.input-group .btn:focus{z-index:5}.input-group-text{display:flex;display:-webkit-flex;align-items:center;-webkit-align-items:center;padding:.375rem .75rem;font-size:1rem;font-weight:400;line-height:1.5;color:var(--bs-body-color);text-align:center;white-space:nowrap;background-color:var(--bs-tertiary-bg);border:var(--bs-border-width) solid var(--bs-border-color);border-radius:var(--bs-border-radius)}.input-group-lg>.form-control,.input-group-lg>.form-select,.input-group-lg>.input-group-text,.input-group-lg>.btn{padding:.5rem 1rem;font-size:1.25rem;border-radius:var(--bs-border-radius-lg)}.input-group-sm>.form-control,.input-group-sm>.form-select,.input-group-sm>.input-group-text,.input-group-sm>.btn{padding:.25rem .5rem;font-size:.875rem;border-radius:var(--bs-border-radius-sm)}.input-group-lg>.form-select,.input-group-sm>.form-select{padding-right:3rem}.input-group:not(.has-validation)>:not(:last-child):not(.dropdown-toggle):not(.dropdown-menu):not(.form-floating),.input-group:not(.has-validation)>.dropdown-toggle:nth-last-child(n + 3),.input-group:not(.has-validation)>.form-floating:not(:last-child)>.form-control,.input-group:not(.has-validation)>.form-floating:not(:last-child)>.form-select{border-top-right-radius:0;border-bottom-right-radius:0}.input-group.has-validation>:nth-last-child(n + 3):not(.dropdown-toggle):not(.dropdown-menu):not(.form-floating),.input-group.has-validation>.dropdown-toggle:nth-last-child(n + 4),.input-group.has-validation>.form-floating:nth-last-child(n + 3)>.form-control,.input-group.has-validation>.form-floating:nth-last-child(n + 3)>.form-select{border-top-right-radius:0;border-bottom-right-radius:0}.input-group>:not(:first-child):not(.dropdown-menu):not(.valid-tooltip):not(.valid-feedback):not(.invalid-tooltip):not(.invalid-feedback){margin-left:calc(var(--bs-border-width) * -1);border-top-left-radius:0;border-bottom-left-radius:0}.input-group>.form-floating:not(:first-child)>.form-control,.input-group>.form-floating:not(:first-child)>.form-select{border-top-left-radius:0;border-bottom-left-radius:0}.valid-feedback{display:none;width:100%;margin-top:.25rem;font-size:.875em;color:var(--bs-form-valid-color)}.valid-tooltip{position:absolute;top:100%;z-index:5;display:none;max-width:100%;padding:.25rem .5rem;margin-top:.1rem;font-size:.875rem;color:#fff;background-color:var(--bs-success);border-radius:var(--bs-border-radius)}.was-validated :valid~.valid-feedback,.was-validated :valid~.valid-tooltip,.is-valid~.valid-feedback,.is-valid~.valid-tooltip{display:block}.was-validated .form-control:valid,.form-control.is-valid{border-color:var(--bs-form-valid-border-color);padding-right:calc(1.5em + .75rem);background-image:url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 8 8'%3e%3cpath fill='%23198754' d='M2.3 6.73.6 4.53c-.4-1.04.46-1.4 1.1-.8l1.1 1.4 3.4-3.8c.6-.63 1.6-.27 1.2.7l-4 4.6c-.43.5-.8.4-1.1.1z'/%3e%3c/svg%3e");background-repeat:no-repeat;background-position:right calc(.375em + .1875rem) center;background-size:calc(.75em + .375rem) calc(.75em + .375rem)}.was-validated .form-control:valid:focus,.form-control.is-valid:focus{border-color:var(--bs-form-valid-border-color);box-shadow:0 0 0 .25rem rgba(var(--bs-success-rgb), 0.25)}.was-validated textarea.form-control:valid,textarea.form-control.is-valid{padding-right:calc(1.5em + .75rem);background-position:top calc(.375em + .1875rem) right calc(.375em + .1875rem)}.was-validated .form-select:valid,.form-select.is-valid{border-color:var(--bs-form-valid-border-color)}.was-validated .form-select:valid:not([multiple]):not([size]),.was-validated .form-select:valid:not([multiple])[size="1"],.form-select.is-valid:not([multiple]):not([size]),.form-select.is-valid:not([multiple])[size="1"]{--bs-form-select-bg-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 8 8'%3e%3cpath fill='%23198754' d='M2.3 6.73.6 4.53c-.4-1.04.46-1.4 1.1-.8l1.1 1.4 3.4-3.8c.6-.63 1.6-.27 1.2.7l-4 4.6c-.43.5-.8.4-1.1.1z'/%3e%3c/svg%3e");padding-right:4.125rem;background-position:right .75rem center,center right 2.25rem;background-size:16px 12px,calc(.75em + .375rem) calc(.75em + .375rem)}.was-validated .form-select:valid:focus,.form-select.is-valid:focus{border-color:var(--bs-form-valid-border-color);box-shadow:0 0 0 .25rem rgba(var(--bs-success-rgb), 0.25)}.was-validated .form-control-color:valid,.form-control-color.is-valid{width:calc(3rem + calc(1.5em + .75rem))}.was-validated .form-check-input:valid,.form-check-input.is-valid{border-color:var(--bs-form-valid-border-color)}.was-validated .form-check-input:valid:checked,.form-check-input.is-valid:checked{background-color:var(--bs-form-valid-color)}.was-validated .form-check-input:valid:focus,.form-check-input.is-valid:focus{box-shadow:0 0 0 .25rem rgba(var(--bs-success-rgb), 0.25)}.was-validated .form-check-input:valid~.form-check-label,.form-check-input.is-valid~.form-check-label{color:var(--bs-form-valid-color)}.form-check-inline .form-check-input~.valid-feedback{margin-left:.5em}.was-validated .input-group>.form-control:not(:focus):valid,.input-group>.form-control:not(:focus).is-valid,.was-validated .input-group>.form-select:not(:focus):valid,.input-group>.form-select:not(:focus).is-valid,.was-validated .input-group>.form-floating:not(:focus-within):valid,.input-group>.form-floating:not(:focus-within).is-valid{z-index:3}.invalid-feedback{display:none;width:100%;margin-top:.25rem;font-size:.875em;color:var(--bs-form-invalid-color)}.invalid-tooltip{position:absolute;top:100%;z-index:5;display:none;max-width:100%;padding:.25rem .5rem;margin-top:.1rem;font-size:.875rem;color:#fff;background-color:var(--bs-danger);border-radius:var(--bs-border-radius)}.was-validated :invalid~.invalid-feedback,.was-validated :invalid~.invalid-tooltip,.is-invalid~.invalid-feedback,.is-invalid~.invalid-tooltip{display:block}.was-validated .form-control:invalid,.form-control.is-invalid{border-color:var(--bs-form-invalid-border-color);padding-right:calc(1.5em + .75rem);background-image:url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 12 12' width='12' height='12' fill='none' stroke='%23dc3545'%3e%3ccircle cx='6' cy='6' r='4.5'/%3e%3cpath stroke-linejoin='round' d='M5.8 3.6h.4L6 6.5z'/%3e%3ccircle cx='6' cy='8.2' r='.6' fill='%23dc3545' stroke='none'/%3e%3c/svg%3e");background-repeat:no-repeat;background-position:right calc(.375em + .1875rem) center;background-size:calc(.75em + .375rem) calc(.75em + .375rem)}.was-validated .form-control:invalid:focus,.form-control.is-invalid:focus{border-color:var(--bs-form-invalid-border-color);box-shadow:0 0 0 .25rem rgba(var(--bs-danger-rgb), 0.25)}.was-validated textarea.form-control:invalid,textarea.form-control.is-invalid{padding-right:calc(1.5em + .75rem);background-position:top calc(.375em + .1875rem) right calc(.375em + .1875rem)}.was-validated .form-select:invalid,.form-select.is-invalid{border-color:var(--bs-form-invalid-border-color)}.was-validated .form-select:invalid:not([multiple]):not([size]),.was-validated .form-select:invalid:not([multiple])[size="1"],.form-select.is-invalid:not([multiple]):not([size]),.form-select.is-invalid:not([multiple])[size="1"]{--bs-form-select-bg-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 12 12' width='12' height='12' fill='none' stroke='%23dc3545'%3e%3ccircle cx='6' cy='6' r='4.5'/%3e%3cpath stroke-linejoin='round' d='M5.8 3.6h.4L6 6.5z'/%3e%3ccircle cx='6' cy='8.2' r='.6' fill='%23dc3545' stroke='none'/%3e%3c/svg%3e");padding-right:4.125rem;background-position:right .75rem center,center right 2.25rem;background-size:16px 12px,calc(.75em + .375rem) calc(.75em + .375rem)}.was-validated .form-select:invalid:focus,.form-select.is-invalid:focus{border-color:var(--bs-form-invalid-border-color);box-shadow:0 0 0 .25rem rgba(var(--bs-danger-rgb), 0.25)}.was-validated .form-control-color:invalid,.form-control-color.is-invalid{width:calc(3rem + calc(1.5em + .75rem))}.was-validated .form-check-input:invalid,.form-check-input.is-invalid{border-color:var(--bs-form-invalid-border-color)}.was-validated .form-check-input:invalid:checked,.form-check-input.is-invalid:checked{background-color:var(--bs-form-invalid-color)}.was-validated .form-check-input:invalid:focus,.form-check-input.is-invalid:focus{box-shadow:0 0 0 .25rem rgba(var(--bs-danger-rgb), 0.25)}.was-validated .form-check-input:invalid~.form-check-label,.form-check-input.is-invalid~.form-check-label{color:var(--bs-form-invalid-color)}.form-check-inline .form-check-input~.invalid-feedback{margin-left:.5em}.was-validated .input-group>.form-control:not(:focus):invalid,.input-group>.form-control:not(:focus).is-invalid,.was-validated .input-group>.form-select:not(:focus):invalid,.input-group>.form-select:not(:focus).is-invalid,.was-validated .input-group>.form-floating:not(:focus-within):invalid,.input-group>.form-floating:not(:focus-within).is-invalid{z-index:4}.btn{--bs-btn-padding-x: .75rem;--bs-btn-padding-y: .375rem;--bs-btn-font-family: ;--bs-btn-font-size:1rem;--bs-btn-font-weight: 400;--bs-btn-line-height: 1.5;--bs-btn-color: var(--bs-body-color);--bs-btn-bg: transparent;--bs-btn-border-width: var(--bs-border-width);--bs-btn-border-color: transparent;--bs-btn-border-radius: var(--bs-border-radius);--bs-btn-hover-border-color: transparent;--bs-btn-box-shadow: inset 0 1px 0 rgba(255,255,255,0.15),0 1px 1px rgba(0,0,0,0.075);--bs-btn-disabled-opacity: .65;--bs-btn-focus-box-shadow: 0 0 0 .25rem rgba(var(--bs-btn-focus-shadow-rgb), .5);display:inline-block;padding:var(--bs-btn-padding-y) var(--bs-btn-padding-x);font-family:var(--bs-btn-font-family);font-size:var(--bs-btn-font-size);font-weight:var(--bs-btn-font-weight);line-height:var(--bs-btn-line-height);color:var(--bs-btn-color);text-align:center;text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;vertical-align:middle;cursor:pointer;user-select:none;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;-o-user-select:none;border:var(--bs-btn-border-width) solid var(--bs-btn-border-color);border-radius:var(--bs-btn-border-radius);background-color:var(--bs-btn-bg);transition:color 0.15s ease-in-out,background-color 0.15s ease-in-out,border-color 0.15s ease-in-out,box-shadow 0.15s ease-in-out}@media (prefers-reduced-motion: reduce){.btn{transition:none}}.btn:hover{color:var(--bs-btn-hover-color);background-color:var(--bs-btn-hover-bg);border-color:var(--bs-btn-hover-border-color)}.btn-check+.btn:hover{color:var(--bs-btn-color);background-color:var(--bs-btn-bg);border-color:var(--bs-btn-border-color)}.btn:focus-visible{color:var(--bs-btn-hover-color);background-color:var(--bs-btn-hover-bg);border-color:var(--bs-btn-hover-border-color);outline:0;box-shadow:var(--bs-btn-focus-box-shadow)}.btn-check:focus-visible+.btn{border-color:var(--bs-btn-hover-border-color);outline:0;box-shadow:var(--bs-btn-focus-box-shadow)}.btn-check:checked+.btn,:not(.btn-check)+.btn:active,.btn:first-child:active,.btn.active,.btn.show{color:var(--bs-btn-active-color);background-color:var(--bs-btn-active-bg);border-color:var(--bs-btn-active-border-color)}.btn-check:checked+.btn:focus-visible,:not(.btn-check)+.btn:active:focus-visible,.btn:first-child:active:focus-visible,.btn.active:focus-visible,.btn.show:focus-visible{box-shadow:var(--bs-btn-focus-box-shadow)}.btn:disabled,.btn.disabled,fieldset:disabled .btn{color:var(--bs-btn-disabled-color);pointer-events:none;background-color:var(--bs-btn-disabled-bg);border-color:var(--bs-btn-disabled-border-color);opacity:var(--bs-btn-disabled-opacity)}.btn-default{--bs-btn-color: #000;--bs-btn-bg: #dee2e6;--bs-btn-border-color: #dee2e6;--bs-btn-hover-color: #000;--bs-btn-hover-bg: #e3e6ea;--bs-btn-hover-border-color: #e1e5e9;--bs-btn-focus-shadow-rgb: 189,192,196;--bs-btn-active-color: #000;--bs-btn-active-bg: #e5e8eb;--bs-btn-active-border-color: #e1e5e9;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #000;--bs-btn-disabled-bg: #dee2e6;--bs-btn-disabled-border-color: #dee2e6}.btn-primary{--bs-btn-color: #fff;--bs-btn-bg: #0d6efd;--bs-btn-border-color: #0d6efd;--bs-btn-hover-color: #fff;--bs-btn-hover-bg: #0b5ed7;--bs-btn-hover-border-color: #0a58ca;--bs-btn-focus-shadow-rgb: 49,132,253;--bs-btn-active-color: #fff;--bs-btn-active-bg: #0a58ca;--bs-btn-active-border-color: #0a53be;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #fff;--bs-btn-disabled-bg: #0d6efd;--bs-btn-disabled-border-color: #0d6efd}.btn-secondary{--bs-btn-color: #fff;--bs-btn-bg: #6c757d;--bs-btn-border-color: #6c757d;--bs-btn-hover-color: #fff;--bs-btn-hover-bg: #5c636a;--bs-btn-hover-border-color: #565e64;--bs-btn-focus-shadow-rgb: 130,138,145;--bs-btn-active-color: #fff;--bs-btn-active-bg: #565e64;--bs-btn-active-border-color: #51585e;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #fff;--bs-btn-disabled-bg: #6c757d;--bs-btn-disabled-border-color: #6c757d}.btn-success{--bs-btn-color: #fff;--bs-btn-bg: #198754;--bs-btn-border-color: #198754;--bs-btn-hover-color: #fff;--bs-btn-hover-bg: #157347;--bs-btn-hover-border-color: #146c43;--bs-btn-focus-shadow-rgb: 60,153,110;--bs-btn-active-color: #fff;--bs-btn-active-bg: #146c43;--bs-btn-active-border-color: #13653f;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #fff;--bs-btn-disabled-bg: #198754;--bs-btn-disabled-border-color: #198754}.btn-info{--bs-btn-color: #000;--bs-btn-bg: #0dcaf0;--bs-btn-border-color: #0dcaf0;--bs-btn-hover-color: #000;--bs-btn-hover-bg: #31d2f2;--bs-btn-hover-border-color: #25cff2;--bs-btn-focus-shadow-rgb: 11,172,204;--bs-btn-active-color: #000;--bs-btn-active-bg: #3dd5f3;--bs-btn-active-border-color: #25cff2;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #000;--bs-btn-disabled-bg: #0dcaf0;--bs-btn-disabled-border-color: #0dcaf0}.btn-warning{--bs-btn-color: #000;--bs-btn-bg: #ffc107;--bs-btn-border-color: #ffc107;--bs-btn-hover-color: #000;--bs-btn-hover-bg: #ffca2c;--bs-btn-hover-border-color: #ffc720;--bs-btn-focus-shadow-rgb: 217,164,6;--bs-btn-active-color: #000;--bs-btn-active-bg: #ffcd39;--bs-btn-active-border-color: #ffc720;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #000;--bs-btn-disabled-bg: #ffc107;--bs-btn-disabled-border-color: #ffc107}.btn-danger{--bs-btn-color: #fff;--bs-btn-bg: #dc3545;--bs-btn-border-color: #dc3545;--bs-btn-hover-color: #fff;--bs-btn-hover-bg: #bb2d3b;--bs-btn-hover-border-color: #b02a37;--bs-btn-focus-shadow-rgb: 225,83,97;--bs-btn-active-color: #fff;--bs-btn-active-bg: #b02a37;--bs-btn-active-border-color: #a52834;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #fff;--bs-btn-disabled-bg: #dc3545;--bs-btn-disabled-border-color: #dc3545}.btn-light{--bs-btn-color: #000;--bs-btn-bg: #f8f9fa;--bs-btn-border-color: #f8f9fa;--bs-btn-hover-color: #000;--bs-btn-hover-bg: #d3d4d5;--bs-btn-hover-border-color: #c6c7c8;--bs-btn-focus-shadow-rgb: 211,212,213;--bs-btn-active-color: #000;--bs-btn-active-bg: #c6c7c8;--bs-btn-active-border-color: #babbbc;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #000;--bs-btn-disabled-bg: #f8f9fa;--bs-btn-disabled-border-color: #f8f9fa}.btn-dark{--bs-btn-color: #fff;--bs-btn-bg: #212529;--bs-btn-border-color: #212529;--bs-btn-hover-color: #fff;--bs-btn-hover-bg: #424649;--bs-btn-hover-border-color: #373b3e;--bs-btn-focus-shadow-rgb: 66,70,73;--bs-btn-active-color: #fff;--bs-btn-active-bg: #4d5154;--bs-btn-active-border-color: #373b3e;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #fff;--bs-btn-disabled-bg: #212529;--bs-btn-disabled-border-color: #212529}.btn-outline-default{--bs-btn-color: #dee2e6;--bs-btn-border-color: #dee2e6;--bs-btn-hover-color: #000;--bs-btn-hover-bg: #dee2e6;--bs-btn-hover-border-color: #dee2e6;--bs-btn-focus-shadow-rgb: 222,226,230;--bs-btn-active-color: #000;--bs-btn-active-bg: #dee2e6;--bs-btn-active-border-color: #dee2e6;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #dee2e6;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #dee2e6;--bs-btn-bg: transparent;--bs-gradient: none}.btn-outline-primary{--bs-btn-color: #0d6efd;--bs-btn-border-color: #0d6efd;--bs-btn-hover-color: #fff;--bs-btn-hover-bg: #0d6efd;--bs-btn-hover-border-color: #0d6efd;--bs-btn-focus-shadow-rgb: 13,110,253;--bs-btn-active-color: #fff;--bs-btn-active-bg: #0d6efd;--bs-btn-active-border-color: #0d6efd;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #0d6efd;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #0d6efd;--bs-btn-bg: transparent;--bs-gradient: none}.btn-outline-secondary{--bs-btn-color: #6c757d;--bs-btn-border-color: #6c757d;--bs-btn-hover-color: #fff;--bs-btn-hover-bg: #6c757d;--bs-btn-hover-border-color: #6c757d;--bs-btn-focus-shadow-rgb: 108,117,125;--bs-btn-active-color: #fff;--bs-btn-active-bg: #6c757d;--bs-btn-active-border-color: #6c757d;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #6c757d;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #6c757d;--bs-btn-bg: transparent;--bs-gradient: none}.btn-outline-success{--bs-btn-color: #198754;--bs-btn-border-color: #198754;--bs-btn-hover-color: #fff;--bs-btn-hover-bg: #198754;--bs-btn-hover-border-color: #198754;--bs-btn-focus-shadow-rgb: 25,135,84;--bs-btn-active-color: #fff;--bs-btn-active-bg: #198754;--bs-btn-active-border-color: #198754;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #198754;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #198754;--bs-btn-bg: transparent;--bs-gradient: none}.btn-outline-info{--bs-btn-color: #0dcaf0;--bs-btn-border-color: #0dcaf0;--bs-btn-hover-color: #000;--bs-btn-hover-bg: #0dcaf0;--bs-btn-hover-border-color: #0dcaf0;--bs-btn-focus-shadow-rgb: 13,202,240;--bs-btn-active-color: #000;--bs-btn-active-bg: #0dcaf0;--bs-btn-active-border-color: #0dcaf0;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #0dcaf0;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #0dcaf0;--bs-btn-bg: transparent;--bs-gradient: none}.btn-outline-warning{--bs-btn-color: #ffc107;--bs-btn-border-color: #ffc107;--bs-btn-hover-color: #000;--bs-btn-hover-bg: #ffc107;--bs-btn-hover-border-color: #ffc107;--bs-btn-focus-shadow-rgb: 255,193,7;--bs-btn-active-color: #000;--bs-btn-active-bg: #ffc107;--bs-btn-active-border-color: #ffc107;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #ffc107;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #ffc107;--bs-btn-bg: transparent;--bs-gradient: none}.btn-outline-danger{--bs-btn-color: #dc3545;--bs-btn-border-color: #dc3545;--bs-btn-hover-color: #fff;--bs-btn-hover-bg: #dc3545;--bs-btn-hover-border-color: #dc3545;--bs-btn-focus-shadow-rgb: 220,53,69;--bs-btn-active-color: #fff;--bs-btn-active-bg: #dc3545;--bs-btn-active-border-color: #dc3545;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #dc3545;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #dc3545;--bs-btn-bg: transparent;--bs-gradient: none}.btn-outline-light{--bs-btn-color: #f8f9fa;--bs-btn-border-color: #f8f9fa;--bs-btn-hover-color: #000;--bs-btn-hover-bg: #f8f9fa;--bs-btn-hover-border-color: #f8f9fa;--bs-btn-focus-shadow-rgb: 248,249,250;--bs-btn-active-color: #000;--bs-btn-active-bg: #f8f9fa;--bs-btn-active-border-color: #f8f9fa;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #f8f9fa;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #f8f9fa;--bs-btn-bg: transparent;--bs-gradient: none}.btn-outline-dark{--bs-btn-color: #212529;--bs-btn-border-color: #212529;--bs-btn-hover-color: #fff;--bs-btn-hover-bg: #212529;--bs-btn-hover-border-color: #212529;--bs-btn-focus-shadow-rgb: 33,37,41;--bs-btn-active-color: #fff;--bs-btn-active-bg: #212529;--bs-btn-active-border-color: #212529;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #212529;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #212529;--bs-btn-bg: transparent;--bs-gradient: none}.btn-link{--bs-btn-font-weight: 400;--bs-btn-color: var(--bs-link-color);--bs-btn-bg: transparent;--bs-btn-border-color: transparent;--bs-btn-hover-color: var(--bs-link-hover-color);--bs-btn-hover-border-color: transparent;--bs-btn-active-color: var(--bs-link-hover-color);--bs-btn-active-border-color: transparent;--bs-btn-disabled-color: #6c757d;--bs-btn-disabled-border-color: transparent;--bs-btn-box-shadow: 0 0 0 #000;--bs-btn-focus-shadow-rgb: 49,132,253;text-decoration:underline;-webkit-text-decoration:underline;-moz-text-decoration:underline;-ms-text-decoration:underline;-o-text-decoration:underline}.btn-link:focus-visible{color:var(--bs-btn-color)}.btn-link:hover{color:var(--bs-btn-hover-color)}.btn-lg,.btn-group-lg>.btn{--bs-btn-padding-y: .5rem;--bs-btn-padding-x: 1rem;--bs-btn-font-size:1.25rem;--bs-btn-border-radius: var(--bs-border-radius-lg)}.btn-sm,.btn-group-sm>.btn{--bs-btn-padding-y: .25rem;--bs-btn-padding-x: .5rem;--bs-btn-font-size:.875rem;--bs-btn-border-radius: var(--bs-border-radius-sm)}.fade{transition:opacity 0.15s linear}@media (prefers-reduced-motion: reduce){.fade{transition:none}}.fade:not(.show){opacity:0}.collapse:not(.show){display:none}.collapsing{height:0;overflow:hidden;transition:height 0.35s ease}@media (prefers-reduced-motion: reduce){.collapsing{transition:none}}.collapsing.collapse-horizontal{width:0;height:auto;transition:width 0.35s ease}@media (prefers-reduced-motion: reduce){.collapsing.collapse-horizontal{transition:none}}.dropup,.dropend,.dropdown,.dropstart,.dropup-center,.dropdown-center{position:relative}.dropdown-toggle{white-space:nowrap}.dropdown-toggle::after{display:inline-block;margin-left:.255em;vertical-align:.255em;content:"";border-top:.3em solid;border-right:.3em solid transparent;border-bottom:0;border-left:.3em solid transparent}.dropdown-toggle:empty::after{margin-left:0}.dropdown-menu{--bs-dropdown-zindex: 1000;--bs-dropdown-min-width: 10rem;--bs-dropdown-padding-x: 0;--bs-dropdown-padding-y: .5rem;--bs-dropdown-spacer: .125rem;--bs-dropdown-font-size:1rem;--bs-dropdown-color: var(--bs-body-color);--bs-dropdown-bg: var(--bs-body-bg);--bs-dropdown-border-color: var(--bs-border-color-translucent);--bs-dropdown-border-radius: var(--bs-border-radius);--bs-dropdown-border-width: var(--bs-border-width);--bs-dropdown-inner-border-radius: calc(var(--bs-border-radius) - var(--bs-border-width));--bs-dropdown-divider-bg: var(--bs-border-color-translucent);--bs-dropdown-divider-margin-y: .5rem;--bs-dropdown-box-shadow: 0 0.5rem 1rem rgba(0,0,0,0.15);--bs-dropdown-link-color: var(--bs-body-color);--bs-dropdown-link-hover-color: var(--bs-body-color);--bs-dropdown-link-hover-bg: var(--bs-tertiary-bg);--bs-dropdown-link-active-color: #fff;--bs-dropdown-link-active-bg: #0d6efd;--bs-dropdown-link-disabled-color: var(--bs-tertiary-color);--bs-dropdown-item-padding-x: 1rem;--bs-dropdown-item-padding-y: .25rem;--bs-dropdown-header-color: #6c757d;--bs-dropdown-header-padding-x: 1rem;--bs-dropdown-header-padding-y: .5rem;position:absolute;z-index:var(--bs-dropdown-zindex);display:none;min-width:var(--bs-dropdown-min-width);padding:var(--bs-dropdown-padding-y) var(--bs-dropdown-padding-x);margin:0;font-size:var(--bs-dropdown-font-size);color:var(--bs-dropdown-color);text-align:left;list-style:none;background-color:var(--bs-dropdown-bg);background-clip:padding-box;border:var(--bs-dropdown-border-width) solid var(--bs-dropdown-border-color);border-radius:var(--bs-dropdown-border-radius)}.dropdown-menu[data-bs-popper]{top:100%;left:0;margin-top:var(--bs-dropdown-spacer)}.dropdown-menu-start{--bs-position: start}.dropdown-menu-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-end{--bs-position: end}.dropdown-menu-end[data-bs-popper]{right:0;left:auto}@media (min-width: 576px){.dropdown-menu-sm-start{--bs-position: start}.dropdown-menu-sm-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-sm-end{--bs-position: end}.dropdown-menu-sm-end[data-bs-popper]{right:0;left:auto}}@media (min-width: 768px){.dropdown-menu-md-start{--bs-position: start}.dropdown-menu-md-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-md-end{--bs-position: end}.dropdown-menu-md-end[data-bs-popper]{right:0;left:auto}}@media (min-width: 992px){.dropdown-menu-lg-start{--bs-position: start}.dropdown-menu-lg-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-lg-end{--bs-position: end}.dropdown-menu-lg-end[data-bs-popper]{right:0;left:auto}}@media (min-width: 1200px){.dropdown-menu-xl-start{--bs-position: start}.dropdown-menu-xl-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-xl-end{--bs-position: end}.dropdown-menu-xl-end[data-bs-popper]{right:0;left:auto}}@media (min-width: 1400px){.dropdown-menu-xxl-start{--bs-position: start}.dropdown-menu-xxl-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-xxl-end{--bs-position: end}.dropdown-menu-xxl-end[data-bs-popper]{right:0;left:auto}}.dropup .dropdown-menu[data-bs-popper]{top:auto;bottom:100%;margin-top:0;margin-bottom:var(--bs-dropdown-spacer)}.dropup .dropdown-toggle::after{display:inline-block;margin-left:.255em;vertical-align:.255em;content:"";border-top:0;border-right:.3em solid transparent;border-bottom:.3em solid;border-left:.3em solid transparent}.dropup .dropdown-toggle:empty::after{margin-left:0}.dropend .dropdown-menu[data-bs-popper]{top:0;right:auto;left:100%;margin-top:0;margin-left:var(--bs-dropdown-spacer)}.dropend .dropdown-toggle::after{display:inline-block;margin-left:.255em;vertical-align:.255em;content:"";border-top:.3em solid transparent;border-right:0;border-bottom:.3em solid transparent;border-left:.3em solid}.dropend .dropdown-toggle:empty::after{margin-left:0}.dropend .dropdown-toggle::after{vertical-align:0}.dropstart .dropdown-menu[data-bs-popper]{top:0;right:100%;left:auto;margin-top:0;margin-right:var(--bs-dropdown-spacer)}.dropstart .dropdown-toggle::after{display:inline-block;margin-left:.255em;vertical-align:.255em;content:""}.dropstart .dropdown-toggle::after{display:none}.dropstart .dropdown-toggle::before{display:inline-block;margin-right:.255em;vertical-align:.255em;content:"";border-top:.3em solid transparent;border-right:.3em solid;border-bottom:.3em solid transparent}.dropstart .dropdown-toggle:empty::after{margin-left:0}.dropstart .dropdown-toggle::before{vertical-align:0}.dropdown-divider{height:0;margin:var(--bs-dropdown-divider-margin-y) 0;overflow:hidden;border-top:1px solid var(--bs-dropdown-divider-bg);opacity:1}.dropdown-item{display:block;width:100%;padding:var(--bs-dropdown-item-padding-y) var(--bs-dropdown-item-padding-x);clear:both;font-weight:400;color:var(--bs-dropdown-link-color);text-align:inherit;text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;white-space:nowrap;background-color:transparent;border:0;border-radius:var(--bs-dropdown-item-border-radius, 0)}.dropdown-item:hover,.dropdown-item:focus{color:var(--bs-dropdown-link-hover-color);background-color:var(--bs-dropdown-link-hover-bg)}.dropdown-item.active,.dropdown-item:active{color:var(--bs-dropdown-link-active-color);text-decoration:none;background-color:var(--bs-dropdown-link-active-bg)}.dropdown-item.disabled,.dropdown-item:disabled{color:var(--bs-dropdown-link-disabled-color);pointer-events:none;background-color:transparent}.dropdown-menu.show{display:block}.dropdown-header{display:block;padding:var(--bs-dropdown-header-padding-y) var(--bs-dropdown-header-padding-x);margin-bottom:0;font-size:.875rem;color:var(--bs-dropdown-header-color);white-space:nowrap}.dropdown-item-text{display:block;padding:var(--bs-dropdown-item-padding-y) var(--bs-dropdown-item-padding-x);color:var(--bs-dropdown-link-color)}.dropdown-menu-dark{--bs-dropdown-color: #dee2e6;--bs-dropdown-bg: #343a40;--bs-dropdown-border-color: var(--bs-border-color-translucent);--bs-dropdown-box-shadow: ;--bs-dropdown-link-color: #dee2e6;--bs-dropdown-link-hover-color: #fff;--bs-dropdown-divider-bg: var(--bs-border-color-translucent);--bs-dropdown-link-hover-bg: rgba(255,255,255,0.15);--bs-dropdown-link-active-color: #fff;--bs-dropdown-link-active-bg: #0d6efd;--bs-dropdown-link-disabled-color: #adb5bd;--bs-dropdown-header-color: #adb5bd}.btn-group,.btn-group-vertical{position:relative;display:inline-flex;vertical-align:middle}.btn-group>.btn,.btn-group-vertical>.btn{position:relative;flex:1 1 auto;-webkit-flex:1 1 auto}.btn-group>.btn-check:checked+.btn,.btn-group>.btn-check:focus+.btn,.btn-group>.btn:hover,.btn-group>.btn:focus,.btn-group>.btn:active,.btn-group>.btn.active,.btn-group-vertical>.btn-check:checked+.btn,.btn-group-vertical>.btn-check:focus+.btn,.btn-group-vertical>.btn:hover,.btn-group-vertical>.btn:focus,.btn-group-vertical>.btn:active,.btn-group-vertical>.btn.active{z-index:1}.btn-toolbar{display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;justify-content:flex-start;-webkit-justify-content:flex-start}.btn-toolbar .input-group{width:auto}.btn-group{border-radius:var(--bs-border-radius)}.btn-group>:not(.btn-check:first-child)+.btn,.btn-group>.btn-group:not(:first-child){margin-left:calc(var(--bs-border-width) * -1)}.btn-group>.btn:not(:last-child):not(.dropdown-toggle),.btn-group>.btn.dropdown-toggle-split:first-child,.btn-group>.btn-group:not(:last-child)>.btn{border-top-right-radius:0;border-bottom-right-radius:0}.btn-group>.btn:nth-child(n + 3),.btn-group>:not(.btn-check)+.btn,.btn-group>.btn-group:not(:first-child)>.btn{border-top-left-radius:0;border-bottom-left-radius:0}.dropdown-toggle-split{padding-right:.5625rem;padding-left:.5625rem}.dropdown-toggle-split::after,.dropup .dropdown-toggle-split::after,.dropend .dropdown-toggle-split::after{margin-left:0}.dropstart .dropdown-toggle-split::before{margin-right:0}.btn-sm+.dropdown-toggle-split,.btn-group-sm>.btn+.dropdown-toggle-split{padding-right:.375rem;padding-left:.375rem}.btn-lg+.dropdown-toggle-split,.btn-group-lg>.btn+.dropdown-toggle-split{padding-right:.75rem;padding-left:.75rem}.btn-group-vertical{flex-direction:column;-webkit-flex-direction:column;align-items:flex-start;-webkit-align-items:flex-start;justify-content:center;-webkit-justify-content:center}.btn-group-vertical>.btn,.btn-group-vertical>.btn-group{width:100%}.btn-group-vertical>.btn:not(:first-child),.btn-group-vertical>.btn-group:not(:first-child){margin-top:calc(var(--bs-border-width) * -1)}.btn-group-vertical>.btn:not(:last-child):not(.dropdown-toggle),.btn-group-vertical>.btn-group:not(:last-child)>.btn{border-bottom-right-radius:0;border-bottom-left-radius:0}.btn-group-vertical>.btn~.btn,.btn-group-vertical>.btn-group:not(:first-child)>.btn{border-top-left-radius:0;border-top-right-radius:0}.nav{--bs-nav-link-padding-x: 1rem;--bs-nav-link-padding-y: .5rem;--bs-nav-link-font-weight: ;--bs-nav-link-color: var(--bs-link-color);--bs-nav-link-hover-color: var(--bs-link-hover-color);--bs-nav-link-disabled-color: var(--bs-secondary-color);display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;padding-left:0;margin-bottom:0;list-style:none}.nav-link{display:block;padding:var(--bs-nav-link-padding-y) var(--bs-nav-link-padding-x);font-size:var(--bs-nav-link-font-size);font-weight:var(--bs-nav-link-font-weight);color:var(--bs-nav-link-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background:none;border:0;transition:color 0.15s ease-in-out,background-color 0.15s ease-in-out,border-color 0.15s ease-in-out}@media (prefers-reduced-motion: reduce){.nav-link{transition:none}}.nav-link:hover,.nav-link:focus{color:var(--bs-nav-link-hover-color)}.nav-link:focus-visible{outline:0;box-shadow:0 0 0 .25rem rgba(13,110,253,0.25)}.nav-link.disabled,.nav-link:disabled{color:var(--bs-nav-link-disabled-color);pointer-events:none;cursor:default}.nav-tabs{--bs-nav-tabs-border-width: var(--bs-border-width);--bs-nav-tabs-border-color: var(--bs-border-color);--bs-nav-tabs-border-radius: var(--bs-border-radius);--bs-nav-tabs-link-hover-border-color: var(--bs-secondary-bg) var(--bs-secondary-bg) var(--bs-border-color);--bs-nav-tabs-link-active-color: var(--bs-emphasis-color);--bs-nav-tabs-link-active-bg: var(--bs-body-bg);--bs-nav-tabs-link-active-border-color: var(--bs-border-color) var(--bs-border-color) var(--bs-body-bg);border-bottom:var(--bs-nav-tabs-border-width) solid var(--bs-nav-tabs-border-color)}.nav-tabs .nav-link{margin-bottom:calc(-1 * var(--bs-nav-tabs-border-width));border:var(--bs-nav-tabs-border-width) solid transparent;border-top-left-radius:var(--bs-nav-tabs-border-radius);border-top-right-radius:var(--bs-nav-tabs-border-radius)}.nav-tabs .nav-link:hover,.nav-tabs .nav-link:focus{isolation:isolate;border-color:var(--bs-nav-tabs-link-hover-border-color)}.nav-tabs .nav-link.active,.nav-tabs .nav-item.show .nav-link{color:var(--bs-nav-tabs-link-active-color);background-color:var(--bs-nav-tabs-link-active-bg);border-color:var(--bs-nav-tabs-link-active-border-color)}.nav-tabs .dropdown-menu{margin-top:calc(-1 * var(--bs-nav-tabs-border-width));border-top-left-radius:0;border-top-right-radius:0}.nav-pills{--bs-nav-pills-border-radius: var(--bs-border-radius);--bs-nav-pills-link-active-color: #fff;--bs-nav-pills-link-active-bg: #0d6efd}.nav-pills .nav-link{border-radius:var(--bs-nav-pills-border-radius)}.nav-pills .nav-link.active,.nav-pills .show>.nav-link{color:var(--bs-nav-pills-link-active-color);background-color:var(--bs-nav-pills-link-active-bg)}.nav-underline{--bs-nav-underline-gap: 1rem;--bs-nav-underline-border-width: .125rem;--bs-nav-underline-link-active-color: var(--bs-emphasis-color);gap:var(--bs-nav-underline-gap)}.nav-underline .nav-link{padding-right:0;padding-left:0;border-bottom:var(--bs-nav-underline-border-width) solid transparent}.nav-underline .nav-link:hover,.nav-underline .nav-link:focus{border-bottom-color:currentcolor}.nav-underline .nav-link.active,.nav-underline .show>.nav-link{font-weight:700;color:var(--bs-nav-underline-link-active-color);border-bottom-color:currentcolor}.nav-fill>.nav-link,.nav-fill .nav-item{flex:1 1 auto;-webkit-flex:1 1 auto;text-align:center}.nav-justified>.nav-link,.nav-justified .nav-item{flex-basis:0;-webkit-flex-basis:0;flex-grow:1;-webkit-flex-grow:1;text-align:center}.nav-fill .nav-item .nav-link,.nav-justified .nav-item .nav-link{width:100%}.tab-content>.tab-pane{display:none}.tab-content>.active{display:block}.navbar{--bs-navbar-padding-x: 0;--bs-navbar-padding-y: .5rem;--bs-navbar-color: rgba(var(--bs-emphasis-color-rgb), 0.65);--bs-navbar-hover-color: rgba(var(--bs-emphasis-color-rgb), 0.8);--bs-navbar-disabled-color: rgba(var(--bs-emphasis-color-rgb), 0.3);--bs-navbar-active-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-brand-padding-y: .3125rem;--bs-navbar-brand-margin-end: 1rem;--bs-navbar-brand-font-size: 1.25rem;--bs-navbar-brand-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-brand-hover-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-nav-link-padding-x: .5rem;--bs-navbar-toggler-padding-y: .25rem;--bs-navbar-toggler-padding-x: .75rem;--bs-navbar-toggler-font-size: 1.25rem;--bs-navbar-toggler-icon-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'%3e%3cpath stroke='rgba%2833,37,41,0.75%29' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/%3e%3c/svg%3e");--bs-navbar-toggler-border-color: rgba(var(--bs-emphasis-color-rgb), 0.15);--bs-navbar-toggler-border-radius: var(--bs-border-radius);--bs-navbar-toggler-focus-width: .25rem;--bs-navbar-toggler-transition: box-shadow 0.15s ease-in-out;position:relative;display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;align-items:center;-webkit-align-items:center;justify-content:space-between;-webkit-justify-content:space-between;padding:var(--bs-navbar-padding-y) var(--bs-navbar-padding-x)}.navbar>.container,.navbar>.container-fluid,.navbar>.container-sm,.navbar>.container-md,.navbar>.container-lg,.navbar>.container-xl,.navbar>.container-xxl{display:flex;display:-webkit-flex;flex-wrap:inherit;-webkit-flex-wrap:inherit;align-items:center;-webkit-align-items:center;justify-content:space-between;-webkit-justify-content:space-between}.navbar-brand{padding-top:var(--bs-navbar-brand-padding-y);padding-bottom:var(--bs-navbar-brand-padding-y);margin-right:var(--bs-navbar-brand-margin-end);font-size:var(--bs-navbar-brand-font-size);color:var(--bs-navbar-brand-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;white-space:nowrap}.navbar-brand:hover,.navbar-brand:focus{color:var(--bs-navbar-brand-hover-color)}.navbar-nav{--bs-nav-link-padding-x: 0;--bs-nav-link-padding-y: .5rem;--bs-nav-link-font-weight: ;--bs-nav-link-color: var(--bs-navbar-color);--bs-nav-link-hover-color: var(--bs-navbar-hover-color);--bs-nav-link-disabled-color: var(--bs-navbar-disabled-color);display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;padding-left:0;margin-bottom:0;list-style:none}.navbar-nav .nav-link.active,.navbar-nav .nav-link.show{color:var(--bs-navbar-active-color)}.navbar-nav .dropdown-menu{position:static}.navbar-text{padding-top:.5rem;padding-bottom:.5rem;color:var(--bs-navbar-color)}.navbar-text a,.navbar-text a:hover,.navbar-text a:focus{color:var(--bs-navbar-active-color)}.navbar-collapse{flex-basis:100%;-webkit-flex-basis:100%;flex-grow:1;-webkit-flex-grow:1;align-items:center;-webkit-align-items:center}.navbar-toggler{padding:var(--bs-navbar-toggler-padding-y) var(--bs-navbar-toggler-padding-x);font-size:var(--bs-navbar-toggler-font-size);line-height:1;color:var(--bs-navbar-color);background-color:transparent;border:var(--bs-border-width) solid var(--bs-navbar-toggler-border-color);border-radius:var(--bs-navbar-toggler-border-radius);transition:var(--bs-navbar-toggler-transition)}@media (prefers-reduced-motion: reduce){.navbar-toggler{transition:none}}.navbar-toggler:hover{text-decoration:none}.navbar-toggler:focus{text-decoration:none;outline:0;box-shadow:0 0 0 var(--bs-navbar-toggler-focus-width)}.navbar-toggler-icon{display:inline-block;width:1.5em;height:1.5em;vertical-align:middle;background-image:var(--bs-navbar-toggler-icon-bg);background-repeat:no-repeat;background-position:center;background-size:100%}.navbar-nav-scroll{max-height:var(--bs-scroll-height, 75vh);overflow-y:auto}@media (min-width: 576px){.navbar-expand-sm{flex-wrap:nowrap;-webkit-flex-wrap:nowrap;justify-content:flex-start;-webkit-justify-content:flex-start}.navbar-expand-sm .navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand-sm .navbar-nav .dropdown-menu{position:absolute}.navbar-expand-sm .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand-sm .navbar-nav-scroll{overflow:visible}.navbar-expand-sm .navbar-collapse{display:flex !important;display:-webkit-flex !important;flex-basis:auto;-webkit-flex-basis:auto}.navbar-expand-sm .navbar-toggler{display:none}.navbar-expand-sm .offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:transparent !important;border:0 !important;transform:none !important;transition:none}.navbar-expand-sm .offcanvas .offcanvas-header{display:none}.navbar-expand-sm .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}}@media (min-width: 768px){.navbar-expand-md{flex-wrap:nowrap;-webkit-flex-wrap:nowrap;justify-content:flex-start;-webkit-justify-content:flex-start}.navbar-expand-md .navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand-md .navbar-nav .dropdown-menu{position:absolute}.navbar-expand-md .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand-md .navbar-nav-scroll{overflow:visible}.navbar-expand-md .navbar-collapse{display:flex !important;display:-webkit-flex !important;flex-basis:auto;-webkit-flex-basis:auto}.navbar-expand-md .navbar-toggler{display:none}.navbar-expand-md .offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:transparent !important;border:0 !important;transform:none !important;transition:none}.navbar-expand-md .offcanvas .offcanvas-header{display:none}.navbar-expand-md .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}}@media (min-width: 992px){.navbar-expand-lg{flex-wrap:nowrap;-webkit-flex-wrap:nowrap;justify-content:flex-start;-webkit-justify-content:flex-start}.navbar-expand-lg .navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand-lg .navbar-nav .dropdown-menu{position:absolute}.navbar-expand-lg .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand-lg .navbar-nav-scroll{overflow:visible}.navbar-expand-lg .navbar-collapse{display:flex !important;display:-webkit-flex !important;flex-basis:auto;-webkit-flex-basis:auto}.navbar-expand-lg .navbar-toggler{display:none}.navbar-expand-lg .offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:transparent !important;border:0 !important;transform:none !important;transition:none}.navbar-expand-lg .offcanvas .offcanvas-header{display:none}.navbar-expand-lg .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}}@media (min-width: 1200px){.navbar-expand-xl{flex-wrap:nowrap;-webkit-flex-wrap:nowrap;justify-content:flex-start;-webkit-justify-content:flex-start}.navbar-expand-xl .navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand-xl .navbar-nav .dropdown-menu{position:absolute}.navbar-expand-xl .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand-xl .navbar-nav-scroll{overflow:visible}.navbar-expand-xl .navbar-collapse{display:flex !important;display:-webkit-flex !important;flex-basis:auto;-webkit-flex-basis:auto}.navbar-expand-xl .navbar-toggler{display:none}.navbar-expand-xl .offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:transparent !important;border:0 !important;transform:none !important;transition:none}.navbar-expand-xl .offcanvas .offcanvas-header{display:none}.navbar-expand-xl .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}}@media (min-width: 1400px){.navbar-expand-xxl{flex-wrap:nowrap;-webkit-flex-wrap:nowrap;justify-content:flex-start;-webkit-justify-content:flex-start}.navbar-expand-xxl .navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand-xxl .navbar-nav .dropdown-menu{position:absolute}.navbar-expand-xxl .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand-xxl .navbar-nav-scroll{overflow:visible}.navbar-expand-xxl .navbar-collapse{display:flex !important;display:-webkit-flex !important;flex-basis:auto;-webkit-flex-basis:auto}.navbar-expand-xxl .navbar-toggler{display:none}.navbar-expand-xxl .offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:transparent !important;border:0 !important;transform:none !important;transition:none}.navbar-expand-xxl .offcanvas .offcanvas-header{display:none}.navbar-expand-xxl .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}}.navbar-expand{flex-wrap:nowrap;-webkit-flex-wrap:nowrap;justify-content:flex-start;-webkit-justify-content:flex-start}.navbar-expand .navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand .navbar-nav .dropdown-menu{position:absolute}.navbar-expand .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand .navbar-nav-scroll{overflow:visible}.navbar-expand .navbar-collapse{display:flex !important;display:-webkit-flex !important;flex-basis:auto;-webkit-flex-basis:auto}.navbar-expand .navbar-toggler{display:none}.navbar-expand .offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:transparent !important;border:0 !important;transform:none !important;transition:none}.navbar-expand .offcanvas .offcanvas-header{display:none}.navbar-expand .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}.navbar-dark,.navbar[data-bs-theme="dark"]{--bs-navbar-color: rgba(var(--bs-emphasis-color-rgb), 0.55);--bs-navbar-hover-color: rgba(var(--bs-emphasis-color-rgb), 0.75);--bs-navbar-disabled-color: rgba(var(--bs-emphasis-color-rgb), 0.25);--bs-navbar-active-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-brand-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-brand-hover-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-toggler-border-color: rgba(var(--bs-emphasis-color-rgb), 0.1);--bs-navbar-toggler-icon-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'%3e%3cpath stroke='rgba%28255,255,255,0.75%29' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/%3e%3c/svg%3e")}[data-bs-theme="dark"] .navbar-toggler-icon{--bs-navbar-toggler-icon-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'%3e%3cpath stroke='rgba%28255,255,255,0.75%29' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/%3e%3c/svg%3e")}.card{--bs-card-spacer-y: 1rem;--bs-card-spacer-x: 1rem;--bs-card-title-spacer-y: .5rem;--bs-card-title-color: ;--bs-card-subtitle-color: ;--bs-card-border-width: var(--bs-border-width);--bs-card-border-color: var(--bs-border-color-translucent);--bs-card-border-radius: var(--bs-border-radius);--bs-card-box-shadow: ;--bs-card-inner-border-radius: calc(var(--bs-border-radius) - (var(--bs-border-width)));--bs-card-cap-padding-y: .5rem;--bs-card-cap-padding-x: 1rem;--bs-card-cap-bg: rgba(var(--bs-body-color-rgb), 0.03);--bs-card-cap-color: ;--bs-card-height: ;--bs-card-color: ;--bs-card-bg: var(--bs-body-bg);--bs-card-img-overlay-padding: 1rem;--bs-card-group-margin: .75rem;position:relative;display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;min-width:0;height:var(--bs-card-height);color:var(--bs-body-color);word-wrap:break-word;background-color:var(--bs-card-bg);background-clip:border-box;border:var(--bs-card-border-width) solid var(--bs-card-border-color);border-radius:var(--bs-card-border-radius)}.card>hr{margin-right:0;margin-left:0}.card>.list-group{border-top:inherit;border-bottom:inherit}.card>.list-group:first-child{border-top-width:0;border-top-left-radius:var(--bs-card-inner-border-radius);border-top-right-radius:var(--bs-card-inner-border-radius)}.card>.list-group:last-child{border-bottom-width:0;border-bottom-right-radius:var(--bs-card-inner-border-radius);border-bottom-left-radius:var(--bs-card-inner-border-radius)}.card>.card-header+.list-group,.card>.list-group+.card-footer{border-top:0}.card-body{flex:1 1 auto;-webkit-flex:1 1 auto;padding:var(--bs-card-spacer-y) var(--bs-card-spacer-x);color:var(--bs-card-color)}.card-title{margin-bottom:var(--bs-card-title-spacer-y);color:var(--bs-card-title-color)}.card-subtitle{margin-top:calc(-.5 * var(--bs-card-title-spacer-y));margin-bottom:0;color:var(--bs-card-subtitle-color)}.card-text:last-child{margin-bottom:0}.card-link+.card-link{margin-left:var(--bs-card-spacer-x)}.card-header{padding:var(--bs-card-cap-padding-y) var(--bs-card-cap-padding-x);margin-bottom:0;color:var(--bs-card-cap-color);background-color:var(--bs-card-cap-bg);border-bottom:var(--bs-card-border-width) solid var(--bs-card-border-color)}.card-header:first-child{border-radius:var(--bs-card-inner-border-radius) var(--bs-card-inner-border-radius) 0 0}.card-footer{padding:var(--bs-card-cap-padding-y) var(--bs-card-cap-padding-x);color:var(--bs-card-cap-color);background-color:var(--bs-card-cap-bg);border-top:var(--bs-card-border-width) solid var(--bs-card-border-color)}.card-footer:last-child{border-radius:0 0 var(--bs-card-inner-border-radius) var(--bs-card-inner-border-radius)}.card-header-tabs{margin-right:calc(-.5 * var(--bs-card-cap-padding-x));margin-bottom:calc(-1 * var(--bs-card-cap-padding-y));margin-left:calc(-.5 * var(--bs-card-cap-padding-x));border-bottom:0}.card-header-tabs .nav-link.active{background-color:var(--bs-card-bg);border-bottom-color:var(--bs-card-bg)}.card-header-pills{margin-right:calc(-.5 * var(--bs-card-cap-padding-x));margin-left:calc(-.5 * var(--bs-card-cap-padding-x))}.card-img-overlay{position:absolute;top:0;right:0;bottom:0;left:0;padding:var(--bs-card-img-overlay-padding);border-radius:var(--bs-card-inner-border-radius)}.card-img,.card-img-top,.card-img-bottom{width:100%}.card-img,.card-img-top{border-top-left-radius:var(--bs-card-inner-border-radius);border-top-right-radius:var(--bs-card-inner-border-radius)}.card-img,.card-img-bottom{border-bottom-right-radius:var(--bs-card-inner-border-radius);border-bottom-left-radius:var(--bs-card-inner-border-radius)}.card-group>.card{margin-bottom:var(--bs-card-group-margin)}@media (min-width: 576px){.card-group{display:flex;display:-webkit-flex;flex-flow:row wrap;-webkit-flex-flow:row wrap}.card-group>.card{flex:1 0 0%;-webkit-flex:1 0 0%;margin-bottom:0}.card-group>.card+.card{margin-left:0;border-left:0}.card-group>.card:not(:last-child){border-top-right-radius:0;border-bottom-right-radius:0}.card-group>.card:not(:last-child) .card-img-top,.card-group>.card:not(:last-child) .card-header{border-top-right-radius:0}.card-group>.card:not(:last-child) .card-img-bottom,.card-group>.card:not(:last-child) .card-footer{border-bottom-right-radius:0}.card-group>.card:not(:first-child){border-top-left-radius:0;border-bottom-left-radius:0}.card-group>.card:not(:first-child) .card-img-top,.card-group>.card:not(:first-child) .card-header{border-top-left-radius:0}.card-group>.card:not(:first-child) .card-img-bottom,.card-group>.card:not(:first-child) .card-footer{border-bottom-left-radius:0}}.accordion{--bs-accordion-color: var(--bs-body-color);--bs-accordion-bg: var(--bs-body-bg);--bs-accordion-transition: color 0.15s ease-in-out,background-color 0.15s ease-in-out,border-color 0.15s ease-in-out,box-shadow 0.15s ease-in-out,border-radius 0.15s ease;--bs-accordion-border-color: var(--bs-border-color);--bs-accordion-border-width: var(--bs-border-width);--bs-accordion-border-radius: var(--bs-border-radius);--bs-accordion-inner-border-radius: calc(var(--bs-border-radius) - (var(--bs-border-width)));--bs-accordion-btn-padding-x: 1.25rem;--bs-accordion-btn-padding-y: 1rem;--bs-accordion-btn-color: var(--bs-body-color);--bs-accordion-btn-bg: var(--bs-accordion-bg);--bs-accordion-btn-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23212529'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e");--bs-accordion-btn-icon-width: 1.25rem;--bs-accordion-btn-icon-transform: rotate(-180deg);--bs-accordion-btn-icon-transition: transform 0.2s ease-in-out;--bs-accordion-btn-active-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23052c65'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e");--bs-accordion-btn-focus-border-color: #86b7fe;--bs-accordion-btn-focus-box-shadow: 0 0 0 .25rem rgba(13,110,253,0.25);--bs-accordion-body-padding-x: 1.25rem;--bs-accordion-body-padding-y: 1rem;--bs-accordion-active-color: var(--bs-primary-text-emphasis);--bs-accordion-active-bg: var(--bs-primary-bg-subtle)}.accordion-button{position:relative;display:flex;display:-webkit-flex;align-items:center;-webkit-align-items:center;width:100%;padding:var(--bs-accordion-btn-padding-y) var(--bs-accordion-btn-padding-x);font-size:1rem;color:var(--bs-accordion-btn-color);text-align:left;background-color:var(--bs-accordion-btn-bg);border:0;border-radius:0;overflow-anchor:none;transition:var(--bs-accordion-transition)}@media (prefers-reduced-motion: reduce){.accordion-button{transition:none}}.accordion-button:not(.collapsed){color:var(--bs-accordion-active-color);background-color:var(--bs-accordion-active-bg);box-shadow:inset 0 calc(-1 * var(--bs-accordion-border-width)) 0 var(--bs-accordion-border-color)}.accordion-button:not(.collapsed)::after{background-image:var(--bs-accordion-btn-active-icon);transform:var(--bs-accordion-btn-icon-transform)}.accordion-button::after{flex-shrink:0;-webkit-flex-shrink:0;width:var(--bs-accordion-btn-icon-width);height:var(--bs-accordion-btn-icon-width);margin-left:auto;content:"";background-image:var(--bs-accordion-btn-icon);background-repeat:no-repeat;background-size:var(--bs-accordion-btn-icon-width);transition:var(--bs-accordion-btn-icon-transition)}@media (prefers-reduced-motion: reduce){.accordion-button::after{transition:none}}.accordion-button:hover{z-index:2}.accordion-button:focus{z-index:3;border-color:var(--bs-accordion-btn-focus-border-color);outline:0;box-shadow:var(--bs-accordion-btn-focus-box-shadow)}.accordion-header{margin-bottom:0}.accordion-item{color:var(--bs-accordion-color);background-color:var(--bs-accordion-bg);border:var(--bs-accordion-border-width) solid var(--bs-accordion-border-color)}.accordion-item:first-of-type{border-top-left-radius:var(--bs-accordion-border-radius);border-top-right-radius:var(--bs-accordion-border-radius)}.accordion-item:first-of-type .accordion-button{border-top-left-radius:var(--bs-accordion-inner-border-radius);border-top-right-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:not(:first-of-type){border-top:0}.accordion-item:last-of-type{border-bottom-right-radius:var(--bs-accordion-border-radius);border-bottom-left-radius:var(--bs-accordion-border-radius)}.accordion-item:last-of-type .accordion-button.collapsed{border-bottom-right-radius:var(--bs-accordion-inner-border-radius);border-bottom-left-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:last-of-type .accordion-collapse{border-bottom-right-radius:var(--bs-accordion-border-radius);border-bottom-left-radius:var(--bs-accordion-border-radius)}.accordion-body{padding:var(--bs-accordion-body-padding-y) var(--bs-accordion-body-padding-x)}.accordion-flush .accordion-collapse{border-width:0}.accordion-flush .accordion-item{border-right:0;border-left:0;border-radius:0}.accordion-flush .accordion-item:first-child{border-top:0}.accordion-flush .accordion-item:last-child{border-bottom:0}.accordion-flush .accordion-item .accordion-button,.accordion-flush .accordion-item .accordion-button.collapsed{border-radius:0}[data-bs-theme="dark"] .accordion-button::after{--bs-accordion-btn-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%236ea8fe'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e");--bs-accordion-btn-active-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%236ea8fe'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e")}.breadcrumb{--bs-breadcrumb-padding-x: 0;--bs-breadcrumb-padding-y: 0;--bs-breadcrumb-margin-bottom: 1rem;--bs-breadcrumb-bg: ;--bs-breadcrumb-border-radius: ;--bs-breadcrumb-divider-color: var(--bs-secondary-color);--bs-breadcrumb-item-padding-x: .5rem;--bs-breadcrumb-item-active-color: var(--bs-secondary-color);display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;padding:var(--bs-breadcrumb-padding-y) var(--bs-breadcrumb-padding-x);margin-bottom:var(--bs-breadcrumb-margin-bottom);font-size:var(--bs-breadcrumb-font-size);list-style:none;background-color:var(--bs-breadcrumb-bg);border-radius:var(--bs-breadcrumb-border-radius)}.breadcrumb-item+.breadcrumb-item{padding-left:var(--bs-breadcrumb-item-padding-x)}.breadcrumb-item+.breadcrumb-item::before{float:left;padding-right:var(--bs-breadcrumb-item-padding-x);color:var(--bs-breadcrumb-divider-color);content:var(--bs-breadcrumb-divider, "/") /* rtl: var(--bs-breadcrumb-divider, "/") */}.breadcrumb-item.active{color:var(--bs-breadcrumb-item-active-color)}.pagination{--bs-pagination-padding-x: .75rem;--bs-pagination-padding-y: .375rem;--bs-pagination-font-size:1rem;--bs-pagination-color: var(--bs-link-color);--bs-pagination-bg: var(--bs-body-bg);--bs-pagination-border-width: var(--bs-border-width);--bs-pagination-border-color: var(--bs-border-color);--bs-pagination-border-radius: var(--bs-border-radius);--bs-pagination-hover-color: var(--bs-link-hover-color);--bs-pagination-hover-bg: var(--bs-tertiary-bg);--bs-pagination-hover-border-color: var(--bs-border-color);--bs-pagination-focus-color: var(--bs-link-hover-color);--bs-pagination-focus-bg: var(--bs-secondary-bg);--bs-pagination-focus-box-shadow: 0 0 0 .25rem rgba(13,110,253,0.25);--bs-pagination-active-color: #fff;--bs-pagination-active-bg: #0d6efd;--bs-pagination-active-border-color: #0d6efd;--bs-pagination-disabled-color: var(--bs-secondary-color);--bs-pagination-disabled-bg: var(--bs-secondary-bg);--bs-pagination-disabled-border-color: var(--bs-border-color);display:flex;display:-webkit-flex;padding-left:0;list-style:none}.page-link{position:relative;display:block;padding:var(--bs-pagination-padding-y) var(--bs-pagination-padding-x);font-size:var(--bs-pagination-font-size);color:var(--bs-pagination-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background-color:var(--bs-pagination-bg);border:var(--bs-pagination-border-width) solid var(--bs-pagination-border-color);transition:color 0.15s ease-in-out,background-color 0.15s ease-in-out,border-color 0.15s ease-in-out,box-shadow 0.15s ease-in-out}@media (prefers-reduced-motion: reduce){.page-link{transition:none}}.page-link:hover{z-index:2;color:var(--bs-pagination-hover-color);background-color:var(--bs-pagination-hover-bg);border-color:var(--bs-pagination-hover-border-color)}.page-link:focus{z-index:3;color:var(--bs-pagination-focus-color);background-color:var(--bs-pagination-focus-bg);outline:0;box-shadow:var(--bs-pagination-focus-box-shadow)}.page-link.active,.active>.page-link{z-index:3;color:var(--bs-pagination-active-color);background-color:var(--bs-pagination-active-bg);border-color:var(--bs-pagination-active-border-color)}.page-link.disabled,.disabled>.page-link{color:var(--bs-pagination-disabled-color);pointer-events:none;background-color:var(--bs-pagination-disabled-bg);border-color:var(--bs-pagination-disabled-border-color)}.page-item:not(:first-child) .page-link{margin-left:calc(var(--bs-border-width) * -1)}.page-item:first-child .page-link{border-top-left-radius:var(--bs-pagination-border-radius);border-bottom-left-radius:var(--bs-pagination-border-radius)}.page-item:last-child .page-link{border-top-right-radius:var(--bs-pagination-border-radius);border-bottom-right-radius:var(--bs-pagination-border-radius)}.pagination-lg{--bs-pagination-padding-x: 1.5rem;--bs-pagination-padding-y: .75rem;--bs-pagination-font-size:1.25rem;--bs-pagination-border-radius: var(--bs-border-radius-lg)}.pagination-sm{--bs-pagination-padding-x: .5rem;--bs-pagination-padding-y: .25rem;--bs-pagination-font-size:.875rem;--bs-pagination-border-radius: var(--bs-border-radius-sm)}.badge{--bs-badge-padding-x: .65em;--bs-badge-padding-y: .35em;--bs-badge-font-size:.75em;--bs-badge-font-weight: 700;--bs-badge-color: #fff;--bs-badge-border-radius: var(--bs-border-radius);display:inline-block;padding:var(--bs-badge-padding-y) var(--bs-badge-padding-x);font-size:var(--bs-badge-font-size);font-weight:var(--bs-badge-font-weight);line-height:1;color:var(--bs-badge-color);text-align:center;white-space:nowrap;vertical-align:baseline;border-radius:var(--bs-badge-border-radius)}.badge:empty{display:none}.btn .badge{position:relative;top:-1px}.alert{--bs-alert-bg: transparent;--bs-alert-padding-x: 1rem;--bs-alert-padding-y: 1rem;--bs-alert-margin-bottom: 1rem;--bs-alert-color: inherit;--bs-alert-border-color: transparent;--bs-alert-border: var(--bs-border-width) solid var(--bs-alert-border-color);--bs-alert-border-radius: var(--bs-border-radius);--bs-alert-link-color: inherit;position:relative;padding:var(--bs-alert-padding-y) var(--bs-alert-padding-x);margin-bottom:var(--bs-alert-margin-bottom);color:var(--bs-alert-color);background-color:var(--bs-alert-bg);border:var(--bs-alert-border);border-radius:var(--bs-alert-border-radius)}.alert-heading{color:inherit}.alert-link{font-weight:700;color:var(--bs-alert-link-color)}.alert-dismissible{padding-right:3rem}.alert-dismissible .btn-close{position:absolute;top:0;right:0;z-index:2;padding:1.25rem 1rem}.alert-default{--bs-alert-color: var(--bs-default-text-emphasis);--bs-alert-bg: var(--bs-default-bg-subtle);--bs-alert-border-color: var(--bs-default-border-subtle);--bs-alert-link-color: var(--bs-default-text-emphasis)}.alert-primary{--bs-alert-color: var(--bs-primary-text-emphasis);--bs-alert-bg: var(--bs-primary-bg-subtle);--bs-alert-border-color: var(--bs-primary-border-subtle);--bs-alert-link-color: var(--bs-primary-text-emphasis)}.alert-secondary{--bs-alert-color: var(--bs-secondary-text-emphasis);--bs-alert-bg: var(--bs-secondary-bg-subtle);--bs-alert-border-color: var(--bs-secondary-border-subtle);--bs-alert-link-color: var(--bs-secondary-text-emphasis)}.alert-success{--bs-alert-color: var(--bs-success-text-emphasis);--bs-alert-bg: var(--bs-success-bg-subtle);--bs-alert-border-color: var(--bs-success-border-subtle);--bs-alert-link-color: var(--bs-success-text-emphasis)}.alert-info{--bs-alert-color: var(--bs-info-text-emphasis);--bs-alert-bg: var(--bs-info-bg-subtle);--bs-alert-border-color: var(--bs-info-border-subtle);--bs-alert-link-color: var(--bs-info-text-emphasis)}.alert-warning{--bs-alert-color: var(--bs-warning-text-emphasis);--bs-alert-bg: var(--bs-warning-bg-subtle);--bs-alert-border-color: var(--bs-warning-border-subtle);--bs-alert-link-color: var(--bs-warning-text-emphasis)}.alert-danger{--bs-alert-color: var(--bs-danger-text-emphasis);--bs-alert-bg: var(--bs-danger-bg-subtle);--bs-alert-border-color: var(--bs-danger-border-subtle);--bs-alert-link-color: var(--bs-danger-text-emphasis)}.alert-light{--bs-alert-color: var(--bs-light-text-emphasis);--bs-alert-bg: var(--bs-light-bg-subtle);--bs-alert-border-color: var(--bs-light-border-subtle);--bs-alert-link-color: var(--bs-light-text-emphasis)}.alert-dark{--bs-alert-color: var(--bs-dark-text-emphasis);--bs-alert-bg: var(--bs-dark-bg-subtle);--bs-alert-border-color: var(--bs-dark-border-subtle);--bs-alert-link-color: var(--bs-dark-text-emphasis)}@keyframes progress-bar-stripes{0%{background-position-x:1rem}}.progress,.progress-stacked{--bs-progress-height: 1rem;--bs-progress-font-size:.75rem;--bs-progress-bg: var(--bs-secondary-bg);--bs-progress-border-radius: var(--bs-border-radius);--bs-progress-box-shadow: var(--bs-box-shadow-inset);--bs-progress-bar-color: #fff;--bs-progress-bar-bg: #0d6efd;--bs-progress-bar-transition: width 0.6s ease;display:flex;display:-webkit-flex;height:var(--bs-progress-height);overflow:hidden;font-size:var(--bs-progress-font-size);background-color:var(--bs-progress-bg);border-radius:var(--bs-progress-border-radius)}.progress-bar{display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;justify-content:center;-webkit-justify-content:center;overflow:hidden;color:var(--bs-progress-bar-color);text-align:center;white-space:nowrap;background-color:var(--bs-progress-bar-bg);transition:var(--bs-progress-bar-transition)}@media (prefers-reduced-motion: reduce){.progress-bar{transition:none}}.progress-bar-striped{background-image:linear-gradient(45deg, rgba(255,255,255,0.15) 25%, transparent 25%, transparent 50%, rgba(255,255,255,0.15) 50%, rgba(255,255,255,0.15) 75%, transparent 75%, transparent);background-size:var(--bs-progress-height) var(--bs-progress-height)}.progress-stacked>.progress{overflow:visible}.progress-stacked>.progress>.progress-bar{width:100%}.progress-bar-animated{animation:1s linear infinite progress-bar-stripes}@media (prefers-reduced-motion: reduce){.progress-bar-animated{animation:none}}.list-group{--bs-list-group-color: var(--bs-body-color);--bs-list-group-bg: var(--bs-body-bg);--bs-list-group-border-color: var(--bs-border-color);--bs-list-group-border-width: var(--bs-border-width);--bs-list-group-border-radius: var(--bs-border-radius);--bs-list-group-item-padding-x: 1rem;--bs-list-group-item-padding-y: .5rem;--bs-list-group-action-color: var(--bs-secondary-color);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-tertiary-bg);--bs-list-group-action-active-color: var(--bs-body-color);--bs-list-group-action-active-bg: var(--bs-secondary-bg);--bs-list-group-disabled-color: var(--bs-secondary-color);--bs-list-group-disabled-bg: var(--bs-body-bg);--bs-list-group-active-color: #fff;--bs-list-group-active-bg: #0d6efd;--bs-list-group-active-border-color: #0d6efd;display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;padding-left:0;margin-bottom:0;border-radius:var(--bs-list-group-border-radius)}.list-group-numbered{list-style-type:none;counter-reset:section}.list-group-numbered>.list-group-item::before{content:counters(section, ".") ". ";counter-increment:section}.list-group-item-action{width:100%;color:var(--bs-list-group-action-color);text-align:inherit}.list-group-item-action:hover,.list-group-item-action:focus{z-index:1;color:var(--bs-list-group-action-hover-color);text-decoration:none;background-color:var(--bs-list-group-action-hover-bg)}.list-group-item-action:active{color:var(--bs-list-group-action-active-color);background-color:var(--bs-list-group-action-active-bg)}.list-group-item{position:relative;display:block;padding:var(--bs-list-group-item-padding-y) var(--bs-list-group-item-padding-x);color:var(--bs-list-group-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background-color:var(--bs-list-group-bg);border:var(--bs-list-group-border-width) solid var(--bs-list-group-border-color)}.list-group-item:first-child{border-top-left-radius:inherit;border-top-right-radius:inherit}.list-group-item:last-child{border-bottom-right-radius:inherit;border-bottom-left-radius:inherit}.list-group-item.disabled,.list-group-item:disabled{color:var(--bs-list-group-disabled-color);pointer-events:none;background-color:var(--bs-list-group-disabled-bg)}.list-group-item.active{z-index:2;color:var(--bs-list-group-active-color);background-color:var(--bs-list-group-active-bg);border-color:var(--bs-list-group-active-border-color)}.list-group-item+.list-group-item{border-top-width:0}.list-group-item+.list-group-item.active{margin-top:calc(-1 * var(--bs-list-group-border-width));border-top-width:var(--bs-list-group-border-width)}.list-group-horizontal{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal>.list-group-item.active{margin-top:0}.list-group-horizontal>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}@media (min-width: 576px){.list-group-horizontal-sm{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-sm>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-sm>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-sm>.list-group-item.active{margin-top:0}.list-group-horizontal-sm>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-sm>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 768px){.list-group-horizontal-md{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-md>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-md>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-md>.list-group-item.active{margin-top:0}.list-group-horizontal-md>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-md>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 992px){.list-group-horizontal-lg{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-lg>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-lg>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-lg>.list-group-item.active{margin-top:0}.list-group-horizontal-lg>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-lg>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 1200px){.list-group-horizontal-xl{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-xl>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-xl>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-xl>.list-group-item.active{margin-top:0}.list-group-horizontal-xl>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-xl>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 1400px){.list-group-horizontal-xxl{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-xxl>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-xxl>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-xxl>.list-group-item.active{margin-top:0}.list-group-horizontal-xxl>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-xxl>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}.list-group-flush{border-radius:0}.list-group-flush>.list-group-item{border-width:0 0 var(--bs-list-group-border-width)}.list-group-flush>.list-group-item:last-child{border-bottom-width:0}.list-group-item-default{--bs-list-group-color: var(--bs-default-text-emphasis);--bs-list-group-bg: var(--bs-default-bg-subtle);--bs-list-group-border-color: var(--bs-default-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-default-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-default-border-subtle);--bs-list-group-active-color: var(--bs-default-bg-subtle);--bs-list-group-active-bg: var(--bs-default-text-emphasis);--bs-list-group-active-border-color: var(--bs-default-text-emphasis)}.list-group-item-primary{--bs-list-group-color: var(--bs-primary-text-emphasis);--bs-list-group-bg: var(--bs-primary-bg-subtle);--bs-list-group-border-color: var(--bs-primary-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-primary-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-primary-border-subtle);--bs-list-group-active-color: var(--bs-primary-bg-subtle);--bs-list-group-active-bg: var(--bs-primary-text-emphasis);--bs-list-group-active-border-color: var(--bs-primary-text-emphasis)}.list-group-item-secondary{--bs-list-group-color: var(--bs-secondary-text-emphasis);--bs-list-group-bg: var(--bs-secondary-bg-subtle);--bs-list-group-border-color: var(--bs-secondary-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-secondary-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-secondary-border-subtle);--bs-list-group-active-color: var(--bs-secondary-bg-subtle);--bs-list-group-active-bg: var(--bs-secondary-text-emphasis);--bs-list-group-active-border-color: var(--bs-secondary-text-emphasis)}.list-group-item-success{--bs-list-group-color: var(--bs-success-text-emphasis);--bs-list-group-bg: var(--bs-success-bg-subtle);--bs-list-group-border-color: var(--bs-success-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-success-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-success-border-subtle);--bs-list-group-active-color: var(--bs-success-bg-subtle);--bs-list-group-active-bg: var(--bs-success-text-emphasis);--bs-list-group-active-border-color: var(--bs-success-text-emphasis)}.list-group-item-info{--bs-list-group-color: var(--bs-info-text-emphasis);--bs-list-group-bg: var(--bs-info-bg-subtle);--bs-list-group-border-color: var(--bs-info-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-info-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-info-border-subtle);--bs-list-group-active-color: var(--bs-info-bg-subtle);--bs-list-group-active-bg: var(--bs-info-text-emphasis);--bs-list-group-active-border-color: var(--bs-info-text-emphasis)}.list-group-item-warning{--bs-list-group-color: var(--bs-warning-text-emphasis);--bs-list-group-bg: var(--bs-warning-bg-subtle);--bs-list-group-border-color: var(--bs-warning-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-warning-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-warning-border-subtle);--bs-list-group-active-color: var(--bs-warning-bg-subtle);--bs-list-group-active-bg: var(--bs-warning-text-emphasis);--bs-list-group-active-border-color: var(--bs-warning-text-emphasis)}.list-group-item-danger{--bs-list-group-color: var(--bs-danger-text-emphasis);--bs-list-group-bg: var(--bs-danger-bg-subtle);--bs-list-group-border-color: var(--bs-danger-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-danger-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-danger-border-subtle);--bs-list-group-active-color: var(--bs-danger-bg-subtle);--bs-list-group-active-bg: var(--bs-danger-text-emphasis);--bs-list-group-active-border-color: var(--bs-danger-text-emphasis)}.list-group-item-light{--bs-list-group-color: var(--bs-light-text-emphasis);--bs-list-group-bg: var(--bs-light-bg-subtle);--bs-list-group-border-color: var(--bs-light-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-light-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-light-border-subtle);--bs-list-group-active-color: var(--bs-light-bg-subtle);--bs-list-group-active-bg: var(--bs-light-text-emphasis);--bs-list-group-active-border-color: var(--bs-light-text-emphasis)}.list-group-item-dark{--bs-list-group-color: var(--bs-dark-text-emphasis);--bs-list-group-bg: var(--bs-dark-bg-subtle);--bs-list-group-border-color: var(--bs-dark-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-dark-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-dark-border-subtle);--bs-list-group-active-color: var(--bs-dark-bg-subtle);--bs-list-group-active-bg: var(--bs-dark-text-emphasis);--bs-list-group-active-border-color: var(--bs-dark-text-emphasis)}.btn-close{--bs-btn-close-color: #000;--bs-btn-close-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23000'%3e%3cpath d='M.293.293a1 1 0 0 1 1.414 0L8 6.586 14.293.293a1 1 0 1 1 1.414 1.414L9.414 8l6.293 6.293a1 1 0 0 1-1.414 1.414L8 9.414l-6.293 6.293a1 1 0 0 1-1.414-1.414L6.586 8 .293 1.707a1 1 0 0 1 0-1.414z'/%3e%3c/svg%3e");--bs-btn-close-opacity: .5;--bs-btn-close-hover-opacity: .75;--bs-btn-close-focus-shadow: 0 0 0 .25rem rgba(13,110,253,0.25);--bs-btn-close-focus-opacity: 1;--bs-btn-close-disabled-opacity: .25;--bs-btn-close-white-filter: invert(1) grayscale(100%) brightness(200%);box-sizing:content-box;width:1em;height:1em;padding:.25em .25em;color:var(--bs-btn-close-color);background:transparent var(--bs-btn-close-bg) center/1em auto no-repeat;border:0;border-radius:.375rem;opacity:var(--bs-btn-close-opacity)}.btn-close:hover{color:var(--bs-btn-close-color);text-decoration:none;opacity:var(--bs-btn-close-hover-opacity)}.btn-close:focus{outline:0;box-shadow:var(--bs-btn-close-focus-shadow);opacity:var(--bs-btn-close-focus-opacity)}.btn-close:disabled,.btn-close.disabled{pointer-events:none;user-select:none;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;-o-user-select:none;opacity:var(--bs-btn-close-disabled-opacity)}.btn-close-white{filter:var(--bs-btn-close-white-filter)}[data-bs-theme="dark"] .btn-close{filter:var(--bs-btn-close-white-filter)}.toast{--bs-toast-zindex: 1090;--bs-toast-padding-x: .75rem;--bs-toast-padding-y: .5rem;--bs-toast-spacing: 1.5rem;--bs-toast-max-width: 350px;--bs-toast-font-size:.875rem;--bs-toast-color: ;--bs-toast-bg: rgba(var(--bs-body-bg-rgb), 0.85);--bs-toast-border-width: var(--bs-border-width);--bs-toast-border-color: var(--bs-border-color-translucent);--bs-toast-border-radius: var(--bs-border-radius);--bs-toast-box-shadow: var(--bs-box-shadow);--bs-toast-header-color: var(--bs-secondary-color);--bs-toast-header-bg: rgba(var(--bs-body-bg-rgb), 0.85);--bs-toast-header-border-color: var(--bs-border-color-translucent);width:var(--bs-toast-max-width);max-width:100%;font-size:var(--bs-toast-font-size);color:var(--bs-toast-color);pointer-events:auto;background-color:var(--bs-toast-bg);background-clip:padding-box;border:var(--bs-toast-border-width) solid var(--bs-toast-border-color);box-shadow:var(--bs-toast-box-shadow);border-radius:var(--bs-toast-border-radius)}.toast.showing{opacity:0}.toast:not(.show){display:none}.toast-container{--bs-toast-zindex: 1090;position:absolute;z-index:var(--bs-toast-zindex);width:max-content;width:-webkit-max-content;width:-moz-max-content;width:-ms-max-content;width:-o-max-content;max-width:100%;pointer-events:none}.toast-container>:not(:last-child){margin-bottom:var(--bs-toast-spacing)}.toast-header{display:flex;display:-webkit-flex;align-items:center;-webkit-align-items:center;padding:var(--bs-toast-padding-y) var(--bs-toast-padding-x);color:var(--bs-toast-header-color);background-color:var(--bs-toast-header-bg);background-clip:padding-box;border-bottom:var(--bs-toast-border-width) solid var(--bs-toast-header-border-color);border-top-left-radius:calc(var(--bs-toast-border-radius) - var(--bs-toast-border-width));border-top-right-radius:calc(var(--bs-toast-border-radius) - var(--bs-toast-border-width))}.toast-header .btn-close{margin-right:calc(-.5 * var(--bs-toast-padding-x));margin-left:var(--bs-toast-padding-x)}.toast-body{padding:var(--bs-toast-padding-x);word-wrap:break-word}.modal{--bs-modal-zindex: 1055;--bs-modal-width: 500px;--bs-modal-padding: 1rem;--bs-modal-margin: .5rem;--bs-modal-color: ;--bs-modal-bg: var(--bs-body-bg);--bs-modal-border-color: var(--bs-border-color-translucent);--bs-modal-border-width: var(--bs-border-width);--bs-modal-border-radius: var(--bs-border-radius-lg);--bs-modal-box-shadow: 0 0.125rem 0.25rem rgba(0,0,0,0.075);--bs-modal-inner-border-radius: calc(var(--bs-border-radius-lg) - (var(--bs-border-width)));--bs-modal-header-padding-x: 1rem;--bs-modal-header-padding-y: 1rem;--bs-modal-header-padding: 1rem 1rem;--bs-modal-header-border-color: var(--bs-border-color);--bs-modal-header-border-width: var(--bs-border-width);--bs-modal-title-line-height: 1.5;--bs-modal-footer-gap: .5rem;--bs-modal-footer-bg: ;--bs-modal-footer-border-color: var(--bs-border-color);--bs-modal-footer-border-width: var(--bs-border-width);position:fixed;top:0;left:0;z-index:var(--bs-modal-zindex);display:none;width:100%;height:100%;overflow-x:hidden;overflow-y:auto;outline:0}.modal-dialog{position:relative;width:auto;margin:var(--bs-modal-margin);pointer-events:none}.modal.fade .modal-dialog{transition:transform 0.3s ease-out;transform:translate(0, -50px)}@media (prefers-reduced-motion: reduce){.modal.fade .modal-dialog{transition:none}}.modal.show .modal-dialog{transform:none}.modal.modal-static .modal-dialog{transform:scale(1.02)}.modal-dialog-scrollable{height:calc(100% - var(--bs-modal-margin) * 2)}.modal-dialog-scrollable .modal-content{max-height:100%;overflow:hidden}.modal-dialog-scrollable .modal-body{overflow-y:auto}.modal-dialog-centered{display:flex;display:-webkit-flex;align-items:center;-webkit-align-items:center;min-height:calc(100% - var(--bs-modal-margin) * 2)}.modal-content{position:relative;display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;width:100%;color:var(--bs-modal-color);pointer-events:auto;background-color:var(--bs-modal-bg);background-clip:padding-box;border:var(--bs-modal-border-width) solid var(--bs-modal-border-color);border-radius:var(--bs-modal-border-radius);outline:0}.modal-backdrop{--bs-backdrop-zindex: 1050;--bs-backdrop-bg: #000;--bs-backdrop-opacity: .5;position:fixed;top:0;left:0;z-index:var(--bs-backdrop-zindex);width:100vw;height:100vh;background-color:var(--bs-backdrop-bg)}.modal-backdrop.fade{opacity:0}.modal-backdrop.show{opacity:var(--bs-backdrop-opacity)}.modal-header{display:flex;display:-webkit-flex;flex-shrink:0;-webkit-flex-shrink:0;align-items:center;-webkit-align-items:center;justify-content:space-between;-webkit-justify-content:space-between;padding:var(--bs-modal-header-padding);border-bottom:var(--bs-modal-header-border-width) solid var(--bs-modal-header-border-color);border-top-left-radius:var(--bs-modal-inner-border-radius);border-top-right-radius:var(--bs-modal-inner-border-radius)}.modal-header .btn-close{padding:calc(var(--bs-modal-header-padding-y) * .5) calc(var(--bs-modal-header-padding-x) * .5);margin:calc(-.5 * var(--bs-modal-header-padding-y)) calc(-.5 * var(--bs-modal-header-padding-x)) calc(-.5 * var(--bs-modal-header-padding-y)) auto}.modal-title{margin-bottom:0;line-height:var(--bs-modal-title-line-height)}.modal-body{position:relative;flex:1 1 auto;-webkit-flex:1 1 auto;padding:var(--bs-modal-padding)}.modal-footer{display:flex;display:-webkit-flex;flex-shrink:0;-webkit-flex-shrink:0;flex-wrap:wrap;-webkit-flex-wrap:wrap;align-items:center;-webkit-align-items:center;justify-content:flex-end;-webkit-justify-content:flex-end;padding:calc(var(--bs-modal-padding) - var(--bs-modal-footer-gap) * .5);background-color:var(--bs-modal-footer-bg);border-top:var(--bs-modal-footer-border-width) solid var(--bs-modal-footer-border-color);border-bottom-right-radius:var(--bs-modal-inner-border-radius);border-bottom-left-radius:var(--bs-modal-inner-border-radius)}.modal-footer>*{margin:calc(var(--bs-modal-footer-gap) * .5)}@media (min-width: 576px){.modal{--bs-modal-margin: 1.75rem;--bs-modal-box-shadow: 0 0.5rem 1rem rgba(0,0,0,0.15)}.modal-dialog{max-width:var(--bs-modal-width);margin-right:auto;margin-left:auto}.modal-sm{--bs-modal-width: 300px}}@media (min-width: 992px){.modal-lg,.modal-xl{--bs-modal-width: 800px}}@media (min-width: 1200px){.modal-xl{--bs-modal-width: 1140px}}.modal-fullscreen{width:100vw;max-width:none;height:100%;margin:0}.modal-fullscreen .modal-content{height:100%;border:0;border-radius:0}.modal-fullscreen .modal-header,.modal-fullscreen .modal-footer{border-radius:0}.modal-fullscreen .modal-body{overflow-y:auto}@media (max-width: 575.98px){.modal-fullscreen-sm-down{width:100vw;max-width:none;height:100%;margin:0}.modal-fullscreen-sm-down .modal-content{height:100%;border:0;border-radius:0}.modal-fullscreen-sm-down .modal-header,.modal-fullscreen-sm-down .modal-footer{border-radius:0}.modal-fullscreen-sm-down .modal-body{overflow-y:auto}}@media (max-width: 767.98px){.modal-fullscreen-md-down{width:100vw;max-width:none;height:100%;margin:0}.modal-fullscreen-md-down .modal-content{height:100%;border:0;border-radius:0}.modal-fullscreen-md-down .modal-header,.modal-fullscreen-md-down .modal-footer{border-radius:0}.modal-fullscreen-md-down .modal-body{overflow-y:auto}}@media (max-width: 991.98px){.modal-fullscreen-lg-down{width:100vw;max-width:none;height:100%;margin:0}.modal-fullscreen-lg-down .modal-content{height:100%;border:0;border-radius:0}.modal-fullscreen-lg-down .modal-header,.modal-fullscreen-lg-down .modal-footer{border-radius:0}.modal-fullscreen-lg-down .modal-body{overflow-y:auto}}@media (max-width: 1199.98px){.modal-fullscreen-xl-down{width:100vw;max-width:none;height:100%;margin:0}.modal-fullscreen-xl-down .modal-content{height:100%;border:0;border-radius:0}.modal-fullscreen-xl-down .modal-header,.modal-fullscreen-xl-down .modal-footer{border-radius:0}.modal-fullscreen-xl-down .modal-body{overflow-y:auto}}@media (max-width: 1399.98px){.modal-fullscreen-xxl-down{width:100vw;max-width:none;height:100%;margin:0}.modal-fullscreen-xxl-down .modal-content{height:100%;border:0;border-radius:0}.modal-fullscreen-xxl-down .modal-header,.modal-fullscreen-xxl-down .modal-footer{border-radius:0}.modal-fullscreen-xxl-down .modal-body{overflow-y:auto}}.tooltip{--bs-tooltip-zindex: 1080;--bs-tooltip-max-width: 200px;--bs-tooltip-padding-x: .5rem;--bs-tooltip-padding-y: .25rem;--bs-tooltip-margin: ;--bs-tooltip-font-size:.875rem;--bs-tooltip-color: var(--bs-body-bg);--bs-tooltip-bg: var(--bs-emphasis-color);--bs-tooltip-border-radius: var(--bs-border-radius);--bs-tooltip-opacity: .9;--bs-tooltip-arrow-width: .8rem;--bs-tooltip-arrow-height: .4rem;z-index:var(--bs-tooltip-zindex);display:block;margin:var(--bs-tooltip-margin);font-family:var(--bs-font-sans-serif);font-style:normal;font-weight:400;line-height:1.5;text-align:left;text-align:start;text-decoration:none;text-shadow:none;text-transform:none;letter-spacing:normal;word-break:normal;white-space:normal;word-spacing:normal;line-break:auto;font-size:var(--bs-tooltip-font-size);word-wrap:break-word;opacity:0}.tooltip.show{opacity:var(--bs-tooltip-opacity)}.tooltip .tooltip-arrow{display:block;width:var(--bs-tooltip-arrow-width);height:var(--bs-tooltip-arrow-height)}.tooltip .tooltip-arrow::before{position:absolute;content:"";border-color:transparent;border-style:solid}.bs-tooltip-top .tooltip-arrow,.bs-tooltip-auto[data-popper-placement^="top"] .tooltip-arrow{bottom:calc(-1 * var(--bs-tooltip-arrow-height))}.bs-tooltip-top .tooltip-arrow::before,.bs-tooltip-auto[data-popper-placement^="top"] .tooltip-arrow::before{top:-1px;border-width:var(--bs-tooltip-arrow-height) calc(var(--bs-tooltip-arrow-width) * .5) 0;border-top-color:var(--bs-tooltip-bg)}.bs-tooltip-end .tooltip-arrow,.bs-tooltip-auto[data-popper-placement^="right"] .tooltip-arrow{left:calc(-1 * var(--bs-tooltip-arrow-height));width:var(--bs-tooltip-arrow-height);height:var(--bs-tooltip-arrow-width)}.bs-tooltip-end .tooltip-arrow::before,.bs-tooltip-auto[data-popper-placement^="right"] .tooltip-arrow::before{right:-1px;border-width:calc(var(--bs-tooltip-arrow-width) * .5) var(--bs-tooltip-arrow-height) calc(var(--bs-tooltip-arrow-width) * .5) 0;border-right-color:var(--bs-tooltip-bg)}.bs-tooltip-bottom .tooltip-arrow,.bs-tooltip-auto[data-popper-placement^="bottom"] .tooltip-arrow{top:calc(-1 * var(--bs-tooltip-arrow-height))}.bs-tooltip-bottom .tooltip-arrow::before,.bs-tooltip-auto[data-popper-placement^="bottom"] .tooltip-arrow::before{bottom:-1px;border-width:0 calc(var(--bs-tooltip-arrow-width) * .5) var(--bs-tooltip-arrow-height);border-bottom-color:var(--bs-tooltip-bg)}.bs-tooltip-start .tooltip-arrow,.bs-tooltip-auto[data-popper-placement^="left"] .tooltip-arrow{right:calc(-1 * var(--bs-tooltip-arrow-height));width:var(--bs-tooltip-arrow-height);height:var(--bs-tooltip-arrow-width)}.bs-tooltip-start .tooltip-arrow::before,.bs-tooltip-auto[data-popper-placement^="left"] .tooltip-arrow::before{left:-1px;border-width:calc(var(--bs-tooltip-arrow-width) * .5) 0 calc(var(--bs-tooltip-arrow-width) * .5) var(--bs-tooltip-arrow-height);border-left-color:var(--bs-tooltip-bg)}.tooltip-inner{max-width:var(--bs-tooltip-max-width);padding:var(--bs-tooltip-padding-y) var(--bs-tooltip-padding-x);color:var(--bs-tooltip-color);text-align:center;background-color:var(--bs-tooltip-bg);border-radius:var(--bs-tooltip-border-radius)}.popover{--bs-popover-zindex: 1070;--bs-popover-max-width: 276px;--bs-popover-font-size:.875rem;--bs-popover-bg: var(--bs-body-bg);--bs-popover-border-width: var(--bs-border-width);--bs-popover-border-color: var(--bs-border-color-translucent);--bs-popover-border-radius: var(--bs-border-radius-lg);--bs-popover-inner-border-radius: calc(var(--bs-border-radius-lg) - var(--bs-border-width));--bs-popover-box-shadow: 0 0.5rem 1rem rgba(0,0,0,0.15);--bs-popover-header-padding-x: 1rem;--bs-popover-header-padding-y: .5rem;--bs-popover-header-font-size:1rem;--bs-popover-header-color: inherit;--bs-popover-header-bg: var(--bs-secondary-bg);--bs-popover-body-padding-x: 1rem;--bs-popover-body-padding-y: 1rem;--bs-popover-body-color: var(--bs-body-color);--bs-popover-arrow-width: 1rem;--bs-popover-arrow-height: .5rem;--bs-popover-arrow-border: var(--bs-popover-border-color);z-index:var(--bs-popover-zindex);display:block;max-width:var(--bs-popover-max-width);font-family:var(--bs-font-sans-serif);font-style:normal;font-weight:400;line-height:1.5;text-align:left;text-align:start;text-decoration:none;text-shadow:none;text-transform:none;letter-spacing:normal;word-break:normal;white-space:normal;word-spacing:normal;line-break:auto;font-size:var(--bs-popover-font-size);word-wrap:break-word;background-color:var(--bs-popover-bg);background-clip:padding-box;border:var(--bs-popover-border-width) solid var(--bs-popover-border-color);border-radius:var(--bs-popover-border-radius)}.popover .popover-arrow{display:block;width:var(--bs-popover-arrow-width);height:var(--bs-popover-arrow-height)}.popover .popover-arrow::before,.popover .popover-arrow::after{position:absolute;display:block;content:"";border-color:transparent;border-style:solid;border-width:0}.bs-popover-top>.popover-arrow,.bs-popover-auto[data-popper-placement^="top"]>.popover-arrow{bottom:calc(-1 * (var(--bs-popover-arrow-height)) - var(--bs-popover-border-width))}.bs-popover-top>.popover-arrow::before,.bs-popover-auto[data-popper-placement^="top"]>.popover-arrow::before,.bs-popover-top>.popover-arrow::after,.bs-popover-auto[data-popper-placement^="top"]>.popover-arrow::after{border-width:var(--bs-popover-arrow-height) calc(var(--bs-popover-arrow-width) * .5) 0}.bs-popover-top>.popover-arrow::before,.bs-popover-auto[data-popper-placement^="top"]>.popover-arrow::before{bottom:0;border-top-color:var(--bs-popover-arrow-border)}.bs-popover-top>.popover-arrow::after,.bs-popover-auto[data-popper-placement^="top"]>.popover-arrow::after{bottom:var(--bs-popover-border-width);border-top-color:var(--bs-popover-bg)}.bs-popover-end>.popover-arrow,.bs-popover-auto[data-popper-placement^="right"]>.popover-arrow{left:calc(-1 * (var(--bs-popover-arrow-height)) - var(--bs-popover-border-width));width:var(--bs-popover-arrow-height);height:var(--bs-popover-arrow-width)}.bs-popover-end>.popover-arrow::before,.bs-popover-auto[data-popper-placement^="right"]>.popover-arrow::before,.bs-popover-end>.popover-arrow::after,.bs-popover-auto[data-popper-placement^="right"]>.popover-arrow::after{border-width:calc(var(--bs-popover-arrow-width) * .5) var(--bs-popover-arrow-height) calc(var(--bs-popover-arrow-width) * .5) 0}.bs-popover-end>.popover-arrow::before,.bs-popover-auto[data-popper-placement^="right"]>.popover-arrow::before{left:0;border-right-color:var(--bs-popover-arrow-border)}.bs-popover-end>.popover-arrow::after,.bs-popover-auto[data-popper-placement^="right"]>.popover-arrow::after{left:var(--bs-popover-border-width);border-right-color:var(--bs-popover-bg)}.bs-popover-bottom>.popover-arrow,.bs-popover-auto[data-popper-placement^="bottom"]>.popover-arrow{top:calc(-1 * (var(--bs-popover-arrow-height)) - var(--bs-popover-border-width))}.bs-popover-bottom>.popover-arrow::before,.bs-popover-auto[data-popper-placement^="bottom"]>.popover-arrow::before,.bs-popover-bottom>.popover-arrow::after,.bs-popover-auto[data-popper-placement^="bottom"]>.popover-arrow::after{border-width:0 calc(var(--bs-popover-arrow-width) * .5) var(--bs-popover-arrow-height)}.bs-popover-bottom>.popover-arrow::before,.bs-popover-auto[data-popper-placement^="bottom"]>.popover-arrow::before{top:0;border-bottom-color:var(--bs-popover-arrow-border)}.bs-popover-bottom>.popover-arrow::after,.bs-popover-auto[data-popper-placement^="bottom"]>.popover-arrow::after{top:var(--bs-popover-border-width);border-bottom-color:var(--bs-popover-bg)}.bs-popover-bottom .popover-header::before,.bs-popover-auto[data-popper-placement^="bottom"] .popover-header::before{position:absolute;top:0;left:50%;display:block;width:var(--bs-popover-arrow-width);margin-left:calc(-.5 * var(--bs-popover-arrow-width));content:"";border-bottom:var(--bs-popover-border-width) solid var(--bs-popover-header-bg)}.bs-popover-start>.popover-arrow,.bs-popover-auto[data-popper-placement^="left"]>.popover-arrow{right:calc(-1 * (var(--bs-popover-arrow-height)) - var(--bs-popover-border-width));width:var(--bs-popover-arrow-height);height:var(--bs-popover-arrow-width)}.bs-popover-start>.popover-arrow::before,.bs-popover-auto[data-popper-placement^="left"]>.popover-arrow::before,.bs-popover-start>.popover-arrow::after,.bs-popover-auto[data-popper-placement^="left"]>.popover-arrow::after{border-width:calc(var(--bs-popover-arrow-width) * .5) 0 calc(var(--bs-popover-arrow-width) * .5) var(--bs-popover-arrow-height)}.bs-popover-start>.popover-arrow::before,.bs-popover-auto[data-popper-placement^="left"]>.popover-arrow::before{right:0;border-left-color:var(--bs-popover-arrow-border)}.bs-popover-start>.popover-arrow::after,.bs-popover-auto[data-popper-placement^="left"]>.popover-arrow::after{right:var(--bs-popover-border-width);border-left-color:var(--bs-popover-bg)}.popover-header{padding:var(--bs-popover-header-padding-y) var(--bs-popover-header-padding-x);margin-bottom:0;font-size:var(--bs-popover-header-font-size);color:var(--bs-popover-header-color);background-color:var(--bs-popover-header-bg);border-bottom:var(--bs-popover-border-width) solid var(--bs-popover-border-color);border-top-left-radius:var(--bs-popover-inner-border-radius);border-top-right-radius:var(--bs-popover-inner-border-radius)}.popover-header:empty{display:none}.popover-body{padding:var(--bs-popover-body-padding-y) var(--bs-popover-body-padding-x);color:var(--bs-popover-body-color)}.carousel{position:relative}.carousel.pointer-event{touch-action:pan-y;-webkit-touch-action:pan-y;-moz-touch-action:pan-y;-ms-touch-action:pan-y;-o-touch-action:pan-y}.carousel-inner{position:relative;width:100%;overflow:hidden}.carousel-inner::after{display:block;clear:both;content:""}.carousel-item{position:relative;display:none;float:left;width:100%;margin-right:-100%;backface-visibility:hidden;-webkit-backface-visibility:hidden;-moz-backface-visibility:hidden;-ms-backface-visibility:hidden;-o-backface-visibility:hidden;transition:transform .6s ease-in-out}@media (prefers-reduced-motion: reduce){.carousel-item{transition:none}}.carousel-item.active,.carousel-item-next,.carousel-item-prev{display:block}.carousel-item-next:not(.carousel-item-start),.active.carousel-item-end{transform:translateX(100%)}.carousel-item-prev:not(.carousel-item-end),.active.carousel-item-start{transform:translateX(-100%)}.carousel-fade .carousel-item{opacity:0;transition-property:opacity;transform:none}.carousel-fade .carousel-item.active,.carousel-fade .carousel-item-next.carousel-item-start,.carousel-fade .carousel-item-prev.carousel-item-end{z-index:1;opacity:1}.carousel-fade .active.carousel-item-start,.carousel-fade .active.carousel-item-end{z-index:0;opacity:0;transition:opacity 0s .6s}@media (prefers-reduced-motion: reduce){.carousel-fade .active.carousel-item-start,.carousel-fade .active.carousel-item-end{transition:none}}.carousel-control-prev,.carousel-control-next{position:absolute;top:0;bottom:0;z-index:1;display:flex;display:-webkit-flex;align-items:center;-webkit-align-items:center;justify-content:center;-webkit-justify-content:center;width:15%;padding:0;color:#fff;text-align:center;background:none;border:0;opacity:.5;transition:opacity 0.15s ease}@media (prefers-reduced-motion: reduce){.carousel-control-prev,.carousel-control-next{transition:none}}.carousel-control-prev:hover,.carousel-control-prev:focus,.carousel-control-next:hover,.carousel-control-next:focus{color:#fff;text-decoration:none;outline:0;opacity:.9}.carousel-control-prev{left:0}.carousel-control-next{right:0}.carousel-control-prev-icon,.carousel-control-next-icon{display:inline-block;width:2rem;height:2rem;background-repeat:no-repeat;background-position:50%;background-size:100% 100%}.carousel-control-prev-icon{background-image:url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23fff'%3e%3cpath d='M11.354 1.646a.5.5 0 0 1 0 .708L5.707 8l5.647 5.646a.5.5 0 0 1-.708.708l-6-6a.5.5 0 0 1 0-.708l6-6a.5.5 0 0 1 .708 0z'/%3e%3c/svg%3e")}.carousel-control-next-icon{background-image:url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23fff'%3e%3cpath d='M4.646 1.646a.5.5 0 0 1 .708 0l6 6a.5.5 0 0 1 0 .708l-6 6a.5.5 0 0 1-.708-.708L10.293 8 4.646 2.354a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e")}.carousel-indicators{position:absolute;right:0;bottom:0;left:0;z-index:2;display:flex;display:-webkit-flex;justify-content:center;-webkit-justify-content:center;padding:0;margin-right:15%;margin-bottom:1rem;margin-left:15%}.carousel-indicators [data-bs-target]{box-sizing:content-box;flex:0 1 auto;-webkit-flex:0 1 auto;width:30px;height:3px;padding:0;margin-right:3px;margin-left:3px;text-indent:-999px;cursor:pointer;background-color:#fff;background-clip:padding-box;border:0;border-top:10px solid transparent;border-bottom:10px solid transparent;opacity:.5;transition:opacity 0.6s ease}@media (prefers-reduced-motion: reduce){.carousel-indicators [data-bs-target]{transition:none}}.carousel-indicators .active{opacity:1}.carousel-caption{position:absolute;right:15%;bottom:1.25rem;left:15%;padding-top:1.25rem;padding-bottom:1.25rem;color:#fff;text-align:center}.carousel-dark .carousel-control-prev-icon,.carousel-dark .carousel-control-next-icon{filter:invert(1) grayscale(100)}.carousel-dark .carousel-indicators [data-bs-target]{background-color:#000}.carousel-dark .carousel-caption{color:#000}[data-bs-theme="dark"] .carousel .carousel-control-prev-icon,[data-bs-theme="dark"] .carousel .carousel-control-next-icon,[data-bs-theme="dark"].carousel .carousel-control-prev-icon,[data-bs-theme="dark"].carousel .carousel-control-next-icon{filter:invert(1) grayscale(100)}[data-bs-theme="dark"] .carousel .carousel-indicators [data-bs-target],[data-bs-theme="dark"].carousel .carousel-indicators [data-bs-target]{background-color:#000}[data-bs-theme="dark"] .carousel .carousel-caption,[data-bs-theme="dark"].carousel .carousel-caption{color:#000}.spinner-grow,.spinner-border{display:inline-block;width:var(--bs-spinner-width);height:var(--bs-spinner-height);vertical-align:var(--bs-spinner-vertical-align);border-radius:50%;animation:var(--bs-spinner-animation-speed) linear infinite var(--bs-spinner-animation-name)}@keyframes spinner-border{to{transform:rotate(360deg) /* rtl:ignore */}}.spinner-border{--bs-spinner-width: 2rem;--bs-spinner-height: 2rem;--bs-spinner-vertical-align: -.125em;--bs-spinner-border-width: .25em;--bs-spinner-animation-speed: .75s;--bs-spinner-animation-name: spinner-border;border:var(--bs-spinner-border-width) solid currentcolor;border-right-color:transparent}.spinner-border-sm{--bs-spinner-width: 1rem;--bs-spinner-height: 1rem;--bs-spinner-border-width: .2em}@keyframes spinner-grow{0%{transform:scale(0)}50%{opacity:1;transform:none}}.spinner-grow{--bs-spinner-width: 2rem;--bs-spinner-height: 2rem;--bs-spinner-vertical-align: -.125em;--bs-spinner-animation-speed: .75s;--bs-spinner-animation-name: spinner-grow;background-color:currentcolor;opacity:0}.spinner-grow-sm{--bs-spinner-width: 1rem;--bs-spinner-height: 1rem}@media (prefers-reduced-motion: reduce){.spinner-border,.spinner-grow{--bs-spinner-animation-speed: 1.5s}}.offcanvas,.offcanvas-xxl,.offcanvas-xl,.offcanvas-lg,.offcanvas-md,.offcanvas-sm{--bs-offcanvas-zindex: 1045;--bs-offcanvas-width: 400px;--bs-offcanvas-height: 30vh;--bs-offcanvas-padding-x: 1rem;--bs-offcanvas-padding-y: 1rem;--bs-offcanvas-color: var(--bs-body-color);--bs-offcanvas-bg: var(--bs-body-bg);--bs-offcanvas-border-width: var(--bs-border-width);--bs-offcanvas-border-color: var(--bs-border-color-translucent);--bs-offcanvas-box-shadow: 0 0.125rem 0.25rem rgba(0,0,0,0.075);--bs-offcanvas-transition: transform .3s ease-in-out;--bs-offcanvas-title-line-height: 1.5}@media (max-width: 575.98px){.offcanvas-sm{position:fixed;bottom:0;z-index:var(--bs-offcanvas-zindex);display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;max-width:100%;color:var(--bs-offcanvas-color);visibility:hidden;background-color:var(--bs-offcanvas-bg);background-clip:padding-box;outline:0;transition:var(--bs-offcanvas-transition)}}@media (max-width: 575.98px) and (prefers-reduced-motion: reduce){.offcanvas-sm{transition:none}}@media (max-width: 575.98px){.offcanvas-sm.offcanvas-start{top:0;left:0;width:var(--bs-offcanvas-width);border-right:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateX(-100%)}.offcanvas-sm.offcanvas-end{top:0;right:0;width:var(--bs-offcanvas-width);border-left:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateX(100%)}.offcanvas-sm.offcanvas-top{top:0;right:0;left:0;height:var(--bs-offcanvas-height);max-height:100%;border-bottom:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateY(-100%)}.offcanvas-sm.offcanvas-bottom{right:0;left:0;height:var(--bs-offcanvas-height);max-height:100%;border-top:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateY(100%)}.offcanvas-sm.showing,.offcanvas-sm.show:not(.hiding){transform:none}.offcanvas-sm.showing,.offcanvas-sm.hiding,.offcanvas-sm.show{visibility:visible}}@media (min-width: 576px){.offcanvas-sm{--bs-offcanvas-height: auto;--bs-offcanvas-border-width: 0;background-color:transparent !important}.offcanvas-sm .offcanvas-header{display:none}.offcanvas-sm .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible;background-color:transparent !important}}@media (max-width: 767.98px){.offcanvas-md{position:fixed;bottom:0;z-index:var(--bs-offcanvas-zindex);display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;max-width:100%;color:var(--bs-offcanvas-color);visibility:hidden;background-color:var(--bs-offcanvas-bg);background-clip:padding-box;outline:0;transition:var(--bs-offcanvas-transition)}}@media (max-width: 767.98px) and (prefers-reduced-motion: reduce){.offcanvas-md{transition:none}}@media (max-width: 767.98px){.offcanvas-md.offcanvas-start{top:0;left:0;width:var(--bs-offcanvas-width);border-right:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateX(-100%)}.offcanvas-md.offcanvas-end{top:0;right:0;width:var(--bs-offcanvas-width);border-left:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateX(100%)}.offcanvas-md.offcanvas-top{top:0;right:0;left:0;height:var(--bs-offcanvas-height);max-height:100%;border-bottom:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateY(-100%)}.offcanvas-md.offcanvas-bottom{right:0;left:0;height:var(--bs-offcanvas-height);max-height:100%;border-top:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateY(100%)}.offcanvas-md.showing,.offcanvas-md.show:not(.hiding){transform:none}.offcanvas-md.showing,.offcanvas-md.hiding,.offcanvas-md.show{visibility:visible}}@media (min-width: 768px){.offcanvas-md{--bs-offcanvas-height: auto;--bs-offcanvas-border-width: 0;background-color:transparent !important}.offcanvas-md .offcanvas-header{display:none}.offcanvas-md .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible;background-color:transparent !important}}@media (max-width: 991.98px){.offcanvas-lg{position:fixed;bottom:0;z-index:var(--bs-offcanvas-zindex);display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;max-width:100%;color:var(--bs-offcanvas-color);visibility:hidden;background-color:var(--bs-offcanvas-bg);background-clip:padding-box;outline:0;transition:var(--bs-offcanvas-transition)}}@media (max-width: 991.98px) and (prefers-reduced-motion: reduce){.offcanvas-lg{transition:none}}@media (max-width: 991.98px){.offcanvas-lg.offcanvas-start{top:0;left:0;width:var(--bs-offcanvas-width);border-right:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateX(-100%)}.offcanvas-lg.offcanvas-end{top:0;right:0;width:var(--bs-offcanvas-width);border-left:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateX(100%)}.offcanvas-lg.offcanvas-top{top:0;right:0;left:0;height:var(--bs-offcanvas-height);max-height:100%;border-bottom:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateY(-100%)}.offcanvas-lg.offcanvas-bottom{right:0;left:0;height:var(--bs-offcanvas-height);max-height:100%;border-top:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateY(100%)}.offcanvas-lg.showing,.offcanvas-lg.show:not(.hiding){transform:none}.offcanvas-lg.showing,.offcanvas-lg.hiding,.offcanvas-lg.show{visibility:visible}}@media (min-width: 992px){.offcanvas-lg{--bs-offcanvas-height: auto;--bs-offcanvas-border-width: 0;background-color:transparent !important}.offcanvas-lg .offcanvas-header{display:none}.offcanvas-lg .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible;background-color:transparent !important}}@media (max-width: 1199.98px){.offcanvas-xl{position:fixed;bottom:0;z-index:var(--bs-offcanvas-zindex);display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;max-width:100%;color:var(--bs-offcanvas-color);visibility:hidden;background-color:var(--bs-offcanvas-bg);background-clip:padding-box;outline:0;transition:var(--bs-offcanvas-transition)}}@media (max-width: 1199.98px) and (prefers-reduced-motion: reduce){.offcanvas-xl{transition:none}}@media (max-width: 1199.98px){.offcanvas-xl.offcanvas-start{top:0;left:0;width:var(--bs-offcanvas-width);border-right:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateX(-100%)}.offcanvas-xl.offcanvas-end{top:0;right:0;width:var(--bs-offcanvas-width);border-left:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateX(100%)}.offcanvas-xl.offcanvas-top{top:0;right:0;left:0;height:var(--bs-offcanvas-height);max-height:100%;border-bottom:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateY(-100%)}.offcanvas-xl.offcanvas-bottom{right:0;left:0;height:var(--bs-offcanvas-height);max-height:100%;border-top:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateY(100%)}.offcanvas-xl.showing,.offcanvas-xl.show:not(.hiding){transform:none}.offcanvas-xl.showing,.offcanvas-xl.hiding,.offcanvas-xl.show{visibility:visible}}@media (min-width: 1200px){.offcanvas-xl{--bs-offcanvas-height: auto;--bs-offcanvas-border-width: 0;background-color:transparent !important}.offcanvas-xl .offcanvas-header{display:none}.offcanvas-xl .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible;background-color:transparent !important}}@media (max-width: 1399.98px){.offcanvas-xxl{position:fixed;bottom:0;z-index:var(--bs-offcanvas-zindex);display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;max-width:100%;color:var(--bs-offcanvas-color);visibility:hidden;background-color:var(--bs-offcanvas-bg);background-clip:padding-box;outline:0;transition:var(--bs-offcanvas-transition)}}@media (max-width: 1399.98px) and (prefers-reduced-motion: reduce){.offcanvas-xxl{transition:none}}@media (max-width: 1399.98px){.offcanvas-xxl.offcanvas-start{top:0;left:0;width:var(--bs-offcanvas-width);border-right:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateX(-100%)}.offcanvas-xxl.offcanvas-end{top:0;right:0;width:var(--bs-offcanvas-width);border-left:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateX(100%)}.offcanvas-xxl.offcanvas-top{top:0;right:0;left:0;height:var(--bs-offcanvas-height);max-height:100%;border-bottom:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateY(-100%)}.offcanvas-xxl.offcanvas-bottom{right:0;left:0;height:var(--bs-offcanvas-height);max-height:100%;border-top:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateY(100%)}.offcanvas-xxl.showing,.offcanvas-xxl.show:not(.hiding){transform:none}.offcanvas-xxl.showing,.offcanvas-xxl.hiding,.offcanvas-xxl.show{visibility:visible}}@media (min-width: 1400px){.offcanvas-xxl{--bs-offcanvas-height: auto;--bs-offcanvas-border-width: 0;background-color:transparent !important}.offcanvas-xxl .offcanvas-header{display:none}.offcanvas-xxl .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible;background-color:transparent !important}}.offcanvas{position:fixed;bottom:0;z-index:var(--bs-offcanvas-zindex);display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;max-width:100%;color:var(--bs-offcanvas-color);visibility:hidden;background-color:var(--bs-offcanvas-bg);background-clip:padding-box;outline:0;transition:var(--bs-offcanvas-transition)}@media (prefers-reduced-motion: reduce){.offcanvas{transition:none}}.offcanvas.offcanvas-start{top:0;left:0;width:var(--bs-offcanvas-width);border-right:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateX(-100%)}.offcanvas.offcanvas-end{top:0;right:0;width:var(--bs-offcanvas-width);border-left:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateX(100%)}.offcanvas.offcanvas-top{top:0;right:0;left:0;height:var(--bs-offcanvas-height);max-height:100%;border-bottom:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateY(-100%)}.offcanvas.offcanvas-bottom{right:0;left:0;height:var(--bs-offcanvas-height);max-height:100%;border-top:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateY(100%)}.offcanvas.showing,.offcanvas.show:not(.hiding){transform:none}.offcanvas.showing,.offcanvas.hiding,.offcanvas.show{visibility:visible}.offcanvas-backdrop{position:fixed;top:0;left:0;z-index:1040;width:100vw;height:100vh;background-color:#000}.offcanvas-backdrop.fade{opacity:0}.offcanvas-backdrop.show{opacity:.5}.offcanvas-header{display:flex;display:-webkit-flex;align-items:center;-webkit-align-items:center;justify-content:space-between;-webkit-justify-content:space-between;padding:var(--bs-offcanvas-padding-y) var(--bs-offcanvas-padding-x)}.offcanvas-header .btn-close{padding:calc(var(--bs-offcanvas-padding-y) * .5) calc(var(--bs-offcanvas-padding-x) * .5);margin-top:calc(-.5 * var(--bs-offcanvas-padding-y));margin-right:calc(-.5 * var(--bs-offcanvas-padding-x));margin-bottom:calc(-.5 * var(--bs-offcanvas-padding-y))}.offcanvas-title{margin-bottom:0;line-height:var(--bs-offcanvas-title-line-height)}.offcanvas-body{flex-grow:1;-webkit-flex-grow:1;padding:var(--bs-offcanvas-padding-y) var(--bs-offcanvas-padding-x);overflow-y:auto}.placeholder{display:inline-block;min-height:1em;vertical-align:middle;cursor:wait;background-color:currentcolor;opacity:.5}.placeholder.btn::before{display:inline-block;content:""}.placeholder-xs{min-height:.6em}.placeholder-sm{min-height:.8em}.placeholder-lg{min-height:1.2em}.placeholder-glow .placeholder{animation:placeholder-glow 2s ease-in-out infinite}@keyframes placeholder-glow{50%{opacity:.2}}.placeholder-wave{mask-image:linear-gradient(130deg, #000 55%, rgba(0,0,0,0.8) 75%, #000 95%);-webkit-mask-image:linear-gradient(130deg, #000 55%, rgba(0,0,0,0.8) 75%, #000 95%);mask-size:200% 100%;-webkit-mask-size:200% 100%;animation:placeholder-wave 2s linear infinite}@keyframes placeholder-wave{100%{mask-position:-200% 0%;-webkit-mask-position:-200% 0%}}.clearfix::after{display:block;clear:both;content:""}.text-bg-default{color:#000 !important;background-color:RGBA(var(--bs-default-rgb), var(--bs-bg-opacity, 1)) !important}.text-bg-primary{color:#fff !important;background-color:RGBA(var(--bs-primary-rgb), var(--bs-bg-opacity, 1)) !important}.text-bg-secondary{color:#fff !important;background-color:RGBA(var(--bs-secondary-rgb), var(--bs-bg-opacity, 1)) !important}.text-bg-success{color:#fff !important;background-color:RGBA(var(--bs-success-rgb), var(--bs-bg-opacity, 1)) !important}.text-bg-info{color:#000 !important;background-color:RGBA(var(--bs-info-rgb), var(--bs-bg-opacity, 1)) !important}.text-bg-warning{color:#000 !important;background-color:RGBA(var(--bs-warning-rgb), var(--bs-bg-opacity, 1)) !important}.text-bg-danger{color:#fff !important;background-color:RGBA(var(--bs-danger-rgb), var(--bs-bg-opacity, 1)) !important}.text-bg-light{color:#000 !important;background-color:RGBA(var(--bs-light-rgb), var(--bs-bg-opacity, 1)) !important}.text-bg-dark{color:#fff !important;background-color:RGBA(var(--bs-dark-rgb), var(--bs-bg-opacity, 1)) !important}.link-default{color:RGBA(var(--bs-default-rgb), var(--bs-link-opacity, 1)) !important;text-decoration-color:RGBA(var(--bs-default-rgb), var(--bs-link-underline-opacity, 1)) !important}.link-default:hover,.link-default:focus{color:RGBA(229,232,235, var(--bs-link-opacity, 1)) !important;text-decoration-color:RGBA(229,232,235, var(--bs-link-underline-opacity, 1)) !important}.link-primary{color:RGBA(var(--bs-primary-rgb), var(--bs-link-opacity, 1)) !important;text-decoration-color:RGBA(var(--bs-primary-rgb), var(--bs-link-underline-opacity, 1)) !important}.link-primary:hover,.link-primary:focus{color:RGBA(10,88,202, var(--bs-link-opacity, 1)) !important;text-decoration-color:RGBA(10,88,202, var(--bs-link-underline-opacity, 1)) !important}.link-secondary{color:RGBA(var(--bs-secondary-rgb), var(--bs-link-opacity, 1)) !important;text-decoration-color:RGBA(var(--bs-secondary-rgb), var(--bs-link-underline-opacity, 1)) !important}.link-secondary:hover,.link-secondary:focus{color:RGBA(86,94,100, var(--bs-link-opacity, 1)) !important;text-decoration-color:RGBA(86,94,100, var(--bs-link-underline-opacity, 1)) !important}.link-success{color:RGBA(var(--bs-success-rgb), var(--bs-link-opacity, 1)) !important;text-decoration-color:RGBA(var(--bs-success-rgb), var(--bs-link-underline-opacity, 1)) !important}.link-success:hover,.link-success:focus{color:RGBA(20,108,67, var(--bs-link-opacity, 1)) !important;text-decoration-color:RGBA(20,108,67, var(--bs-link-underline-opacity, 1)) !important}.link-info{color:RGBA(var(--bs-info-rgb), var(--bs-link-opacity, 1)) !important;text-decoration-color:RGBA(var(--bs-info-rgb), var(--bs-link-underline-opacity, 1)) !important}.link-info:hover,.link-info:focus{color:RGBA(61,213,243, var(--bs-link-opacity, 1)) !important;text-decoration-color:RGBA(61,213,243, var(--bs-link-underline-opacity, 1)) !important}.link-warning{color:RGBA(var(--bs-warning-rgb), var(--bs-link-opacity, 1)) !important;text-decoration-color:RGBA(var(--bs-warning-rgb), var(--bs-link-underline-opacity, 1)) !important}.link-warning:hover,.link-warning:focus{color:RGBA(255,205,57, var(--bs-link-opacity, 1)) !important;text-decoration-color:RGBA(255,205,57, var(--bs-link-underline-opacity, 1)) !important}.link-danger{color:RGBA(var(--bs-danger-rgb), var(--bs-link-opacity, 1)) !important;text-decoration-color:RGBA(var(--bs-danger-rgb), var(--bs-link-underline-opacity, 1)) !important}.link-danger:hover,.link-danger:focus{color:RGBA(176,42,55, var(--bs-link-opacity, 1)) !important;text-decoration-color:RGBA(176,42,55, var(--bs-link-underline-opacity, 1)) !important}.link-light{color:RGBA(var(--bs-light-rgb), var(--bs-link-opacity, 1)) !important;text-decoration-color:RGBA(var(--bs-light-rgb), var(--bs-link-underline-opacity, 1)) !important}.link-light:hover,.link-light:focus{color:RGBA(249,250,251, var(--bs-link-opacity, 1)) !important;text-decoration-color:RGBA(249,250,251, var(--bs-link-underline-opacity, 1)) !important}.link-dark{color:RGBA(var(--bs-dark-rgb), var(--bs-link-opacity, 1)) !important;text-decoration-color:RGBA(var(--bs-dark-rgb), var(--bs-link-underline-opacity, 1)) !important}.link-dark:hover,.link-dark:focus{color:RGBA(26,30,33, var(--bs-link-opacity, 1)) !important;text-decoration-color:RGBA(26,30,33, var(--bs-link-underline-opacity, 1)) !important}.link-body-emphasis{color:RGBA(var(--bs-emphasis-color-rgb), var(--bs-link-opacity, 1)) !important;text-decoration-color:RGBA(var(--bs-emphasis-color-rgb), var(--bs-link-underline-opacity, 1)) !important}.link-body-emphasis:hover,.link-body-emphasis:focus{color:RGBA(var(--bs-emphasis-color-rgb), var(--bs-link-opacity, 0.75)) !important;text-decoration-color:RGBA(var(--bs-emphasis-color-rgb), var(--bs-link-underline-opacity, 0.75)) !important}.focus-ring:focus{outline:0;box-shadow:var(--bs-focus-ring-x, 0) var(--bs-focus-ring-y, 0) var(--bs-focus-ring-blur, 0) var(--bs-focus-ring-width) var(--bs-focus-ring-color)}.icon-link{display:inline-flex;gap:.375rem;align-items:center;-webkit-align-items:center;text-decoration-color:rgba(var(--bs-link-color-rgb), var(--bs-link-opacity, 0.5));text-underline-offset:.25em;backface-visibility:hidden;-webkit-backface-visibility:hidden;-moz-backface-visibility:hidden;-ms-backface-visibility:hidden;-o-backface-visibility:hidden}.icon-link>.bi{flex-shrink:0;-webkit-flex-shrink:0;width:1em;height:1em;fill:currentcolor;transition:0.2s ease-in-out transform}@media (prefers-reduced-motion: reduce){.icon-link>.bi{transition:none}}.icon-link-hover:hover>.bi,.icon-link-hover:focus-visible>.bi{transform:var(--bs-icon-link-transform, translate3d(0.25em, 0, 0))}.ratio{position:relative;width:100%}.ratio::before{display:block;padding-top:var(--bs-aspect-ratio);content:""}.ratio>*{position:absolute;top:0;left:0;width:100%;height:100%}.ratio-1x1{--bs-aspect-ratio: 100%}.ratio-4x3{--bs-aspect-ratio: calc(3 / 4 * 100%)}.ratio-16x9{--bs-aspect-ratio: calc(9 / 16 * 100%)}.ratio-21x9{--bs-aspect-ratio: calc(9 / 21 * 100%)}.fixed-top{position:fixed;top:0;right:0;left:0;z-index:1030}.fixed-bottom{position:fixed;right:0;bottom:0;left:0;z-index:1030}.sticky-top{position:sticky;top:0;z-index:1020}.sticky-bottom{position:sticky;bottom:0;z-index:1020}@media (min-width: 576px){.sticky-sm-top{position:sticky;top:0;z-index:1020}.sticky-sm-bottom{position:sticky;bottom:0;z-index:1020}}@media (min-width: 768px){.sticky-md-top{position:sticky;top:0;z-index:1020}.sticky-md-bottom{position:sticky;bottom:0;z-index:1020}}@media (min-width: 992px){.sticky-lg-top{position:sticky;top:0;z-index:1020}.sticky-lg-bottom{position:sticky;bottom:0;z-index:1020}}@media (min-width: 1200px){.sticky-xl-top{position:sticky;top:0;z-index:1020}.sticky-xl-bottom{position:sticky;bottom:0;z-index:1020}}@media (min-width: 1400px){.sticky-xxl-top{position:sticky;top:0;z-index:1020}.sticky-xxl-bottom{position:sticky;bottom:0;z-index:1020}}.hstack{display:flex;display:-webkit-flex;flex-direction:row;-webkit-flex-direction:row;align-items:center;-webkit-align-items:center;align-self:stretch;-webkit-align-self:stretch}.vstack{display:flex;display:-webkit-flex;flex:1 1 auto;-webkit-flex:1 1 auto;flex-direction:column;-webkit-flex-direction:column;align-self:stretch;-webkit-align-self:stretch}.visually-hidden,.visually-hidden-focusable:not(:focus):not(:focus-within){width:1px !important;height:1px !important;padding:0 !important;margin:-1px !important;overflow:hidden !important;clip:rect(0, 0, 0, 0) !important;white-space:nowrap !important;border:0 !important}.visually-hidden:not(caption),.visually-hidden-focusable:not(:focus):not(:focus-within):not(caption){position:absolute !important}.stretched-link::after{position:absolute;top:0;right:0;bottom:0;left:0;z-index:1;content:""}.text-truncate{overflow:hidden;text-overflow:ellipsis;white-space:nowrap}.vr{display:inline-block;align-self:stretch;-webkit-align-self:stretch;width:var(--bs-border-width);min-height:1em;background-color:currentcolor;opacity:.25}.align-baseline{vertical-align:baseline !important}.align-top{vertical-align:top !important}.align-middle{vertical-align:middle !important}.align-bottom{vertical-align:bottom !important}.align-text-bottom{vertical-align:text-bottom !important}.align-text-top{vertical-align:text-top !important}.float-start{float:left !important}.float-end{float:right !important}.float-none{float:none !important}.object-fit-contain{object-fit:contain !important}.object-fit-cover{object-fit:cover !important}.object-fit-fill{object-fit:fill !important}.object-fit-scale{object-fit:scale-down !important}.object-fit-none{object-fit:none !important}.opacity-0{opacity:0 !important}.opacity-25{opacity:.25 !important}.opacity-50{opacity:.5 !important}.opacity-75{opacity:.75 !important}.opacity-100{opacity:1 !important}.overflow-auto{overflow:auto !important}.overflow-hidden{overflow:hidden !important}.overflow-visible{overflow:visible !important}.overflow-scroll{overflow:scroll !important}.overflow-x-auto{overflow-x:auto !important}.overflow-x-hidden{overflow-x:hidden !important}.overflow-x-visible{overflow-x:visible !important}.overflow-x-scroll{overflow-x:scroll !important}.overflow-y-auto{overflow-y:auto !important}.overflow-y-hidden{overflow-y:hidden !important}.overflow-y-visible{overflow-y:visible !important}.overflow-y-scroll{overflow-y:scroll !important}.d-inline{display:inline !important}.d-inline-block{display:inline-block !important}.d-block{display:block !important}.d-grid{display:grid !important}.d-inline-grid{display:inline-grid !important}.d-table{display:table !important}.d-table-row{display:table-row !important}.d-table-cell{display:table-cell !important}.d-flex{display:flex !important}.d-inline-flex{display:inline-flex !important}.d-none{display:none !important}.shadow{box-shadow:0 0.5rem 1rem rgba(0,0,0,0.15) !important}.shadow-sm{box-shadow:0 0.125rem 0.25rem rgba(0,0,0,0.075) !important}.shadow-lg{box-shadow:0 1rem 3rem rgba(0,0,0,0.175) !important}.shadow-none{box-shadow:none !important}.focus-ring-default{--bs-focus-ring-color: rgba(var(--bs-default-rgb), var(--bs-focus-ring-opacity))}.focus-ring-primary{--bs-focus-ring-color: rgba(var(--bs-primary-rgb), var(--bs-focus-ring-opacity))}.focus-ring-secondary{--bs-focus-ring-color: rgba(var(--bs-secondary-rgb), var(--bs-focus-ring-opacity))}.focus-ring-success{--bs-focus-ring-color: rgba(var(--bs-success-rgb), var(--bs-focus-ring-opacity))}.focus-ring-info{--bs-focus-ring-color: rgba(var(--bs-info-rgb), var(--bs-focus-ring-opacity))}.focus-ring-warning{--bs-focus-ring-color: rgba(var(--bs-warning-rgb), var(--bs-focus-ring-opacity))}.focus-ring-danger{--bs-focus-ring-color: rgba(var(--bs-danger-rgb), var(--bs-focus-ring-opacity))}.focus-ring-light{--bs-focus-ring-color: rgba(var(--bs-light-rgb), var(--bs-focus-ring-opacity))}.focus-ring-dark{--bs-focus-ring-color: rgba(var(--bs-dark-rgb), var(--bs-focus-ring-opacity))}.position-static{position:static !important}.position-relative{position:relative !important}.position-absolute{position:absolute !important}.position-fixed{position:fixed !important}.position-sticky{position:sticky !important}.top-0{top:0 !important}.top-50{top:50% !important}.top-100{top:100% !important}.bottom-0{bottom:0 !important}.bottom-50{bottom:50% !important}.bottom-100{bottom:100% !important}.start-0{left:0 !important}.start-50{left:50% !important}.start-100{left:100% !important}.end-0{right:0 !important}.end-50{right:50% !important}.end-100{right:100% !important}.translate-middle{transform:translate(-50%, -50%) !important}.translate-middle-x{transform:translateX(-50%) !important}.translate-middle-y{transform:translateY(-50%) !important}.border{border:var(--bs-border-width) var(--bs-border-style) var(--bs-border-color) !important}.border-0{border:0 !important}.border-top{border-top:var(--bs-border-width) var(--bs-border-style) var(--bs-border-color) !important}.border-top-0{border-top:0 !important}.border-end{border-right:var(--bs-border-width) var(--bs-border-style) var(--bs-border-color) !important}.border-end-0{border-right:0 !important}.border-bottom{border-bottom:var(--bs-border-width) var(--bs-border-style) var(--bs-border-color) !important}.border-bottom-0{border-bottom:0 !important}.border-start{border-left:var(--bs-border-width) var(--bs-border-style) var(--bs-border-color) !important}.border-start-0{border-left:0 !important}.border-default{--bs-border-opacity: 1;border-color:rgba(var(--bs-default-rgb), var(--bs-border-opacity)) !important}.border-primary{--bs-border-opacity: 1;border-color:rgba(var(--bs-primary-rgb), var(--bs-border-opacity)) !important}.border-secondary{--bs-border-opacity: 1;border-color:rgba(var(--bs-secondary-rgb), var(--bs-border-opacity)) !important}.border-success{--bs-border-opacity: 1;border-color:rgba(var(--bs-success-rgb), var(--bs-border-opacity)) !important}.border-info{--bs-border-opacity: 1;border-color:rgba(var(--bs-info-rgb), var(--bs-border-opacity)) !important}.border-warning{--bs-border-opacity: 1;border-color:rgba(var(--bs-warning-rgb), var(--bs-border-opacity)) !important}.border-danger{--bs-border-opacity: 1;border-color:rgba(var(--bs-danger-rgb), var(--bs-border-opacity)) !important}.border-light{--bs-border-opacity: 1;border-color:rgba(var(--bs-light-rgb), var(--bs-border-opacity)) !important}.border-dark{--bs-border-opacity: 1;border-color:rgba(var(--bs-dark-rgb), var(--bs-border-opacity)) !important}.border-black{--bs-border-opacity: 1;border-color:rgba(var(--bs-black-rgb), var(--bs-border-opacity)) !important}.border-white{--bs-border-opacity: 1;border-color:rgba(var(--bs-white-rgb), var(--bs-border-opacity)) !important}.border-primary-subtle{border-color:var(--bs-primary-border-subtle) !important}.border-secondary-subtle{border-color:var(--bs-secondary-border-subtle) !important}.border-success-subtle{border-color:var(--bs-success-border-subtle) !important}.border-info-subtle{border-color:var(--bs-info-border-subtle) !important}.border-warning-subtle{border-color:var(--bs-warning-border-subtle) !important}.border-danger-subtle{border-color:var(--bs-danger-border-subtle) !important}.border-light-subtle{border-color:var(--bs-light-border-subtle) !important}.border-dark-subtle{border-color:var(--bs-dark-border-subtle) !important}.border-1{border-width:1px !important}.border-2{border-width:2px !important}.border-3{border-width:3px !important}.border-4{border-width:4px !important}.border-5{border-width:5px !important}.border-opacity-10{--bs-border-opacity: .1}.border-opacity-25{--bs-border-opacity: .25}.border-opacity-50{--bs-border-opacity: .5}.border-opacity-75{--bs-border-opacity: .75}.border-opacity-100{--bs-border-opacity: 1}.w-25{width:25% !important}.w-50{width:50% !important}.w-75{width:75% !important}.w-100{width:100% !important}.w-auto{width:auto !important}.mw-100{max-width:100% !important}.vw-100{width:100vw !important}.min-vw-100{min-width:100vw !important}.h-25{height:25% !important}.h-50{height:50% !important}.h-75{height:75% !important}.h-100{height:100% !important}.h-auto{height:auto !important}.mh-100{max-height:100% !important}.vh-100{height:100vh !important}.min-vh-100{min-height:100vh !important}.flex-fill{flex:1 1 auto !important}.flex-row{flex-direction:row !important}.flex-column{flex-direction:column !important}.flex-row-reverse{flex-direction:row-reverse !important}.flex-column-reverse{flex-direction:column-reverse !important}.flex-grow-0{flex-grow:0 !important}.flex-grow-1{flex-grow:1 !important}.flex-shrink-0{flex-shrink:0 !important}.flex-shrink-1{flex-shrink:1 !important}.flex-wrap{flex-wrap:wrap !important}.flex-nowrap{flex-wrap:nowrap !important}.flex-wrap-reverse{flex-wrap:wrap-reverse !important}.justify-content-start{justify-content:flex-start !important}.justify-content-end{justify-content:flex-end !important}.justify-content-center{justify-content:center !important}.justify-content-between{justify-content:space-between !important}.justify-content-around{justify-content:space-around !important}.justify-content-evenly{justify-content:space-evenly !important}.align-items-start{align-items:flex-start !important}.align-items-end{align-items:flex-end !important}.align-items-center{align-items:center !important}.align-items-baseline{align-items:baseline !important}.align-items-stretch{align-items:stretch !important}.align-content-start{align-content:flex-start !important}.align-content-end{align-content:flex-end !important}.align-content-center{align-content:center !important}.align-content-between{align-content:space-between !important}.align-content-around{align-content:space-around !important}.align-content-stretch{align-content:stretch !important}.align-self-auto{align-self:auto !important}.align-self-start{align-self:flex-start !important}.align-self-end{align-self:flex-end !important}.align-self-center{align-self:center !important}.align-self-baseline{align-self:baseline !important}.align-self-stretch{align-self:stretch !important}.order-first{order:-1 !important}.order-0{order:0 !important}.order-1{order:1 !important}.order-2{order:2 !important}.order-3{order:3 !important}.order-4{order:4 !important}.order-5{order:5 !important}.order-last{order:6 !important}.m-0{margin:0 !important}.m-1{margin:.25rem !important}.m-2{margin:.5rem !important}.m-3{margin:1rem !important}.m-4{margin:1.5rem !important}.m-5{margin:3rem !important}.m-auto{margin:auto !important}.mx-0{margin-right:0 !important;margin-left:0 !important}.mx-1{margin-right:.25rem !important;margin-left:.25rem !important}.mx-2{margin-right:.5rem !important;margin-left:.5rem !important}.mx-3{margin-right:1rem !important;margin-left:1rem !important}.mx-4{margin-right:1.5rem !important;margin-left:1.5rem !important}.mx-5{margin-right:3rem !important;margin-left:3rem !important}.mx-auto{margin-right:auto !important;margin-left:auto !important}.my-0{margin-top:0 !important;margin-bottom:0 !important}.my-1{margin-top:.25rem !important;margin-bottom:.25rem !important}.my-2{margin-top:.5rem !important;margin-bottom:.5rem !important}.my-3{margin-top:1rem !important;margin-bottom:1rem !important}.my-4{margin-top:1.5rem !important;margin-bottom:1.5rem !important}.my-5{margin-top:3rem !important;margin-bottom:3rem !important}.my-auto{margin-top:auto !important;margin-bottom:auto !important}.mt-0{margin-top:0 !important}.mt-1{margin-top:.25rem !important}.mt-2{margin-top:.5rem !important}.mt-3{margin-top:1rem !important}.mt-4{margin-top:1.5rem !important}.mt-5{margin-top:3rem !important}.mt-auto{margin-top:auto !important}.me-0{margin-right:0 !important}.me-1{margin-right:.25rem !important}.me-2{margin-right:.5rem !important}.me-3{margin-right:1rem !important}.me-4{margin-right:1.5rem !important}.me-5{margin-right:3rem !important}.me-auto{margin-right:auto !important}.mb-0{margin-bottom:0 !important}.mb-1{margin-bottom:.25rem !important}.mb-2{margin-bottom:.5rem !important}.mb-3{margin-bottom:1rem !important}.mb-4{margin-bottom:1.5rem !important}.mb-5{margin-bottom:3rem !important}.mb-auto{margin-bottom:auto !important}.ms-0{margin-left:0 !important}.ms-1{margin-left:.25rem !important}.ms-2{margin-left:.5rem !important}.ms-3{margin-left:1rem !important}.ms-4{margin-left:1.5rem !important}.ms-5{margin-left:3rem !important}.ms-auto{margin-left:auto !important}.p-0{padding:0 !important}.p-1{padding:.25rem !important}.p-2{padding:.5rem !important}.p-3{padding:1rem !important}.p-4{padding:1.5rem !important}.p-5{padding:3rem !important}.px-0{padding-right:0 !important;padding-left:0 !important}.px-1{padding-right:.25rem !important;padding-left:.25rem !important}.px-2{padding-right:.5rem !important;padding-left:.5rem !important}.px-3{padding-right:1rem !important;padding-left:1rem !important}.px-4{padding-right:1.5rem !important;padding-left:1.5rem !important}.px-5{padding-right:3rem !important;padding-left:3rem !important}.py-0{padding-top:0 !important;padding-bottom:0 !important}.py-1{padding-top:.25rem !important;padding-bottom:.25rem !important}.py-2{padding-top:.5rem !important;padding-bottom:.5rem !important}.py-3{padding-top:1rem !important;padding-bottom:1rem !important}.py-4{padding-top:1.5rem !important;padding-bottom:1.5rem !important}.py-5{padding-top:3rem !important;padding-bottom:3rem !important}.pt-0{padding-top:0 !important}.pt-1{padding-top:.25rem !important}.pt-2{padding-top:.5rem !important}.pt-3{padding-top:1rem !important}.pt-4{padding-top:1.5rem !important}.pt-5{padding-top:3rem !important}.pe-0{padding-right:0 !important}.pe-1{padding-right:.25rem !important}.pe-2{padding-right:.5rem !important}.pe-3{padding-right:1rem !important}.pe-4{padding-right:1.5rem !important}.pe-5{padding-right:3rem !important}.pb-0{padding-bottom:0 !important}.pb-1{padding-bottom:.25rem !important}.pb-2{padding-bottom:.5rem !important}.pb-3{padding-bottom:1rem !important}.pb-4{padding-bottom:1.5rem !important}.pb-5{padding-bottom:3rem !important}.ps-0{padding-left:0 !important}.ps-1{padding-left:.25rem !important}.ps-2{padding-left:.5rem !important}.ps-3{padding-left:1rem !important}.ps-4{padding-left:1.5rem !important}.ps-5{padding-left:3rem !important}.gap-0{gap:0 !important}.gap-1{gap:.25rem !important}.gap-2{gap:.5rem !important}.gap-3{gap:1rem !important}.gap-4{gap:1.5rem !important}.gap-5{gap:3rem !important}.row-gap-0{row-gap:0 !important}.row-gap-1{row-gap:.25rem !important}.row-gap-2{row-gap:.5rem !important}.row-gap-3{row-gap:1rem !important}.row-gap-4{row-gap:1.5rem !important}.row-gap-5{row-gap:3rem !important}.column-gap-0{column-gap:0 !important}.column-gap-1{column-gap:.25rem !important}.column-gap-2{column-gap:.5rem !important}.column-gap-3{column-gap:1rem !important}.column-gap-4{column-gap:1.5rem !important}.column-gap-5{column-gap:3rem !important}.font-monospace{font-family:var(--bs-font-monospace) !important}.fs-1{font-size:calc(1.375rem + 1.5vw) !important}.fs-2{font-size:calc(1.325rem + .9vw) !important}.fs-3{font-size:calc(1.3rem + .6vw) !important}.fs-4{font-size:calc(1.275rem + .3vw) !important}.fs-5{font-size:1.25rem !important}.fs-6{font-size:1rem !important}.fst-italic{font-style:italic !important}.fst-normal{font-style:normal !important}.fw-lighter{font-weight:lighter !important}.fw-light{font-weight:300 !important}.fw-normal{font-weight:400 !important}.fw-medium{font-weight:500 !important}.fw-semibold{font-weight:600 !important}.fw-bold{font-weight:700 !important}.fw-bolder{font-weight:bolder !important}.lh-1{line-height:1 !important}.lh-sm{line-height:1.25 !important}.lh-base{line-height:1.5 !important}.lh-lg{line-height:2 !important}.text-start{text-align:left !important}.text-end{text-align:right !important}.text-center{text-align:center !important}.text-decoration-none{text-decoration:none !important}.text-decoration-underline{text-decoration:underline !important}.text-decoration-line-through{text-decoration:line-through !important}.text-lowercase{text-transform:lowercase !important}.text-uppercase{text-transform:uppercase !important}.text-capitalize{text-transform:capitalize !important}.text-wrap{white-space:normal !important}.text-nowrap{white-space:nowrap !important}.text-break{word-wrap:break-word !important;word-break:break-word !important}.text-default{--bs-text-opacity: 1;color:rgba(var(--bs-default-rgb), var(--bs-text-opacity)) !important}.text-primary{--bs-text-opacity: 1;color:rgba(var(--bs-primary-rgb), var(--bs-text-opacity)) !important}.text-secondary{--bs-text-opacity: 1;color:rgba(var(--bs-secondary-rgb), var(--bs-text-opacity)) !important}.text-success{--bs-text-opacity: 1;color:rgba(var(--bs-success-rgb), var(--bs-text-opacity)) !important}.text-info{--bs-text-opacity: 1;color:rgba(var(--bs-info-rgb), var(--bs-text-opacity)) !important}.text-warning{--bs-text-opacity: 1;color:rgba(var(--bs-warning-rgb), var(--bs-text-opacity)) !important}.text-danger{--bs-text-opacity: 1;color:rgba(var(--bs-danger-rgb), var(--bs-text-opacity)) !important}.text-light{--bs-text-opacity: 1;color:rgba(var(--bs-light-rgb), var(--bs-text-opacity)) !important}.text-dark{--bs-text-opacity: 1;color:rgba(var(--bs-dark-rgb), var(--bs-text-opacity)) !important}.text-black{--bs-text-opacity: 1;color:rgba(var(--bs-black-rgb), var(--bs-text-opacity)) !important}.text-white{--bs-text-opacity: 1;color:rgba(var(--bs-white-rgb), var(--bs-text-opacity)) !important}.text-body{--bs-text-opacity: 1;color:rgba(var(--bs-body-color-rgb), var(--bs-text-opacity)) !important}.text-muted{--bs-text-opacity: 1;color:var(--bs-secondary-color) !important}.text-black-50{--bs-text-opacity: 1;color:rgba(0,0,0,0.5) !important}.text-white-50{--bs-text-opacity: 1;color:rgba(255,255,255,0.5) !important}.text-body-secondary{--bs-text-opacity: 1;color:var(--bs-secondary-color) !important}.text-body-tertiary{--bs-text-opacity: 1;color:var(--bs-tertiary-color) !important}.text-body-emphasis{--bs-text-opacity: 1;color:var(--bs-emphasis-color) !important}.text-reset{--bs-text-opacity: 1;color:inherit !important}.text-opacity-25{--bs-text-opacity: .25}.text-opacity-50{--bs-text-opacity: .5}.text-opacity-75{--bs-text-opacity: .75}.text-opacity-100{--bs-text-opacity: 1}.text-primary-emphasis{color:var(--bs-primary-text-emphasis) !important}.text-secondary-emphasis{color:var(--bs-secondary-text-emphasis) !important}.text-success-emphasis{color:var(--bs-success-text-emphasis) !important}.text-info-emphasis{color:var(--bs-info-text-emphasis) !important}.text-warning-emphasis{color:var(--bs-warning-text-emphasis) !important}.text-danger-emphasis{color:var(--bs-danger-text-emphasis) !important}.text-light-emphasis{color:var(--bs-light-text-emphasis) !important}.text-dark-emphasis{color:var(--bs-dark-text-emphasis) !important}.link-opacity-10{--bs-link-opacity: .1}.link-opacity-10-hover:hover{--bs-link-opacity: .1}.link-opacity-25{--bs-link-opacity: .25}.link-opacity-25-hover:hover{--bs-link-opacity: .25}.link-opacity-50{--bs-link-opacity: .5}.link-opacity-50-hover:hover{--bs-link-opacity: .5}.link-opacity-75{--bs-link-opacity: .75}.link-opacity-75-hover:hover{--bs-link-opacity: .75}.link-opacity-100{--bs-link-opacity: 1}.link-opacity-100-hover:hover{--bs-link-opacity: 1}.link-offset-1{text-underline-offset:.125em !important}.link-offset-1-hover:hover{text-underline-offset:.125em !important}.link-offset-2{text-underline-offset:.25em !important}.link-offset-2-hover:hover{text-underline-offset:.25em !important}.link-offset-3{text-underline-offset:.375em !important}.link-offset-3-hover:hover{text-underline-offset:.375em !important}.link-underline-default{--bs-link-underline-opacity: 1;text-decoration-color:rgba(var(--bs-default-rgb), var(--bs-link-underline-opacity)) !important}.link-underline-primary{--bs-link-underline-opacity: 1;text-decoration-color:rgba(var(--bs-primary-rgb), var(--bs-link-underline-opacity)) !important}.link-underline-secondary{--bs-link-underline-opacity: 1;text-decoration-color:rgba(var(--bs-secondary-rgb), var(--bs-link-underline-opacity)) !important}.link-underline-success{--bs-link-underline-opacity: 1;text-decoration-color:rgba(var(--bs-success-rgb), var(--bs-link-underline-opacity)) !important}.link-underline-info{--bs-link-underline-opacity: 1;text-decoration-color:rgba(var(--bs-info-rgb), var(--bs-link-underline-opacity)) !important}.link-underline-warning{--bs-link-underline-opacity: 1;text-decoration-color:rgba(var(--bs-warning-rgb), var(--bs-link-underline-opacity)) !important}.link-underline-danger{--bs-link-underline-opacity: 1;text-decoration-color:rgba(var(--bs-danger-rgb), var(--bs-link-underline-opacity)) !important}.link-underline-light{--bs-link-underline-opacity: 1;text-decoration-color:rgba(var(--bs-light-rgb), var(--bs-link-underline-opacity)) !important}.link-underline-dark{--bs-link-underline-opacity: 1;text-decoration-color:rgba(var(--bs-dark-rgb), var(--bs-link-underline-opacity)) !important}.link-underline{--bs-link-underline-opacity: 1;text-decoration-color:rgba(var(--bs-link-color-rgb), var(--bs-link-underline-opacity, 1)) !important}.link-underline-opacity-0{--bs-link-underline-opacity: 0}.link-underline-opacity-0-hover:hover{--bs-link-underline-opacity: 0}.link-underline-opacity-10{--bs-link-underline-opacity: .1}.link-underline-opacity-10-hover:hover{--bs-link-underline-opacity: .1}.link-underline-opacity-25{--bs-link-underline-opacity: .25}.link-underline-opacity-25-hover:hover{--bs-link-underline-opacity: .25}.link-underline-opacity-50{--bs-link-underline-opacity: .5}.link-underline-opacity-50-hover:hover{--bs-link-underline-opacity: .5}.link-underline-opacity-75{--bs-link-underline-opacity: .75}.link-underline-opacity-75-hover:hover{--bs-link-underline-opacity: .75}.link-underline-opacity-100{--bs-link-underline-opacity: 1}.link-underline-opacity-100-hover:hover{--bs-link-underline-opacity: 1}.bg-default{--bs-bg-opacity: 1;background-color:rgba(var(--bs-default-rgb), var(--bs-bg-opacity)) !important}.bg-primary{--bs-bg-opacity: 1;background-color:rgba(var(--bs-primary-rgb), var(--bs-bg-opacity)) !important}.bg-secondary{--bs-bg-opacity: 1;background-color:rgba(var(--bs-secondary-rgb), var(--bs-bg-opacity)) !important}.bg-success{--bs-bg-opacity: 1;background-color:rgba(var(--bs-success-rgb), var(--bs-bg-opacity)) !important}.bg-info{--bs-bg-opacity: 1;background-color:rgba(var(--bs-info-rgb), var(--bs-bg-opacity)) !important}.bg-warning{--bs-bg-opacity: 1;background-color:rgba(var(--bs-warning-rgb), var(--bs-bg-opacity)) !important}.bg-danger{--bs-bg-opacity: 1;background-color:rgba(var(--bs-danger-rgb), var(--bs-bg-opacity)) !important}.bg-light{--bs-bg-opacity: 1;background-color:rgba(var(--bs-light-rgb), var(--bs-bg-opacity)) !important}.bg-dark{--bs-bg-opacity: 1;background-color:rgba(var(--bs-dark-rgb), var(--bs-bg-opacity)) !important}.bg-black{--bs-bg-opacity: 1;background-color:rgba(var(--bs-black-rgb), var(--bs-bg-opacity)) !important}.bg-white{--bs-bg-opacity: 1;background-color:rgba(var(--bs-white-rgb), var(--bs-bg-opacity)) !important}.bg-body{--bs-bg-opacity: 1;background-color:rgba(var(--bs-body-bg-rgb), var(--bs-bg-opacity)) !important}.bg-transparent{--bs-bg-opacity: 1;background-color:rgba(0,0,0,0) !important}.bg-body-secondary{--bs-bg-opacity: 1;background-color:rgba(var(--bs-secondary-bg-rgb), var(--bs-bg-opacity)) !important}.bg-body-tertiary{--bs-bg-opacity: 1;background-color:rgba(var(--bs-tertiary-bg-rgb), var(--bs-bg-opacity)) !important}.bg-opacity-10{--bs-bg-opacity: .1}.bg-opacity-25{--bs-bg-opacity: .25}.bg-opacity-50{--bs-bg-opacity: .5}.bg-opacity-75{--bs-bg-opacity: .75}.bg-opacity-100{--bs-bg-opacity: 1}.bg-primary-subtle{background-color:var(--bs-primary-bg-subtle) !important}.bg-secondary-subtle{background-color:var(--bs-secondary-bg-subtle) !important}.bg-success-subtle{background-color:var(--bs-success-bg-subtle) !important}.bg-info-subtle{background-color:var(--bs-info-bg-subtle) !important}.bg-warning-subtle{background-color:var(--bs-warning-bg-subtle) !important}.bg-danger-subtle{background-color:var(--bs-danger-bg-subtle) !important}.bg-light-subtle{background-color:var(--bs-light-bg-subtle) !important}.bg-dark-subtle{background-color:var(--bs-dark-bg-subtle) !important}.bg-gradient{background-image:var(--bs-gradient) !important}.user-select-all{user-select:all !important}.user-select-auto{user-select:auto !important}.user-select-none{user-select:none !important}.pe-none{pointer-events:none !important}.pe-auto{pointer-events:auto !important}.rounded{border-radius:var(--bs-border-radius) !important}.rounded-0{border-radius:0 !important}.rounded-1{border-radius:var(--bs-border-radius-sm) !important}.rounded-2{border-radius:var(--bs-border-radius) !important}.rounded-3{border-radius:var(--bs-border-radius-lg) !important}.rounded-4{border-radius:var(--bs-border-radius-xl) !important}.rounded-5{border-radius:var(--bs-border-radius-xxl) !important}.rounded-circle{border-radius:50% !important}.rounded-pill{border-radius:var(--bs-border-radius-pill) !important}.rounded-top{border-top-left-radius:var(--bs-border-radius) !important;border-top-right-radius:var(--bs-border-radius) !important}.rounded-top-0{border-top-left-radius:0 !important;border-top-right-radius:0 !important}.rounded-top-1{border-top-left-radius:var(--bs-border-radius-sm) !important;border-top-right-radius:var(--bs-border-radius-sm) !important}.rounded-top-2{border-top-left-radius:var(--bs-border-radius) !important;border-top-right-radius:var(--bs-border-radius) !important}.rounded-top-3{border-top-left-radius:var(--bs-border-radius-lg) !important;border-top-right-radius:var(--bs-border-radius-lg) !important}.rounded-top-4{border-top-left-radius:var(--bs-border-radius-xl) !important;border-top-right-radius:var(--bs-border-radius-xl) !important}.rounded-top-5{border-top-left-radius:var(--bs-border-radius-xxl) !important;border-top-right-radius:var(--bs-border-radius-xxl) !important}.rounded-top-circle{border-top-left-radius:50% !important;border-top-right-radius:50% !important}.rounded-top-pill{border-top-left-radius:var(--bs-border-radius-pill) !important;border-top-right-radius:var(--bs-border-radius-pill) !important}.rounded-end{border-top-right-radius:var(--bs-border-radius) !important;border-bottom-right-radius:var(--bs-border-radius) !important}.rounded-end-0{border-top-right-radius:0 !important;border-bottom-right-radius:0 !important}.rounded-end-1{border-top-right-radius:var(--bs-border-radius-sm) !important;border-bottom-right-radius:var(--bs-border-radius-sm) !important}.rounded-end-2{border-top-right-radius:var(--bs-border-radius) !important;border-bottom-right-radius:var(--bs-border-radius) !important}.rounded-end-3{border-top-right-radius:var(--bs-border-radius-lg) !important;border-bottom-right-radius:var(--bs-border-radius-lg) !important}.rounded-end-4{border-top-right-radius:var(--bs-border-radius-xl) !important;border-bottom-right-radius:var(--bs-border-radius-xl) !important}.rounded-end-5{border-top-right-radius:var(--bs-border-radius-xxl) !important;border-bottom-right-radius:var(--bs-border-radius-xxl) !important}.rounded-end-circle{border-top-right-radius:50% !important;border-bottom-right-radius:50% !important}.rounded-end-pill{border-top-right-radius:var(--bs-border-radius-pill) !important;border-bottom-right-radius:var(--bs-border-radius-pill) !important}.rounded-bottom{border-bottom-right-radius:var(--bs-border-radius) !important;border-bottom-left-radius:var(--bs-border-radius) !important}.rounded-bottom-0{border-bottom-right-radius:0 !important;border-bottom-left-radius:0 !important}.rounded-bottom-1{border-bottom-right-radius:var(--bs-border-radius-sm) !important;border-bottom-left-radius:var(--bs-border-radius-sm) !important}.rounded-bottom-2{border-bottom-right-radius:var(--bs-border-radius) !important;border-bottom-left-radius:var(--bs-border-radius) !important}.rounded-bottom-3{border-bottom-right-radius:var(--bs-border-radius-lg) !important;border-bottom-left-radius:var(--bs-border-radius-lg) !important}.rounded-bottom-4{border-bottom-right-radius:var(--bs-border-radius-xl) !important;border-bottom-left-radius:var(--bs-border-radius-xl) !important}.rounded-bottom-5{border-bottom-right-radius:var(--bs-border-radius-xxl) !important;border-bottom-left-radius:var(--bs-border-radius-xxl) !important}.rounded-bottom-circle{border-bottom-right-radius:50% !important;border-bottom-left-radius:50% !important}.rounded-bottom-pill{border-bottom-right-radius:var(--bs-border-radius-pill) !important;border-bottom-left-radius:var(--bs-border-radius-pill) !important}.rounded-start{border-bottom-left-radius:var(--bs-border-radius) !important;border-top-left-radius:var(--bs-border-radius) !important}.rounded-start-0{border-bottom-left-radius:0 !important;border-top-left-radius:0 !important}.rounded-start-1{border-bottom-left-radius:var(--bs-border-radius-sm) !important;border-top-left-radius:var(--bs-border-radius-sm) !important}.rounded-start-2{border-bottom-left-radius:var(--bs-border-radius) !important;border-top-left-radius:var(--bs-border-radius) !important}.rounded-start-3{border-bottom-left-radius:var(--bs-border-radius-lg) !important;border-top-left-radius:var(--bs-border-radius-lg) !important}.rounded-start-4{border-bottom-left-radius:var(--bs-border-radius-xl) !important;border-top-left-radius:var(--bs-border-radius-xl) !important}.rounded-start-5{border-bottom-left-radius:var(--bs-border-radius-xxl) !important;border-top-left-radius:var(--bs-border-radius-xxl) !important}.rounded-start-circle{border-bottom-left-radius:50% !important;border-top-left-radius:50% !important}.rounded-start-pill{border-bottom-left-radius:var(--bs-border-radius-pill) !important;border-top-left-radius:var(--bs-border-radius-pill) !important}.visible{visibility:visible !important}.invisible{visibility:hidden !important}.z-n1{z-index:-1 !important}.z-0{z-index:0 !important}.z-1{z-index:1 !important}.z-2{z-index:2 !important}.z-3{z-index:3 !important}@media (min-width: 576px){.float-sm-start{float:left !important}.float-sm-end{float:right !important}.float-sm-none{float:none !important}.object-fit-sm-contain{object-fit:contain !important}.object-fit-sm-cover{object-fit:cover !important}.object-fit-sm-fill{object-fit:fill !important}.object-fit-sm-scale{object-fit:scale-down !important}.object-fit-sm-none{object-fit:none !important}.d-sm-inline{display:inline !important}.d-sm-inline-block{display:inline-block !important}.d-sm-block{display:block !important}.d-sm-grid{display:grid !important}.d-sm-inline-grid{display:inline-grid !important}.d-sm-table{display:table !important}.d-sm-table-row{display:table-row !important}.d-sm-table-cell{display:table-cell !important}.d-sm-flex{display:flex !important}.d-sm-inline-flex{display:inline-flex !important}.d-sm-none{display:none !important}.flex-sm-fill{flex:1 1 auto !important}.flex-sm-row{flex-direction:row !important}.flex-sm-column{flex-direction:column !important}.flex-sm-row-reverse{flex-direction:row-reverse !important}.flex-sm-column-reverse{flex-direction:column-reverse !important}.flex-sm-grow-0{flex-grow:0 !important}.flex-sm-grow-1{flex-grow:1 !important}.flex-sm-shrink-0{flex-shrink:0 !important}.flex-sm-shrink-1{flex-shrink:1 !important}.flex-sm-wrap{flex-wrap:wrap !important}.flex-sm-nowrap{flex-wrap:nowrap !important}.flex-sm-wrap-reverse{flex-wrap:wrap-reverse !important}.justify-content-sm-start{justify-content:flex-start !important}.justify-content-sm-end{justify-content:flex-end !important}.justify-content-sm-center{justify-content:center !important}.justify-content-sm-between{justify-content:space-between !important}.justify-content-sm-around{justify-content:space-around !important}.justify-content-sm-evenly{justify-content:space-evenly !important}.align-items-sm-start{align-items:flex-start !important}.align-items-sm-end{align-items:flex-end !important}.align-items-sm-center{align-items:center !important}.align-items-sm-baseline{align-items:baseline !important}.align-items-sm-stretch{align-items:stretch !important}.align-content-sm-start{align-content:flex-start !important}.align-content-sm-end{align-content:flex-end !important}.align-content-sm-center{align-content:center !important}.align-content-sm-between{align-content:space-between !important}.align-content-sm-around{align-content:space-around !important}.align-content-sm-stretch{align-content:stretch !important}.align-self-sm-auto{align-self:auto !important}.align-self-sm-start{align-self:flex-start !important}.align-self-sm-end{align-self:flex-end !important}.align-self-sm-center{align-self:center !important}.align-self-sm-baseline{align-self:baseline !important}.align-self-sm-stretch{align-self:stretch !important}.order-sm-first{order:-1 !important}.order-sm-0{order:0 !important}.order-sm-1{order:1 !important}.order-sm-2{order:2 !important}.order-sm-3{order:3 !important}.order-sm-4{order:4 !important}.order-sm-5{order:5 !important}.order-sm-last{order:6 !important}.m-sm-0{margin:0 !important}.m-sm-1{margin:.25rem !important}.m-sm-2{margin:.5rem !important}.m-sm-3{margin:1rem !important}.m-sm-4{margin:1.5rem !important}.m-sm-5{margin:3rem !important}.m-sm-auto{margin:auto !important}.mx-sm-0{margin-right:0 !important;margin-left:0 !important}.mx-sm-1{margin-right:.25rem !important;margin-left:.25rem !important}.mx-sm-2{margin-right:.5rem !important;margin-left:.5rem !important}.mx-sm-3{margin-right:1rem !important;margin-left:1rem !important}.mx-sm-4{margin-right:1.5rem !important;margin-left:1.5rem !important}.mx-sm-5{margin-right:3rem !important;margin-left:3rem !important}.mx-sm-auto{margin-right:auto !important;margin-left:auto !important}.my-sm-0{margin-top:0 !important;margin-bottom:0 !important}.my-sm-1{margin-top:.25rem !important;margin-bottom:.25rem !important}.my-sm-2{margin-top:.5rem !important;margin-bottom:.5rem !important}.my-sm-3{margin-top:1rem !important;margin-bottom:1rem !important}.my-sm-4{margin-top:1.5rem !important;margin-bottom:1.5rem !important}.my-sm-5{margin-top:3rem !important;margin-bottom:3rem !important}.my-sm-auto{margin-top:auto !important;margin-bottom:auto !important}.mt-sm-0{margin-top:0 !important}.mt-sm-1{margin-top:.25rem !important}.mt-sm-2{margin-top:.5rem !important}.mt-sm-3{margin-top:1rem !important}.mt-sm-4{margin-top:1.5rem !important}.mt-sm-5{margin-top:3rem !important}.mt-sm-auto{margin-top:auto !important}.me-sm-0{margin-right:0 !important}.me-sm-1{margin-right:.25rem !important}.me-sm-2{margin-right:.5rem !important}.me-sm-3{margin-right:1rem !important}.me-sm-4{margin-right:1.5rem !important}.me-sm-5{margin-right:3rem !important}.me-sm-auto{margin-right:auto !important}.mb-sm-0{margin-bottom:0 !important}.mb-sm-1{margin-bottom:.25rem !important}.mb-sm-2{margin-bottom:.5rem !important}.mb-sm-3{margin-bottom:1rem !important}.mb-sm-4{margin-bottom:1.5rem !important}.mb-sm-5{margin-bottom:3rem !important}.mb-sm-auto{margin-bottom:auto !important}.ms-sm-0{margin-left:0 !important}.ms-sm-1{margin-left:.25rem !important}.ms-sm-2{margin-left:.5rem !important}.ms-sm-3{margin-left:1rem !important}.ms-sm-4{margin-left:1.5rem !important}.ms-sm-5{margin-left:3rem !important}.ms-sm-auto{margin-left:auto !important}.p-sm-0{padding:0 !important}.p-sm-1{padding:.25rem !important}.p-sm-2{padding:.5rem !important}.p-sm-3{padding:1rem !important}.p-sm-4{padding:1.5rem !important}.p-sm-5{padding:3rem !important}.px-sm-0{padding-right:0 !important;padding-left:0 !important}.px-sm-1{padding-right:.25rem !important;padding-left:.25rem !important}.px-sm-2{padding-right:.5rem !important;padding-left:.5rem !important}.px-sm-3{padding-right:1rem !important;padding-left:1rem !important}.px-sm-4{padding-right:1.5rem !important;padding-left:1.5rem !important}.px-sm-5{padding-right:3rem !important;padding-left:3rem !important}.py-sm-0{padding-top:0 !important;padding-bottom:0 !important}.py-sm-1{padding-top:.25rem !important;padding-bottom:.25rem !important}.py-sm-2{padding-top:.5rem !important;padding-bottom:.5rem !important}.py-sm-3{padding-top:1rem !important;padding-bottom:1rem !important}.py-sm-4{padding-top:1.5rem !important;padding-bottom:1.5rem !important}.py-sm-5{padding-top:3rem !important;padding-bottom:3rem !important}.pt-sm-0{padding-top:0 !important}.pt-sm-1{padding-top:.25rem !important}.pt-sm-2{padding-top:.5rem !important}.pt-sm-3{padding-top:1rem !important}.pt-sm-4{padding-top:1.5rem !important}.pt-sm-5{padding-top:3rem !important}.pe-sm-0{padding-right:0 !important}.pe-sm-1{padding-right:.25rem !important}.pe-sm-2{padding-right:.5rem !important}.pe-sm-3{padding-right:1rem !important}.pe-sm-4{padding-right:1.5rem !important}.pe-sm-5{padding-right:3rem !important}.pb-sm-0{padding-bottom:0 !important}.pb-sm-1{padding-bottom:.25rem !important}.pb-sm-2{padding-bottom:.5rem !important}.pb-sm-3{padding-bottom:1rem !important}.pb-sm-4{padding-bottom:1.5rem !important}.pb-sm-5{padding-bottom:3rem !important}.ps-sm-0{padding-left:0 !important}.ps-sm-1{padding-left:.25rem !important}.ps-sm-2{padding-left:.5rem !important}.ps-sm-3{padding-left:1rem !important}.ps-sm-4{padding-left:1.5rem !important}.ps-sm-5{padding-left:3rem !important}.gap-sm-0{gap:0 !important}.gap-sm-1{gap:.25rem !important}.gap-sm-2{gap:.5rem !important}.gap-sm-3{gap:1rem !important}.gap-sm-4{gap:1.5rem !important}.gap-sm-5{gap:3rem !important}.row-gap-sm-0{row-gap:0 !important}.row-gap-sm-1{row-gap:.25rem !important}.row-gap-sm-2{row-gap:.5rem !important}.row-gap-sm-3{row-gap:1rem !important}.row-gap-sm-4{row-gap:1.5rem !important}.row-gap-sm-5{row-gap:3rem !important}.column-gap-sm-0{column-gap:0 !important}.column-gap-sm-1{column-gap:.25rem !important}.column-gap-sm-2{column-gap:.5rem !important}.column-gap-sm-3{column-gap:1rem !important}.column-gap-sm-4{column-gap:1.5rem !important}.column-gap-sm-5{column-gap:3rem !important}.text-sm-start{text-align:left !important}.text-sm-end{text-align:right !important}.text-sm-center{text-align:center !important}}@media (min-width: 768px){.float-md-start{float:left !important}.float-md-end{float:right !important}.float-md-none{float:none !important}.object-fit-md-contain{object-fit:contain !important}.object-fit-md-cover{object-fit:cover !important}.object-fit-md-fill{object-fit:fill !important}.object-fit-md-scale{object-fit:scale-down !important}.object-fit-md-none{object-fit:none !important}.d-md-inline{display:inline !important}.d-md-inline-block{display:inline-block !important}.d-md-block{display:block !important}.d-md-grid{display:grid !important}.d-md-inline-grid{display:inline-grid !important}.d-md-table{display:table !important}.d-md-table-row{display:table-row !important}.d-md-table-cell{display:table-cell !important}.d-md-flex{display:flex !important}.d-md-inline-flex{display:inline-flex !important}.d-md-none{display:none !important}.flex-md-fill{flex:1 1 auto !important}.flex-md-row{flex-direction:row !important}.flex-md-column{flex-direction:column !important}.flex-md-row-reverse{flex-direction:row-reverse !important}.flex-md-column-reverse{flex-direction:column-reverse !important}.flex-md-grow-0{flex-grow:0 !important}.flex-md-grow-1{flex-grow:1 !important}.flex-md-shrink-0{flex-shrink:0 !important}.flex-md-shrink-1{flex-shrink:1 !important}.flex-md-wrap{flex-wrap:wrap !important}.flex-md-nowrap{flex-wrap:nowrap !important}.flex-md-wrap-reverse{flex-wrap:wrap-reverse !important}.justify-content-md-start{justify-content:flex-start !important}.justify-content-md-end{justify-content:flex-end !important}.justify-content-md-center{justify-content:center !important}.justify-content-md-between{justify-content:space-between !important}.justify-content-md-around{justify-content:space-around !important}.justify-content-md-evenly{justify-content:space-evenly !important}.align-items-md-start{align-items:flex-start !important}.align-items-md-end{align-items:flex-end !important}.align-items-md-center{align-items:center !important}.align-items-md-baseline{align-items:baseline !important}.align-items-md-stretch{align-items:stretch !important}.align-content-md-start{align-content:flex-start !important}.align-content-md-end{align-content:flex-end !important}.align-content-md-center{align-content:center !important}.align-content-md-between{align-content:space-between !important}.align-content-md-around{align-content:space-around !important}.align-content-md-stretch{align-content:stretch !important}.align-self-md-auto{align-self:auto !important}.align-self-md-start{align-self:flex-start !important}.align-self-md-end{align-self:flex-end !important}.align-self-md-center{align-self:center !important}.align-self-md-baseline{align-self:baseline !important}.align-self-md-stretch{align-self:stretch !important}.order-md-first{order:-1 !important}.order-md-0{order:0 !important}.order-md-1{order:1 !important}.order-md-2{order:2 !important}.order-md-3{order:3 !important}.order-md-4{order:4 !important}.order-md-5{order:5 !important}.order-md-last{order:6 !important}.m-md-0{margin:0 !important}.m-md-1{margin:.25rem !important}.m-md-2{margin:.5rem !important}.m-md-3{margin:1rem !important}.m-md-4{margin:1.5rem !important}.m-md-5{margin:3rem !important}.m-md-auto{margin:auto !important}.mx-md-0{margin-right:0 !important;margin-left:0 !important}.mx-md-1{margin-right:.25rem !important;margin-left:.25rem !important}.mx-md-2{margin-right:.5rem !important;margin-left:.5rem !important}.mx-md-3{margin-right:1rem !important;margin-left:1rem !important}.mx-md-4{margin-right:1.5rem !important;margin-left:1.5rem !important}.mx-md-5{margin-right:3rem !important;margin-left:3rem !important}.mx-md-auto{margin-right:auto !important;margin-left:auto !important}.my-md-0{margin-top:0 !important;margin-bottom:0 !important}.my-md-1{margin-top:.25rem !important;margin-bottom:.25rem !important}.my-md-2{margin-top:.5rem !important;margin-bottom:.5rem !important}.my-md-3{margin-top:1rem !important;margin-bottom:1rem !important}.my-md-4{margin-top:1.5rem !important;margin-bottom:1.5rem !important}.my-md-5{margin-top:3rem !important;margin-bottom:3rem !important}.my-md-auto{margin-top:auto !important;margin-bottom:auto !important}.mt-md-0{margin-top:0 !important}.mt-md-1{margin-top:.25rem !important}.mt-md-2{margin-top:.5rem !important}.mt-md-3{margin-top:1rem !important}.mt-md-4{margin-top:1.5rem !important}.mt-md-5{margin-top:3rem !important}.mt-md-auto{margin-top:auto !important}.me-md-0{margin-right:0 !important}.me-md-1{margin-right:.25rem !important}.me-md-2{margin-right:.5rem !important}.me-md-3{margin-right:1rem !important}.me-md-4{margin-right:1.5rem !important}.me-md-5{margin-right:3rem !important}.me-md-auto{margin-right:auto !important}.mb-md-0{margin-bottom:0 !important}.mb-md-1{margin-bottom:.25rem !important}.mb-md-2{margin-bottom:.5rem !important}.mb-md-3{margin-bottom:1rem !important}.mb-md-4{margin-bottom:1.5rem !important}.mb-md-5{margin-bottom:3rem !important}.mb-md-auto{margin-bottom:auto !important}.ms-md-0{margin-left:0 !important}.ms-md-1{margin-left:.25rem !important}.ms-md-2{margin-left:.5rem !important}.ms-md-3{margin-left:1rem !important}.ms-md-4{margin-left:1.5rem !important}.ms-md-5{margin-left:3rem !important}.ms-md-auto{margin-left:auto !important}.p-md-0{padding:0 !important}.p-md-1{padding:.25rem !important}.p-md-2{padding:.5rem !important}.p-md-3{padding:1rem !important}.p-md-4{padding:1.5rem !important}.p-md-5{padding:3rem !important}.px-md-0{padding-right:0 !important;padding-left:0 !important}.px-md-1{padding-right:.25rem !important;padding-left:.25rem !important}.px-md-2{padding-right:.5rem !important;padding-left:.5rem !important}.px-md-3{padding-right:1rem !important;padding-left:1rem !important}.px-md-4{padding-right:1.5rem !important;padding-left:1.5rem !important}.px-md-5{padding-right:3rem !important;padding-left:3rem !important}.py-md-0{padding-top:0 !important;padding-bottom:0 !important}.py-md-1{padding-top:.25rem !important;padding-bottom:.25rem !important}.py-md-2{padding-top:.5rem !important;padding-bottom:.5rem !important}.py-md-3{padding-top:1rem !important;padding-bottom:1rem !important}.py-md-4{padding-top:1.5rem !important;padding-bottom:1.5rem !important}.py-md-5{padding-top:3rem !important;padding-bottom:3rem !important}.pt-md-0{padding-top:0 !important}.pt-md-1{padding-top:.25rem !important}.pt-md-2{padding-top:.5rem !important}.pt-md-3{padding-top:1rem !important}.pt-md-4{padding-top:1.5rem !important}.pt-md-5{padding-top:3rem !important}.pe-md-0{padding-right:0 !important}.pe-md-1{padding-right:.25rem !important}.pe-md-2{padding-right:.5rem !important}.pe-md-3{padding-right:1rem !important}.pe-md-4{padding-right:1.5rem !important}.pe-md-5{padding-right:3rem !important}.pb-md-0{padding-bottom:0 !important}.pb-md-1{padding-bottom:.25rem !important}.pb-md-2{padding-bottom:.5rem !important}.pb-md-3{padding-bottom:1rem !important}.pb-md-4{padding-bottom:1.5rem !important}.pb-md-5{padding-bottom:3rem !important}.ps-md-0{padding-left:0 !important}.ps-md-1{padding-left:.25rem !important}.ps-md-2{padding-left:.5rem !important}.ps-md-3{padding-left:1rem !important}.ps-md-4{padding-left:1.5rem !important}.ps-md-5{padding-left:3rem !important}.gap-md-0{gap:0 !important}.gap-md-1{gap:.25rem !important}.gap-md-2{gap:.5rem !important}.gap-md-3{gap:1rem !important}.gap-md-4{gap:1.5rem !important}.gap-md-5{gap:3rem !important}.row-gap-md-0{row-gap:0 !important}.row-gap-md-1{row-gap:.25rem !important}.row-gap-md-2{row-gap:.5rem !important}.row-gap-md-3{row-gap:1rem !important}.row-gap-md-4{row-gap:1.5rem !important}.row-gap-md-5{row-gap:3rem !important}.column-gap-md-0{column-gap:0 !important}.column-gap-md-1{column-gap:.25rem !important}.column-gap-md-2{column-gap:.5rem !important}.column-gap-md-3{column-gap:1rem !important}.column-gap-md-4{column-gap:1.5rem !important}.column-gap-md-5{column-gap:3rem !important}.text-md-start{text-align:left !important}.text-md-end{text-align:right !important}.text-md-center{text-align:center !important}}@media (min-width: 992px){.float-lg-start{float:left !important}.float-lg-end{float:right !important}.float-lg-none{float:none !important}.object-fit-lg-contain{object-fit:contain !important}.object-fit-lg-cover{object-fit:cover !important}.object-fit-lg-fill{object-fit:fill !important}.object-fit-lg-scale{object-fit:scale-down !important}.object-fit-lg-none{object-fit:none !important}.d-lg-inline{display:inline !important}.d-lg-inline-block{display:inline-block !important}.d-lg-block{display:block !important}.d-lg-grid{display:grid !important}.d-lg-inline-grid{display:inline-grid !important}.d-lg-table{display:table !important}.d-lg-table-row{display:table-row !important}.d-lg-table-cell{display:table-cell !important}.d-lg-flex{display:flex !important}.d-lg-inline-flex{display:inline-flex !important}.d-lg-none{display:none !important}.flex-lg-fill{flex:1 1 auto !important}.flex-lg-row{flex-direction:row !important}.flex-lg-column{flex-direction:column !important}.flex-lg-row-reverse{flex-direction:row-reverse !important}.flex-lg-column-reverse{flex-direction:column-reverse !important}.flex-lg-grow-0{flex-grow:0 !important}.flex-lg-grow-1{flex-grow:1 !important}.flex-lg-shrink-0{flex-shrink:0 !important}.flex-lg-shrink-1{flex-shrink:1 !important}.flex-lg-wrap{flex-wrap:wrap !important}.flex-lg-nowrap{flex-wrap:nowrap !important}.flex-lg-wrap-reverse{flex-wrap:wrap-reverse !important}.justify-content-lg-start{justify-content:flex-start !important}.justify-content-lg-end{justify-content:flex-end !important}.justify-content-lg-center{justify-content:center !important}.justify-content-lg-between{justify-content:space-between !important}.justify-content-lg-around{justify-content:space-around !important}.justify-content-lg-evenly{justify-content:space-evenly !important}.align-items-lg-start{align-items:flex-start !important}.align-items-lg-end{align-items:flex-end !important}.align-items-lg-center{align-items:center !important}.align-items-lg-baseline{align-items:baseline !important}.align-items-lg-stretch{align-items:stretch !important}.align-content-lg-start{align-content:flex-start !important}.align-content-lg-end{align-content:flex-end !important}.align-content-lg-center{align-content:center !important}.align-content-lg-between{align-content:space-between !important}.align-content-lg-around{align-content:space-around !important}.align-content-lg-stretch{align-content:stretch !important}.align-self-lg-auto{align-self:auto !important}.align-self-lg-start{align-self:flex-start !important}.align-self-lg-end{align-self:flex-end !important}.align-self-lg-center{align-self:center !important}.align-self-lg-baseline{align-self:baseline !important}.align-self-lg-stretch{align-self:stretch !important}.order-lg-first{order:-1 !important}.order-lg-0{order:0 !important}.order-lg-1{order:1 !important}.order-lg-2{order:2 !important}.order-lg-3{order:3 !important}.order-lg-4{order:4 !important}.order-lg-5{order:5 !important}.order-lg-last{order:6 !important}.m-lg-0{margin:0 !important}.m-lg-1{margin:.25rem !important}.m-lg-2{margin:.5rem !important}.m-lg-3{margin:1rem !important}.m-lg-4{margin:1.5rem !important}.m-lg-5{margin:3rem !important}.m-lg-auto{margin:auto !important}.mx-lg-0{margin-right:0 !important;margin-left:0 !important}.mx-lg-1{margin-right:.25rem !important;margin-left:.25rem !important}.mx-lg-2{margin-right:.5rem !important;margin-left:.5rem !important}.mx-lg-3{margin-right:1rem !important;margin-left:1rem !important}.mx-lg-4{margin-right:1.5rem !important;margin-left:1.5rem !important}.mx-lg-5{margin-right:3rem !important;margin-left:3rem !important}.mx-lg-auto{margin-right:auto !important;margin-left:auto !important}.my-lg-0{margin-top:0 !important;margin-bottom:0 !important}.my-lg-1{margin-top:.25rem !important;margin-bottom:.25rem !important}.my-lg-2{margin-top:.5rem !important;margin-bottom:.5rem !important}.my-lg-3{margin-top:1rem !important;margin-bottom:1rem !important}.my-lg-4{margin-top:1.5rem !important;margin-bottom:1.5rem !important}.my-lg-5{margin-top:3rem !important;margin-bottom:3rem !important}.my-lg-auto{margin-top:auto !important;margin-bottom:auto !important}.mt-lg-0{margin-top:0 !important}.mt-lg-1{margin-top:.25rem !important}.mt-lg-2{margin-top:.5rem !important}.mt-lg-3{margin-top:1rem !important}.mt-lg-4{margin-top:1.5rem !important}.mt-lg-5{margin-top:3rem !important}.mt-lg-auto{margin-top:auto !important}.me-lg-0{margin-right:0 !important}.me-lg-1{margin-right:.25rem !important}.me-lg-2{margin-right:.5rem !important}.me-lg-3{margin-right:1rem !important}.me-lg-4{margin-right:1.5rem !important}.me-lg-5{margin-right:3rem !important}.me-lg-auto{margin-right:auto !important}.mb-lg-0{margin-bottom:0 !important}.mb-lg-1{margin-bottom:.25rem !important}.mb-lg-2{margin-bottom:.5rem !important}.mb-lg-3{margin-bottom:1rem !important}.mb-lg-4{margin-bottom:1.5rem !important}.mb-lg-5{margin-bottom:3rem !important}.mb-lg-auto{margin-bottom:auto !important}.ms-lg-0{margin-left:0 !important}.ms-lg-1{margin-left:.25rem !important}.ms-lg-2{margin-left:.5rem !important}.ms-lg-3{margin-left:1rem !important}.ms-lg-4{margin-left:1.5rem !important}.ms-lg-5{margin-left:3rem !important}.ms-lg-auto{margin-left:auto !important}.p-lg-0{padding:0 !important}.p-lg-1{padding:.25rem !important}.p-lg-2{padding:.5rem !important}.p-lg-3{padding:1rem !important}.p-lg-4{padding:1.5rem !important}.p-lg-5{padding:3rem !important}.px-lg-0{padding-right:0 !important;padding-left:0 !important}.px-lg-1{padding-right:.25rem !important;padding-left:.25rem !important}.px-lg-2{padding-right:.5rem !important;padding-left:.5rem !important}.px-lg-3{padding-right:1rem !important;padding-left:1rem !important}.px-lg-4{padding-right:1.5rem !important;padding-left:1.5rem !important}.px-lg-5{padding-right:3rem !important;padding-left:3rem !important}.py-lg-0{padding-top:0 !important;padding-bottom:0 !important}.py-lg-1{padding-top:.25rem !important;padding-bottom:.25rem !important}.py-lg-2{padding-top:.5rem !important;padding-bottom:.5rem !important}.py-lg-3{padding-top:1rem !important;padding-bottom:1rem !important}.py-lg-4{padding-top:1.5rem !important;padding-bottom:1.5rem !important}.py-lg-5{padding-top:3rem !important;padding-bottom:3rem !important}.pt-lg-0{padding-top:0 !important}.pt-lg-1{padding-top:.25rem !important}.pt-lg-2{padding-top:.5rem !important}.pt-lg-3{padding-top:1rem !important}.pt-lg-4{padding-top:1.5rem !important}.pt-lg-5{padding-top:3rem !important}.pe-lg-0{padding-right:0 !important}.pe-lg-1{padding-right:.25rem !important}.pe-lg-2{padding-right:.5rem !important}.pe-lg-3{padding-right:1rem !important}.pe-lg-4{padding-right:1.5rem !important}.pe-lg-5{padding-right:3rem !important}.pb-lg-0{padding-bottom:0 !important}.pb-lg-1{padding-bottom:.25rem !important}.pb-lg-2{padding-bottom:.5rem !important}.pb-lg-3{padding-bottom:1rem !important}.pb-lg-4{padding-bottom:1.5rem !important}.pb-lg-5{padding-bottom:3rem !important}.ps-lg-0{padding-left:0 !important}.ps-lg-1{padding-left:.25rem !important}.ps-lg-2{padding-left:.5rem !important}.ps-lg-3{padding-left:1rem !important}.ps-lg-4{padding-left:1.5rem !important}.ps-lg-5{padding-left:3rem !important}.gap-lg-0{gap:0 !important}.gap-lg-1{gap:.25rem !important}.gap-lg-2{gap:.5rem !important}.gap-lg-3{gap:1rem !important}.gap-lg-4{gap:1.5rem !important}.gap-lg-5{gap:3rem !important}.row-gap-lg-0{row-gap:0 !important}.row-gap-lg-1{row-gap:.25rem !important}.row-gap-lg-2{row-gap:.5rem !important}.row-gap-lg-3{row-gap:1rem !important}.row-gap-lg-4{row-gap:1.5rem !important}.row-gap-lg-5{row-gap:3rem !important}.column-gap-lg-0{column-gap:0 !important}.column-gap-lg-1{column-gap:.25rem !important}.column-gap-lg-2{column-gap:.5rem !important}.column-gap-lg-3{column-gap:1rem !important}.column-gap-lg-4{column-gap:1.5rem !important}.column-gap-lg-5{column-gap:3rem !important}.text-lg-start{text-align:left !important}.text-lg-end{text-align:right !important}.text-lg-center{text-align:center !important}}@media (min-width: 1200px){.float-xl-start{float:left !important}.float-xl-end{float:right !important}.float-xl-none{float:none !important}.object-fit-xl-contain{object-fit:contain !important}.object-fit-xl-cover{object-fit:cover !important}.object-fit-xl-fill{object-fit:fill !important}.object-fit-xl-scale{object-fit:scale-down !important}.object-fit-xl-none{object-fit:none !important}.d-xl-inline{display:inline !important}.d-xl-inline-block{display:inline-block !important}.d-xl-block{display:block !important}.d-xl-grid{display:grid !important}.d-xl-inline-grid{display:inline-grid !important}.d-xl-table{display:table !important}.d-xl-table-row{display:table-row !important}.d-xl-table-cell{display:table-cell !important}.d-xl-flex{display:flex !important}.d-xl-inline-flex{display:inline-flex !important}.d-xl-none{display:none !important}.flex-xl-fill{flex:1 1 auto !important}.flex-xl-row{flex-direction:row !important}.flex-xl-column{flex-direction:column !important}.flex-xl-row-reverse{flex-direction:row-reverse !important}.flex-xl-column-reverse{flex-direction:column-reverse !important}.flex-xl-grow-0{flex-grow:0 !important}.flex-xl-grow-1{flex-grow:1 !important}.flex-xl-shrink-0{flex-shrink:0 !important}.flex-xl-shrink-1{flex-shrink:1 !important}.flex-xl-wrap{flex-wrap:wrap !important}.flex-xl-nowrap{flex-wrap:nowrap !important}.flex-xl-wrap-reverse{flex-wrap:wrap-reverse !important}.justify-content-xl-start{justify-content:flex-start !important}.justify-content-xl-end{justify-content:flex-end !important}.justify-content-xl-center{justify-content:center !important}.justify-content-xl-between{justify-content:space-between !important}.justify-content-xl-around{justify-content:space-around !important}.justify-content-xl-evenly{justify-content:space-evenly !important}.align-items-xl-start{align-items:flex-start !important}.align-items-xl-end{align-items:flex-end !important}.align-items-xl-center{align-items:center !important}.align-items-xl-baseline{align-items:baseline !important}.align-items-xl-stretch{align-items:stretch !important}.align-content-xl-start{align-content:flex-start !important}.align-content-xl-end{align-content:flex-end !important}.align-content-xl-center{align-content:center !important}.align-content-xl-between{align-content:space-between !important}.align-content-xl-around{align-content:space-around !important}.align-content-xl-stretch{align-content:stretch !important}.align-self-xl-auto{align-self:auto !important}.align-self-xl-start{align-self:flex-start !important}.align-self-xl-end{align-self:flex-end !important}.align-self-xl-center{align-self:center !important}.align-self-xl-baseline{align-self:baseline !important}.align-self-xl-stretch{align-self:stretch !important}.order-xl-first{order:-1 !important}.order-xl-0{order:0 !important}.order-xl-1{order:1 !important}.order-xl-2{order:2 !important}.order-xl-3{order:3 !important}.order-xl-4{order:4 !important}.order-xl-5{order:5 !important}.order-xl-last{order:6 !important}.m-xl-0{margin:0 !important}.m-xl-1{margin:.25rem !important}.m-xl-2{margin:.5rem !important}.m-xl-3{margin:1rem !important}.m-xl-4{margin:1.5rem !important}.m-xl-5{margin:3rem !important}.m-xl-auto{margin:auto !important}.mx-xl-0{margin-right:0 !important;margin-left:0 !important}.mx-xl-1{margin-right:.25rem !important;margin-left:.25rem !important}.mx-xl-2{margin-right:.5rem !important;margin-left:.5rem !important}.mx-xl-3{margin-right:1rem !important;margin-left:1rem !important}.mx-xl-4{margin-right:1.5rem !important;margin-left:1.5rem !important}.mx-xl-5{margin-right:3rem !important;margin-left:3rem !important}.mx-xl-auto{margin-right:auto !important;margin-left:auto !important}.my-xl-0{margin-top:0 !important;margin-bottom:0 !important}.my-xl-1{margin-top:.25rem !important;margin-bottom:.25rem !important}.my-xl-2{margin-top:.5rem !important;margin-bottom:.5rem !important}.my-xl-3{margin-top:1rem !important;margin-bottom:1rem !important}.my-xl-4{margin-top:1.5rem !important;margin-bottom:1.5rem !important}.my-xl-5{margin-top:3rem !important;margin-bottom:3rem !important}.my-xl-auto{margin-top:auto !important;margin-bottom:auto !important}.mt-xl-0{margin-top:0 !important}.mt-xl-1{margin-top:.25rem !important}.mt-xl-2{margin-top:.5rem !important}.mt-xl-3{margin-top:1rem !important}.mt-xl-4{margin-top:1.5rem !important}.mt-xl-5{margin-top:3rem !important}.mt-xl-auto{margin-top:auto !important}.me-xl-0{margin-right:0 !important}.me-xl-1{margin-right:.25rem !important}.me-xl-2{margin-right:.5rem !important}.me-xl-3{margin-right:1rem !important}.me-xl-4{margin-right:1.5rem !important}.me-xl-5{margin-right:3rem !important}.me-xl-auto{margin-right:auto !important}.mb-xl-0{margin-bottom:0 !important}.mb-xl-1{margin-bottom:.25rem !important}.mb-xl-2{margin-bottom:.5rem !important}.mb-xl-3{margin-bottom:1rem !important}.mb-xl-4{margin-bottom:1.5rem !important}.mb-xl-5{margin-bottom:3rem !important}.mb-xl-auto{margin-bottom:auto !important}.ms-xl-0{margin-left:0 !important}.ms-xl-1{margin-left:.25rem !important}.ms-xl-2{margin-left:.5rem !important}.ms-xl-3{margin-left:1rem !important}.ms-xl-4{margin-left:1.5rem !important}.ms-xl-5{margin-left:3rem !important}.ms-xl-auto{margin-left:auto !important}.p-xl-0{padding:0 !important}.p-xl-1{padding:.25rem !important}.p-xl-2{padding:.5rem !important}.p-xl-3{padding:1rem !important}.p-xl-4{padding:1.5rem !important}.p-xl-5{padding:3rem !important}.px-xl-0{padding-right:0 !important;padding-left:0 !important}.px-xl-1{padding-right:.25rem !important;padding-left:.25rem !important}.px-xl-2{padding-right:.5rem !important;padding-left:.5rem !important}.px-xl-3{padding-right:1rem !important;padding-left:1rem !important}.px-xl-4{padding-right:1.5rem !important;padding-left:1.5rem !important}.px-xl-5{padding-right:3rem !important;padding-left:3rem !important}.py-xl-0{padding-top:0 !important;padding-bottom:0 !important}.py-xl-1{padding-top:.25rem !important;padding-bottom:.25rem !important}.py-xl-2{padding-top:.5rem !important;padding-bottom:.5rem !important}.py-xl-3{padding-top:1rem !important;padding-bottom:1rem !important}.py-xl-4{padding-top:1.5rem !important;padding-bottom:1.5rem !important}.py-xl-5{padding-top:3rem !important;padding-bottom:3rem !important}.pt-xl-0{padding-top:0 !important}.pt-xl-1{padding-top:.25rem !important}.pt-xl-2{padding-top:.5rem !important}.pt-xl-3{padding-top:1rem !important}.pt-xl-4{padding-top:1.5rem !important}.pt-xl-5{padding-top:3rem !important}.pe-xl-0{padding-right:0 !important}.pe-xl-1{padding-right:.25rem !important}.pe-xl-2{padding-right:.5rem !important}.pe-xl-3{padding-right:1rem !important}.pe-xl-4{padding-right:1.5rem !important}.pe-xl-5{padding-right:3rem !important}.pb-xl-0{padding-bottom:0 !important}.pb-xl-1{padding-bottom:.25rem !important}.pb-xl-2{padding-bottom:.5rem !important}.pb-xl-3{padding-bottom:1rem !important}.pb-xl-4{padding-bottom:1.5rem !important}.pb-xl-5{padding-bottom:3rem !important}.ps-xl-0{padding-left:0 !important}.ps-xl-1{padding-left:.25rem !important}.ps-xl-2{padding-left:.5rem !important}.ps-xl-3{padding-left:1rem !important}.ps-xl-4{padding-left:1.5rem !important}.ps-xl-5{padding-left:3rem !important}.gap-xl-0{gap:0 !important}.gap-xl-1{gap:.25rem !important}.gap-xl-2{gap:.5rem !important}.gap-xl-3{gap:1rem !important}.gap-xl-4{gap:1.5rem !important}.gap-xl-5{gap:3rem !important}.row-gap-xl-0{row-gap:0 !important}.row-gap-xl-1{row-gap:.25rem !important}.row-gap-xl-2{row-gap:.5rem !important}.row-gap-xl-3{row-gap:1rem !important}.row-gap-xl-4{row-gap:1.5rem !important}.row-gap-xl-5{row-gap:3rem !important}.column-gap-xl-0{column-gap:0 !important}.column-gap-xl-1{column-gap:.25rem !important}.column-gap-xl-2{column-gap:.5rem !important}.column-gap-xl-3{column-gap:1rem !important}.column-gap-xl-4{column-gap:1.5rem !important}.column-gap-xl-5{column-gap:3rem !important}.text-xl-start{text-align:left !important}.text-xl-end{text-align:right !important}.text-xl-center{text-align:center !important}}@media (min-width: 1400px){.float-xxl-start{float:left !important}.float-xxl-end{float:right !important}.float-xxl-none{float:none !important}.object-fit-xxl-contain{object-fit:contain !important}.object-fit-xxl-cover{object-fit:cover !important}.object-fit-xxl-fill{object-fit:fill !important}.object-fit-xxl-scale{object-fit:scale-down !important}.object-fit-xxl-none{object-fit:none !important}.d-xxl-inline{display:inline !important}.d-xxl-inline-block{display:inline-block !important}.d-xxl-block{display:block !important}.d-xxl-grid{display:grid !important}.d-xxl-inline-grid{display:inline-grid !important}.d-xxl-table{display:table !important}.d-xxl-table-row{display:table-row !important}.d-xxl-table-cell{display:table-cell !important}.d-xxl-flex{display:flex !important}.d-xxl-inline-flex{display:inline-flex !important}.d-xxl-none{display:none !important}.flex-xxl-fill{flex:1 1 auto !important}.flex-xxl-row{flex-direction:row !important}.flex-xxl-column{flex-direction:column !important}.flex-xxl-row-reverse{flex-direction:row-reverse !important}.flex-xxl-column-reverse{flex-direction:column-reverse !important}.flex-xxl-grow-0{flex-grow:0 !important}.flex-xxl-grow-1{flex-grow:1 !important}.flex-xxl-shrink-0{flex-shrink:0 !important}.flex-xxl-shrink-1{flex-shrink:1 !important}.flex-xxl-wrap{flex-wrap:wrap !important}.flex-xxl-nowrap{flex-wrap:nowrap !important}.flex-xxl-wrap-reverse{flex-wrap:wrap-reverse !important}.justify-content-xxl-start{justify-content:flex-start !important}.justify-content-xxl-end{justify-content:flex-end !important}.justify-content-xxl-center{justify-content:center !important}.justify-content-xxl-between{justify-content:space-between !important}.justify-content-xxl-around{justify-content:space-around !important}.justify-content-xxl-evenly{justify-content:space-evenly !important}.align-items-xxl-start{align-items:flex-start !important}.align-items-xxl-end{align-items:flex-end !important}.align-items-xxl-center{align-items:center !important}.align-items-xxl-baseline{align-items:baseline !important}.align-items-xxl-stretch{align-items:stretch !important}.align-content-xxl-start{align-content:flex-start !important}.align-content-xxl-end{align-content:flex-end !important}.align-content-xxl-center{align-content:center !important}.align-content-xxl-between{align-content:space-between !important}.align-content-xxl-around{align-content:space-around !important}.align-content-xxl-stretch{align-content:stretch !important}.align-self-xxl-auto{align-self:auto !important}.align-self-xxl-start{align-self:flex-start !important}.align-self-xxl-end{align-self:flex-end !important}.align-self-xxl-center{align-self:center !important}.align-self-xxl-baseline{align-self:baseline !important}.align-self-xxl-stretch{align-self:stretch !important}.order-xxl-first{order:-1 !important}.order-xxl-0{order:0 !important}.order-xxl-1{order:1 !important}.order-xxl-2{order:2 !important}.order-xxl-3{order:3 !important}.order-xxl-4{order:4 !important}.order-xxl-5{order:5 !important}.order-xxl-last{order:6 !important}.m-xxl-0{margin:0 !important}.m-xxl-1{margin:.25rem !important}.m-xxl-2{margin:.5rem !important}.m-xxl-3{margin:1rem !important}.m-xxl-4{margin:1.5rem !important}.m-xxl-5{margin:3rem !important}.m-xxl-auto{margin:auto !important}.mx-xxl-0{margin-right:0 !important;margin-left:0 !important}.mx-xxl-1{margin-right:.25rem !important;margin-left:.25rem !important}.mx-xxl-2{margin-right:.5rem !important;margin-left:.5rem !important}.mx-xxl-3{margin-right:1rem !important;margin-left:1rem !important}.mx-xxl-4{margin-right:1.5rem !important;margin-left:1.5rem !important}.mx-xxl-5{margin-right:3rem !important;margin-left:3rem !important}.mx-xxl-auto{margin-right:auto !important;margin-left:auto !important}.my-xxl-0{margin-top:0 !important;margin-bottom:0 !important}.my-xxl-1{margin-top:.25rem !important;margin-bottom:.25rem !important}.my-xxl-2{margin-top:.5rem !important;margin-bottom:.5rem !important}.my-xxl-3{margin-top:1rem !important;margin-bottom:1rem !important}.my-xxl-4{margin-top:1.5rem !important;margin-bottom:1.5rem !important}.my-xxl-5{margin-top:3rem !important;margin-bottom:3rem !important}.my-xxl-auto{margin-top:auto !important;margin-bottom:auto !important}.mt-xxl-0{margin-top:0 !important}.mt-xxl-1{margin-top:.25rem !important}.mt-xxl-2{margin-top:.5rem !important}.mt-xxl-3{margin-top:1rem !important}.mt-xxl-4{margin-top:1.5rem !important}.mt-xxl-5{margin-top:3rem !important}.mt-xxl-auto{margin-top:auto !important}.me-xxl-0{margin-right:0 !important}.me-xxl-1{margin-right:.25rem !important}.me-xxl-2{margin-right:.5rem !important}.me-xxl-3{margin-right:1rem !important}.me-xxl-4{margin-right:1.5rem !important}.me-xxl-5{margin-right:3rem !important}.me-xxl-auto{margin-right:auto !important}.mb-xxl-0{margin-bottom:0 !important}.mb-xxl-1{margin-bottom:.25rem !important}.mb-xxl-2{margin-bottom:.5rem !important}.mb-xxl-3{margin-bottom:1rem !important}.mb-xxl-4{margin-bottom:1.5rem !important}.mb-xxl-5{margin-bottom:3rem !important}.mb-xxl-auto{margin-bottom:auto !important}.ms-xxl-0{margin-left:0 !important}.ms-xxl-1{margin-left:.25rem !important}.ms-xxl-2{margin-left:.5rem !important}.ms-xxl-3{margin-left:1rem !important}.ms-xxl-4{margin-left:1.5rem !important}.ms-xxl-5{margin-left:3rem !important}.ms-xxl-auto{margin-left:auto !important}.p-xxl-0{padding:0 !important}.p-xxl-1{padding:.25rem !important}.p-xxl-2{padding:.5rem !important}.p-xxl-3{padding:1rem !important}.p-xxl-4{padding:1.5rem !important}.p-xxl-5{padding:3rem !important}.px-xxl-0{padding-right:0 !important;padding-left:0 !important}.px-xxl-1{padding-right:.25rem !important;padding-left:.25rem !important}.px-xxl-2{padding-right:.5rem !important;padding-left:.5rem !important}.px-xxl-3{padding-right:1rem !important;padding-left:1rem !important}.px-xxl-4{padding-right:1.5rem !important;padding-left:1.5rem !important}.px-xxl-5{padding-right:3rem !important;padding-left:3rem !important}.py-xxl-0{padding-top:0 !important;padding-bottom:0 !important}.py-xxl-1{padding-top:.25rem !important;padding-bottom:.25rem !important}.py-xxl-2{padding-top:.5rem !important;padding-bottom:.5rem !important}.py-xxl-3{padding-top:1rem !important;padding-bottom:1rem !important}.py-xxl-4{padding-top:1.5rem !important;padding-bottom:1.5rem !important}.py-xxl-5{padding-top:3rem !important;padding-bottom:3rem !important}.pt-xxl-0{padding-top:0 !important}.pt-xxl-1{padding-top:.25rem !important}.pt-xxl-2{padding-top:.5rem !important}.pt-xxl-3{padding-top:1rem !important}.pt-xxl-4{padding-top:1.5rem !important}.pt-xxl-5{padding-top:3rem !important}.pe-xxl-0{padding-right:0 !important}.pe-xxl-1{padding-right:.25rem !important}.pe-xxl-2{padding-right:.5rem !important}.pe-xxl-3{padding-right:1rem !important}.pe-xxl-4{padding-right:1.5rem !important}.pe-xxl-5{padding-right:3rem !important}.pb-xxl-0{padding-bottom:0 !important}.pb-xxl-1{padding-bottom:.25rem !important}.pb-xxl-2{padding-bottom:.5rem !important}.pb-xxl-3{padding-bottom:1rem !important}.pb-xxl-4{padding-bottom:1.5rem !important}.pb-xxl-5{padding-bottom:3rem !important}.ps-xxl-0{padding-left:0 !important}.ps-xxl-1{padding-left:.25rem !important}.ps-xxl-2{padding-left:.5rem !important}.ps-xxl-3{padding-left:1rem !important}.ps-xxl-4{padding-left:1.5rem !important}.ps-xxl-5{padding-left:3rem !important}.gap-xxl-0{gap:0 !important}.gap-xxl-1{gap:.25rem !important}.gap-xxl-2{gap:.5rem !important}.gap-xxl-3{gap:1rem !important}.gap-xxl-4{gap:1.5rem !important}.gap-xxl-5{gap:3rem !important}.row-gap-xxl-0{row-gap:0 !important}.row-gap-xxl-1{row-gap:.25rem !important}.row-gap-xxl-2{row-gap:.5rem !important}.row-gap-xxl-3{row-gap:1rem !important}.row-gap-xxl-4{row-gap:1.5rem !important}.row-gap-xxl-5{row-gap:3rem !important}.column-gap-xxl-0{column-gap:0 !important}.column-gap-xxl-1{column-gap:.25rem !important}.column-gap-xxl-2{column-gap:.5rem !important}.column-gap-xxl-3{column-gap:1rem !important}.column-gap-xxl-4{column-gap:1.5rem !important}.column-gap-xxl-5{column-gap:3rem !important}.text-xxl-start{text-align:left !important}.text-xxl-end{text-align:right !important}.text-xxl-center{text-align:center !important}}.bg-default{color:#000}.bg-primary{color:#fff}.bg-secondary{color:#fff}.bg-success{color:#fff}.bg-info{color:#000}.bg-warning{color:#000}.bg-danger{color:#fff}.bg-light{color:#000}.bg-dark{color:#fff}@media (min-width: 1200px){.fs-1{font-size:2.5rem !important}.fs-2{font-size:2rem !important}.fs-3{font-size:1.75rem !important}.fs-4{font-size:1.5rem !important}}@media print{.d-print-inline{display:inline !important}.d-print-inline-block{display:inline-block !important}.d-print-block{display:block !important}.d-print-grid{display:grid !important}.d-print-inline-grid{display:inline-grid !important}.d-print-table{display:table !important}.d-print-table-row{display:table-row !important}.d-print-table-cell{display:table-cell !important}.d-print-flex{display:flex !important}.d-print-inline-flex{display:inline-flex !important}.d-print-none{display:none !important}}.table th[align=left]{text-align:left}.table th[align=right]{text-align:right}.table th[align=center]{text-align:center}:root{--bslib-spacer: 1rem;--bslib-mb-spacer: var(--bslib-spacer, 1rem)}.bslib-mb-spacing{margin-bottom:var(--bslib-mb-spacer)}.bslib-gap-spacing{gap:var(--bslib-mb-spacer)}.bslib-gap-spacing>.bslib-mb-spacing,.bslib-gap-spacing>.form-group,.bslib-gap-spacing>p,.bslib-gap-spacing>pre,.bslib-gap-spacing>.shiny-html-output>.bslib-mb-spacing,.bslib-gap-spacing>.shiny-html-output>.form-group,.bslib-gap-spacing>.shiny-html-output>p,.bslib-gap-spacing>.shiny-html-output>pre,.bslib-gap-spacing>.shiny-panel-conditional>.bslib-mb-spacing,.bslib-gap-spacing>.shiny-panel-conditional>.form-group,.bslib-gap-spacing>.shiny-panel-conditional>p,.bslib-gap-spacing>.shiny-panel-conditional>pre{margin-bottom:0}.html-fill-container>.html-fill-item.bslib-mb-spacing{margin-bottom:0}.tab-content>.tab-pane.html-fill-container{display:none}.tab-content>.active.html-fill-container{display:flex}.tab-content.html-fill-container{padding:0}.bg-blue{--bslib-color-bg: #0d6efd;--bslib-color-fg: #fff;background-color:var(--bslib-color-bg);color:var(--bslib-color-fg)}.text-blue{--bslib-color-fg: #0d6efd;color:var(--bslib-color-fg)}.bg-indigo{--bslib-color-bg: #6610f2;--bslib-color-fg: #fff;background-color:var(--bslib-color-bg);color:var(--bslib-color-fg)}.text-indigo{--bslib-color-fg: #6610f2;color:var(--bslib-color-fg)}.bg-purple{--bslib-color-bg: #6f42c1;--bslib-color-fg: #fff;background-color:var(--bslib-color-bg);color:var(--bslib-color-fg)}.text-purple{--bslib-color-fg: #6f42c1;color:var(--bslib-color-fg)}.bg-pink{--bslib-color-bg: #d63384;--bslib-color-fg: #fff;background-color:var(--bslib-color-bg);color:var(--bslib-color-fg)}.text-pink{--bslib-color-fg: #d63384;color:var(--bslib-color-fg)}.bg-red{--bslib-color-bg: #dc3545;--bslib-color-fg: #fff;background-color:var(--bslib-color-bg);color:var(--bslib-color-fg)}.text-red{--bslib-color-fg: #dc3545;color:var(--bslib-color-fg)}.bg-orange{--bslib-color-bg: #fd7e14;--bslib-color-fg: #000;background-color:var(--bslib-color-bg);color:var(--bslib-color-fg)}.text-orange{--bslib-color-fg: #fd7e14;color:var(--bslib-color-fg)}.bg-yellow{--bslib-color-bg: #ffc107;--bslib-color-fg: #000;background-color:var(--bslib-color-bg);color:var(--bslib-color-fg)}.text-yellow{--bslib-color-fg: #ffc107;color:var(--bslib-color-fg)}.bg-green{--bslib-color-bg: #198754;--bslib-color-fg: #fff;background-color:var(--bslib-color-bg);color:var(--bslib-color-fg)}.text-green{--bslib-color-fg: #198754;color:var(--bslib-color-fg)}.bg-teal{--bslib-color-bg: #20c997;--bslib-color-fg: #000;background-color:var(--bslib-color-bg);color:var(--bslib-color-fg)}.text-teal{--bslib-color-fg: #20c997;color:var(--bslib-color-fg)}.bg-cyan{--bslib-color-bg: #0dcaf0;--bslib-color-fg: #000;background-color:var(--bslib-color-bg);color:var(--bslib-color-fg)}.text-cyan{--bslib-color-fg: #0dcaf0;color:var(--bslib-color-fg)}.text-default{--bslib-color-fg: #dee2e6}.bg-default{--bslib-color-bg: #dee2e6;--bslib-color-fg: #000}.text-primary{--bslib-color-fg: #0d6efd}.bg-primary{--bslib-color-bg: #0d6efd;--bslib-color-fg: #fff}.text-secondary{--bslib-color-fg: #6c757d}.bg-secondary{--bslib-color-bg: #6c757d;--bslib-color-fg: #fff}.text-success{--bslib-color-fg: #198754}.bg-success{--bslib-color-bg: #198754;--bslib-color-fg: #fff}.text-info{--bslib-color-fg: #0dcaf0}.bg-info{--bslib-color-bg: #0dcaf0;--bslib-color-fg: #000}.text-warning{--bslib-color-fg: #ffc107}.bg-warning{--bslib-color-bg: #ffc107;--bslib-color-fg: #000}.text-danger{--bslib-color-fg: #dc3545}.bg-danger{--bslib-color-bg: #dc3545;--bslib-color-fg: #fff}.text-light{--bslib-color-fg: #f8f9fa}.bg-light{--bslib-color-bg: #f8f9fa;--bslib-color-fg: #000}.text-dark{--bslib-color-fg: #212529}.bg-dark{--bslib-color-bg: #212529;--bslib-color-fg: #fff}.bg-gradient-blue-indigo{--bslib-color-fg: #fff;--bslib-color-bg: #3148f9;background:linear-gradient(var(--bg-gradient-deg, 140deg), #0d6efd var(--bg-gradient-start, 36%), #6610f2 var(--bg-gradient-end, 180%)) #3148f9;color:#fff}.bg-gradient-blue-purple{--bslib-color-fg: #fff;--bslib-color-bg: #345ce5;background:linear-gradient(var(--bg-gradient-deg, 140deg), #0d6efd var(--bg-gradient-start, 36%), #6f42c1 var(--bg-gradient-end, 180%)) #345ce5;color:#fff}.bg-gradient-blue-pink{--bslib-color-fg: #fff;--bslib-color-bg: #5d56cd;background:linear-gradient(var(--bg-gradient-deg, 140deg), #0d6efd var(--bg-gradient-start, 36%), #d63384 var(--bg-gradient-end, 180%)) #5d56cd;color:#fff}.bg-gradient-blue-red{--bslib-color-fg: #fff;--bslib-color-bg: #6057b3;background:linear-gradient(var(--bg-gradient-deg, 140deg), #0d6efd var(--bg-gradient-start, 36%), #dc3545 var(--bg-gradient-end, 180%)) #6057b3;color:#fff}.bg-gradient-blue-orange{--bslib-color-fg: #fff;--bslib-color-bg: #6d74a0;background:linear-gradient(var(--bg-gradient-deg, 140deg), #0d6efd var(--bg-gradient-start, 36%), #fd7e14 var(--bg-gradient-end, 180%)) #6d74a0;color:#fff}.bg-gradient-blue-yellow{--bslib-color-fg: #000;--bslib-color-bg: #6e8f9b;background:linear-gradient(var(--bg-gradient-deg, 140deg), #0d6efd var(--bg-gradient-start, 36%), #ffc107 var(--bg-gradient-end, 180%)) #6e8f9b;color:#000}.bg-gradient-blue-green{--bslib-color-fg: #fff;--bslib-color-bg: #1278b9;background:linear-gradient(var(--bg-gradient-deg, 140deg), #0d6efd var(--bg-gradient-start, 36%), #198754 var(--bg-gradient-end, 180%)) #1278b9;color:#fff}.bg-gradient-blue-teal{--bslib-color-fg: #000;--bslib-color-bg: #1592d4;background:linear-gradient(var(--bg-gradient-deg, 140deg), #0d6efd var(--bg-gradient-start, 36%), #20c997 var(--bg-gradient-end, 180%)) #1592d4;color:#000}.bg-gradient-blue-cyan{--bslib-color-fg: #000;--bslib-color-bg: #0d93f8;background:linear-gradient(var(--bg-gradient-deg, 140deg), #0d6efd var(--bg-gradient-start, 36%), #0dcaf0 var(--bg-gradient-end, 180%)) #0d93f8;color:#000}.bg-gradient-indigo-blue{--bslib-color-fg: #fff;--bslib-color-bg: #4236f6;background:linear-gradient(var(--bg-gradient-deg, 140deg), #6610f2 var(--bg-gradient-start, 36%), #0d6efd var(--bg-gradient-end, 180%)) #4236f6;color:#fff}.bg-gradient-indigo-purple{--bslib-color-fg: #fff;--bslib-color-bg: #6a24de;background:linear-gradient(var(--bg-gradient-deg, 140deg), #6610f2 var(--bg-gradient-start, 36%), #6f42c1 var(--bg-gradient-end, 180%)) #6a24de;color:#fff}.bg-gradient-indigo-pink{--bslib-color-fg: #fff;--bslib-color-bg: #931ec6;background:linear-gradient(var(--bg-gradient-deg, 140deg), #6610f2 var(--bg-gradient-start, 36%), #d63384 var(--bg-gradient-end, 180%)) #931ec6;color:#fff}.bg-gradient-indigo-red{--bslib-color-fg: #fff;--bslib-color-bg: #951fad;background:linear-gradient(var(--bg-gradient-deg, 140deg), #6610f2 var(--bg-gradient-start, 36%), #dc3545 var(--bg-gradient-end, 180%)) #951fad;color:#fff}.bg-gradient-indigo-orange{--bslib-color-fg: #fff;--bslib-color-bg: #a23c99;background:linear-gradient(var(--bg-gradient-deg, 140deg), #6610f2 var(--bg-gradient-start, 36%), #fd7e14 var(--bg-gradient-end, 180%)) #a23c99;color:#fff}.bg-gradient-indigo-yellow{--bslib-color-fg: #fff;--bslib-color-bg: #a35794;background:linear-gradient(var(--bg-gradient-deg, 140deg), #6610f2 var(--bg-gradient-start, 36%), #ffc107 var(--bg-gradient-end, 180%)) #a35794;color:#fff}.bg-gradient-indigo-green{--bslib-color-fg: #fff;--bslib-color-bg: #4740b3;background:linear-gradient(var(--bg-gradient-deg, 140deg), #6610f2 var(--bg-gradient-start, 36%), #198754 var(--bg-gradient-end, 180%)) #4740b3;color:#fff}.bg-gradient-indigo-teal{--bslib-color-fg: #fff;--bslib-color-bg: #4a5ace;background:linear-gradient(var(--bg-gradient-deg, 140deg), #6610f2 var(--bg-gradient-start, 36%), #20c997 var(--bg-gradient-end, 180%)) #4a5ace;color:#fff}.bg-gradient-indigo-cyan{--bslib-color-fg: #fff;--bslib-color-bg: #425af1;background:linear-gradient(var(--bg-gradient-deg, 140deg), #6610f2 var(--bg-gradient-start, 36%), #0dcaf0 var(--bg-gradient-end, 180%)) #425af1;color:#fff}.bg-gradient-purple-blue{--bslib-color-fg: #fff;--bslib-color-bg: #4854d9;background:linear-gradient(var(--bg-gradient-deg, 140deg), #6f42c1 var(--bg-gradient-start, 36%), #0d6efd var(--bg-gradient-end, 180%)) #4854d9;color:#fff}.bg-gradient-purple-indigo{--bslib-color-fg: #fff;--bslib-color-bg: #6b2ed5;background:linear-gradient(var(--bg-gradient-deg, 140deg), #6f42c1 var(--bg-gradient-start, 36%), #6610f2 var(--bg-gradient-end, 180%)) #6b2ed5;color:#fff}.bg-gradient-purple-pink{--bslib-color-fg: #fff;--bslib-color-bg: #983ca9;background:linear-gradient(var(--bg-gradient-deg, 140deg), #6f42c1 var(--bg-gradient-start, 36%), #d63384 var(--bg-gradient-end, 180%)) #983ca9;color:#fff}.bg-gradient-purple-red{--bslib-color-fg: #fff;--bslib-color-bg: #9b3d8f;background:linear-gradient(var(--bg-gradient-deg, 140deg), #6f42c1 var(--bg-gradient-start, 36%), #dc3545 var(--bg-gradient-end, 180%)) #9b3d8f;color:#fff}.bg-gradient-purple-orange{--bslib-color-fg: #fff;--bslib-color-bg: #a85a7c;background:linear-gradient(var(--bg-gradient-deg, 140deg), #6f42c1 var(--bg-gradient-start, 36%), #fd7e14 var(--bg-gradient-end, 180%)) #a85a7c;color:#fff}.bg-gradient-purple-yellow{--bslib-color-fg: #000;--bslib-color-bg: #a97577;background:linear-gradient(var(--bg-gradient-deg, 140deg), #6f42c1 var(--bg-gradient-start, 36%), #ffc107 var(--bg-gradient-end, 180%)) #a97577;color:#000}.bg-gradient-purple-green{--bslib-color-fg: #fff;--bslib-color-bg: #4d5e95;background:linear-gradient(var(--bg-gradient-deg, 140deg), #6f42c1 var(--bg-gradient-start, 36%), #198754 var(--bg-gradient-end, 180%)) #4d5e95;color:#fff}.bg-gradient-purple-teal{--bslib-color-fg: #fff;--bslib-color-bg: #4f78b0;background:linear-gradient(var(--bg-gradient-deg, 140deg), #6f42c1 var(--bg-gradient-start, 36%), #20c997 var(--bg-gradient-end, 180%)) #4f78b0;color:#fff}.bg-gradient-purple-cyan{--bslib-color-fg: #000;--bslib-color-bg: #4878d4;background:linear-gradient(var(--bg-gradient-deg, 140deg), #6f42c1 var(--bg-gradient-start, 36%), #0dcaf0 var(--bg-gradient-end, 180%)) #4878d4;color:#000}.bg-gradient-pink-blue{--bslib-color-fg: #fff;--bslib-color-bg: #864bb4;background:linear-gradient(var(--bg-gradient-deg, 140deg), #d63384 var(--bg-gradient-start, 36%), #0d6efd var(--bg-gradient-end, 180%)) #864bb4;color:#fff}.bg-gradient-pink-indigo{--bslib-color-fg: #fff;--bslib-color-bg: #a925b0;background:linear-gradient(var(--bg-gradient-deg, 140deg), #d63384 var(--bg-gradient-start, 36%), #6610f2 var(--bg-gradient-end, 180%)) #a925b0;color:#fff}.bg-gradient-pink-purple{--bslib-color-fg: #fff;--bslib-color-bg: #ad399c;background:linear-gradient(var(--bg-gradient-deg, 140deg), #d63384 var(--bg-gradient-start, 36%), #6f42c1 var(--bg-gradient-end, 180%)) #ad399c;color:#fff}.bg-gradient-pink-red{--bslib-color-fg: #fff;--bslib-color-bg: #d8346b;background:linear-gradient(var(--bg-gradient-deg, 140deg), #d63384 var(--bg-gradient-start, 36%), #dc3545 var(--bg-gradient-end, 180%)) #d8346b;color:#fff}.bg-gradient-pink-orange{--bslib-color-fg: #000;--bslib-color-bg: #e65157;background:linear-gradient(var(--bg-gradient-deg, 140deg), #d63384 var(--bg-gradient-start, 36%), #fd7e14 var(--bg-gradient-end, 180%)) #e65157;color:#000}.bg-gradient-pink-yellow{--bslib-color-fg: #000;--bslib-color-bg: #e66c52;background:linear-gradient(var(--bg-gradient-deg, 140deg), #d63384 var(--bg-gradient-start, 36%), #ffc107 var(--bg-gradient-end, 180%)) #e66c52;color:#000}.bg-gradient-pink-green{--bslib-color-fg: #fff;--bslib-color-bg: #8a5571;background:linear-gradient(var(--bg-gradient-deg, 140deg), #d63384 var(--bg-gradient-start, 36%), #198754 var(--bg-gradient-end, 180%)) #8a5571;color:#fff}.bg-gradient-pink-teal{--bslib-color-fg: #000;--bslib-color-bg: #8d6f8c;background:linear-gradient(var(--bg-gradient-deg, 140deg), #d63384 var(--bg-gradient-start, 36%), #20c997 var(--bg-gradient-end, 180%)) #8d6f8c;color:#000}.bg-gradient-pink-cyan{--bslib-color-fg: #000;--bslib-color-bg: #866faf;background:linear-gradient(var(--bg-gradient-deg, 140deg), #d63384 var(--bg-gradient-start, 36%), #0dcaf0 var(--bg-gradient-end, 180%)) #866faf;color:#000}.bg-gradient-red-blue{--bslib-color-fg: #fff;--bslib-color-bg: #894c8f;background:linear-gradient(var(--bg-gradient-deg, 140deg), #dc3545 var(--bg-gradient-start, 36%), #0d6efd var(--bg-gradient-end, 180%)) #894c8f;color:#fff}.bg-gradient-red-indigo{--bslib-color-fg: #fff;--bslib-color-bg: #ad268a;background:linear-gradient(var(--bg-gradient-deg, 140deg), #dc3545 var(--bg-gradient-start, 36%), #6610f2 var(--bg-gradient-end, 180%)) #ad268a;color:#fff}.bg-gradient-red-purple{--bslib-color-fg: #fff;--bslib-color-bg: #b03a77;background:linear-gradient(var(--bg-gradient-deg, 140deg), #dc3545 var(--bg-gradient-start, 36%), #6f42c1 var(--bg-gradient-end, 180%)) #b03a77;color:#fff}.bg-gradient-red-pink{--bslib-color-fg: #fff;--bslib-color-bg: #da345e;background:linear-gradient(var(--bg-gradient-deg, 140deg), #dc3545 var(--bg-gradient-start, 36%), #d63384 var(--bg-gradient-end, 180%)) #da345e;color:#fff}.bg-gradient-red-orange{--bslib-color-fg: #000;--bslib-color-bg: #e95231;background:linear-gradient(var(--bg-gradient-deg, 140deg), #dc3545 var(--bg-gradient-start, 36%), #fd7e14 var(--bg-gradient-end, 180%)) #e95231;color:#000}.bg-gradient-red-yellow{--bslib-color-fg: #000;--bslib-color-bg: #ea6d2c;background:linear-gradient(var(--bg-gradient-deg, 140deg), #dc3545 var(--bg-gradient-start, 36%), #ffc107 var(--bg-gradient-end, 180%)) #ea6d2c;color:#000}.bg-gradient-red-green{--bslib-color-fg: #fff;--bslib-color-bg: #8e564b;background:linear-gradient(var(--bg-gradient-deg, 140deg), #dc3545 var(--bg-gradient-start, 36%), #198754 var(--bg-gradient-end, 180%)) #8e564b;color:#fff}.bg-gradient-red-teal{--bslib-color-fg: #000;--bslib-color-bg: #917066;background:linear-gradient(var(--bg-gradient-deg, 140deg), #dc3545 var(--bg-gradient-start, 36%), #20c997 var(--bg-gradient-end, 180%)) #917066;color:#000}.bg-gradient-red-cyan{--bslib-color-fg: #000;--bslib-color-bg: #897189;background:linear-gradient(var(--bg-gradient-deg, 140deg), #dc3545 var(--bg-gradient-start, 36%), #0dcaf0 var(--bg-gradient-end, 180%)) #897189;color:#000}.bg-gradient-orange-blue{--bslib-color-fg: #000;--bslib-color-bg: #9d7871;background:linear-gradient(var(--bg-gradient-deg, 140deg), #fd7e14 var(--bg-gradient-start, 36%), #0d6efd var(--bg-gradient-end, 180%)) #9d7871;color:#000}.bg-gradient-orange-indigo{--bslib-color-fg: #000;--bslib-color-bg: #c1526d;background:linear-gradient(var(--bg-gradient-deg, 140deg), #fd7e14 var(--bg-gradient-start, 36%), #6610f2 var(--bg-gradient-end, 180%)) #c1526d;color:#000}.bg-gradient-orange-purple{--bslib-color-fg: #000;--bslib-color-bg: #c46659;background:linear-gradient(var(--bg-gradient-deg, 140deg), #fd7e14 var(--bg-gradient-start, 36%), #6f42c1 var(--bg-gradient-end, 180%)) #c46659;color:#000}.bg-gradient-orange-pink{--bslib-color-fg: #000;--bslib-color-bg: #ed6041;background:linear-gradient(var(--bg-gradient-deg, 140deg), #fd7e14 var(--bg-gradient-start, 36%), #d63384 var(--bg-gradient-end, 180%)) #ed6041;color:#000}.bg-gradient-orange-red{--bslib-color-fg: #000;--bslib-color-bg: #f06128;background:linear-gradient(var(--bg-gradient-deg, 140deg), #fd7e14 var(--bg-gradient-start, 36%), #dc3545 var(--bg-gradient-end, 180%)) #f06128;color:#000}.bg-gradient-orange-yellow{--bslib-color-fg: #000;--bslib-color-bg: #fe990f;background:linear-gradient(var(--bg-gradient-deg, 140deg), #fd7e14 var(--bg-gradient-start, 36%), #ffc107 var(--bg-gradient-end, 180%)) #fe990f;color:#000}.bg-gradient-orange-green{--bslib-color-fg: #000;--bslib-color-bg: #a2822e;background:linear-gradient(var(--bg-gradient-deg, 140deg), #fd7e14 var(--bg-gradient-start, 36%), #198754 var(--bg-gradient-end, 180%)) #a2822e;color:#000}.bg-gradient-orange-teal{--bslib-color-fg: #000;--bslib-color-bg: #a59c48;background:linear-gradient(var(--bg-gradient-deg, 140deg), #fd7e14 var(--bg-gradient-start, 36%), #20c997 var(--bg-gradient-end, 180%)) #a59c48;color:#000}.bg-gradient-orange-cyan{--bslib-color-fg: #000;--bslib-color-bg: #9d9c6c;background:linear-gradient(var(--bg-gradient-deg, 140deg), #fd7e14 var(--bg-gradient-start, 36%), #0dcaf0 var(--bg-gradient-end, 180%)) #9d9c6c;color:#000}.bg-gradient-yellow-blue{--bslib-color-fg: #000;--bslib-color-bg: #9ea069;background:linear-gradient(var(--bg-gradient-deg, 140deg), #ffc107 var(--bg-gradient-start, 36%), #0d6efd var(--bg-gradient-end, 180%)) #9ea069;color:#000}.bg-gradient-yellow-indigo{--bslib-color-fg: #000;--bslib-color-bg: #c27a65;background:linear-gradient(var(--bg-gradient-deg, 140deg), #ffc107 var(--bg-gradient-start, 36%), #6610f2 var(--bg-gradient-end, 180%)) #c27a65;color:#000}.bg-gradient-yellow-purple{--bslib-color-fg: #000;--bslib-color-bg: #c58e51;background:linear-gradient(var(--bg-gradient-deg, 140deg), #ffc107 var(--bg-gradient-start, 36%), #6f42c1 var(--bg-gradient-end, 180%)) #c58e51;color:#000}.bg-gradient-yellow-pink{--bslib-color-fg: #000;--bslib-color-bg: #ef8839;background:linear-gradient(var(--bg-gradient-deg, 140deg), #ffc107 var(--bg-gradient-start, 36%), #d63384 var(--bg-gradient-end, 180%)) #ef8839;color:#000}.bg-gradient-yellow-red{--bslib-color-fg: #000;--bslib-color-bg: #f18920;background:linear-gradient(var(--bg-gradient-deg, 140deg), #ffc107 var(--bg-gradient-start, 36%), #dc3545 var(--bg-gradient-end, 180%)) #f18920;color:#000}.bg-gradient-yellow-orange{--bslib-color-fg: #000;--bslib-color-bg: #fea60c;background:linear-gradient(var(--bg-gradient-deg, 140deg), #ffc107 var(--bg-gradient-start, 36%), #fd7e14 var(--bg-gradient-end, 180%)) #fea60c;color:#000}.bg-gradient-yellow-green{--bslib-color-fg: #000;--bslib-color-bg: #a3aa26;background:linear-gradient(var(--bg-gradient-deg, 140deg), #ffc107 var(--bg-gradient-start, 36%), #198754 var(--bg-gradient-end, 180%)) #a3aa26;color:#000}.bg-gradient-yellow-teal{--bslib-color-fg: #000;--bslib-color-bg: #a6c441;background:linear-gradient(var(--bg-gradient-deg, 140deg), #ffc107 var(--bg-gradient-start, 36%), #20c997 var(--bg-gradient-end, 180%)) #a6c441;color:#000}.bg-gradient-yellow-cyan{--bslib-color-fg: #000;--bslib-color-bg: #9ec564;background:linear-gradient(var(--bg-gradient-deg, 140deg), #ffc107 var(--bg-gradient-start, 36%), #0dcaf0 var(--bg-gradient-end, 180%)) #9ec564;color:#000}.bg-gradient-green-blue{--bslib-color-fg: #fff;--bslib-color-bg: #147d98;background:linear-gradient(var(--bg-gradient-deg, 140deg), #198754 var(--bg-gradient-start, 36%), #0d6efd var(--bg-gradient-end, 180%)) #147d98;color:#fff}.bg-gradient-green-indigo{--bslib-color-fg: #fff;--bslib-color-bg: #385793;background:linear-gradient(var(--bg-gradient-deg, 140deg), #198754 var(--bg-gradient-start, 36%), #6610f2 var(--bg-gradient-end, 180%)) #385793;color:#fff}.bg-gradient-green-purple{--bslib-color-fg: #fff;--bslib-color-bg: #3b6b80;background:linear-gradient(var(--bg-gradient-deg, 140deg), #198754 var(--bg-gradient-start, 36%), #6f42c1 var(--bg-gradient-end, 180%)) #3b6b80;color:#fff}.bg-gradient-green-pink{--bslib-color-fg: #fff;--bslib-color-bg: #656567;background:linear-gradient(var(--bg-gradient-deg, 140deg), #198754 var(--bg-gradient-start, 36%), #d63384 var(--bg-gradient-end, 180%)) #656567;color:#fff}.bg-gradient-green-red{--bslib-color-fg: #fff;--bslib-color-bg: #67664e;background:linear-gradient(var(--bg-gradient-deg, 140deg), #198754 var(--bg-gradient-start, 36%), #dc3545 var(--bg-gradient-end, 180%)) #67664e;color:#fff}.bg-gradient-green-orange{--bslib-color-fg: #000;--bslib-color-bg: #74833a;background:linear-gradient(var(--bg-gradient-deg, 140deg), #198754 var(--bg-gradient-start, 36%), #fd7e14 var(--bg-gradient-end, 180%)) #74833a;color:#000}.bg-gradient-green-yellow{--bslib-color-fg: #000;--bslib-color-bg: #759e35;background:linear-gradient(var(--bg-gradient-deg, 140deg), #198754 var(--bg-gradient-start, 36%), #ffc107 var(--bg-gradient-end, 180%)) #759e35;color:#000}.bg-gradient-green-teal{--bslib-color-fg: #000;--bslib-color-bg: #1ca16f;background:linear-gradient(var(--bg-gradient-deg, 140deg), #198754 var(--bg-gradient-start, 36%), #20c997 var(--bg-gradient-end, 180%)) #1ca16f;color:#000}.bg-gradient-green-cyan{--bslib-color-fg: #000;--bslib-color-bg: #14a292;background:linear-gradient(var(--bg-gradient-deg, 140deg), #198754 var(--bg-gradient-start, 36%), #0dcaf0 var(--bg-gradient-end, 180%)) #14a292;color:#000}.bg-gradient-teal-blue{--bslib-color-fg: #000;--bslib-color-bg: #18a5c0;background:linear-gradient(var(--bg-gradient-deg, 140deg), #20c997 var(--bg-gradient-start, 36%), #0d6efd var(--bg-gradient-end, 180%)) #18a5c0;color:#000}.bg-gradient-teal-indigo{--bslib-color-fg: #000;--bslib-color-bg: #3c7fbb;background:linear-gradient(var(--bg-gradient-deg, 140deg), #20c997 var(--bg-gradient-start, 36%), #6610f2 var(--bg-gradient-end, 180%)) #3c7fbb;color:#000}.bg-gradient-teal-purple{--bslib-color-fg: #000;--bslib-color-bg: #4093a8;background:linear-gradient(var(--bg-gradient-deg, 140deg), #20c997 var(--bg-gradient-start, 36%), #6f42c1 var(--bg-gradient-end, 180%)) #4093a8;color:#000}.bg-gradient-teal-pink{--bslib-color-fg: #000;--bslib-color-bg: #698d8f;background:linear-gradient(var(--bg-gradient-deg, 140deg), #20c997 var(--bg-gradient-start, 36%), #d63384 var(--bg-gradient-end, 180%)) #698d8f;color:#000}.bg-gradient-teal-red{--bslib-color-fg: #000;--bslib-color-bg: #6b8e76;background:linear-gradient(var(--bg-gradient-deg, 140deg), #20c997 var(--bg-gradient-start, 36%), #dc3545 var(--bg-gradient-end, 180%)) #6b8e76;color:#000}.bg-gradient-teal-orange{--bslib-color-fg: #000;--bslib-color-bg: #78ab63;background:linear-gradient(var(--bg-gradient-deg, 140deg), #20c997 var(--bg-gradient-start, 36%), #fd7e14 var(--bg-gradient-end, 180%)) #78ab63;color:#000}.bg-gradient-teal-yellow{--bslib-color-fg: #000;--bslib-color-bg: #79c65d;background:linear-gradient(var(--bg-gradient-deg, 140deg), #20c997 var(--bg-gradient-start, 36%), #ffc107 var(--bg-gradient-end, 180%)) #79c65d;color:#000}.bg-gradient-teal-green{--bslib-color-fg: #000;--bslib-color-bg: #1daf7c;background:linear-gradient(var(--bg-gradient-deg, 140deg), #20c997 var(--bg-gradient-start, 36%), #198754 var(--bg-gradient-end, 180%)) #1daf7c;color:#000}.bg-gradient-teal-cyan{--bslib-color-fg: #000;--bslib-color-bg: #18c9bb;background:linear-gradient(var(--bg-gradient-deg, 140deg), #20c997 var(--bg-gradient-start, 36%), #0dcaf0 var(--bg-gradient-end, 180%)) #18c9bb;color:#000}.bg-gradient-cyan-blue{--bslib-color-fg: #000;--bslib-color-bg: #0da5f5;background:linear-gradient(var(--bg-gradient-deg, 140deg), #0dcaf0 var(--bg-gradient-start, 36%), #0d6efd var(--bg-gradient-end, 180%)) #0da5f5;color:#000}.bg-gradient-cyan-indigo{--bslib-color-fg: #000;--bslib-color-bg: #3180f1;background:linear-gradient(var(--bg-gradient-deg, 140deg), #0dcaf0 var(--bg-gradient-start, 36%), #6610f2 var(--bg-gradient-end, 180%)) #3180f1;color:#000}.bg-gradient-cyan-purple{--bslib-color-fg: #000;--bslib-color-bg: #3494dd;background:linear-gradient(var(--bg-gradient-deg, 140deg), #0dcaf0 var(--bg-gradient-start, 36%), #6f42c1 var(--bg-gradient-end, 180%)) #3494dd;color:#000}.bg-gradient-cyan-pink{--bslib-color-fg: #000;--bslib-color-bg: #5d8ec5;background:linear-gradient(var(--bg-gradient-deg, 140deg), #0dcaf0 var(--bg-gradient-start, 36%), #d63384 var(--bg-gradient-end, 180%)) #5d8ec5;color:#000}.bg-gradient-cyan-red{--bslib-color-fg: #000;--bslib-color-bg: #608eac;background:linear-gradient(var(--bg-gradient-deg, 140deg), #0dcaf0 var(--bg-gradient-start, 36%), #dc3545 var(--bg-gradient-end, 180%)) #608eac;color:#000}.bg-gradient-cyan-orange{--bslib-color-fg: #000;--bslib-color-bg: #6dac98;background:linear-gradient(var(--bg-gradient-deg, 140deg), #0dcaf0 var(--bg-gradient-start, 36%), #fd7e14 var(--bg-gradient-end, 180%)) #6dac98;color:#000}.bg-gradient-cyan-yellow{--bslib-color-fg: #000;--bslib-color-bg: #6ec693;background:linear-gradient(var(--bg-gradient-deg, 140deg), #0dcaf0 var(--bg-gradient-start, 36%), #ffc107 var(--bg-gradient-end, 180%)) #6ec693;color:#000}.bg-gradient-cyan-green{--bslib-color-fg: #000;--bslib-color-bg: #12afb2;background:linear-gradient(var(--bg-gradient-deg, 140deg), #0dcaf0 var(--bg-gradient-start, 36%), #198754 var(--bg-gradient-end, 180%)) #12afb2;color:#000}.bg-gradient-cyan-teal{--bslib-color-fg: #000;--bslib-color-bg: #15cacc;background:linear-gradient(var(--bg-gradient-deg, 140deg), #0dcaf0 var(--bg-gradient-start, 36%), #20c997 var(--bg-gradient-end, 180%)) #15cacc;color:#000}.row>main{max-width:50rem}@media (min-width: 1200px) and (max-width: 1399.98px){.container .row{justify-content:space-evenly}}@media (min-width: 1400px){body{font-size:18px}.col-md-3{margin-left:5rem}}.navbar-nav .nav-item>.nav-link{border-radius:.375rem;padding:0.5rem}.navbar>.container{align-items:baseline;-webkit-align-items:baseline}.navbar-light .navbar-nav .active>.nav-link{background:#e9ecef;color:#212529}.navbar-dark .navbar-nav .active>.nav-link{background:#343a40;color:#fff}.navbar-dark .navbar-nav .nav-item>.nav-link:hover,.navbar-light .navbar-nav .nav-item>.nav-link:hover{background:rgba(13,110,253,0.1)}.navbar-dark input[type="search"]{border-color:#6c757d;background-color:#212529;color:#e9ecef}input[type="search"]{border-color:#dee2e6;width:12rem}.headroom{will-change:transform;transition:transform 400ms ease}.headroom--pinned{transform:translateY(0%)}.headroom--unpinned{transform:translateY(-100%)}.row>main,.row>aside{margin-top:56px}html,body{scroll-padding:56px}@media (min-width: 576px){#toc{position:sticky;top:56px;max-height:calc(100vh - 56px - 1rem);overflow-y:auto}}aside h2,aside .h2{margin-top:1.5rem;font-size:1.25rem}aside .roles{color:#4d5154}aside .list-unstyled li{margin-bottom:0.5rem}aside .dev-status .list-unstyled li{margin-bottom:0.1rem}@media (max-width: 575.98px){aside{margin:0.5rem;width:calc(100vw - 1rem);background-color:#f8f9fa;border-color:#dee2e6;border-radius:.375rem}aside h2:first-child,aside .h2:first-child{margin-top:1rem}}body{position:relative}#toc>.nav{margin-bottom:1rem}#toc>.nav a.nav-link{color:inherit;padding:0.25rem 0.5rem;margin-bottom:2px;border-radius:.375rem;border:0 solid #dee2e6}#toc>.nav a.nav-link:hover,#toc>.nav a.nav-link:focus{background-color:rgba(13,110,253,0.1);color:#000}#toc>.nav a.nav-link.active{background-color:#e9e9ea;color:#000}#toc>.nav .nav a.nav-link{margin-left:0.5rem}#toc>.nav .nav{display:none !important}#toc>.nav a.active+.nav{display:flex !important}footer{margin:1rem 0 1rem 0;padding-top:1rem;font-size:.875em;border-top:1px solid #dee2e6;background:rgba(0,0,0,0);color:#4d5154;display:flex;column-gap:1rem}@media (max-width: 575.98px){footer{flex-direction:column}}@media (min-width: 576px){footer .pkgdown-footer-right{text-align:right}}footer div{flex:1 1 auto}html,body{height:100%}body>.container{min-height:100%;display:flex;flex-direction:column}body>.container .row{flex:1 0 auto}::selection{background-color:#cfe2ff}main img{max-width:100%;height:auto}main table{display:block;overflow:auto}body{font-display:fallback}.page-header{border-bottom:1px solid #dee2e6;padding-bottom:0.5rem;margin-bottom:0.5rem;margin-top:1.5rem}dd{margin-left:1.5rem}summary{margin-bottom:0.5rem}details{margin-bottom:1rem}.html-widget{margin-bottom:1rem}a.anchor{display:none;margin-left:5px;width:Min(0.9em, 20px);height:Min(0.9em, 20px);background-image:url(../../link.svg);background-repeat:no-repeat;background-size:Min(0.9em, 20px) Min(0.9em, 20px);background-position:center center}h2:hover .anchor,.h2:hover .anchor,h3:hover .anchor,.h3:hover .anchor,h4:hover .anchor,.h4:hover .anchor,h5:hover .anchor,.h5:hover .anchor,h6:hover .anchor,.h6:hover .anchor{display:inline-block}.orcid{color:#A6CE39;margin-right:4px}.fab{font-family:"Font Awesome 5 Brands" !important}img.logo{float:right;width:100px;margin-left:30px}.template-home img.logo{width:120px}@media (max-width: 575.98px){img.logo{width:80px}}@media (min-width: 576px){.page-header{min-height:88px}.template-home .page-header{min-height:104px}}.line-block{margin-bottom:1rem}.template-reference-index dt{font-weight:normal}.template-reference-index code{word-wrap:normal}.icon{float:right}.icon img{width:40px}a[href='#main']{position:absolute;margin:4px;padding:0.75rem;background-color:#fff;text-decoration:none;z-index:2000}a.footnote-ref{cursor:pointer}.popover{width:Min(100vw, 32rem);font-size:0.9rem;box-shadow:4px 4px 8px rgba(0,0,0,0.3)}.popover-body{padding:0.75rem}.popover-body p:last-child{margin-bottom:0}.tab-content{padding:1rem}.tabset-pills .tab-content{border:solid 1px #e5e5e5}.tab-content{display:flex}.tab-content>.tab-pane{display:block;visibility:hidden;margin-right:-100%;width:100%}.tab-content>.active{visibility:visible}div.csl-entry{clear:both}.hanging-indent div.csl-entry{margin-left:2em;text-indent:-2em}div.csl-left-margin{min-width:2em;float:left}div.csl-right-inline{margin-left:2em;padding-left:1em}div.csl-indent{margin-left:2em}pre,pre code{word-wrap:normal}code{overflow-wrap:break-word}.hasCopyButton{position:relative}.btn-copy-ex{position:absolute;right:5px;top:5px;visibility:hidden}.hasCopyButton:hover button.btn-copy-ex{visibility:visible}pre{padding:1rem 0.5rem}@media (max-width: 575.98px){div>div>pre{margin-left:calc(var(--bs-gutter-x) * -.5);margin-right:calc(var(--bs-gutter-x) * -.5);border-radius:0;padding-left:1rem;padding-right:1rem}.btn-copy-ex{right:calc(var(--bs-gutter-x) * -.5 + 5px)}}code a:any-link{color:inherit;text-decoration-color:#6c757d}pre code{padding:0;background:transparent}pre code .error,pre code .warning{font-weight:bolder}pre .img img,pre .r-plt img{margin:5px 0;background-color:#fff}@media print{code a:link:after,code a:visited:after{content:""}}a.sourceLine:hover{text-decoration:none}mark,.mark{background:linear-gradient(-100deg, rgba(13,202,240,0.2), rgba(13,202,240,0.7) 95%, rgba(13,202,240,0.1))}.algolia-autocomplete .aa-hint{color:#212529}.algolia-autocomplete .aa-dropdown-menu{width:Max(100%, 20rem);background-color:#fff;border:1px solid var(--bs-border-color);margin-top:2px;max-height:50vh;overflow-y:auto}.algolia-autocomplete .aa-dropdown-menu .aa-suggestion{cursor:pointer;padding:5px 4px;border-bottom:1px #e9ecef solid;font-size:0.9rem;color:#212529}.search-details{font-size:0.9rem;color:#0d6efd;display:inline;font-weight:bolder}.algolia-autocomplete .aa-dropdown-menu .aa-suggestion.aa-cursor{background-color:#e7f1ff}pre{background-color:#f1f3f5}pre code{color:#003B4F}pre code span.al{color:#AD0000}pre code span.an{color:#5E5E5E}pre code span.at{color:#657422}pre code span.bn{color:#AD0000}pre code span.cf{color:#003B4F}pre code span.ch{color:#20794D}pre code span.cn{color:#8f5902}pre code span.co{color:#5E5E5E}pre code span.cv{color:#5E5E5E;font-style:italic}pre code span.do{color:#5E5E5E;font-style:italic}pre code span.dt{color:#AD0000}pre code span.dv{color:#AD0000}pre code span.er{color:#AD0000}pre code span.fl{color:#AD0000}pre code span.fu{color:#4758AB}pre code span.im{color:#00769E}pre code span.in{color:#5E5E5E}pre code span.kw{color:#003B4F}pre code span.op{color:#5E5E5E}pre code span.ot{color:#003B4F}pre code span.pp{color:#AD0000}pre code span.sc{color:#5E5E5E}pre code span.ss{color:#20794D}pre code span.st{color:#20794D}pre code span.va{color:#111111}pre code span.vs{color:#20794D}pre code span.wa{color:#5E5E5E;font-style:italic}
+   */:root,[data-bs-theme="light"]{--bs-blue: #0d6efd;--bs-indigo: #6610f2;--bs-purple: #6f42c1;--bs-pink: #d63384;--bs-red: #dc3545;--bs-orange: #fd7e14;--bs-yellow: #ffc107;--bs-green: #198754;--bs-teal: #20c997;--bs-cyan: #0dcaf0;--bs-black: #000;--bs-white: #fff;--bs-gray: #6c757d;--bs-gray-dark: #343a40;--bs-gray-100: #f8f9fa;--bs-gray-200: #e9ecef;--bs-gray-300: #dee2e6;--bs-gray-400: #ced4da;--bs-gray-500: #adb5bd;--bs-gray-600: #6c757d;--bs-gray-700: #495057;--bs-gray-800: #343a40;--bs-gray-900: #212529;--bs-default: #dee2e6;--bs-primary: #0d6efd;--bs-secondary: #6c757d;--bs-success: #198754;--bs-info: #0dcaf0;--bs-warning: #ffc107;--bs-danger: #dc3545;--bs-light: #f8f9fa;--bs-dark: #212529;--bs-default-rgb: 222,226,230;--bs-primary-rgb: 13,110,253;--bs-secondary-rgb: 108,117,125;--bs-success-rgb: 25,135,84;--bs-info-rgb: 13,202,240;--bs-warning-rgb: 255,193,7;--bs-danger-rgb: 220,53,69;--bs-light-rgb: 248,249,250;--bs-dark-rgb: 33,37,41;--bs-primary-text-emphasis: #052c65;--bs-secondary-text-emphasis: #2b2f32;--bs-success-text-emphasis: #0a3622;--bs-info-text-emphasis: #055160;--bs-warning-text-emphasis: #664d03;--bs-danger-text-emphasis: #58151c;--bs-light-text-emphasis: #495057;--bs-dark-text-emphasis: #495057;--bs-primary-bg-subtle: #cfe2ff;--bs-secondary-bg-subtle: #e2e3e5;--bs-success-bg-subtle: #d1e7dd;--bs-info-bg-subtle: #cff4fc;--bs-warning-bg-subtle: #fff3cd;--bs-danger-bg-subtle: #f8d7da;--bs-light-bg-subtle: #fcfcfd;--bs-dark-bg-subtle: #ced4da;--bs-primary-border-subtle: #9ec5fe;--bs-secondary-border-subtle: #c4c8cb;--bs-success-border-subtle: #a3cfbb;--bs-info-border-subtle: #9eeaf9;--bs-warning-border-subtle: #ffe69c;--bs-danger-border-subtle: #f1aeb5;--bs-light-border-subtle: #e9ecef;--bs-dark-border-subtle: #adb5bd;--bs-white-rgb: 255,255,255;--bs-black-rgb: 0,0,0;--bs-font-sans-serif: system-ui, -apple-system, "Segoe UI", Roboto, "Helvetica Neue", "Noto Sans", "Liberation Sans", Arial, sans-serif, "Apple Color Emoji", "Segoe UI Emoji", "Segoe UI Symbol", "Noto Color Emoji";--bs-font-monospace: SFMono-Regular, Menlo, Monaco, Consolas, "Liberation Mono", "Courier New", monospace;--bs-gradient: linear-gradient(180deg, rgba(255,255,255,0.15), rgba(255,255,255,0));--bs-body-font-family: var(--bs-font-sans-serif);--bs-body-font-size:1rem;--bs-body-font-weight: 400;--bs-body-line-height: 1.5;--bs-body-color: #212529;--bs-body-color-rgb: 33,37,41;--bs-body-bg: #fff;--bs-body-bg-rgb: 255,255,255;--bs-emphasis-color: #000;--bs-emphasis-color-rgb: 0,0,0;--bs-secondary-color: rgba(33,37,41,0.75);--bs-secondary-color-rgb: 33,37,41;--bs-secondary-bg: #e9ecef;--bs-secondary-bg-rgb: 233,236,239;--bs-tertiary-color: rgba(33,37,41,0.5);--bs-tertiary-color-rgb: 33,37,41;--bs-tertiary-bg: #f8f9fa;--bs-tertiary-bg-rgb: 248,249,250;--bs-heading-color: inherit;--bs-link-color: #0d6efd;--bs-link-color-rgb: 13,110,253;--bs-link-decoration: underline;--bs-link-hover-color: #0a58ca;--bs-link-hover-color-rgb: 10,88,202;--bs-code-color: RGB(var(--bs-emphasis-color-rgb, 0, 0, 0));--bs-highlight-bg: #fff3cd;--bs-border-width: 1px;--bs-border-style: solid;--bs-border-color: #dee2e6;--bs-border-color-translucent: rgba(0,0,0,0.175);--bs-border-radius: .375rem;--bs-border-radius-sm: .25rem;--bs-border-radius-lg: .5rem;--bs-border-radius-xl: 1rem;--bs-border-radius-xxl: 2rem;--bs-border-radius-2xl: var(--bs-border-radius-xxl);--bs-border-radius-pill: 50rem;--bs-box-shadow: 0 0.5rem 1rem rgba(0,0,0,0.15);--bs-box-shadow-sm: 0 0.125rem 0.25rem rgba(0,0,0,0.075);--bs-box-shadow-lg: 0 1rem 3rem rgba(0,0,0,0.175);--bs-box-shadow-inset: inset 0 1px 2px rgba(0,0,0,0.075);--bs-focus-ring-width: .25rem;--bs-focus-ring-opacity: .25;--bs-focus-ring-color: rgba(13,110,253,0.25);--bs-form-valid-color: #198754;--bs-form-valid-border-color: #198754;--bs-form-invalid-color: #dc3545;--bs-form-invalid-border-color: #dc3545}[data-bs-theme="dark"]{color-scheme:dark;--bs-body-color: #dee2e6;--bs-body-color-rgb: 222,226,230;--bs-body-bg: #212529;--bs-body-bg-rgb: 33,37,41;--bs-emphasis-color: #fff;--bs-emphasis-color-rgb: 255,255,255;--bs-secondary-color: rgba(222,226,230,0.75);--bs-secondary-color-rgb: 222,226,230;--bs-secondary-bg: #343a40;--bs-secondary-bg-rgb: 52,58,64;--bs-tertiary-color: rgba(222,226,230,0.5);--bs-tertiary-color-rgb: 222,226,230;--bs-tertiary-bg: #2b3035;--bs-tertiary-bg-rgb: 43,48,53;--bs-primary-text-emphasis: #6ea8fe;--bs-secondary-text-emphasis: #a7acb1;--bs-success-text-emphasis: #75b798;--bs-info-text-emphasis: #6edff6;--bs-warning-text-emphasis: #ffda6a;--bs-danger-text-emphasis: #ea868f;--bs-light-text-emphasis: #f8f9fa;--bs-dark-text-emphasis: #dee2e6;--bs-primary-bg-subtle: #031633;--bs-secondary-bg-subtle: #161719;--bs-success-bg-subtle: #051b11;--bs-info-bg-subtle: #032830;--bs-warning-bg-subtle: #332701;--bs-danger-bg-subtle: #2c0b0e;--bs-light-bg-subtle: #343a40;--bs-dark-bg-subtle: #1a1d20;--bs-primary-border-subtle: #084298;--bs-secondary-border-subtle: #41464b;--bs-success-border-subtle: #0f5132;--bs-info-border-subtle: #087990;--bs-warning-border-subtle: #997404;--bs-danger-border-subtle: #842029;--bs-light-border-subtle: #495057;--bs-dark-border-subtle: #343a40;--bs-heading-color: inherit;--bs-link-color: #6ea8fe;--bs-link-hover-color: #8bb9fe;--bs-link-color-rgb: 110,168,254;--bs-link-hover-color-rgb: 139,185,254;--bs-code-color: RGB(var(--bs-emphasis-color-rgb, 0, 0, 0));--bs-border-color: #495057;--bs-border-color-translucent: rgba(255,255,255,0.15);--bs-form-valid-color: #75b798;--bs-form-valid-border-color: #75b798;--bs-form-invalid-color: #ea868f;--bs-form-invalid-border-color: #ea868f}*,*::before,*::after{box-sizing:border-box}@media (prefers-reduced-motion: no-preference){:root{scroll-behavior:smooth}}body{margin:0;font-family:var(--bs-body-font-family);font-size:var(--bs-body-font-size);font-weight:var(--bs-body-font-weight);line-height:var(--bs-body-line-height);color:var(--bs-body-color);text-align:var(--bs-body-text-align);background-color:var(--bs-body-bg);-webkit-text-size-adjust:100%;-webkit-tap-highlight-color:rgba(0,0,0,0)}hr{margin:1rem 0;color:inherit;border:0;border-top:var(--bs-border-width) solid;opacity:.25}h6,.h6,h5,.h5,h4,.h4,h3,.h3,h2,.h2,h1,.h1{margin-top:0;margin-bottom:.5rem;font-weight:500;line-height:1.2;color:var(--bs-heading-color)}h1,.h1{font-size:calc(1.375rem + 1.5vw)}@media (min-width: 1200px){h1,.h1{font-size:2.5rem}}h2,.h2{font-size:calc(1.325rem + .9vw)}@media (min-width: 1200px){h2,.h2{font-size:2rem}}h3,.h3{font-size:calc(1.3rem + .6vw)}@media (min-width: 1200px){h3,.h3{font-size:1.75rem}}h4,.h4{font-size:calc(1.275rem + .3vw)}@media (min-width: 1200px){h4,.h4{font-size:1.5rem}}h5,.h5{font-size:1.25rem}h6,.h6{font-size:1rem}p{margin-top:0;margin-bottom:1rem}abbr[title]{text-decoration:underline dotted;-webkit-text-decoration:underline dotted;-moz-text-decoration:underline dotted;-ms-text-decoration:underline dotted;-o-text-decoration:underline dotted;cursor:help;text-decoration-skip-ink:none}address{margin-bottom:1rem;font-style:normal;line-height:inherit}ol,ul{padding-left:2rem}ol,ul,dl{margin-top:0;margin-bottom:1rem}ol ol,ul ul,ol ul,ul ol{margin-bottom:0}dt{font-weight:700}dd{margin-bottom:.5rem;margin-left:0}blockquote{margin:0 0 1rem;padding:.625rem 1.25rem;border-left:.25rem solid #e9ecef}blockquote p:last-child,blockquote ul:last-child,blockquote ol:last-child{margin-bottom:0}b,strong{font-weight:bolder}small,.small{font-size:.875em}mark,.mark{padding:.1875em;background-color:var(--bs-highlight-bg)}sub,sup{position:relative;font-size:.75em;line-height:0;vertical-align:baseline}sub{bottom:-.25em}sup{top:-.5em}a{color:rgba(var(--bs-link-color-rgb), var(--bs-link-opacity, 1));text-decoration:underline;-webkit-text-decoration:underline;-moz-text-decoration:underline;-ms-text-decoration:underline;-o-text-decoration:underline}a:hover{--bs-link-color-rgb: var(--bs-link-hover-color-rgb)}a:not([href]):not([class]),a:not([href]):not([class]):hover{color:inherit;text-decoration:none}pre,code,kbd,samp{font-family:var(--bs-font-monospace);font-size:1em}pre{display:block;margin-top:0;margin-bottom:1rem;overflow:auto;font-size:.875em;color:RGB(var(--bs-emphasis-color-rgb, 0, 0, 0));background-color:RGBA(var(--bs-emphasis-color-rgb, 0, 0, 0), 0.04);padding:.5rem;border:1px solid var(--bs-border-color, #dee2e6);border-radius:.375rem}pre code{background-color:transparent;font-size:inherit;color:inherit;word-break:normal}code{font-size:.875em;color:var(--bs-code-color);background-color:RGBA(var(--bs-emphasis-color-rgb, 0, 0, 0), 0.04);border-radius:.375rem;padding:.125rem .25rem;word-wrap:break-word}a>code{color:inherit}kbd{padding:.1875rem .375rem;font-size:.875em;color:var(--bs-body-bg);background-color:var(--bs-body-color);border-radius:.25rem}kbd kbd{padding:0;font-size:1em}figure{margin:0 0 1rem}img,svg{vertical-align:middle}table{caption-side:bottom;border-collapse:collapse}caption{padding-top:.5rem;padding-bottom:.5rem;color:var(--bs-secondary-color);text-align:left}th{text-align:inherit;text-align:-webkit-match-parent}thead,tbody,tfoot,tr,td,th{border-color:inherit;border-style:solid;border-width:0}label{display:inline-block}button{border-radius:0}button:focus:not(:focus-visible){outline:0}input,button,select,optgroup,textarea{margin:0;font-family:inherit;font-size:inherit;line-height:inherit}button,select{text-transform:none}[role="button"]{cursor:pointer}select{word-wrap:normal}select:disabled{opacity:1}[list]:not([type="date"]):not([type="datetime-local"]):not([type="month"]):not([type="week"]):not([type="time"])::-webkit-calendar-picker-indicator{display:none !important}button,[type="button"],[type="reset"],[type="submit"]{-webkit-appearance:button}button:not(:disabled),[type="button"]:not(:disabled),[type="reset"]:not(:disabled),[type="submit"]:not(:disabled){cursor:pointer}::-moz-focus-inner{padding:0;border-style:none}textarea{resize:vertical}fieldset{min-width:0;padding:0;margin:0;border:0}legend{float:left;width:100%;padding:0;margin-bottom:.5rem;font-size:calc(1.275rem + .3vw);line-height:inherit}@media (min-width: 1200px){legend{font-size:1.5rem}}legend+*{clear:left}::-webkit-datetime-edit-fields-wrapper,::-webkit-datetime-edit-text,::-webkit-datetime-edit-minute,::-webkit-datetime-edit-hour-field,::-webkit-datetime-edit-day-field,::-webkit-datetime-edit-month-field,::-webkit-datetime-edit-year-field{padding:0}::-webkit-inner-spin-button{height:auto}[type="search"]{-webkit-appearance:textfield;outline-offset:-2px}::-webkit-search-decoration{-webkit-appearance:none}::-webkit-color-swatch-wrapper{padding:0}::file-selector-button{font:inherit;-webkit-appearance:button}output{display:inline-block}iframe{border:0}summary{display:list-item;cursor:pointer}progress{vertical-align:baseline}[hidden]{display:none !important}.lead{font-size:1.25rem;font-weight:300}.display-1{font-size:calc(1.625rem + 4.5vw);font-weight:300;line-height:1.2}@media (min-width: 1200px){.display-1{font-size:5rem}}.display-2{font-size:calc(1.575rem + 3.9vw);font-weight:300;line-height:1.2}@media (min-width: 1200px){.display-2{font-size:4.5rem}}.display-3{font-size:calc(1.525rem + 3.3vw);font-weight:300;line-height:1.2}@media (min-width: 1200px){.display-3{font-size:4rem}}.display-4{font-size:calc(1.475rem + 2.7vw);font-weight:300;line-height:1.2}@media (min-width: 1200px){.display-4{font-size:3.5rem}}.display-5{font-size:calc(1.425rem + 2.1vw);font-weight:300;line-height:1.2}@media (min-width: 1200px){.display-5{font-size:3rem}}.display-6{font-size:calc(1.375rem + 1.5vw);font-weight:300;line-height:1.2}@media (min-width: 1200px){.display-6{font-size:2.5rem}}.list-unstyled{padding-left:0;list-style:none}.list-inline{padding-left:0;list-style:none}.list-inline-item{display:inline-block}.list-inline-item:not(:last-child){margin-right:.5rem}.initialism{font-size:.875em;text-transform:uppercase}.blockquote{margin-bottom:1rem;font-size:1.25rem}.blockquote>:last-child{margin-bottom:0}.blockquote-footer{margin-top:-1rem;margin-bottom:1rem;font-size:.875em;color:#6c757d}.blockquote-footer::before{content:"\2014\00A0"}.img-fluid{max-width:100%;height:auto}.img-thumbnail{padding:.25rem;background-color:var(--bs-body-bg);border:var(--bs-border-width) solid var(--bs-border-color);border-radius:var(--bs-border-radius);max-width:100%;height:auto}.figure{display:inline-block}.figure-img{margin-bottom:.5rem;line-height:1}.figure-caption{font-size:.875em;color:var(--bs-secondary-color)}.container,.container-fluid,.container-xxl,.container-xl,.container-lg,.container-md,.container-sm{--bs-gutter-x: 1.5rem;--bs-gutter-y: 0;width:100%;padding-right:calc(var(--bs-gutter-x) * .5);padding-left:calc(var(--bs-gutter-x) * .5);margin-right:auto;margin-left:auto}@media (min-width: 576px){.container-sm,.container{max-width:540px}}@media (min-width: 768px){.container-md,.container-sm,.container{max-width:720px}}@media (min-width: 992px){.container-lg,.container-md,.container-sm,.container{max-width:960px}}@media (min-width: 1200px){.container-xl,.container-lg,.container-md,.container-sm,.container{max-width:1140px}}@media (min-width: 1400px){.container-xxl,.container-xl,.container-lg,.container-md,.container-sm,.container{max-width:1320px}}:root{--bs-breakpoint-xs: 0;--bs-breakpoint-sm: 576px;--bs-breakpoint-md: 768px;--bs-breakpoint-lg: 992px;--bs-breakpoint-xl: 1200px;--bs-breakpoint-xxl: 1400px}.row{--bs-gutter-x: 1.5rem;--bs-gutter-y: 0;display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;margin-top:calc(-1 * var(--bs-gutter-y));margin-right:calc(-.5 * var(--bs-gutter-x));margin-left:calc(-.5 * var(--bs-gutter-x))}.row>*{flex-shrink:0;-webkit-flex-shrink:0;width:100%;max-width:100%;padding-right:calc(var(--bs-gutter-x) * .5);padding-left:calc(var(--bs-gutter-x) * .5);margin-top:var(--bs-gutter-y)}.grid{display:grid;grid-template-rows:repeat(var(--bs-rows, 1), 1fr);grid-template-columns:repeat(var(--bs-columns, 12), 1fr);gap:var(--bs-gap, 1.5rem)}.grid .g-col-1{grid-column:auto/span 1}.grid .g-col-2{grid-column:auto/span 2}.grid .g-col-3{grid-column:auto/span 3}.grid .g-col-4{grid-column:auto/span 4}.grid .g-col-5{grid-column:auto/span 5}.grid .g-col-6{grid-column:auto/span 6}.grid .g-col-7{grid-column:auto/span 7}.grid .g-col-8{grid-column:auto/span 8}.grid .g-col-9{grid-column:auto/span 9}.grid .g-col-10{grid-column:auto/span 10}.grid .g-col-11{grid-column:auto/span 11}.grid .g-col-12{grid-column:auto/span 12}.grid .g-start-1{grid-column-start:1}.grid .g-start-2{grid-column-start:2}.grid .g-start-3{grid-column-start:3}.grid .g-start-4{grid-column-start:4}.grid .g-start-5{grid-column-start:5}.grid .g-start-6{grid-column-start:6}.grid .g-start-7{grid-column-start:7}.grid .g-start-8{grid-column-start:8}.grid .g-start-9{grid-column-start:9}.grid .g-start-10{grid-column-start:10}.grid .g-start-11{grid-column-start:11}@media (min-width: 576px){.grid .g-col-sm-1{grid-column:auto/span 1}.grid .g-col-sm-2{grid-column:auto/span 2}.grid .g-col-sm-3{grid-column:auto/span 3}.grid .g-col-sm-4{grid-column:auto/span 4}.grid .g-col-sm-5{grid-column:auto/span 5}.grid .g-col-sm-6{grid-column:auto/span 6}.grid .g-col-sm-7{grid-column:auto/span 7}.grid .g-col-sm-8{grid-column:auto/span 8}.grid .g-col-sm-9{grid-column:auto/span 9}.grid .g-col-sm-10{grid-column:auto/span 10}.grid .g-col-sm-11{grid-column:auto/span 11}.grid .g-col-sm-12{grid-column:auto/span 12}.grid .g-start-sm-1{grid-column-start:1}.grid .g-start-sm-2{grid-column-start:2}.grid .g-start-sm-3{grid-column-start:3}.grid .g-start-sm-4{grid-column-start:4}.grid .g-start-sm-5{grid-column-start:5}.grid .g-start-sm-6{grid-column-start:6}.grid .g-start-sm-7{grid-column-start:7}.grid .g-start-sm-8{grid-column-start:8}.grid .g-start-sm-9{grid-column-start:9}.grid .g-start-sm-10{grid-column-start:10}.grid .g-start-sm-11{grid-column-start:11}}@media (min-width: 768px){.grid .g-col-md-1{grid-column:auto/span 1}.grid .g-col-md-2{grid-column:auto/span 2}.grid .g-col-md-3{grid-column:auto/span 3}.grid .g-col-md-4{grid-column:auto/span 4}.grid .g-col-md-5{grid-column:auto/span 5}.grid .g-col-md-6{grid-column:auto/span 6}.grid .g-col-md-7{grid-column:auto/span 7}.grid .g-col-md-8{grid-column:auto/span 8}.grid .g-col-md-9{grid-column:auto/span 9}.grid .g-col-md-10{grid-column:auto/span 10}.grid .g-col-md-11{grid-column:auto/span 11}.grid .g-col-md-12{grid-column:auto/span 12}.grid .g-start-md-1{grid-column-start:1}.grid .g-start-md-2{grid-column-start:2}.grid .g-start-md-3{grid-column-start:3}.grid .g-start-md-4{grid-column-start:4}.grid .g-start-md-5{grid-column-start:5}.grid .g-start-md-6{grid-column-start:6}.grid .g-start-md-7{grid-column-start:7}.grid .g-start-md-8{grid-column-start:8}.grid .g-start-md-9{grid-column-start:9}.grid .g-start-md-10{grid-column-start:10}.grid .g-start-md-11{grid-column-start:11}}@media (min-width: 992px){.grid .g-col-lg-1{grid-column:auto/span 1}.grid .g-col-lg-2{grid-column:auto/span 2}.grid .g-col-lg-3{grid-column:auto/span 3}.grid .g-col-lg-4{grid-column:auto/span 4}.grid .g-col-lg-5{grid-column:auto/span 5}.grid .g-col-lg-6{grid-column:auto/span 6}.grid .g-col-lg-7{grid-column:auto/span 7}.grid .g-col-lg-8{grid-column:auto/span 8}.grid .g-col-lg-9{grid-column:auto/span 9}.grid .g-col-lg-10{grid-column:auto/span 10}.grid .g-col-lg-11{grid-column:auto/span 11}.grid .g-col-lg-12{grid-column:auto/span 12}.grid .g-start-lg-1{grid-column-start:1}.grid .g-start-lg-2{grid-column-start:2}.grid .g-start-lg-3{grid-column-start:3}.grid .g-start-lg-4{grid-column-start:4}.grid .g-start-lg-5{grid-column-start:5}.grid .g-start-lg-6{grid-column-start:6}.grid .g-start-lg-7{grid-column-start:7}.grid .g-start-lg-8{grid-column-start:8}.grid .g-start-lg-9{grid-column-start:9}.grid .g-start-lg-10{grid-column-start:10}.grid .g-start-lg-11{grid-column-start:11}}@media (min-width: 1200px){.grid .g-col-xl-1{grid-column:auto/span 1}.grid .g-col-xl-2{grid-column:auto/span 2}.grid .g-col-xl-3{grid-column:auto/span 3}.grid .g-col-xl-4{grid-column:auto/span 4}.grid .g-col-xl-5{grid-column:auto/span 5}.grid .g-col-xl-6{grid-column:auto/span 6}.grid .g-col-xl-7{grid-column:auto/span 7}.grid .g-col-xl-8{grid-column:auto/span 8}.grid .g-col-xl-9{grid-column:auto/span 9}.grid .g-col-xl-10{grid-column:auto/span 10}.grid .g-col-xl-11{grid-column:auto/span 11}.grid .g-col-xl-12{grid-column:auto/span 12}.grid .g-start-xl-1{grid-column-start:1}.grid .g-start-xl-2{grid-column-start:2}.grid .g-start-xl-3{grid-column-start:3}.grid .g-start-xl-4{grid-column-start:4}.grid .g-start-xl-5{grid-column-start:5}.grid .g-start-xl-6{grid-column-start:6}.grid .g-start-xl-7{grid-column-start:7}.grid .g-start-xl-8{grid-column-start:8}.grid .g-start-xl-9{grid-column-start:9}.grid .g-start-xl-10{grid-column-start:10}.grid .g-start-xl-11{grid-column-start:11}}@media (min-width: 1400px){.grid .g-col-xxl-1{grid-column:auto/span 1}.grid .g-col-xxl-2{grid-column:auto/span 2}.grid .g-col-xxl-3{grid-column:auto/span 3}.grid .g-col-xxl-4{grid-column:auto/span 4}.grid .g-col-xxl-5{grid-column:auto/span 5}.grid .g-col-xxl-6{grid-column:auto/span 6}.grid .g-col-xxl-7{grid-column:auto/span 7}.grid .g-col-xxl-8{grid-column:auto/span 8}.grid .g-col-xxl-9{grid-column:auto/span 9}.grid .g-col-xxl-10{grid-column:auto/span 10}.grid .g-col-xxl-11{grid-column:auto/span 11}.grid .g-col-xxl-12{grid-column:auto/span 12}.grid .g-start-xxl-1{grid-column-start:1}.grid .g-start-xxl-2{grid-column-start:2}.grid .g-start-xxl-3{grid-column-start:3}.grid .g-start-xxl-4{grid-column-start:4}.grid .g-start-xxl-5{grid-column-start:5}.grid .g-start-xxl-6{grid-column-start:6}.grid .g-start-xxl-7{grid-column-start:7}.grid .g-start-xxl-8{grid-column-start:8}.grid .g-start-xxl-9{grid-column-start:9}.grid .g-start-xxl-10{grid-column-start:10}.grid .g-start-xxl-11{grid-column-start:11}}.col{flex:1 0 0%;-webkit-flex:1 0 0%}.row-cols-auto>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:auto}.row-cols-1>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:100%}.row-cols-2>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:50%}.row-cols-3>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:33.33333%}.row-cols-4>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:25%}.row-cols-5>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:20%}.row-cols-6>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:16.66667%}.col-auto{flex:0 0 auto;-webkit-flex:0 0 auto;width:auto}.col-1{flex:0 0 auto;-webkit-flex:0 0 auto;width:8.33333%}.col-2{flex:0 0 auto;-webkit-flex:0 0 auto;width:16.66667%}.col-3{flex:0 0 auto;-webkit-flex:0 0 auto;width:25%}.col-4{flex:0 0 auto;-webkit-flex:0 0 auto;width:33.33333%}.col-5{flex:0 0 auto;-webkit-flex:0 0 auto;width:41.66667%}.col-6{flex:0 0 auto;-webkit-flex:0 0 auto;width:50%}.col-7{flex:0 0 auto;-webkit-flex:0 0 auto;width:58.33333%}.col-8{flex:0 0 auto;-webkit-flex:0 0 auto;width:66.66667%}.col-9{flex:0 0 auto;-webkit-flex:0 0 auto;width:75%}.col-10{flex:0 0 auto;-webkit-flex:0 0 auto;width:83.33333%}.col-11{flex:0 0 auto;-webkit-flex:0 0 auto;width:91.66667%}.col-12{flex:0 0 auto;-webkit-flex:0 0 auto;width:100%}.offset-1{margin-left:8.33333%}.offset-2{margin-left:16.66667%}.offset-3{margin-left:25%}.offset-4{margin-left:33.33333%}.offset-5{margin-left:41.66667%}.offset-6{margin-left:50%}.offset-7{margin-left:58.33333%}.offset-8{margin-left:66.66667%}.offset-9{margin-left:75%}.offset-10{margin-left:83.33333%}.offset-11{margin-left:91.66667%}.g-0,.gx-0{--bs-gutter-x: 0}.g-0,.gy-0{--bs-gutter-y: 0}.g-1,.gx-1{--bs-gutter-x: .25rem}.g-1,.gy-1{--bs-gutter-y: .25rem}.g-2,.gx-2{--bs-gutter-x: .5rem}.g-2,.gy-2{--bs-gutter-y: .5rem}.g-3,.gx-3{--bs-gutter-x: 1rem}.g-3,.gy-3{--bs-gutter-y: 1rem}.g-4,.gx-4{--bs-gutter-x: 1.5rem}.g-4,.gy-4{--bs-gutter-y: 1.5rem}.g-5,.gx-5{--bs-gutter-x: 3rem}.g-5,.gy-5{--bs-gutter-y: 3rem}@media (min-width: 576px){.col-sm{flex:1 0 0%;-webkit-flex:1 0 0%}.row-cols-sm-auto>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:auto}.row-cols-sm-1>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:100%}.row-cols-sm-2>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:50%}.row-cols-sm-3>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:33.33333%}.row-cols-sm-4>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:25%}.row-cols-sm-5>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:20%}.row-cols-sm-6>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:16.66667%}.col-sm-auto{flex:0 0 auto;-webkit-flex:0 0 auto;width:auto}.col-sm-1{flex:0 0 auto;-webkit-flex:0 0 auto;width:8.33333%}.col-sm-2{flex:0 0 auto;-webkit-flex:0 0 auto;width:16.66667%}.col-sm-3{flex:0 0 auto;-webkit-flex:0 0 auto;width:25%}.col-sm-4{flex:0 0 auto;-webkit-flex:0 0 auto;width:33.33333%}.col-sm-5{flex:0 0 auto;-webkit-flex:0 0 auto;width:41.66667%}.col-sm-6{flex:0 0 auto;-webkit-flex:0 0 auto;width:50%}.col-sm-7{flex:0 0 auto;-webkit-flex:0 0 auto;width:58.33333%}.col-sm-8{flex:0 0 auto;-webkit-flex:0 0 auto;width:66.66667%}.col-sm-9{flex:0 0 auto;-webkit-flex:0 0 auto;width:75%}.col-sm-10{flex:0 0 auto;-webkit-flex:0 0 auto;width:83.33333%}.col-sm-11{flex:0 0 auto;-webkit-flex:0 0 auto;width:91.66667%}.col-sm-12{flex:0 0 auto;-webkit-flex:0 0 auto;width:100%}.offset-sm-0{margin-left:0}.offset-sm-1{margin-left:8.33333%}.offset-sm-2{margin-left:16.66667%}.offset-sm-3{margin-left:25%}.offset-sm-4{margin-left:33.33333%}.offset-sm-5{margin-left:41.66667%}.offset-sm-6{margin-left:50%}.offset-sm-7{margin-left:58.33333%}.offset-sm-8{margin-left:66.66667%}.offset-sm-9{margin-left:75%}.offset-sm-10{margin-left:83.33333%}.offset-sm-11{margin-left:91.66667%}.g-sm-0,.gx-sm-0{--bs-gutter-x: 0}.g-sm-0,.gy-sm-0{--bs-gutter-y: 0}.g-sm-1,.gx-sm-1{--bs-gutter-x: .25rem}.g-sm-1,.gy-sm-1{--bs-gutter-y: .25rem}.g-sm-2,.gx-sm-2{--bs-gutter-x: .5rem}.g-sm-2,.gy-sm-2{--bs-gutter-y: .5rem}.g-sm-3,.gx-sm-3{--bs-gutter-x: 1rem}.g-sm-3,.gy-sm-3{--bs-gutter-y: 1rem}.g-sm-4,.gx-sm-4{--bs-gutter-x: 1.5rem}.g-sm-4,.gy-sm-4{--bs-gutter-y: 1.5rem}.g-sm-5,.gx-sm-5{--bs-gutter-x: 3rem}.g-sm-5,.gy-sm-5{--bs-gutter-y: 3rem}}@media (min-width: 768px){.col-md{flex:1 0 0%;-webkit-flex:1 0 0%}.row-cols-md-auto>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:auto}.row-cols-md-1>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:100%}.row-cols-md-2>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:50%}.row-cols-md-3>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:33.33333%}.row-cols-md-4>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:25%}.row-cols-md-5>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:20%}.row-cols-md-6>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:16.66667%}.col-md-auto{flex:0 0 auto;-webkit-flex:0 0 auto;width:auto}.col-md-1{flex:0 0 auto;-webkit-flex:0 0 auto;width:8.33333%}.col-md-2{flex:0 0 auto;-webkit-flex:0 0 auto;width:16.66667%}.col-md-3{flex:0 0 auto;-webkit-flex:0 0 auto;width:25%}.col-md-4{flex:0 0 auto;-webkit-flex:0 0 auto;width:33.33333%}.col-md-5{flex:0 0 auto;-webkit-flex:0 0 auto;width:41.66667%}.col-md-6{flex:0 0 auto;-webkit-flex:0 0 auto;width:50%}.col-md-7{flex:0 0 auto;-webkit-flex:0 0 auto;width:58.33333%}.col-md-8{flex:0 0 auto;-webkit-flex:0 0 auto;width:66.66667%}.col-md-9{flex:0 0 auto;-webkit-flex:0 0 auto;width:75%}.col-md-10{flex:0 0 auto;-webkit-flex:0 0 auto;width:83.33333%}.col-md-11{flex:0 0 auto;-webkit-flex:0 0 auto;width:91.66667%}.col-md-12{flex:0 0 auto;-webkit-flex:0 0 auto;width:100%}.offset-md-0{margin-left:0}.offset-md-1{margin-left:8.33333%}.offset-md-2{margin-left:16.66667%}.offset-md-3{margin-left:25%}.offset-md-4{margin-left:33.33333%}.offset-md-5{margin-left:41.66667%}.offset-md-6{margin-left:50%}.offset-md-7{margin-left:58.33333%}.offset-md-8{margin-left:66.66667%}.offset-md-9{margin-left:75%}.offset-md-10{margin-left:83.33333%}.offset-md-11{margin-left:91.66667%}.g-md-0,.gx-md-0{--bs-gutter-x: 0}.g-md-0,.gy-md-0{--bs-gutter-y: 0}.g-md-1,.gx-md-1{--bs-gutter-x: .25rem}.g-md-1,.gy-md-1{--bs-gutter-y: .25rem}.g-md-2,.gx-md-2{--bs-gutter-x: .5rem}.g-md-2,.gy-md-2{--bs-gutter-y: .5rem}.g-md-3,.gx-md-3{--bs-gutter-x: 1rem}.g-md-3,.gy-md-3{--bs-gutter-y: 1rem}.g-md-4,.gx-md-4{--bs-gutter-x: 1.5rem}.g-md-4,.gy-md-4{--bs-gutter-y: 1.5rem}.g-md-5,.gx-md-5{--bs-gutter-x: 3rem}.g-md-5,.gy-md-5{--bs-gutter-y: 3rem}}@media (min-width: 992px){.col-lg{flex:1 0 0%;-webkit-flex:1 0 0%}.row-cols-lg-auto>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:auto}.row-cols-lg-1>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:100%}.row-cols-lg-2>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:50%}.row-cols-lg-3>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:33.33333%}.row-cols-lg-4>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:25%}.row-cols-lg-5>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:20%}.row-cols-lg-6>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:16.66667%}.col-lg-auto{flex:0 0 auto;-webkit-flex:0 0 auto;width:auto}.col-lg-1{flex:0 0 auto;-webkit-flex:0 0 auto;width:8.33333%}.col-lg-2{flex:0 0 auto;-webkit-flex:0 0 auto;width:16.66667%}.col-lg-3{flex:0 0 auto;-webkit-flex:0 0 auto;width:25%}.col-lg-4{flex:0 0 auto;-webkit-flex:0 0 auto;width:33.33333%}.col-lg-5{flex:0 0 auto;-webkit-flex:0 0 auto;width:41.66667%}.col-lg-6{flex:0 0 auto;-webkit-flex:0 0 auto;width:50%}.col-lg-7{flex:0 0 auto;-webkit-flex:0 0 auto;width:58.33333%}.col-lg-8{flex:0 0 auto;-webkit-flex:0 0 auto;width:66.66667%}.col-lg-9{flex:0 0 auto;-webkit-flex:0 0 auto;width:75%}.col-lg-10{flex:0 0 auto;-webkit-flex:0 0 auto;width:83.33333%}.col-lg-11{flex:0 0 auto;-webkit-flex:0 0 auto;width:91.66667%}.col-lg-12{flex:0 0 auto;-webkit-flex:0 0 auto;width:100%}.offset-lg-0{margin-left:0}.offset-lg-1{margin-left:8.33333%}.offset-lg-2{margin-left:16.66667%}.offset-lg-3{margin-left:25%}.offset-lg-4{margin-left:33.33333%}.offset-lg-5{margin-left:41.66667%}.offset-lg-6{margin-left:50%}.offset-lg-7{margin-left:58.33333%}.offset-lg-8{margin-left:66.66667%}.offset-lg-9{margin-left:75%}.offset-lg-10{margin-left:83.33333%}.offset-lg-11{margin-left:91.66667%}.g-lg-0,.gx-lg-0{--bs-gutter-x: 0}.g-lg-0,.gy-lg-0{--bs-gutter-y: 0}.g-lg-1,.gx-lg-1{--bs-gutter-x: .25rem}.g-lg-1,.gy-lg-1{--bs-gutter-y: .25rem}.g-lg-2,.gx-lg-2{--bs-gutter-x: .5rem}.g-lg-2,.gy-lg-2{--bs-gutter-y: .5rem}.g-lg-3,.gx-lg-3{--bs-gutter-x: 1rem}.g-lg-3,.gy-lg-3{--bs-gutter-y: 1rem}.g-lg-4,.gx-lg-4{--bs-gutter-x: 1.5rem}.g-lg-4,.gy-lg-4{--bs-gutter-y: 1.5rem}.g-lg-5,.gx-lg-5{--bs-gutter-x: 3rem}.g-lg-5,.gy-lg-5{--bs-gutter-y: 3rem}}@media (min-width: 1200px){.col-xl{flex:1 0 0%;-webkit-flex:1 0 0%}.row-cols-xl-auto>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:auto}.row-cols-xl-1>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:100%}.row-cols-xl-2>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:50%}.row-cols-xl-3>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:33.33333%}.row-cols-xl-4>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:25%}.row-cols-xl-5>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:20%}.row-cols-xl-6>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:16.66667%}.col-xl-auto{flex:0 0 auto;-webkit-flex:0 0 auto;width:auto}.col-xl-1{flex:0 0 auto;-webkit-flex:0 0 auto;width:8.33333%}.col-xl-2{flex:0 0 auto;-webkit-flex:0 0 auto;width:16.66667%}.col-xl-3{flex:0 0 auto;-webkit-flex:0 0 auto;width:25%}.col-xl-4{flex:0 0 auto;-webkit-flex:0 0 auto;width:33.33333%}.col-xl-5{flex:0 0 auto;-webkit-flex:0 0 auto;width:41.66667%}.col-xl-6{flex:0 0 auto;-webkit-flex:0 0 auto;width:50%}.col-xl-7{flex:0 0 auto;-webkit-flex:0 0 auto;width:58.33333%}.col-xl-8{flex:0 0 auto;-webkit-flex:0 0 auto;width:66.66667%}.col-xl-9{flex:0 0 auto;-webkit-flex:0 0 auto;width:75%}.col-xl-10{flex:0 0 auto;-webkit-flex:0 0 auto;width:83.33333%}.col-xl-11{flex:0 0 auto;-webkit-flex:0 0 auto;width:91.66667%}.col-xl-12{flex:0 0 auto;-webkit-flex:0 0 auto;width:100%}.offset-xl-0{margin-left:0}.offset-xl-1{margin-left:8.33333%}.offset-xl-2{margin-left:16.66667%}.offset-xl-3{margin-left:25%}.offset-xl-4{margin-left:33.33333%}.offset-xl-5{margin-left:41.66667%}.offset-xl-6{margin-left:50%}.offset-xl-7{margin-left:58.33333%}.offset-xl-8{margin-left:66.66667%}.offset-xl-9{margin-left:75%}.offset-xl-10{margin-left:83.33333%}.offset-xl-11{margin-left:91.66667%}.g-xl-0,.gx-xl-0{--bs-gutter-x: 0}.g-xl-0,.gy-xl-0{--bs-gutter-y: 0}.g-xl-1,.gx-xl-1{--bs-gutter-x: .25rem}.g-xl-1,.gy-xl-1{--bs-gutter-y: .25rem}.g-xl-2,.gx-xl-2{--bs-gutter-x: .5rem}.g-xl-2,.gy-xl-2{--bs-gutter-y: .5rem}.g-xl-3,.gx-xl-3{--bs-gutter-x: 1rem}.g-xl-3,.gy-xl-3{--bs-gutter-y: 1rem}.g-xl-4,.gx-xl-4{--bs-gutter-x: 1.5rem}.g-xl-4,.gy-xl-4{--bs-gutter-y: 1.5rem}.g-xl-5,.gx-xl-5{--bs-gutter-x: 3rem}.g-xl-5,.gy-xl-5{--bs-gutter-y: 3rem}}@media (min-width: 1400px){.col-xxl{flex:1 0 0%;-webkit-flex:1 0 0%}.row-cols-xxl-auto>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:auto}.row-cols-xxl-1>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:100%}.row-cols-xxl-2>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:50%}.row-cols-xxl-3>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:33.33333%}.row-cols-xxl-4>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:25%}.row-cols-xxl-5>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:20%}.row-cols-xxl-6>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:16.66667%}.col-xxl-auto{flex:0 0 auto;-webkit-flex:0 0 auto;width:auto}.col-xxl-1{flex:0 0 auto;-webkit-flex:0 0 auto;width:8.33333%}.col-xxl-2{flex:0 0 auto;-webkit-flex:0 0 auto;width:16.66667%}.col-xxl-3{flex:0 0 auto;-webkit-flex:0 0 auto;width:25%}.col-xxl-4{flex:0 0 auto;-webkit-flex:0 0 auto;width:33.33333%}.col-xxl-5{flex:0 0 auto;-webkit-flex:0 0 auto;width:41.66667%}.col-xxl-6{flex:0 0 auto;-webkit-flex:0 0 auto;width:50%}.col-xxl-7{flex:0 0 auto;-webkit-flex:0 0 auto;width:58.33333%}.col-xxl-8{flex:0 0 auto;-webkit-flex:0 0 auto;width:66.66667%}.col-xxl-9{flex:0 0 auto;-webkit-flex:0 0 auto;width:75%}.col-xxl-10{flex:0 0 auto;-webkit-flex:0 0 auto;width:83.33333%}.col-xxl-11{flex:0 0 auto;-webkit-flex:0 0 auto;width:91.66667%}.col-xxl-12{flex:0 0 auto;-webkit-flex:0 0 auto;width:100%}.offset-xxl-0{margin-left:0}.offset-xxl-1{margin-left:8.33333%}.offset-xxl-2{margin-left:16.66667%}.offset-xxl-3{margin-left:25%}.offset-xxl-4{margin-left:33.33333%}.offset-xxl-5{margin-left:41.66667%}.offset-xxl-6{margin-left:50%}.offset-xxl-7{margin-left:58.33333%}.offset-xxl-8{margin-left:66.66667%}.offset-xxl-9{margin-left:75%}.offset-xxl-10{margin-left:83.33333%}.offset-xxl-11{margin-left:91.66667%}.g-xxl-0,.gx-xxl-0{--bs-gutter-x: 0}.g-xxl-0,.gy-xxl-0{--bs-gutter-y: 0}.g-xxl-1,.gx-xxl-1{--bs-gutter-x: .25rem}.g-xxl-1,.gy-xxl-1{--bs-gutter-y: .25rem}.g-xxl-2,.gx-xxl-2{--bs-gutter-x: .5rem}.g-xxl-2,.gy-xxl-2{--bs-gutter-y: .5rem}.g-xxl-3,.gx-xxl-3{--bs-gutter-x: 1rem}.g-xxl-3,.gy-xxl-3{--bs-gutter-y: 1rem}.g-xxl-4,.gx-xxl-4{--bs-gutter-x: 1.5rem}.g-xxl-4,.gy-xxl-4{--bs-gutter-y: 1.5rem}.g-xxl-5,.gx-xxl-5{--bs-gutter-x: 3rem}.g-xxl-5,.gy-xxl-5{--bs-gutter-y: 3rem}}.table{--bs-table-color-type: initial;--bs-table-bg-type: initial;--bs-table-color-state: initial;--bs-table-bg-state: initial;--bs-table-color: var(--bs-body-color);--bs-table-bg: var(--bs-body-bg);--bs-table-border-color: var(--bs-border-color);--bs-table-accent-bg: rgba(0,0,0,0);--bs-table-striped-color: var(--bs-body-color);--bs-table-striped-bg: rgba(0,0,0,0.05);--bs-table-active-color: var(--bs-body-color);--bs-table-active-bg: rgba(0,0,0,0.1);--bs-table-hover-color: var(--bs-body-color);--bs-table-hover-bg: rgba(0,0,0,0.075);width:100%;margin-bottom:1rem;vertical-align:top;border-color:var(--bs-table-border-color)}.table>:not(caption)>*>*{padding:.5rem .5rem;color:var(--bs-table-color-state, var(--bs-table-color-type, var(--bs-table-color)));background-color:var(--bs-table-bg);border-bottom-width:var(--bs-border-width);box-shadow:inset 0 0 0 9999px var(--bs-table-bg-state, var(--bs-table-bg-type, var(--bs-table-accent-bg)))}.table>tbody{vertical-align:inherit}.table>thead{vertical-align:bottom}.table-group-divider{border-top:calc(var(--bs-border-width) * 2) solid currentcolor}.caption-top{caption-side:top}.table-sm>:not(caption)>*>*{padding:.25rem .25rem}.table-bordered>:not(caption)>*{border-width:var(--bs-border-width) 0}.table-bordered>:not(caption)>*>*{border-width:0 var(--bs-border-width)}.table-borderless>:not(caption)>*>*{border-bottom-width:0}.table-borderless>:not(:first-child){border-top-width:0}.table-striped>tbody>tr:nth-of-type(odd)>*{--bs-table-color-type: var(--bs-table-striped-color);--bs-table-bg-type: var(--bs-table-striped-bg)}.table-striped-columns>:not(caption)>tr>:nth-child(even){--bs-table-color-type: var(--bs-table-striped-color);--bs-table-bg-type: var(--bs-table-striped-bg)}.table-active{--bs-table-color-state: var(--bs-table-active-color);--bs-table-bg-state: var(--bs-table-active-bg)}.table-hover>tbody>tr:hover>*{--bs-table-color-state: var(--bs-table-hover-color);--bs-table-bg-state: var(--bs-table-hover-bg)}.table-primary{--bs-table-color: #000;--bs-table-bg: #cfe2ff;--bs-table-border-color: #bacbe6;--bs-table-striped-bg: #c5d7f2;--bs-table-striped-color: #000;--bs-table-active-bg: #bacbe6;--bs-table-active-color: #000;--bs-table-hover-bg: #bfd1ec;--bs-table-hover-color: #000;color:var(--bs-table-color);border-color:var(--bs-table-border-color)}.table-secondary{--bs-table-color: #000;--bs-table-bg: #e2e3e5;--bs-table-border-color: #cbccce;--bs-table-striped-bg: #d7d8da;--bs-table-striped-color: #000;--bs-table-active-bg: #cbccce;--bs-table-active-color: #000;--bs-table-hover-bg: #d1d2d4;--bs-table-hover-color: #000;color:var(--bs-table-color);border-color:var(--bs-table-border-color)}.table-success{--bs-table-color: #000;--bs-table-bg: #d1e7dd;--bs-table-border-color: #bcd0c7;--bs-table-striped-bg: #c7dbd2;--bs-table-striped-color: #000;--bs-table-active-bg: #bcd0c7;--bs-table-active-color: #000;--bs-table-hover-bg: #c1d6cc;--bs-table-hover-color: #000;color:var(--bs-table-color);border-color:var(--bs-table-border-color)}.table-info{--bs-table-color: #000;--bs-table-bg: #cff4fc;--bs-table-border-color: #badce3;--bs-table-striped-bg: #c5e8ef;--bs-table-striped-color: #000;--bs-table-active-bg: #badce3;--bs-table-active-color: #000;--bs-table-hover-bg: #bfe2e9;--bs-table-hover-color: #000;color:var(--bs-table-color);border-color:var(--bs-table-border-color)}.table-warning{--bs-table-color: #000;--bs-table-bg: #fff3cd;--bs-table-border-color: #e6dbb9;--bs-table-striped-bg: #f2e7c3;--bs-table-striped-color: #000;--bs-table-active-bg: #e6dbb9;--bs-table-active-color: #000;--bs-table-hover-bg: #ece1be;--bs-table-hover-color: #000;color:var(--bs-table-color);border-color:var(--bs-table-border-color)}.table-danger{--bs-table-color: #000;--bs-table-bg: #f8d7da;--bs-table-border-color: #dfc2c4;--bs-table-striped-bg: #eccccf;--bs-table-striped-color: #000;--bs-table-active-bg: #dfc2c4;--bs-table-active-color: #000;--bs-table-hover-bg: #e5c7ca;--bs-table-hover-color: #000;color:var(--bs-table-color);border-color:var(--bs-table-border-color)}.table-light{--bs-table-color: #000;--bs-table-bg: #f8f9fa;--bs-table-border-color: #dfe0e1;--bs-table-striped-bg: #ecedee;--bs-table-striped-color: #000;--bs-table-active-bg: #dfe0e1;--bs-table-active-color: #000;--bs-table-hover-bg: #e5e6e7;--bs-table-hover-color: #000;color:var(--bs-table-color);border-color:var(--bs-table-border-color)}.table-dark{--bs-table-color: #fff;--bs-table-bg: #212529;--bs-table-border-color: #373b3e;--bs-table-striped-bg: #2c3034;--bs-table-striped-color: #fff;--bs-table-active-bg: #373b3e;--bs-table-active-color: #fff;--bs-table-hover-bg: #323539;--bs-table-hover-color: #fff;color:var(--bs-table-color);border-color:var(--bs-table-border-color)}.table-responsive{overflow-x:auto;-webkit-overflow-scrolling:touch}@media (max-width: 575.98px){.table-responsive-sm{overflow-x:auto;-webkit-overflow-scrolling:touch}}@media (max-width: 767.98px){.table-responsive-md{overflow-x:auto;-webkit-overflow-scrolling:touch}}@media (max-width: 991.98px){.table-responsive-lg{overflow-x:auto;-webkit-overflow-scrolling:touch}}@media (max-width: 1199.98px){.table-responsive-xl{overflow-x:auto;-webkit-overflow-scrolling:touch}}@media (max-width: 1399.98px){.table-responsive-xxl{overflow-x:auto;-webkit-overflow-scrolling:touch}}.form-label,.shiny-input-container .control-label{margin-bottom:.5rem}.col-form-label{padding-top:calc(.375rem + var(--bs-border-width));padding-bottom:calc(.375rem + var(--bs-border-width));margin-bottom:0;font-size:inherit;line-height:1.5}.col-form-label-lg{padding-top:calc(.5rem + var(--bs-border-width));padding-bottom:calc(.5rem + var(--bs-border-width));font-size:1.25rem}.col-form-label-sm{padding-top:calc(.25rem + var(--bs-border-width));padding-bottom:calc(.25rem + var(--bs-border-width));font-size:.875rem}.form-text{margin-top:.25rem;font-size:.875em;color:var(--bs-secondary-color)}.form-control{display:block;width:100%;padding:.375rem .75rem;font-size:1rem;font-weight:400;line-height:1.5;color:var(--bs-body-color);appearance:none;-webkit-appearance:none;-moz-appearance:none;-ms-appearance:none;-o-appearance:none;background-color:var(--bs-body-bg);background-clip:padding-box;border:var(--bs-border-width) solid var(--bs-border-color);border-radius:var(--bs-border-radius);transition:border-color 0.15s ease-in-out,box-shadow 0.15s ease-in-out}@media (prefers-reduced-motion: reduce){.form-control{transition:none}}.form-control[type="file"]{overflow:hidden}.form-control[type="file"]:not(:disabled):not([readonly]){cursor:pointer}.form-control:focus{color:var(--bs-body-color);background-color:var(--bs-body-bg);border-color:#86b7fe;outline:0;box-shadow:0 0 0 .25rem rgba(13,110,253,0.25)}.form-control::-webkit-date-and-time-value{min-width:85px;height:1.5em;margin:0}.form-control::-webkit-datetime-edit{display:block;padding:0}.form-control::placeholder{color:var(--bs-secondary-color);opacity:1}.form-control:disabled{background-color:var(--bs-secondary-bg);opacity:1}.form-control::file-selector-button{padding:.375rem .75rem;margin:-.375rem -.75rem;margin-inline-end:.75rem;color:var(--bs-body-color);background-color:var(--bs-tertiary-bg);pointer-events:none;border-color:inherit;border-style:solid;border-width:0;border-inline-end-width:var(--bs-border-width);border-radius:0;transition:color 0.15s ease-in-out,background-color 0.15s ease-in-out,border-color 0.15s ease-in-out,box-shadow 0.15s ease-in-out}@media (prefers-reduced-motion: reduce){.form-control::file-selector-button{transition:none}}.form-control:hover:not(:disabled):not([readonly])::file-selector-button{background-color:var(--bs-secondary-bg)}.form-control-plaintext{display:block;width:100%;padding:.375rem 0;margin-bottom:0;line-height:1.5;color:var(--bs-body-color);background-color:transparent;border:solid transparent;border-width:var(--bs-border-width) 0}.form-control-plaintext:focus{outline:0}.form-control-plaintext.form-control-sm,.form-control-plaintext.form-control-lg{padding-right:0;padding-left:0}.form-control-sm{min-height:calc(1.5em + .5rem + calc(var(--bs-border-width) * 2));padding:.25rem .5rem;font-size:.875rem;border-radius:var(--bs-border-radius-sm)}.form-control-sm::file-selector-button{padding:.25rem .5rem;margin:-.25rem -.5rem;margin-inline-end:.5rem}.form-control-lg{min-height:calc(1.5em + 1rem + calc(var(--bs-border-width) * 2));padding:.5rem 1rem;font-size:1.25rem;border-radius:var(--bs-border-radius-lg)}.form-control-lg::file-selector-button{padding:.5rem 1rem;margin:-.5rem -1rem;margin-inline-end:1rem}textarea.form-control{min-height:calc(1.5em + .75rem + calc(var(--bs-border-width) * 2))}textarea.form-control-sm{min-height:calc(1.5em + .5rem + calc(var(--bs-border-width) * 2))}textarea.form-control-lg{min-height:calc(1.5em + 1rem + calc(var(--bs-border-width) * 2))}.form-control-color{width:3rem;height:calc(1.5em + .75rem + calc(var(--bs-border-width) * 2));padding:.375rem}.form-control-color:not(:disabled):not([readonly]){cursor:pointer}.form-control-color::-moz-color-swatch{border:0 !important;border-radius:var(--bs-border-radius)}.form-control-color::-webkit-color-swatch{border:0 !important;border-radius:var(--bs-border-radius)}.form-control-color.form-control-sm{height:calc(1.5em + .5rem + calc(var(--bs-border-width) * 2))}.form-control-color.form-control-lg{height:calc(1.5em + 1rem + calc(var(--bs-border-width) * 2))}.form-select{--bs-form-select-bg-img: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16'%3e%3cpath fill='none' stroke='%23343a40' stroke-linecap='round' stroke-linejoin='round' stroke-width='2' d='m2 5 6 6 6-6'/%3e%3c/svg%3e");display:block;width:100%;padding:.375rem 2.25rem .375rem .75rem;font-size:1rem;font-weight:400;line-height:1.5;color:var(--bs-body-color);appearance:none;-webkit-appearance:none;-moz-appearance:none;-ms-appearance:none;-o-appearance:none;background-color:var(--bs-body-bg);background-image:var(--bs-form-select-bg-img),var(--bs-form-select-bg-icon, none);background-repeat:no-repeat;background-position:right .75rem center;background-size:16px 12px;border:var(--bs-border-width) solid var(--bs-border-color);border-radius:var(--bs-border-radius);transition:border-color 0.15s ease-in-out,box-shadow 0.15s ease-in-out}@media (prefers-reduced-motion: reduce){.form-select{transition:none}}.form-select:focus{border-color:#86b7fe;outline:0;box-shadow:0 0 0 .25rem rgba(13,110,253,0.25)}.form-select[multiple],.form-select[size]:not([size="1"]){padding-right:.75rem;background-image:none}.form-select:disabled{background-color:var(--bs-secondary-bg)}.form-select:-moz-focusring{color:transparent;text-shadow:0 0 0 var(--bs-body-color)}.form-select-sm{padding-top:.25rem;padding-bottom:.25rem;padding-left:.5rem;font-size:.875rem;border-radius:var(--bs-border-radius-sm)}.form-select-lg{padding-top:.5rem;padding-bottom:.5rem;padding-left:1rem;font-size:1.25rem;border-radius:var(--bs-border-radius-lg)}[data-bs-theme="dark"] .form-select{--bs-form-select-bg-img: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16'%3e%3cpath fill='none' stroke='%23dee2e6' stroke-linecap='round' stroke-linejoin='round' stroke-width='2' d='m2 5 6 6 6-6'/%3e%3c/svg%3e")}.form-check,.shiny-input-container .checkbox,.shiny-input-container .radio{display:block;min-height:1.5rem;padding-left:0;margin-bottom:.125rem}.form-check .form-check-input,.form-check .shiny-input-container .checkbox input,.form-check .shiny-input-container .radio input,.shiny-input-container .checkbox .form-check-input,.shiny-input-container .checkbox .shiny-input-container .checkbox input,.shiny-input-container .checkbox .shiny-input-container .radio input,.shiny-input-container .radio .form-check-input,.shiny-input-container .radio .shiny-input-container .checkbox input,.shiny-input-container .radio .shiny-input-container .radio input{float:left;margin-left:0}.form-check-reverse{padding-right:0;padding-left:0;text-align:right}.form-check-reverse .form-check-input{float:right;margin-right:0;margin-left:0}.form-check-input,.shiny-input-container .checkbox input,.shiny-input-container .checkbox-inline input,.shiny-input-container .radio input,.shiny-input-container .radio-inline input{--bs-form-check-bg: var(--bs-body-bg);width:1em;height:1em;margin-top:.25em;vertical-align:top;appearance:none;-webkit-appearance:none;-moz-appearance:none;-ms-appearance:none;-o-appearance:none;background-color:var(--bs-form-check-bg);background-image:var(--bs-form-check-bg-image);background-repeat:no-repeat;background-position:center;background-size:contain;border:var(--bs-border-width) solid var(--bs-border-color);print-color-adjust:exact}.form-check-input[type="checkbox"],.shiny-input-container .checkbox input[type="checkbox"],.shiny-input-container .checkbox-inline input[type="checkbox"],.shiny-input-container .radio input[type="checkbox"],.shiny-input-container .radio-inline input[type="checkbox"]{border-radius:.25em}.form-check-input[type="radio"],.shiny-input-container .checkbox input[type="radio"],.shiny-input-container .checkbox-inline input[type="radio"],.shiny-input-container .radio input[type="radio"],.shiny-input-container .radio-inline input[type="radio"]{border-radius:50%}.form-check-input:active,.shiny-input-container .checkbox input:active,.shiny-input-container .checkbox-inline input:active,.shiny-input-container .radio input:active,.shiny-input-container .radio-inline input:active{filter:brightness(90%)}.form-check-input:focus,.shiny-input-container .checkbox input:focus,.shiny-input-container .checkbox-inline input:focus,.shiny-input-container .radio input:focus,.shiny-input-container .radio-inline input:focus{border-color:#86b7fe;outline:0;box-shadow:0 0 0 .25rem rgba(13,110,253,0.25)}.form-check-input:checked,.shiny-input-container .checkbox input:checked,.shiny-input-container .checkbox-inline input:checked,.shiny-input-container .radio input:checked,.shiny-input-container .radio-inline input:checked{background-color:#0d6efd;border-color:#0d6efd}.form-check-input:checked[type="checkbox"],.shiny-input-container .checkbox input:checked[type="checkbox"],.shiny-input-container .checkbox-inline input:checked[type="checkbox"],.shiny-input-container .radio input:checked[type="checkbox"],.shiny-input-container .radio-inline input:checked[type="checkbox"]{--bs-form-check-bg-image: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 20 20'%3e%3cpath fill='none' stroke='%23fff' stroke-linecap='round' stroke-linejoin='round' stroke-width='3' d='m6 10 3 3 6-6'/%3e%3c/svg%3e")}.form-check-input:checked[type="radio"],.shiny-input-container .checkbox input:checked[type="radio"],.shiny-input-container .checkbox-inline input:checked[type="radio"],.shiny-input-container .radio input:checked[type="radio"],.shiny-input-container .radio-inline input:checked[type="radio"]{--bs-form-check-bg-image: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='-4 -4 8 8'%3e%3ccircle r='2' fill='%23fff'/%3e%3c/svg%3e")}.form-check-input[type="checkbox"]:indeterminate,.shiny-input-container .checkbox input[type="checkbox"]:indeterminate,.shiny-input-container .checkbox-inline input[type="checkbox"]:indeterminate,.shiny-input-container .radio input[type="checkbox"]:indeterminate,.shiny-input-container .radio-inline input[type="checkbox"]:indeterminate{background-color:#0d6efd;border-color:#0d6efd;--bs-form-check-bg-image: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 20 20'%3e%3cpath fill='none' stroke='%23fff' stroke-linecap='round' stroke-linejoin='round' stroke-width='3' d='M6 10h8'/%3e%3c/svg%3e")}.form-check-input:disabled,.shiny-input-container .checkbox input:disabled,.shiny-input-container .checkbox-inline input:disabled,.shiny-input-container .radio input:disabled,.shiny-input-container .radio-inline input:disabled{pointer-events:none;filter:none;opacity:.5}.form-check-input[disabled]~.form-check-label,.form-check-input[disabled]~span,.form-check-input:disabled~.form-check-label,.form-check-input:disabled~span,.shiny-input-container .checkbox input[disabled]~.form-check-label,.shiny-input-container .checkbox input[disabled]~span,.shiny-input-container .checkbox input:disabled~.form-check-label,.shiny-input-container .checkbox input:disabled~span,.shiny-input-container .checkbox-inline input[disabled]~.form-check-label,.shiny-input-container .checkbox-inline input[disabled]~span,.shiny-input-container .checkbox-inline input:disabled~.form-check-label,.shiny-input-container .checkbox-inline input:disabled~span,.shiny-input-container .radio input[disabled]~.form-check-label,.shiny-input-container .radio input[disabled]~span,.shiny-input-container .radio input:disabled~.form-check-label,.shiny-input-container .radio input:disabled~span,.shiny-input-container .radio-inline input[disabled]~.form-check-label,.shiny-input-container .radio-inline input[disabled]~span,.shiny-input-container .radio-inline input:disabled~.form-check-label,.shiny-input-container .radio-inline input:disabled~span{cursor:default;opacity:.5}.form-check-label,.shiny-input-container .checkbox label,.shiny-input-container .checkbox-inline label,.shiny-input-container .radio label,.shiny-input-container .radio-inline label{cursor:pointer}.form-switch{padding-left:2.5em}.form-switch .form-check-input{--bs-form-switch-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='-4 -4 8 8'%3e%3ccircle r='3' fill='rgba%280,0,0,0.25%29'/%3e%3c/svg%3e");width:2em;margin-left:-2.5em;background-image:var(--bs-form-switch-bg);background-position:left center;border-radius:2em;transition:background-position 0.15s ease-in-out}@media (prefers-reduced-motion: reduce){.form-switch .form-check-input{transition:none}}.form-switch .form-check-input:focus{--bs-form-switch-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='-4 -4 8 8'%3e%3ccircle r='3' fill='%2386b7fe'/%3e%3c/svg%3e")}.form-switch .form-check-input:checked{background-position:right center;--bs-form-switch-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='-4 -4 8 8'%3e%3ccircle r='3' fill='%23fff'/%3e%3c/svg%3e")}.form-switch.form-check-reverse{padding-right:2.5em;padding-left:0}.form-switch.form-check-reverse .form-check-input{margin-right:-2.5em;margin-left:0}.form-check-inline{display:inline-block;margin-right:1rem}.btn-check{position:absolute;clip:rect(0, 0, 0, 0);pointer-events:none}.btn-check[disabled]+.btn,.btn-check:disabled+.btn{pointer-events:none;filter:none;opacity:.65}[data-bs-theme="dark"] .form-switch .form-check-input:not(:checked):not(:focus){--bs-form-switch-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='-4 -4 8 8'%3e%3ccircle r='3' fill='rgba%28255,255,255,0.25%29'/%3e%3c/svg%3e")}.form-range{width:100%;height:1.5rem;padding:0;appearance:none;-webkit-appearance:none;-moz-appearance:none;-ms-appearance:none;-o-appearance:none;background-color:transparent}.form-range:focus{outline:0}.form-range:focus::-webkit-slider-thumb{box-shadow:0 0 0 1px #fff,0 0 0 .25rem rgba(13,110,253,0.25)}.form-range:focus::-moz-range-thumb{box-shadow:0 0 0 1px #fff,0 0 0 .25rem rgba(13,110,253,0.25)}.form-range::-moz-focus-outer{border:0}.form-range::-webkit-slider-thumb{width:1rem;height:1rem;margin-top:-.25rem;appearance:none;-webkit-appearance:none;-moz-appearance:none;-ms-appearance:none;-o-appearance:none;background-color:#0d6efd;border:0;border-radius:1rem;transition:background-color 0.15s ease-in-out,border-color 0.15s ease-in-out,box-shadow 0.15s ease-in-out}@media (prefers-reduced-motion: reduce){.form-range::-webkit-slider-thumb{transition:none}}.form-range::-webkit-slider-thumb:active{background-color:#b6d4fe}.form-range::-webkit-slider-runnable-track{width:100%;height:.5rem;color:transparent;cursor:pointer;background-color:var(--bs-tertiary-bg);border-color:transparent;border-radius:1rem}.form-range::-moz-range-thumb{width:1rem;height:1rem;appearance:none;-webkit-appearance:none;-moz-appearance:none;-ms-appearance:none;-o-appearance:none;background-color:#0d6efd;border:0;border-radius:1rem;transition:background-color 0.15s ease-in-out,border-color 0.15s ease-in-out,box-shadow 0.15s ease-in-out}@media (prefers-reduced-motion: reduce){.form-range::-moz-range-thumb{transition:none}}.form-range::-moz-range-thumb:active{background-color:#b6d4fe}.form-range::-moz-range-track{width:100%;height:.5rem;color:transparent;cursor:pointer;background-color:var(--bs-tertiary-bg);border-color:transparent;border-radius:1rem}.form-range:disabled{pointer-events:none}.form-range:disabled::-webkit-slider-thumb{background-color:var(--bs-secondary-color)}.form-range:disabled::-moz-range-thumb{background-color:var(--bs-secondary-color)}.form-floating{position:relative}.form-floating>.form-control,.form-floating>.form-control-plaintext,.form-floating>.form-select{height:calc(3.5rem + calc(var(--bs-border-width) * 2));min-height:calc(3.5rem + calc(var(--bs-border-width) * 2));line-height:1.25}.form-floating>label{position:absolute;top:0;left:0;z-index:2;height:100%;padding:1rem .75rem;overflow:hidden;text-align:start;text-overflow:ellipsis;white-space:nowrap;pointer-events:none;border:var(--bs-border-width) solid transparent;transform-origin:0 0;transition:opacity 0.1s ease-in-out,transform 0.1s ease-in-out}@media (prefers-reduced-motion: reduce){.form-floating>label{transition:none}}.form-floating>.form-control,.form-floating>.form-control-plaintext{padding:1rem .75rem}.form-floating>.form-control::placeholder,.form-floating>.form-control-plaintext::placeholder{color:transparent}.form-floating>.form-control:focus,.form-floating>.form-control:not(:placeholder-shown),.form-floating>.form-control-plaintext:focus,.form-floating>.form-control-plaintext:not(:placeholder-shown){padding-top:1.625rem;padding-bottom:.625rem}.form-floating>.form-control:-webkit-autofill,.form-floating>.form-control-plaintext:-webkit-autofill{padding-top:1.625rem;padding-bottom:.625rem}.form-floating>.form-select{padding-top:1.625rem;padding-bottom:.625rem}.form-floating>.form-control:focus~label,.form-floating>.form-control:not(:placeholder-shown)~label,.form-floating>.form-control-plaintext~label,.form-floating>.form-select~label{color:rgba(var(--bs-body-color-rgb), .65);transform:scale(0.85) translateY(-0.5rem) translateX(0.15rem)}.form-floating>.form-control:focus~label::after,.form-floating>.form-control:not(:placeholder-shown)~label::after,.form-floating>.form-control-plaintext~label::after,.form-floating>.form-select~label::after{position:absolute;inset:1rem .375rem;z-index:-1;height:1.5em;content:"";background-color:var(--bs-body-bg);border-radius:var(--bs-border-radius)}.form-floating>.form-control:-webkit-autofill~label{color:rgba(var(--bs-body-color-rgb), .65);transform:scale(0.85) translateY(-0.5rem) translateX(0.15rem)}.form-floating>.form-control-plaintext~label{border-width:var(--bs-border-width) 0}.form-floating>:disabled~label,.form-floating>.form-control:disabled~label{color:#6c757d}.form-floating>:disabled~label::after,.form-floating>.form-control:disabled~label::after{background-color:var(--bs-secondary-bg)}.input-group{position:relative;display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;align-items:stretch;-webkit-align-items:stretch;width:100%}.input-group>.form-control,.input-group>.form-select,.input-group>.form-floating{position:relative;flex:1 1 auto;-webkit-flex:1 1 auto;width:1%;min-width:0}.input-group>.form-control:focus,.input-group>.form-select:focus,.input-group>.form-floating:focus-within{z-index:5}.input-group .btn{position:relative;z-index:2}.input-group .btn:focus{z-index:5}.input-group-text{display:flex;display:-webkit-flex;align-items:center;-webkit-align-items:center;padding:.375rem .75rem;font-size:1rem;font-weight:400;line-height:1.5;color:var(--bs-body-color);text-align:center;white-space:nowrap;background-color:var(--bs-tertiary-bg);border:var(--bs-border-width) solid var(--bs-border-color);border-radius:var(--bs-border-radius)}.input-group-lg>.form-control,.input-group-lg>.form-select,.input-group-lg>.input-group-text,.input-group-lg>.btn{padding:.5rem 1rem;font-size:1.25rem;border-radius:var(--bs-border-radius-lg)}.input-group-sm>.form-control,.input-group-sm>.form-select,.input-group-sm>.input-group-text,.input-group-sm>.btn{padding:.25rem .5rem;font-size:.875rem;border-radius:var(--bs-border-radius-sm)}.input-group-lg>.form-select,.input-group-sm>.form-select{padding-right:3rem}.input-group:not(.has-validation)>:not(:last-child):not(.dropdown-toggle):not(.dropdown-menu):not(.form-floating),.input-group:not(.has-validation)>.dropdown-toggle:nth-last-child(n + 3),.input-group:not(.has-validation)>.form-floating:not(:last-child)>.form-control,.input-group:not(.has-validation)>.form-floating:not(:last-child)>.form-select{border-top-right-radius:0;border-bottom-right-radius:0}.input-group.has-validation>:nth-last-child(n + 3):not(.dropdown-toggle):not(.dropdown-menu):not(.form-floating),.input-group.has-validation>.dropdown-toggle:nth-last-child(n + 4),.input-group.has-validation>.form-floating:nth-last-child(n + 3)>.form-control,.input-group.has-validation>.form-floating:nth-last-child(n + 3)>.form-select{border-top-right-radius:0;border-bottom-right-radius:0}.input-group>:not(:first-child):not(.dropdown-menu):not(.valid-tooltip):not(.valid-feedback):not(.invalid-tooltip):not(.invalid-feedback){margin-left:calc(var(--bs-border-width) * -1);border-top-left-radius:0;border-bottom-left-radius:0}.input-group>.form-floating:not(:first-child)>.form-control,.input-group>.form-floating:not(:first-child)>.form-select{border-top-left-radius:0;border-bottom-left-radius:0}.valid-feedback{display:none;width:100%;margin-top:.25rem;font-size:.875em;color:var(--bs-form-valid-color)}.valid-tooltip{position:absolute;top:100%;z-index:5;display:none;max-width:100%;padding:.25rem .5rem;margin-top:.1rem;font-size:.875rem;color:#fff;background-color:var(--bs-success);border-radius:var(--bs-border-radius)}.was-validated :valid~.valid-feedback,.was-validated :valid~.valid-tooltip,.is-valid~.valid-feedback,.is-valid~.valid-tooltip{display:block}.was-validated .form-control:valid,.form-control.is-valid{border-color:var(--bs-form-valid-border-color);padding-right:calc(1.5em + .75rem);background-image:url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 8 8'%3e%3cpath fill='%23198754' d='M2.3 6.73.6 4.53c-.4-1.04.46-1.4 1.1-.8l1.1 1.4 3.4-3.8c.6-.63 1.6-.27 1.2.7l-4 4.6c-.43.5-.8.4-1.1.1z'/%3e%3c/svg%3e");background-repeat:no-repeat;background-position:right calc(.375em + .1875rem) center;background-size:calc(.75em + .375rem) calc(.75em + .375rem)}.was-validated .form-control:valid:focus,.form-control.is-valid:focus{border-color:var(--bs-form-valid-border-color);box-shadow:0 0 0 .25rem rgba(var(--bs-success-rgb), 0.25)}.was-validated textarea.form-control:valid,textarea.form-control.is-valid{padding-right:calc(1.5em + .75rem);background-position:top calc(.375em + .1875rem) right calc(.375em + .1875rem)}.was-validated .form-select:valid,.form-select.is-valid{border-color:var(--bs-form-valid-border-color)}.was-validated .form-select:valid:not([multiple]):not([size]),.was-validated .form-select:valid:not([multiple])[size="1"],.form-select.is-valid:not([multiple]):not([size]),.form-select.is-valid:not([multiple])[size="1"]{--bs-form-select-bg-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 8 8'%3e%3cpath fill='%23198754' d='M2.3 6.73.6 4.53c-.4-1.04.46-1.4 1.1-.8l1.1 1.4 3.4-3.8c.6-.63 1.6-.27 1.2.7l-4 4.6c-.43.5-.8.4-1.1.1z'/%3e%3c/svg%3e");padding-right:4.125rem;background-position:right .75rem center,center right 2.25rem;background-size:16px 12px,calc(.75em + .375rem) calc(.75em + .375rem)}.was-validated .form-select:valid:focus,.form-select.is-valid:focus{border-color:var(--bs-form-valid-border-color);box-shadow:0 0 0 .25rem rgba(var(--bs-success-rgb), 0.25)}.was-validated .form-control-color:valid,.form-control-color.is-valid{width:calc(3rem + calc(1.5em + .75rem))}.was-validated .form-check-input:valid,.form-check-input.is-valid{border-color:var(--bs-form-valid-border-color)}.was-validated .form-check-input:valid:checked,.form-check-input.is-valid:checked{background-color:var(--bs-form-valid-color)}.was-validated .form-check-input:valid:focus,.form-check-input.is-valid:focus{box-shadow:0 0 0 .25rem rgba(var(--bs-success-rgb), 0.25)}.was-validated .form-check-input:valid~.form-check-label,.form-check-input.is-valid~.form-check-label{color:var(--bs-form-valid-color)}.form-check-inline .form-check-input~.valid-feedback{margin-left:.5em}.was-validated .input-group>.form-control:not(:focus):valid,.input-group>.form-control:not(:focus).is-valid,.was-validated .input-group>.form-select:not(:focus):valid,.input-group>.form-select:not(:focus).is-valid,.was-validated .input-group>.form-floating:not(:focus-within):valid,.input-group>.form-floating:not(:focus-within).is-valid{z-index:3}.invalid-feedback{display:none;width:100%;margin-top:.25rem;font-size:.875em;color:var(--bs-form-invalid-color)}.invalid-tooltip{position:absolute;top:100%;z-index:5;display:none;max-width:100%;padding:.25rem .5rem;margin-top:.1rem;font-size:.875rem;color:#fff;background-color:var(--bs-danger);border-radius:var(--bs-border-radius)}.was-validated :invalid~.invalid-feedback,.was-validated :invalid~.invalid-tooltip,.is-invalid~.invalid-feedback,.is-invalid~.invalid-tooltip{display:block}.was-validated .form-control:invalid,.form-control.is-invalid{border-color:var(--bs-form-invalid-border-color);padding-right:calc(1.5em + .75rem);background-image:url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 12 12' width='12' height='12' fill='none' stroke='%23dc3545'%3e%3ccircle cx='6' cy='6' r='4.5'/%3e%3cpath stroke-linejoin='round' d='M5.8 3.6h.4L6 6.5z'/%3e%3ccircle cx='6' cy='8.2' r='.6' fill='%23dc3545' stroke='none'/%3e%3c/svg%3e");background-repeat:no-repeat;background-position:right calc(.375em + .1875rem) center;background-size:calc(.75em + .375rem) calc(.75em + .375rem)}.was-validated .form-control:invalid:focus,.form-control.is-invalid:focus{border-color:var(--bs-form-invalid-border-color);box-shadow:0 0 0 .25rem rgba(var(--bs-danger-rgb), 0.25)}.was-validated textarea.form-control:invalid,textarea.form-control.is-invalid{padding-right:calc(1.5em + .75rem);background-position:top calc(.375em + .1875rem) right calc(.375em + .1875rem)}.was-validated .form-select:invalid,.form-select.is-invalid{border-color:var(--bs-form-invalid-border-color)}.was-validated .form-select:invalid:not([multiple]):not([size]),.was-validated .form-select:invalid:not([multiple])[size="1"],.form-select.is-invalid:not([multiple]):not([size]),.form-select.is-invalid:not([multiple])[size="1"]{--bs-form-select-bg-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 12 12' width='12' height='12' fill='none' stroke='%23dc3545'%3e%3ccircle cx='6' cy='6' r='4.5'/%3e%3cpath stroke-linejoin='round' d='M5.8 3.6h.4L6 6.5z'/%3e%3ccircle cx='6' cy='8.2' r='.6' fill='%23dc3545' stroke='none'/%3e%3c/svg%3e");padding-right:4.125rem;background-position:right .75rem center,center right 2.25rem;background-size:16px 12px,calc(.75em + .375rem) calc(.75em + .375rem)}.was-validated .form-select:invalid:focus,.form-select.is-invalid:focus{border-color:var(--bs-form-invalid-border-color);box-shadow:0 0 0 .25rem rgba(var(--bs-danger-rgb), 0.25)}.was-validated .form-control-color:invalid,.form-control-color.is-invalid{width:calc(3rem + calc(1.5em + .75rem))}.was-validated .form-check-input:invalid,.form-check-input.is-invalid{border-color:var(--bs-form-invalid-border-color)}.was-validated .form-check-input:invalid:checked,.form-check-input.is-invalid:checked{background-color:var(--bs-form-invalid-color)}.was-validated .form-check-input:invalid:focus,.form-check-input.is-invalid:focus{box-shadow:0 0 0 .25rem rgba(var(--bs-danger-rgb), 0.25)}.was-validated .form-check-input:invalid~.form-check-label,.form-check-input.is-invalid~.form-check-label{color:var(--bs-form-invalid-color)}.form-check-inline .form-check-input~.invalid-feedback{margin-left:.5em}.was-validated .input-group>.form-control:not(:focus):invalid,.input-group>.form-control:not(:focus).is-invalid,.was-validated .input-group>.form-select:not(:focus):invalid,.input-group>.form-select:not(:focus).is-invalid,.was-validated .input-group>.form-floating:not(:focus-within):invalid,.input-group>.form-floating:not(:focus-within).is-invalid{z-index:4}.btn{--bs-btn-padding-x: .75rem;--bs-btn-padding-y: .375rem;--bs-btn-font-family: ;--bs-btn-font-size:1rem;--bs-btn-font-weight: 400;--bs-btn-line-height: 1.5;--bs-btn-color: var(--bs-body-color);--bs-btn-bg: transparent;--bs-btn-border-width: var(--bs-border-width);--bs-btn-border-color: transparent;--bs-btn-border-radius: var(--bs-border-radius);--bs-btn-hover-border-color: transparent;--bs-btn-box-shadow: inset 0 1px 0 rgba(255,255,255,0.15),0 1px 1px rgba(0,0,0,0.075);--bs-btn-disabled-opacity: .65;--bs-btn-focus-box-shadow: 0 0 0 .25rem rgba(var(--bs-btn-focus-shadow-rgb), .5);display:inline-block;padding:var(--bs-btn-padding-y) var(--bs-btn-padding-x);font-family:var(--bs-btn-font-family);font-size:var(--bs-btn-font-size);font-weight:var(--bs-btn-font-weight);line-height:var(--bs-btn-line-height);color:var(--bs-btn-color);text-align:center;text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;vertical-align:middle;cursor:pointer;user-select:none;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;-o-user-select:none;border:var(--bs-btn-border-width) solid var(--bs-btn-border-color);border-radius:var(--bs-btn-border-radius);background-color:var(--bs-btn-bg);transition:color 0.15s ease-in-out,background-color 0.15s ease-in-out,border-color 0.15s ease-in-out,box-shadow 0.15s ease-in-out}@media (prefers-reduced-motion: reduce){.btn{transition:none}}.btn:hover{color:var(--bs-btn-hover-color);background-color:var(--bs-btn-hover-bg);border-color:var(--bs-btn-hover-border-color)}.btn-check+.btn:hover{color:var(--bs-btn-color);background-color:var(--bs-btn-bg);border-color:var(--bs-btn-border-color)}.btn:focus-visible{color:var(--bs-btn-hover-color);background-color:var(--bs-btn-hover-bg);border-color:var(--bs-btn-hover-border-color);outline:0;box-shadow:var(--bs-btn-focus-box-shadow)}.btn-check:focus-visible+.btn{border-color:var(--bs-btn-hover-border-color);outline:0;box-shadow:var(--bs-btn-focus-box-shadow)}.btn-check:checked+.btn,:not(.btn-check)+.btn:active,.btn:first-child:active,.btn.active,.btn.show{color:var(--bs-btn-active-color);background-color:var(--bs-btn-active-bg);border-color:var(--bs-btn-active-border-color)}.btn-check:checked+.btn:focus-visible,:not(.btn-check)+.btn:active:focus-visible,.btn:first-child:active:focus-visible,.btn.active:focus-visible,.btn.show:focus-visible{box-shadow:var(--bs-btn-focus-box-shadow)}.btn:disabled,.btn.disabled,fieldset:disabled .btn{color:var(--bs-btn-disabled-color);pointer-events:none;background-color:var(--bs-btn-disabled-bg);border-color:var(--bs-btn-disabled-border-color);opacity:var(--bs-btn-disabled-opacity)}.btn-default{--bs-btn-color: #000;--bs-btn-bg: #dee2e6;--bs-btn-border-color: #dee2e6;--bs-btn-hover-color: #000;--bs-btn-hover-bg: #e3e6ea;--bs-btn-hover-border-color: #e1e5e9;--bs-btn-focus-shadow-rgb: 189,192,196;--bs-btn-active-color: #000;--bs-btn-active-bg: #e5e8eb;--bs-btn-active-border-color: #e1e5e9;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #000;--bs-btn-disabled-bg: #dee2e6;--bs-btn-disabled-border-color: #dee2e6}.btn-primary{--bs-btn-color: #fff;--bs-btn-bg: #0d6efd;--bs-btn-border-color: #0d6efd;--bs-btn-hover-color: #fff;--bs-btn-hover-bg: #0b5ed7;--bs-btn-hover-border-color: #0a58ca;--bs-btn-focus-shadow-rgb: 49,132,253;--bs-btn-active-color: #fff;--bs-btn-active-bg: #0a58ca;--bs-btn-active-border-color: #0a53be;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #fff;--bs-btn-disabled-bg: #0d6efd;--bs-btn-disabled-border-color: #0d6efd}.btn-secondary{--bs-btn-color: #fff;--bs-btn-bg: #6c757d;--bs-btn-border-color: #6c757d;--bs-btn-hover-color: #fff;--bs-btn-hover-bg: #5c636a;--bs-btn-hover-border-color: #565e64;--bs-btn-focus-shadow-rgb: 130,138,145;--bs-btn-active-color: #fff;--bs-btn-active-bg: #565e64;--bs-btn-active-border-color: #51585e;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #fff;--bs-btn-disabled-bg: #6c757d;--bs-btn-disabled-border-color: #6c757d}.btn-success{--bs-btn-color: #fff;--bs-btn-bg: #198754;--bs-btn-border-color: #198754;--bs-btn-hover-color: #fff;--bs-btn-hover-bg: #157347;--bs-btn-hover-border-color: #146c43;--bs-btn-focus-shadow-rgb: 60,153,110;--bs-btn-active-color: #fff;--bs-btn-active-bg: #146c43;--bs-btn-active-border-color: #13653f;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #fff;--bs-btn-disabled-bg: #198754;--bs-btn-disabled-border-color: #198754}.btn-info{--bs-btn-color: #000;--bs-btn-bg: #0dcaf0;--bs-btn-border-color: #0dcaf0;--bs-btn-hover-color: #000;--bs-btn-hover-bg: #31d2f2;--bs-btn-hover-border-color: #25cff2;--bs-btn-focus-shadow-rgb: 11,172,204;--bs-btn-active-color: #000;--bs-btn-active-bg: #3dd5f3;--bs-btn-active-border-color: #25cff2;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #000;--bs-btn-disabled-bg: #0dcaf0;--bs-btn-disabled-border-color: #0dcaf0}.btn-warning{--bs-btn-color: #000;--bs-btn-bg: #ffc107;--bs-btn-border-color: #ffc107;--bs-btn-hover-color: #000;--bs-btn-hover-bg: #ffca2c;--bs-btn-hover-border-color: #ffc720;--bs-btn-focus-shadow-rgb: 217,164,6;--bs-btn-active-color: #000;--bs-btn-active-bg: #ffcd39;--bs-btn-active-border-color: #ffc720;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #000;--bs-btn-disabled-bg: #ffc107;--bs-btn-disabled-border-color: #ffc107}.btn-danger{--bs-btn-color: #fff;--bs-btn-bg: #dc3545;--bs-btn-border-color: #dc3545;--bs-btn-hover-color: #fff;--bs-btn-hover-bg: #bb2d3b;--bs-btn-hover-border-color: #b02a37;--bs-btn-focus-shadow-rgb: 225,83,97;--bs-btn-active-color: #fff;--bs-btn-active-bg: #b02a37;--bs-btn-active-border-color: #a52834;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #fff;--bs-btn-disabled-bg: #dc3545;--bs-btn-disabled-border-color: #dc3545}.btn-light{--bs-btn-color: #000;--bs-btn-bg: #f8f9fa;--bs-btn-border-color: #f8f9fa;--bs-btn-hover-color: #000;--bs-btn-hover-bg: #d3d4d5;--bs-btn-hover-border-color: #c6c7c8;--bs-btn-focus-shadow-rgb: 211,212,213;--bs-btn-active-color: #000;--bs-btn-active-bg: #c6c7c8;--bs-btn-active-border-color: #babbbc;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #000;--bs-btn-disabled-bg: #f8f9fa;--bs-btn-disabled-border-color: #f8f9fa}.btn-dark{--bs-btn-color: #fff;--bs-btn-bg: #212529;--bs-btn-border-color: #212529;--bs-btn-hover-color: #fff;--bs-btn-hover-bg: #424649;--bs-btn-hover-border-color: #373b3e;--bs-btn-focus-shadow-rgb: 66,70,73;--bs-btn-active-color: #fff;--bs-btn-active-bg: #4d5154;--bs-btn-active-border-color: #373b3e;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #fff;--bs-btn-disabled-bg: #212529;--bs-btn-disabled-border-color: #212529}.btn-outline-default{--bs-btn-color: #dee2e6;--bs-btn-border-color: #dee2e6;--bs-btn-hover-color: #000;--bs-btn-hover-bg: #dee2e6;--bs-btn-hover-border-color: #dee2e6;--bs-btn-focus-shadow-rgb: 222,226,230;--bs-btn-active-color: #000;--bs-btn-active-bg: #dee2e6;--bs-btn-active-border-color: #dee2e6;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #dee2e6;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #dee2e6;--bs-btn-bg: transparent;--bs-gradient: none}.btn-outline-primary{--bs-btn-color: #0d6efd;--bs-btn-border-color: #0d6efd;--bs-btn-hover-color: #fff;--bs-btn-hover-bg: #0d6efd;--bs-btn-hover-border-color: #0d6efd;--bs-btn-focus-shadow-rgb: 13,110,253;--bs-btn-active-color: #fff;--bs-btn-active-bg: #0d6efd;--bs-btn-active-border-color: #0d6efd;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #0d6efd;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #0d6efd;--bs-btn-bg: transparent;--bs-gradient: none}.btn-outline-secondary{--bs-btn-color: #6c757d;--bs-btn-border-color: #6c757d;--bs-btn-hover-color: #fff;--bs-btn-hover-bg: #6c757d;--bs-btn-hover-border-color: #6c757d;--bs-btn-focus-shadow-rgb: 108,117,125;--bs-btn-active-color: #fff;--bs-btn-active-bg: #6c757d;--bs-btn-active-border-color: #6c757d;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #6c757d;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #6c757d;--bs-btn-bg: transparent;--bs-gradient: none}.btn-outline-success{--bs-btn-color: #198754;--bs-btn-border-color: #198754;--bs-btn-hover-color: #fff;--bs-btn-hover-bg: #198754;--bs-btn-hover-border-color: #198754;--bs-btn-focus-shadow-rgb: 25,135,84;--bs-btn-active-color: #fff;--bs-btn-active-bg: #198754;--bs-btn-active-border-color: #198754;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #198754;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #198754;--bs-btn-bg: transparent;--bs-gradient: none}.btn-outline-info{--bs-btn-color: #0dcaf0;--bs-btn-border-color: #0dcaf0;--bs-btn-hover-color: #000;--bs-btn-hover-bg: #0dcaf0;--bs-btn-hover-border-color: #0dcaf0;--bs-btn-focus-shadow-rgb: 13,202,240;--bs-btn-active-color: #000;--bs-btn-active-bg: #0dcaf0;--bs-btn-active-border-color: #0dcaf0;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #0dcaf0;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #0dcaf0;--bs-btn-bg: transparent;--bs-gradient: none}.btn-outline-warning{--bs-btn-color: #ffc107;--bs-btn-border-color: #ffc107;--bs-btn-hover-color: #000;--bs-btn-hover-bg: #ffc107;--bs-btn-hover-border-color: #ffc107;--bs-btn-focus-shadow-rgb: 255,193,7;--bs-btn-active-color: #000;--bs-btn-active-bg: #ffc107;--bs-btn-active-border-color: #ffc107;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #ffc107;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #ffc107;--bs-btn-bg: transparent;--bs-gradient: none}.btn-outline-danger{--bs-btn-color: #dc3545;--bs-btn-border-color: #dc3545;--bs-btn-hover-color: #fff;--bs-btn-hover-bg: #dc3545;--bs-btn-hover-border-color: #dc3545;--bs-btn-focus-shadow-rgb: 220,53,69;--bs-btn-active-color: #fff;--bs-btn-active-bg: #dc3545;--bs-btn-active-border-color: #dc3545;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #dc3545;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #dc3545;--bs-btn-bg: transparent;--bs-gradient: none}.btn-outline-light{--bs-btn-color: #f8f9fa;--bs-btn-border-color: #f8f9fa;--bs-btn-hover-color: #000;--bs-btn-hover-bg: #f8f9fa;--bs-btn-hover-border-color: #f8f9fa;--bs-btn-focus-shadow-rgb: 248,249,250;--bs-btn-active-color: #000;--bs-btn-active-bg: #f8f9fa;--bs-btn-active-border-color: #f8f9fa;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #f8f9fa;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #f8f9fa;--bs-btn-bg: transparent;--bs-gradient: none}.btn-outline-dark{--bs-btn-color: #212529;--bs-btn-border-color: #212529;--bs-btn-hover-color: #fff;--bs-btn-hover-bg: #212529;--bs-btn-hover-border-color: #212529;--bs-btn-focus-shadow-rgb: 33,37,41;--bs-btn-active-color: #fff;--bs-btn-active-bg: #212529;--bs-btn-active-border-color: #212529;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #212529;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #212529;--bs-btn-bg: transparent;--bs-gradient: none}.btn-link{--bs-btn-font-weight: 400;--bs-btn-color: var(--bs-link-color);--bs-btn-bg: transparent;--bs-btn-border-color: transparent;--bs-btn-hover-color: var(--bs-link-hover-color);--bs-btn-hover-border-color: transparent;--bs-btn-active-color: var(--bs-link-hover-color);--bs-btn-active-border-color: transparent;--bs-btn-disabled-color: #6c757d;--bs-btn-disabled-border-color: transparent;--bs-btn-box-shadow: 0 0 0 #000;--bs-btn-focus-shadow-rgb: 49,132,253;text-decoration:underline;-webkit-text-decoration:underline;-moz-text-decoration:underline;-ms-text-decoration:underline;-o-text-decoration:underline}.btn-link:focus-visible{color:var(--bs-btn-color)}.btn-link:hover{color:var(--bs-btn-hover-color)}.btn-lg,.btn-group-lg>.btn{--bs-btn-padding-y: .5rem;--bs-btn-padding-x: 1rem;--bs-btn-font-size:1.25rem;--bs-btn-border-radius: var(--bs-border-radius-lg)}.btn-sm,.btn-group-sm>.btn{--bs-btn-padding-y: .25rem;--bs-btn-padding-x: .5rem;--bs-btn-font-size:.875rem;--bs-btn-border-radius: var(--bs-border-radius-sm)}.fade{transition:opacity 0.15s linear}@media (prefers-reduced-motion: reduce){.fade{transition:none}}.fade:not(.show){opacity:0}.collapse:not(.show){display:none}.collapsing{height:0;overflow:hidden;transition:height 0.35s ease}@media (prefers-reduced-motion: reduce){.collapsing{transition:none}}.collapsing.collapse-horizontal{width:0;height:auto;transition:width 0.35s ease}@media (prefers-reduced-motion: reduce){.collapsing.collapse-horizontal{transition:none}}.dropup,.dropend,.dropdown,.dropstart,.dropup-center,.dropdown-center{position:relative}.dropdown-toggle{white-space:nowrap}.dropdown-toggle::after{display:inline-block;margin-left:.255em;vertical-align:.255em;content:"";border-top:.3em solid;border-right:.3em solid transparent;border-bottom:0;border-left:.3em solid transparent}.dropdown-toggle:empty::after{margin-left:0}.dropdown-menu{--bs-dropdown-zindex: 1000;--bs-dropdown-min-width: 10rem;--bs-dropdown-padding-x: 0;--bs-dropdown-padding-y: .5rem;--bs-dropdown-spacer: .125rem;--bs-dropdown-font-size:1rem;--bs-dropdown-color: var(--bs-body-color);--bs-dropdown-bg: var(--bs-body-bg);--bs-dropdown-border-color: var(--bs-border-color-translucent);--bs-dropdown-border-radius: var(--bs-border-radius);--bs-dropdown-border-width: var(--bs-border-width);--bs-dropdown-inner-border-radius: calc(var(--bs-border-radius) - var(--bs-border-width));--bs-dropdown-divider-bg: var(--bs-border-color-translucent);--bs-dropdown-divider-margin-y: .5rem;--bs-dropdown-box-shadow: 0 0.5rem 1rem rgba(0,0,0,0.15);--bs-dropdown-link-color: var(--bs-body-color);--bs-dropdown-link-hover-color: var(--bs-body-color);--bs-dropdown-link-hover-bg: var(--bs-tertiary-bg);--bs-dropdown-link-active-color: #fff;--bs-dropdown-link-active-bg: #0d6efd;--bs-dropdown-link-disabled-color: var(--bs-tertiary-color);--bs-dropdown-item-padding-x: 1rem;--bs-dropdown-item-padding-y: .25rem;--bs-dropdown-header-color: #6c757d;--bs-dropdown-header-padding-x: 1rem;--bs-dropdown-header-padding-y: .5rem;position:absolute;z-index:var(--bs-dropdown-zindex);display:none;min-width:var(--bs-dropdown-min-width);padding:var(--bs-dropdown-padding-y) var(--bs-dropdown-padding-x);margin:0;font-size:var(--bs-dropdown-font-size);color:var(--bs-dropdown-color);text-align:left;list-style:none;background-color:var(--bs-dropdown-bg);background-clip:padding-box;border:var(--bs-dropdown-border-width) solid var(--bs-dropdown-border-color);border-radius:var(--bs-dropdown-border-radius)}.dropdown-menu[data-bs-popper]{top:100%;left:0;margin-top:var(--bs-dropdown-spacer)}.dropdown-menu-start{--bs-position: start}.dropdown-menu-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-end{--bs-position: end}.dropdown-menu-end[data-bs-popper]{right:0;left:auto}@media (min-width: 576px){.dropdown-menu-sm-start{--bs-position: start}.dropdown-menu-sm-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-sm-end{--bs-position: end}.dropdown-menu-sm-end[data-bs-popper]{right:0;left:auto}}@media (min-width: 768px){.dropdown-menu-md-start{--bs-position: start}.dropdown-menu-md-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-md-end{--bs-position: end}.dropdown-menu-md-end[data-bs-popper]{right:0;left:auto}}@media (min-width: 992px){.dropdown-menu-lg-start{--bs-position: start}.dropdown-menu-lg-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-lg-end{--bs-position: end}.dropdown-menu-lg-end[data-bs-popper]{right:0;left:auto}}@media (min-width: 1200px){.dropdown-menu-xl-start{--bs-position: start}.dropdown-menu-xl-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-xl-end{--bs-position: end}.dropdown-menu-xl-end[data-bs-popper]{right:0;left:auto}}@media (min-width: 1400px){.dropdown-menu-xxl-start{--bs-position: start}.dropdown-menu-xxl-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-xxl-end{--bs-position: end}.dropdown-menu-xxl-end[data-bs-popper]{right:0;left:auto}}.dropup .dropdown-menu[data-bs-popper]{top:auto;bottom:100%;margin-top:0;margin-bottom:var(--bs-dropdown-spacer)}.dropup .dropdown-toggle::after{display:inline-block;margin-left:.255em;vertical-align:.255em;content:"";border-top:0;border-right:.3em solid transparent;border-bottom:.3em solid;border-left:.3em solid transparent}.dropup .dropdown-toggle:empty::after{margin-left:0}.dropend .dropdown-menu[data-bs-popper]{top:0;right:auto;left:100%;margin-top:0;margin-left:var(--bs-dropdown-spacer)}.dropend .dropdown-toggle::after{display:inline-block;margin-left:.255em;vertical-align:.255em;content:"";border-top:.3em solid transparent;border-right:0;border-bottom:.3em solid transparent;border-left:.3em solid}.dropend .dropdown-toggle:empty::after{margin-left:0}.dropend .dropdown-toggle::after{vertical-align:0}.dropstart .dropdown-menu[data-bs-popper]{top:0;right:100%;left:auto;margin-top:0;margin-right:var(--bs-dropdown-spacer)}.dropstart .dropdown-toggle::after{display:inline-block;margin-left:.255em;vertical-align:.255em;content:""}.dropstart .dropdown-toggle::after{display:none}.dropstart .dropdown-toggle::before{display:inline-block;margin-right:.255em;vertical-align:.255em;content:"";border-top:.3em solid transparent;border-right:.3em solid;border-bottom:.3em solid transparent}.dropstart .dropdown-toggle:empty::after{margin-left:0}.dropstart .dropdown-toggle::before{vertical-align:0}.dropdown-divider{height:0;margin:var(--bs-dropdown-divider-margin-y) 0;overflow:hidden;border-top:1px solid var(--bs-dropdown-divider-bg);opacity:1}.dropdown-item{display:block;width:100%;padding:var(--bs-dropdown-item-padding-y) var(--bs-dropdown-item-padding-x);clear:both;font-weight:400;color:var(--bs-dropdown-link-color);text-align:inherit;text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;white-space:nowrap;background-color:transparent;border:0;border-radius:var(--bs-dropdown-item-border-radius, 0)}.dropdown-item:hover,.dropdown-item:focus{color:var(--bs-dropdown-link-hover-color);background-color:var(--bs-dropdown-link-hover-bg)}.dropdown-item.active,.dropdown-item:active{color:var(--bs-dropdown-link-active-color);text-decoration:none;background-color:var(--bs-dropdown-link-active-bg)}.dropdown-item.disabled,.dropdown-item:disabled{color:var(--bs-dropdown-link-disabled-color);pointer-events:none;background-color:transparent}.dropdown-menu.show{display:block}.dropdown-header{display:block;padding:var(--bs-dropdown-header-padding-y) var(--bs-dropdown-header-padding-x);margin-bottom:0;font-size:.875rem;color:var(--bs-dropdown-header-color);white-space:nowrap}.dropdown-item-text{display:block;padding:var(--bs-dropdown-item-padding-y) var(--bs-dropdown-item-padding-x);color:var(--bs-dropdown-link-color)}.dropdown-menu-dark{--bs-dropdown-color: #dee2e6;--bs-dropdown-bg: #343a40;--bs-dropdown-border-color: var(--bs-border-color-translucent);--bs-dropdown-box-shadow: ;--bs-dropdown-link-color: #dee2e6;--bs-dropdown-link-hover-color: #fff;--bs-dropdown-divider-bg: var(--bs-border-color-translucent);--bs-dropdown-link-hover-bg: rgba(255,255,255,0.15);--bs-dropdown-link-active-color: #fff;--bs-dropdown-link-active-bg: #0d6efd;--bs-dropdown-link-disabled-color: #adb5bd;--bs-dropdown-header-color: #adb5bd}.btn-group,.btn-group-vertical{position:relative;display:inline-flex;vertical-align:middle}.btn-group>.btn,.btn-group-vertical>.btn{position:relative;flex:1 1 auto;-webkit-flex:1 1 auto}.btn-group>.btn-check:checked+.btn,.btn-group>.btn-check:focus+.btn,.btn-group>.btn:hover,.btn-group>.btn:focus,.btn-group>.btn:active,.btn-group>.btn.active,.btn-group-vertical>.btn-check:checked+.btn,.btn-group-vertical>.btn-check:focus+.btn,.btn-group-vertical>.btn:hover,.btn-group-vertical>.btn:focus,.btn-group-vertical>.btn:active,.btn-group-vertical>.btn.active{z-index:1}.btn-toolbar{display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;justify-content:flex-start;-webkit-justify-content:flex-start}.btn-toolbar .input-group{width:auto}.btn-group{border-radius:var(--bs-border-radius)}.btn-group>:not(.btn-check:first-child)+.btn,.btn-group>.btn-group:not(:first-child){margin-left:calc(var(--bs-border-width) * -1)}.btn-group>.btn:not(:last-child):not(.dropdown-toggle),.btn-group>.btn.dropdown-toggle-split:first-child,.btn-group>.btn-group:not(:last-child)>.btn{border-top-right-radius:0;border-bottom-right-radius:0}.btn-group>.btn:nth-child(n + 3),.btn-group>:not(.btn-check)+.btn,.btn-group>.btn-group:not(:first-child)>.btn{border-top-left-radius:0;border-bottom-left-radius:0}.dropdown-toggle-split{padding-right:.5625rem;padding-left:.5625rem}.dropdown-toggle-split::after,.dropup .dropdown-toggle-split::after,.dropend .dropdown-toggle-split::after{margin-left:0}.dropstart .dropdown-toggle-split::before{margin-right:0}.btn-sm+.dropdown-toggle-split,.btn-group-sm>.btn+.dropdown-toggle-split{padding-right:.375rem;padding-left:.375rem}.btn-lg+.dropdown-toggle-split,.btn-group-lg>.btn+.dropdown-toggle-split{padding-right:.75rem;padding-left:.75rem}.btn-group-vertical{flex-direction:column;-webkit-flex-direction:column;align-items:flex-start;-webkit-align-items:flex-start;justify-content:center;-webkit-justify-content:center}.btn-group-vertical>.btn,.btn-group-vertical>.btn-group{width:100%}.btn-group-vertical>.btn:not(:first-child),.btn-group-vertical>.btn-group:not(:first-child){margin-top:calc(var(--bs-border-width) * -1)}.btn-group-vertical>.btn:not(:last-child):not(.dropdown-toggle),.btn-group-vertical>.btn-group:not(:last-child)>.btn{border-bottom-right-radius:0;border-bottom-left-radius:0}.btn-group-vertical>.btn~.btn,.btn-group-vertical>.btn-group:not(:first-child)>.btn{border-top-left-radius:0;border-top-right-radius:0}.nav{--bs-nav-link-padding-x: 1rem;--bs-nav-link-padding-y: .5rem;--bs-nav-link-font-weight: ;--bs-nav-link-color: var(--bs-link-color);--bs-nav-link-hover-color: var(--bs-link-hover-color);--bs-nav-link-disabled-color: var(--bs-secondary-color);display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;padding-left:0;margin-bottom:0;list-style:none}.nav-link{display:block;padding:var(--bs-nav-link-padding-y) var(--bs-nav-link-padding-x);font-size:var(--bs-nav-link-font-size);font-weight:var(--bs-nav-link-font-weight);color:var(--bs-nav-link-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background:none;border:0;transition:color 0.15s ease-in-out,background-color 0.15s ease-in-out,border-color 0.15s ease-in-out}@media (prefers-reduced-motion: reduce){.nav-link{transition:none}}.nav-link:hover,.nav-link:focus{color:var(--bs-nav-link-hover-color)}.nav-link:focus-visible{outline:0;box-shadow:0 0 0 .25rem rgba(13,110,253,0.25)}.nav-link.disabled,.nav-link:disabled{color:var(--bs-nav-link-disabled-color);pointer-events:none;cursor:default}.nav-tabs{--bs-nav-tabs-border-width: var(--bs-border-width);--bs-nav-tabs-border-color: var(--bs-border-color);--bs-nav-tabs-border-radius: var(--bs-border-radius);--bs-nav-tabs-link-hover-border-color: var(--bs-secondary-bg) var(--bs-secondary-bg) var(--bs-border-color);--bs-nav-tabs-link-active-color: var(--bs-emphasis-color);--bs-nav-tabs-link-active-bg: var(--bs-body-bg);--bs-nav-tabs-link-active-border-color: var(--bs-border-color) var(--bs-border-color) var(--bs-body-bg);border-bottom:var(--bs-nav-tabs-border-width) solid var(--bs-nav-tabs-border-color)}.nav-tabs .nav-link{margin-bottom:calc(-1 * var(--bs-nav-tabs-border-width));border:var(--bs-nav-tabs-border-width) solid transparent;border-top-left-radius:var(--bs-nav-tabs-border-radius);border-top-right-radius:var(--bs-nav-tabs-border-radius)}.nav-tabs .nav-link:hover,.nav-tabs .nav-link:focus{isolation:isolate;border-color:var(--bs-nav-tabs-link-hover-border-color)}.nav-tabs .nav-link.active,.nav-tabs .nav-item.show .nav-link{color:var(--bs-nav-tabs-link-active-color);background-color:var(--bs-nav-tabs-link-active-bg);border-color:var(--bs-nav-tabs-link-active-border-color)}.nav-tabs .dropdown-menu{margin-top:calc(-1 * var(--bs-nav-tabs-border-width));border-top-left-radius:0;border-top-right-radius:0}.nav-pills{--bs-nav-pills-border-radius: var(--bs-border-radius);--bs-nav-pills-link-active-color: #fff;--bs-nav-pills-link-active-bg: #0d6efd}.nav-pills .nav-link{border-radius:var(--bs-nav-pills-border-radius)}.nav-pills .nav-link.active,.nav-pills .show>.nav-link{color:var(--bs-nav-pills-link-active-color);background-color:var(--bs-nav-pills-link-active-bg)}.nav-underline{--bs-nav-underline-gap: 1rem;--bs-nav-underline-border-width: .125rem;--bs-nav-underline-link-active-color: var(--bs-emphasis-color);gap:var(--bs-nav-underline-gap)}.nav-underline .nav-link{padding-right:0;padding-left:0;border-bottom:var(--bs-nav-underline-border-width) solid transparent}.nav-underline .nav-link:hover,.nav-underline .nav-link:focus{border-bottom-color:currentcolor}.nav-underline .nav-link.active,.nav-underline .show>.nav-link{font-weight:700;color:var(--bs-nav-underline-link-active-color);border-bottom-color:currentcolor}.nav-fill>.nav-link,.nav-fill .nav-item{flex:1 1 auto;-webkit-flex:1 1 auto;text-align:center}.nav-justified>.nav-link,.nav-justified .nav-item{flex-basis:0;-webkit-flex-basis:0;flex-grow:1;-webkit-flex-grow:1;text-align:center}.nav-fill .nav-item .nav-link,.nav-justified .nav-item .nav-link{width:100%}.tab-content>.tab-pane{display:none}.tab-content>.active{display:block}.navbar{--bs-navbar-padding-x: 0;--bs-navbar-padding-y: .5rem;--bs-navbar-color: rgba(var(--bs-emphasis-color-rgb), 0.65);--bs-navbar-hover-color: rgba(var(--bs-emphasis-color-rgb), 0.8);--bs-navbar-disabled-color: rgba(var(--bs-emphasis-color-rgb), 0.3);--bs-navbar-active-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-brand-padding-y: .3125rem;--bs-navbar-brand-margin-end: 1rem;--bs-navbar-brand-font-size: 1.25rem;--bs-navbar-brand-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-brand-hover-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-nav-link-padding-x: .5rem;--bs-navbar-toggler-padding-y: .25rem;--bs-navbar-toggler-padding-x: .75rem;--bs-navbar-toggler-font-size: 1.25rem;--bs-navbar-toggler-icon-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'%3e%3cpath stroke='rgba%2833,37,41,0.75%29' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/%3e%3c/svg%3e");--bs-navbar-toggler-border-color: rgba(var(--bs-emphasis-color-rgb), 0.15);--bs-navbar-toggler-border-radius: var(--bs-border-radius);--bs-navbar-toggler-focus-width: .25rem;--bs-navbar-toggler-transition: box-shadow 0.15s ease-in-out;position:relative;display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;align-items:center;-webkit-align-items:center;justify-content:space-between;-webkit-justify-content:space-between;padding:var(--bs-navbar-padding-y) var(--bs-navbar-padding-x)}.navbar>.container,.navbar>.container-fluid,.navbar>.container-sm,.navbar>.container-md,.navbar>.container-lg,.navbar>.container-xl,.navbar>.container-xxl{display:flex;display:-webkit-flex;flex-wrap:inherit;-webkit-flex-wrap:inherit;align-items:center;-webkit-align-items:center;justify-content:space-between;-webkit-justify-content:space-between}.navbar-brand{padding-top:var(--bs-navbar-brand-padding-y);padding-bottom:var(--bs-navbar-brand-padding-y);margin-right:var(--bs-navbar-brand-margin-end);font-size:var(--bs-navbar-brand-font-size);color:var(--bs-navbar-brand-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;white-space:nowrap}.navbar-brand:hover,.navbar-brand:focus{color:var(--bs-navbar-brand-hover-color)}.navbar-nav{--bs-nav-link-padding-x: 0;--bs-nav-link-padding-y: .5rem;--bs-nav-link-font-weight: ;--bs-nav-link-color: var(--bs-navbar-color);--bs-nav-link-hover-color: var(--bs-navbar-hover-color);--bs-nav-link-disabled-color: var(--bs-navbar-disabled-color);display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;padding-left:0;margin-bottom:0;list-style:none}.navbar-nav .nav-link.active,.navbar-nav .nav-link.show{color:var(--bs-navbar-active-color)}.navbar-nav .dropdown-menu{position:static}.navbar-text{padding-top:.5rem;padding-bottom:.5rem;color:var(--bs-navbar-color)}.navbar-text a,.navbar-text a:hover,.navbar-text a:focus{color:var(--bs-navbar-active-color)}.navbar-collapse{flex-basis:100%;-webkit-flex-basis:100%;flex-grow:1;-webkit-flex-grow:1;align-items:center;-webkit-align-items:center}.navbar-toggler{padding:var(--bs-navbar-toggler-padding-y) var(--bs-navbar-toggler-padding-x);font-size:var(--bs-navbar-toggler-font-size);line-height:1;color:var(--bs-navbar-color);background-color:transparent;border:var(--bs-border-width) solid var(--bs-navbar-toggler-border-color);border-radius:var(--bs-navbar-toggler-border-radius);transition:var(--bs-navbar-toggler-transition)}@media (prefers-reduced-motion: reduce){.navbar-toggler{transition:none}}.navbar-toggler:hover{text-decoration:none}.navbar-toggler:focus{text-decoration:none;outline:0;box-shadow:0 0 0 var(--bs-navbar-toggler-focus-width)}.navbar-toggler-icon{display:inline-block;width:1.5em;height:1.5em;vertical-align:middle;background-image:var(--bs-navbar-toggler-icon-bg);background-repeat:no-repeat;background-position:center;background-size:100%}.navbar-nav-scroll{max-height:var(--bs-scroll-height, 75vh);overflow-y:auto}@media (min-width: 576px){.navbar-expand-sm{flex-wrap:nowrap;-webkit-flex-wrap:nowrap;justify-content:flex-start;-webkit-justify-content:flex-start}.navbar-expand-sm .navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand-sm .navbar-nav .dropdown-menu{position:absolute}.navbar-expand-sm .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand-sm .navbar-nav-scroll{overflow:visible}.navbar-expand-sm .navbar-collapse{display:flex !important;display:-webkit-flex !important;flex-basis:auto;-webkit-flex-basis:auto}.navbar-expand-sm .navbar-toggler{display:none}.navbar-expand-sm .offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:transparent !important;border:0 !important;transform:none !important;transition:none}.navbar-expand-sm .offcanvas .offcanvas-header{display:none}.navbar-expand-sm .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}}@media (min-width: 768px){.navbar-expand-md{flex-wrap:nowrap;-webkit-flex-wrap:nowrap;justify-content:flex-start;-webkit-justify-content:flex-start}.navbar-expand-md .navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand-md .navbar-nav .dropdown-menu{position:absolute}.navbar-expand-md .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand-md .navbar-nav-scroll{overflow:visible}.navbar-expand-md .navbar-collapse{display:flex !important;display:-webkit-flex !important;flex-basis:auto;-webkit-flex-basis:auto}.navbar-expand-md .navbar-toggler{display:none}.navbar-expand-md .offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:transparent !important;border:0 !important;transform:none !important;transition:none}.navbar-expand-md .offcanvas .offcanvas-header{display:none}.navbar-expand-md .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}}@media (min-width: 992px){.navbar-expand-lg{flex-wrap:nowrap;-webkit-flex-wrap:nowrap;justify-content:flex-start;-webkit-justify-content:flex-start}.navbar-expand-lg .navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand-lg .navbar-nav .dropdown-menu{position:absolute}.navbar-expand-lg .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand-lg .navbar-nav-scroll{overflow:visible}.navbar-expand-lg .navbar-collapse{display:flex !important;display:-webkit-flex !important;flex-basis:auto;-webkit-flex-basis:auto}.navbar-expand-lg .navbar-toggler{display:none}.navbar-expand-lg .offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:transparent !important;border:0 !important;transform:none !important;transition:none}.navbar-expand-lg .offcanvas .offcanvas-header{display:none}.navbar-expand-lg .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}}@media (min-width: 1200px){.navbar-expand-xl{flex-wrap:nowrap;-webkit-flex-wrap:nowrap;justify-content:flex-start;-webkit-justify-content:flex-start}.navbar-expand-xl .navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand-xl .navbar-nav .dropdown-menu{position:absolute}.navbar-expand-xl .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand-xl .navbar-nav-scroll{overflow:visible}.navbar-expand-xl .navbar-collapse{display:flex !important;display:-webkit-flex !important;flex-basis:auto;-webkit-flex-basis:auto}.navbar-expand-xl .navbar-toggler{display:none}.navbar-expand-xl .offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:transparent !important;border:0 !important;transform:none !important;transition:none}.navbar-expand-xl .offcanvas .offcanvas-header{display:none}.navbar-expand-xl .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}}@media (min-width: 1400px){.navbar-expand-xxl{flex-wrap:nowrap;-webkit-flex-wrap:nowrap;justify-content:flex-start;-webkit-justify-content:flex-start}.navbar-expand-xxl .navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand-xxl .navbar-nav .dropdown-menu{position:absolute}.navbar-expand-xxl .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand-xxl .navbar-nav-scroll{overflow:visible}.navbar-expand-xxl .navbar-collapse{display:flex !important;display:-webkit-flex !important;flex-basis:auto;-webkit-flex-basis:auto}.navbar-expand-xxl .navbar-toggler{display:none}.navbar-expand-xxl .offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:transparent !important;border:0 !important;transform:none !important;transition:none}.navbar-expand-xxl .offcanvas .offcanvas-header{display:none}.navbar-expand-xxl .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}}.navbar-expand{flex-wrap:nowrap;-webkit-flex-wrap:nowrap;justify-content:flex-start;-webkit-justify-content:flex-start}.navbar-expand .navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand .navbar-nav .dropdown-menu{position:absolute}.navbar-expand .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand .navbar-nav-scroll{overflow:visible}.navbar-expand .navbar-collapse{display:flex !important;display:-webkit-flex !important;flex-basis:auto;-webkit-flex-basis:auto}.navbar-expand .navbar-toggler{display:none}.navbar-expand .offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:transparent !important;border:0 !important;transform:none !important;transition:none}.navbar-expand .offcanvas .offcanvas-header{display:none}.navbar-expand .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}.navbar-dark,.navbar[data-bs-theme="dark"]{--bs-navbar-color: rgba(var(--bs-emphasis-color-rgb), 0.55);--bs-navbar-hover-color: rgba(var(--bs-emphasis-color-rgb), 0.75);--bs-navbar-disabled-color: rgba(var(--bs-emphasis-color-rgb), 0.25);--bs-navbar-active-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-brand-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-brand-hover-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-toggler-border-color: rgba(var(--bs-emphasis-color-rgb), 0.1);--bs-navbar-toggler-icon-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'%3e%3cpath stroke='rgba%28255,255,255,0.75%29' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/%3e%3c/svg%3e")}[data-bs-theme="dark"] .navbar-toggler-icon{--bs-navbar-toggler-icon-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'%3e%3cpath stroke='rgba%28255,255,255,0.75%29' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/%3e%3c/svg%3e")}.card{--bs-card-spacer-y: 1rem;--bs-card-spacer-x: 1rem;--bs-card-title-spacer-y: .5rem;--bs-card-title-color: ;--bs-card-subtitle-color: ;--bs-card-border-width: var(--bs-border-width);--bs-card-border-color: var(--bs-border-color-translucent);--bs-card-border-radius: var(--bs-border-radius);--bs-card-box-shadow: ;--bs-card-inner-border-radius: calc(var(--bs-border-radius) - (var(--bs-border-width)));--bs-card-cap-padding-y: .5rem;--bs-card-cap-padding-x: 1rem;--bs-card-cap-bg: rgba(var(--bs-body-color-rgb), 0.03);--bs-card-cap-color: ;--bs-card-height: ;--bs-card-color: ;--bs-card-bg: var(--bs-body-bg);--bs-card-img-overlay-padding: 1rem;--bs-card-group-margin: .75rem;position:relative;display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;min-width:0;height:var(--bs-card-height);color:var(--bs-body-color);word-wrap:break-word;background-color:var(--bs-card-bg);background-clip:border-box;border:var(--bs-card-border-width) solid var(--bs-card-border-color);border-radius:var(--bs-card-border-radius)}.card>hr{margin-right:0;margin-left:0}.card>.list-group{border-top:inherit;border-bottom:inherit}.card>.list-group:first-child{border-top-width:0;border-top-left-radius:var(--bs-card-inner-border-radius);border-top-right-radius:var(--bs-card-inner-border-radius)}.card>.list-group:last-child{border-bottom-width:0;border-bottom-right-radius:var(--bs-card-inner-border-radius);border-bottom-left-radius:var(--bs-card-inner-border-radius)}.card>.card-header+.list-group,.card>.list-group+.card-footer{border-top:0}.card-body{flex:1 1 auto;-webkit-flex:1 1 auto;padding:var(--bs-card-spacer-y) var(--bs-card-spacer-x);color:var(--bs-card-color)}.card-title{margin-bottom:var(--bs-card-title-spacer-y);color:var(--bs-card-title-color)}.card-subtitle{margin-top:calc(-.5 * var(--bs-card-title-spacer-y));margin-bottom:0;color:var(--bs-card-subtitle-color)}.card-text:last-child{margin-bottom:0}.card-link+.card-link{margin-left:var(--bs-card-spacer-x)}.card-header{padding:var(--bs-card-cap-padding-y) var(--bs-card-cap-padding-x);margin-bottom:0;color:var(--bs-card-cap-color);background-color:var(--bs-card-cap-bg);border-bottom:var(--bs-card-border-width) solid var(--bs-card-border-color)}.card-header:first-child{border-radius:var(--bs-card-inner-border-radius) var(--bs-card-inner-border-radius) 0 0}.card-footer{padding:var(--bs-card-cap-padding-y) var(--bs-card-cap-padding-x);color:var(--bs-card-cap-color);background-color:var(--bs-card-cap-bg);border-top:var(--bs-card-border-width) solid var(--bs-card-border-color)}.card-footer:last-child{border-radius:0 0 var(--bs-card-inner-border-radius) var(--bs-card-inner-border-radius)}.card-header-tabs{margin-right:calc(-.5 * var(--bs-card-cap-padding-x));margin-bottom:calc(-1 * var(--bs-card-cap-padding-y));margin-left:calc(-.5 * var(--bs-card-cap-padding-x));border-bottom:0}.card-header-tabs .nav-link.active{background-color:var(--bs-card-bg);border-bottom-color:var(--bs-card-bg)}.card-header-pills{margin-right:calc(-.5 * var(--bs-card-cap-padding-x));margin-left:calc(-.5 * var(--bs-card-cap-padding-x))}.card-img-overlay{position:absolute;top:0;right:0;bottom:0;left:0;padding:var(--bs-card-img-overlay-padding);border-radius:var(--bs-card-inner-border-radius)}.card-img,.card-img-top,.card-img-bottom{width:100%}.card-img,.card-img-top{border-top-left-radius:var(--bs-card-inner-border-radius);border-top-right-radius:var(--bs-card-inner-border-radius)}.card-img,.card-img-bottom{border-bottom-right-radius:var(--bs-card-inner-border-radius);border-bottom-left-radius:var(--bs-card-inner-border-radius)}.card-group>.card{margin-bottom:var(--bs-card-group-margin)}@media (min-width: 576px){.card-group{display:flex;display:-webkit-flex;flex-flow:row wrap;-webkit-flex-flow:row wrap}.card-group>.card{flex:1 0 0%;-webkit-flex:1 0 0%;margin-bottom:0}.card-group>.card+.card{margin-left:0;border-left:0}.card-group>.card:not(:last-child){border-top-right-radius:0;border-bottom-right-radius:0}.card-group>.card:not(:last-child) .card-img-top,.card-group>.card:not(:last-child) .card-header{border-top-right-radius:0}.card-group>.card:not(:last-child) .card-img-bottom,.card-group>.card:not(:last-child) .card-footer{border-bottom-right-radius:0}.card-group>.card:not(:first-child){border-top-left-radius:0;border-bottom-left-radius:0}.card-group>.card:not(:first-child) .card-img-top,.card-group>.card:not(:first-child) .card-header{border-top-left-radius:0}.card-group>.card:not(:first-child) .card-img-bottom,.card-group>.card:not(:first-child) .card-footer{border-bottom-left-radius:0}}.accordion{--bs-accordion-color: var(--bs-body-color);--bs-accordion-bg: var(--bs-body-bg);--bs-accordion-transition: color 0.15s ease-in-out,background-color 0.15s ease-in-out,border-color 0.15s ease-in-out,box-shadow 0.15s ease-in-out,border-radius 0.15s ease;--bs-accordion-border-color: var(--bs-border-color);--bs-accordion-border-width: var(--bs-border-width);--bs-accordion-border-radius: var(--bs-border-radius);--bs-accordion-inner-border-radius: calc(var(--bs-border-radius) - (var(--bs-border-width)));--bs-accordion-btn-padding-x: 1.25rem;--bs-accordion-btn-padding-y: 1rem;--bs-accordion-btn-color: var(--bs-body-color);--bs-accordion-btn-bg: var(--bs-accordion-bg);--bs-accordion-btn-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23212529'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e");--bs-accordion-btn-icon-width: 1.25rem;--bs-accordion-btn-icon-transform: rotate(-180deg);--bs-accordion-btn-icon-transition: transform 0.2s ease-in-out;--bs-accordion-btn-active-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23052c65'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e");--bs-accordion-btn-focus-border-color: #86b7fe;--bs-accordion-btn-focus-box-shadow: 0 0 0 .25rem rgba(13,110,253,0.25);--bs-accordion-body-padding-x: 1.25rem;--bs-accordion-body-padding-y: 1rem;--bs-accordion-active-color: var(--bs-primary-text-emphasis);--bs-accordion-active-bg: var(--bs-primary-bg-subtle)}.accordion-button{position:relative;display:flex;display:-webkit-flex;align-items:center;-webkit-align-items:center;width:100%;padding:var(--bs-accordion-btn-padding-y) var(--bs-accordion-btn-padding-x);font-size:1rem;color:var(--bs-accordion-btn-color);text-align:left;background-color:var(--bs-accordion-btn-bg);border:0;border-radius:0;overflow-anchor:none;transition:var(--bs-accordion-transition)}@media (prefers-reduced-motion: reduce){.accordion-button{transition:none}}.accordion-button:not(.collapsed){color:var(--bs-accordion-active-color);background-color:var(--bs-accordion-active-bg);box-shadow:inset 0 calc(-1 * var(--bs-accordion-border-width)) 0 var(--bs-accordion-border-color)}.accordion-button:not(.collapsed)::after{background-image:var(--bs-accordion-btn-active-icon);transform:var(--bs-accordion-btn-icon-transform)}.accordion-button::after{flex-shrink:0;-webkit-flex-shrink:0;width:var(--bs-accordion-btn-icon-width);height:var(--bs-accordion-btn-icon-width);margin-left:auto;content:"";background-image:var(--bs-accordion-btn-icon);background-repeat:no-repeat;background-size:var(--bs-accordion-btn-icon-width);transition:var(--bs-accordion-btn-icon-transition)}@media (prefers-reduced-motion: reduce){.accordion-button::after{transition:none}}.accordion-button:hover{z-index:2}.accordion-button:focus{z-index:3;border-color:var(--bs-accordion-btn-focus-border-color);outline:0;box-shadow:var(--bs-accordion-btn-focus-box-shadow)}.accordion-header{margin-bottom:0}.accordion-item{color:var(--bs-accordion-color);background-color:var(--bs-accordion-bg);border:var(--bs-accordion-border-width) solid var(--bs-accordion-border-color)}.accordion-item:first-of-type{border-top-left-radius:var(--bs-accordion-border-radius);border-top-right-radius:var(--bs-accordion-border-radius)}.accordion-item:first-of-type .accordion-button{border-top-left-radius:var(--bs-accordion-inner-border-radius);border-top-right-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:not(:first-of-type){border-top:0}.accordion-item:last-of-type{border-bottom-right-radius:var(--bs-accordion-border-radius);border-bottom-left-radius:var(--bs-accordion-border-radius)}.accordion-item:last-of-type .accordion-button.collapsed{border-bottom-right-radius:var(--bs-accordion-inner-border-radius);border-bottom-left-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:last-of-type .accordion-collapse{border-bottom-right-radius:var(--bs-accordion-border-radius);border-bottom-left-radius:var(--bs-accordion-border-radius)}.accordion-body{padding:var(--bs-accordion-body-padding-y) var(--bs-accordion-body-padding-x)}.accordion-flush .accordion-collapse{border-width:0}.accordion-flush .accordion-item{border-right:0;border-left:0;border-radius:0}.accordion-flush .accordion-item:first-child{border-top:0}.accordion-flush .accordion-item:last-child{border-bottom:0}.accordion-flush .accordion-item .accordion-button,.accordion-flush .accordion-item .accordion-button.collapsed{border-radius:0}[data-bs-theme="dark"] .accordion-button::after{--bs-accordion-btn-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%236ea8fe'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e");--bs-accordion-btn-active-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%236ea8fe'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e")}.breadcrumb{--bs-breadcrumb-padding-x: 0;--bs-breadcrumb-padding-y: 0;--bs-breadcrumb-margin-bottom: 1rem;--bs-breadcrumb-bg: ;--bs-breadcrumb-border-radius: ;--bs-breadcrumb-divider-color: var(--bs-secondary-color);--bs-breadcrumb-item-padding-x: .5rem;--bs-breadcrumb-item-active-color: var(--bs-secondary-color);display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;padding:var(--bs-breadcrumb-padding-y) var(--bs-breadcrumb-padding-x);margin-bottom:var(--bs-breadcrumb-margin-bottom);font-size:var(--bs-breadcrumb-font-size);list-style:none;background-color:var(--bs-breadcrumb-bg);border-radius:var(--bs-breadcrumb-border-radius)}.breadcrumb-item+.breadcrumb-item{padding-left:var(--bs-breadcrumb-item-padding-x)}.breadcrumb-item+.breadcrumb-item::before{float:left;padding-right:var(--bs-breadcrumb-item-padding-x);color:var(--bs-breadcrumb-divider-color);content:var(--bs-breadcrumb-divider, "/") /* rtl: var(--bs-breadcrumb-divider, "/") */}.breadcrumb-item.active{color:var(--bs-breadcrumb-item-active-color)}.pagination{--bs-pagination-padding-x: .75rem;--bs-pagination-padding-y: .375rem;--bs-pagination-font-size:1rem;--bs-pagination-color: var(--bs-link-color);--bs-pagination-bg: var(--bs-body-bg);--bs-pagination-border-width: var(--bs-border-width);--bs-pagination-border-color: var(--bs-border-color);--bs-pagination-border-radius: var(--bs-border-radius);--bs-pagination-hover-color: var(--bs-link-hover-color);--bs-pagination-hover-bg: var(--bs-tertiary-bg);--bs-pagination-hover-border-color: var(--bs-border-color);--bs-pagination-focus-color: var(--bs-link-hover-color);--bs-pagination-focus-bg: var(--bs-secondary-bg);--bs-pagination-focus-box-shadow: 0 0 0 .25rem rgba(13,110,253,0.25);--bs-pagination-active-color: #fff;--bs-pagination-active-bg: #0d6efd;--bs-pagination-active-border-color: #0d6efd;--bs-pagination-disabled-color: var(--bs-secondary-color);--bs-pagination-disabled-bg: var(--bs-secondary-bg);--bs-pagination-disabled-border-color: var(--bs-border-color);display:flex;display:-webkit-flex;padding-left:0;list-style:none}.page-link{position:relative;display:block;padding:var(--bs-pagination-padding-y) var(--bs-pagination-padding-x);font-size:var(--bs-pagination-font-size);color:var(--bs-pagination-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background-color:var(--bs-pagination-bg);border:var(--bs-pagination-border-width) solid var(--bs-pagination-border-color);transition:color 0.15s ease-in-out,background-color 0.15s ease-in-out,border-color 0.15s ease-in-out,box-shadow 0.15s ease-in-out}@media (prefers-reduced-motion: reduce){.page-link{transition:none}}.page-link:hover{z-index:2;color:var(--bs-pagination-hover-color);background-color:var(--bs-pagination-hover-bg);border-color:var(--bs-pagination-hover-border-color)}.page-link:focus{z-index:3;color:var(--bs-pagination-focus-color);background-color:var(--bs-pagination-focus-bg);outline:0;box-shadow:var(--bs-pagination-focus-box-shadow)}.page-link.active,.active>.page-link{z-index:3;color:var(--bs-pagination-active-color);background-color:var(--bs-pagination-active-bg);border-color:var(--bs-pagination-active-border-color)}.page-link.disabled,.disabled>.page-link{color:var(--bs-pagination-disabled-color);pointer-events:none;background-color:var(--bs-pagination-disabled-bg);border-color:var(--bs-pagination-disabled-border-color)}.page-item:not(:first-child) .page-link{margin-left:calc(var(--bs-border-width) * -1)}.page-item:first-child .page-link{border-top-left-radius:var(--bs-pagination-border-radius);border-bottom-left-radius:var(--bs-pagination-border-radius)}.page-item:last-child .page-link{border-top-right-radius:var(--bs-pagination-border-radius);border-bottom-right-radius:var(--bs-pagination-border-radius)}.pagination-lg{--bs-pagination-padding-x: 1.5rem;--bs-pagination-padding-y: .75rem;--bs-pagination-font-size:1.25rem;--bs-pagination-border-radius: var(--bs-border-radius-lg)}.pagination-sm{--bs-pagination-padding-x: .5rem;--bs-pagination-padding-y: .25rem;--bs-pagination-font-size:.875rem;--bs-pagination-border-radius: var(--bs-border-radius-sm)}.badge{--bs-badge-padding-x: .65em;--bs-badge-padding-y: .35em;--bs-badge-font-size:.75em;--bs-badge-font-weight: 700;--bs-badge-color: #fff;--bs-badge-border-radius: var(--bs-border-radius);display:inline-block;padding:var(--bs-badge-padding-y) var(--bs-badge-padding-x);font-size:var(--bs-badge-font-size);font-weight:var(--bs-badge-font-weight);line-height:1;color:var(--bs-badge-color);text-align:center;white-space:nowrap;vertical-align:baseline;border-radius:var(--bs-badge-border-radius)}.badge:empty{display:none}.btn .badge{position:relative;top:-1px}.alert{--bs-alert-bg: transparent;--bs-alert-padding-x: 1rem;--bs-alert-padding-y: 1rem;--bs-alert-margin-bottom: 1rem;--bs-alert-color: inherit;--bs-alert-border-color: transparent;--bs-alert-border: var(--bs-border-width) solid var(--bs-alert-border-color);--bs-alert-border-radius: var(--bs-border-radius);--bs-alert-link-color: inherit;position:relative;padding:var(--bs-alert-padding-y) var(--bs-alert-padding-x);margin-bottom:var(--bs-alert-margin-bottom);color:var(--bs-alert-color);background-color:var(--bs-alert-bg);border:var(--bs-alert-border);border-radius:var(--bs-alert-border-radius)}.alert-heading{color:inherit}.alert-link{font-weight:700;color:var(--bs-alert-link-color)}.alert-dismissible{padding-right:3rem}.alert-dismissible .btn-close{position:absolute;top:0;right:0;z-index:2;padding:1.25rem 1rem}.alert-default{--bs-alert-color: var(--bs-default-text-emphasis);--bs-alert-bg: var(--bs-default-bg-subtle);--bs-alert-border-color: var(--bs-default-border-subtle);--bs-alert-link-color: var(--bs-default-text-emphasis)}.alert-primary{--bs-alert-color: var(--bs-primary-text-emphasis);--bs-alert-bg: var(--bs-primary-bg-subtle);--bs-alert-border-color: var(--bs-primary-border-subtle);--bs-alert-link-color: var(--bs-primary-text-emphasis)}.alert-secondary{--bs-alert-color: var(--bs-secondary-text-emphasis);--bs-alert-bg: var(--bs-secondary-bg-subtle);--bs-alert-border-color: var(--bs-secondary-border-subtle);--bs-alert-link-color: var(--bs-secondary-text-emphasis)}.alert-success{--bs-alert-color: var(--bs-success-text-emphasis);--bs-alert-bg: var(--bs-success-bg-subtle);--bs-alert-border-color: var(--bs-success-border-subtle);--bs-alert-link-color: var(--bs-success-text-emphasis)}.alert-info{--bs-alert-color: var(--bs-info-text-emphasis);--bs-alert-bg: var(--bs-info-bg-subtle);--bs-alert-border-color: var(--bs-info-border-subtle);--bs-alert-link-color: var(--bs-info-text-emphasis)}.alert-warning{--bs-alert-color: var(--bs-warning-text-emphasis);--bs-alert-bg: var(--bs-warning-bg-subtle);--bs-alert-border-color: var(--bs-warning-border-subtle);--bs-alert-link-color: var(--bs-warning-text-emphasis)}.alert-danger{--bs-alert-color: var(--bs-danger-text-emphasis);--bs-alert-bg: var(--bs-danger-bg-subtle);--bs-alert-border-color: var(--bs-danger-border-subtle);--bs-alert-link-color: var(--bs-danger-text-emphasis)}.alert-light{--bs-alert-color: var(--bs-light-text-emphasis);--bs-alert-bg: var(--bs-light-bg-subtle);--bs-alert-border-color: var(--bs-light-border-subtle);--bs-alert-link-color: var(--bs-light-text-emphasis)}.alert-dark{--bs-alert-color: var(--bs-dark-text-emphasis);--bs-alert-bg: var(--bs-dark-bg-subtle);--bs-alert-border-color: var(--bs-dark-border-subtle);--bs-alert-link-color: var(--bs-dark-text-emphasis)}@keyframes progress-bar-stripes{0%{background-position-x:1rem}}.progress,.progress-stacked{--bs-progress-height: 1rem;--bs-progress-font-size:.75rem;--bs-progress-bg: var(--bs-secondary-bg);--bs-progress-border-radius: var(--bs-border-radius);--bs-progress-box-shadow: var(--bs-box-shadow-inset);--bs-progress-bar-color: #fff;--bs-progress-bar-bg: #0d6efd;--bs-progress-bar-transition: width 0.6s ease;display:flex;display:-webkit-flex;height:var(--bs-progress-height);overflow:hidden;font-size:var(--bs-progress-font-size);background-color:var(--bs-progress-bg);border-radius:var(--bs-progress-border-radius)}.progress-bar{display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;justify-content:center;-webkit-justify-content:center;overflow:hidden;color:var(--bs-progress-bar-color);text-align:center;white-space:nowrap;background-color:var(--bs-progress-bar-bg);transition:var(--bs-progress-bar-transition)}@media (prefers-reduced-motion: reduce){.progress-bar{transition:none}}.progress-bar-striped{background-image:linear-gradient(45deg, rgba(255,255,255,0.15) 25%, transparent 25%, transparent 50%, rgba(255,255,255,0.15) 50%, rgba(255,255,255,0.15) 75%, transparent 75%, transparent);background-size:var(--bs-progress-height) var(--bs-progress-height)}.progress-stacked>.progress{overflow:visible}.progress-stacked>.progress>.progress-bar{width:100%}.progress-bar-animated{animation:1s linear infinite progress-bar-stripes}@media (prefers-reduced-motion: reduce){.progress-bar-animated{animation:none}}.list-group{--bs-list-group-color: var(--bs-body-color);--bs-list-group-bg: var(--bs-body-bg);--bs-list-group-border-color: var(--bs-border-color);--bs-list-group-border-width: var(--bs-border-width);--bs-list-group-border-radius: var(--bs-border-radius);--bs-list-group-item-padding-x: 1rem;--bs-list-group-item-padding-y: .5rem;--bs-list-group-action-color: var(--bs-secondary-color);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-tertiary-bg);--bs-list-group-action-active-color: var(--bs-body-color);--bs-list-group-action-active-bg: var(--bs-secondary-bg);--bs-list-group-disabled-color: var(--bs-secondary-color);--bs-list-group-disabled-bg: var(--bs-body-bg);--bs-list-group-active-color: #fff;--bs-list-group-active-bg: #0d6efd;--bs-list-group-active-border-color: #0d6efd;display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;padding-left:0;margin-bottom:0;border-radius:var(--bs-list-group-border-radius)}.list-group-numbered{list-style-type:none;counter-reset:section}.list-group-numbered>.list-group-item::before{content:counters(section, ".") ". ";counter-increment:section}.list-group-item-action{width:100%;color:var(--bs-list-group-action-color);text-align:inherit}.list-group-item-action:hover,.list-group-item-action:focus{z-index:1;color:var(--bs-list-group-action-hover-color);text-decoration:none;background-color:var(--bs-list-group-action-hover-bg)}.list-group-item-action:active{color:var(--bs-list-group-action-active-color);background-color:var(--bs-list-group-action-active-bg)}.list-group-item{position:relative;display:block;padding:var(--bs-list-group-item-padding-y) var(--bs-list-group-item-padding-x);color:var(--bs-list-group-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background-color:var(--bs-list-group-bg);border:var(--bs-list-group-border-width) solid var(--bs-list-group-border-color)}.list-group-item:first-child{border-top-left-radius:inherit;border-top-right-radius:inherit}.list-group-item:last-child{border-bottom-right-radius:inherit;border-bottom-left-radius:inherit}.list-group-item.disabled,.list-group-item:disabled{color:var(--bs-list-group-disabled-color);pointer-events:none;background-color:var(--bs-list-group-disabled-bg)}.list-group-item.active{z-index:2;color:var(--bs-list-group-active-color);background-color:var(--bs-list-group-active-bg);border-color:var(--bs-list-group-active-border-color)}.list-group-item+.list-group-item{border-top-width:0}.list-group-item+.list-group-item.active{margin-top:calc(-1 * var(--bs-list-group-border-width));border-top-width:var(--bs-list-group-border-width)}.list-group-horizontal{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal>.list-group-item.active{margin-top:0}.list-group-horizontal>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}@media (min-width: 576px){.list-group-horizontal-sm{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-sm>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-sm>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-sm>.list-group-item.active{margin-top:0}.list-group-horizontal-sm>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-sm>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 768px){.list-group-horizontal-md{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-md>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-md>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-md>.list-group-item.active{margin-top:0}.list-group-horizontal-md>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-md>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 992px){.list-group-horizontal-lg{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-lg>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-lg>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-lg>.list-group-item.active{margin-top:0}.list-group-horizontal-lg>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-lg>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 1200px){.list-group-horizontal-xl{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-xl>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-xl>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-xl>.list-group-item.active{margin-top:0}.list-group-horizontal-xl>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-xl>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 1400px){.list-group-horizontal-xxl{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-xxl>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-xxl>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-xxl>.list-group-item.active{margin-top:0}.list-group-horizontal-xxl>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-xxl>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}.list-group-flush{border-radius:0}.list-group-flush>.list-group-item{border-width:0 0 var(--bs-list-group-border-width)}.list-group-flush>.list-group-item:last-child{border-bottom-width:0}.list-group-item-default{--bs-list-group-color: var(--bs-default-text-emphasis);--bs-list-group-bg: var(--bs-default-bg-subtle);--bs-list-group-border-color: var(--bs-default-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-default-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-default-border-subtle);--bs-list-group-active-color: var(--bs-default-bg-subtle);--bs-list-group-active-bg: var(--bs-default-text-emphasis);--bs-list-group-active-border-color: var(--bs-default-text-emphasis)}.list-group-item-primary{--bs-list-group-color: var(--bs-primary-text-emphasis);--bs-list-group-bg: var(--bs-primary-bg-subtle);--bs-list-group-border-color: var(--bs-primary-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-primary-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-primary-border-subtle);--bs-list-group-active-color: var(--bs-primary-bg-subtle);--bs-list-group-active-bg: var(--bs-primary-text-emphasis);--bs-list-group-active-border-color: var(--bs-primary-text-emphasis)}.list-group-item-secondary{--bs-list-group-color: var(--bs-secondary-text-emphasis);--bs-list-group-bg: var(--bs-secondary-bg-subtle);--bs-list-group-border-color: var(--bs-secondary-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-secondary-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-secondary-border-subtle);--bs-list-group-active-color: var(--bs-secondary-bg-subtle);--bs-list-group-active-bg: var(--bs-secondary-text-emphasis);--bs-list-group-active-border-color: var(--bs-secondary-text-emphasis)}.list-group-item-success{--bs-list-group-color: var(--bs-success-text-emphasis);--bs-list-group-bg: var(--bs-success-bg-subtle);--bs-list-group-border-color: var(--bs-success-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-success-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-success-border-subtle);--bs-list-group-active-color: var(--bs-success-bg-subtle);--bs-list-group-active-bg: var(--bs-success-text-emphasis);--bs-list-group-active-border-color: var(--bs-success-text-emphasis)}.list-group-item-info{--bs-list-group-color: var(--bs-info-text-emphasis);--bs-list-group-bg: var(--bs-info-bg-subtle);--bs-list-group-border-color: var(--bs-info-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-info-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-info-border-subtle);--bs-list-group-active-color: var(--bs-info-bg-subtle);--bs-list-group-active-bg: var(--bs-info-text-emphasis);--bs-list-group-active-border-color: var(--bs-info-text-emphasis)}.list-group-item-warning{--bs-list-group-color: var(--bs-warning-text-emphasis);--bs-list-group-bg: var(--bs-warning-bg-subtle);--bs-list-group-border-color: var(--bs-warning-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-warning-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-warning-border-subtle);--bs-list-group-active-color: var(--bs-warning-bg-subtle);--bs-list-group-active-bg: var(--bs-warning-text-emphasis);--bs-list-group-active-border-color: var(--bs-warning-text-emphasis)}.list-group-item-danger{--bs-list-group-color: var(--bs-danger-text-emphasis);--bs-list-group-bg: var(--bs-danger-bg-subtle);--bs-list-group-border-color: var(--bs-danger-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-danger-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-danger-border-subtle);--bs-list-group-active-color: var(--bs-danger-bg-subtle);--bs-list-group-active-bg: var(--bs-danger-text-emphasis);--bs-list-group-active-border-color: var(--bs-danger-text-emphasis)}.list-group-item-light{--bs-list-group-color: var(--bs-light-text-emphasis);--bs-list-group-bg: var(--bs-light-bg-subtle);--bs-list-group-border-color: var(--bs-light-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-light-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-light-border-subtle);--bs-list-group-active-color: var(--bs-light-bg-subtle);--bs-list-group-active-bg: var(--bs-light-text-emphasis);--bs-list-group-active-border-color: var(--bs-light-text-emphasis)}.list-group-item-dark{--bs-list-group-color: var(--bs-dark-text-emphasis);--bs-list-group-bg: var(--bs-dark-bg-subtle);--bs-list-group-border-color: var(--bs-dark-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-dark-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-dark-border-subtle);--bs-list-group-active-color: var(--bs-dark-bg-subtle);--bs-list-group-active-bg: var(--bs-dark-text-emphasis);--bs-list-group-active-border-color: var(--bs-dark-text-emphasis)}.btn-close{--bs-btn-close-color: #000;--bs-btn-close-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23000'%3e%3cpath d='M.293.293a1 1 0 0 1 1.414 0L8 6.586 14.293.293a1 1 0 1 1 1.414 1.414L9.414 8l6.293 6.293a1 1 0 0 1-1.414 1.414L8 9.414l-6.293 6.293a1 1 0 0 1-1.414-1.414L6.586 8 .293 1.707a1 1 0 0 1 0-1.414z'/%3e%3c/svg%3e");--bs-btn-close-opacity: .5;--bs-btn-close-hover-opacity: .75;--bs-btn-close-focus-shadow: 0 0 0 .25rem rgba(13,110,253,0.25);--bs-btn-close-focus-opacity: 1;--bs-btn-close-disabled-opacity: .25;--bs-btn-close-white-filter: invert(1) grayscale(100%) brightness(200%);box-sizing:content-box;width:1em;height:1em;padding:.25em .25em;color:var(--bs-btn-close-color);background:transparent var(--bs-btn-close-bg) center/1em auto no-repeat;border:0;border-radius:.375rem;opacity:var(--bs-btn-close-opacity)}.btn-close:hover{color:var(--bs-btn-close-color);text-decoration:none;opacity:var(--bs-btn-close-hover-opacity)}.btn-close:focus{outline:0;box-shadow:var(--bs-btn-close-focus-shadow);opacity:var(--bs-btn-close-focus-opacity)}.btn-close:disabled,.btn-close.disabled{pointer-events:none;user-select:none;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;-o-user-select:none;opacity:var(--bs-btn-close-disabled-opacity)}.btn-close-white{filter:var(--bs-btn-close-white-filter)}[data-bs-theme="dark"] .btn-close{filter:var(--bs-btn-close-white-filter)}.toast{--bs-toast-zindex: 1090;--bs-toast-padding-x: .75rem;--bs-toast-padding-y: .5rem;--bs-toast-spacing: 1.5rem;--bs-toast-max-width: 350px;--bs-toast-font-size:.875rem;--bs-toast-color: ;--bs-toast-bg: rgba(var(--bs-body-bg-rgb), 0.85);--bs-toast-border-width: var(--bs-border-width);--bs-toast-border-color: var(--bs-border-color-translucent);--bs-toast-border-radius: var(--bs-border-radius);--bs-toast-box-shadow: var(--bs-box-shadow);--bs-toast-header-color: var(--bs-secondary-color);--bs-toast-header-bg: rgba(var(--bs-body-bg-rgb), 0.85);--bs-toast-header-border-color: var(--bs-border-color-translucent);width:var(--bs-toast-max-width);max-width:100%;font-size:var(--bs-toast-font-size);color:var(--bs-toast-color);pointer-events:auto;background-color:var(--bs-toast-bg);background-clip:padding-box;border:var(--bs-toast-border-width) solid var(--bs-toast-border-color);box-shadow:var(--bs-toast-box-shadow);border-radius:var(--bs-toast-border-radius)}.toast.showing{opacity:0}.toast:not(.show){display:none}.toast-container{--bs-toast-zindex: 1090;position:absolute;z-index:var(--bs-toast-zindex);width:max-content;width:-webkit-max-content;width:-moz-max-content;width:-ms-max-content;width:-o-max-content;max-width:100%;pointer-events:none}.toast-container>:not(:last-child){margin-bottom:var(--bs-toast-spacing)}.toast-header{display:flex;display:-webkit-flex;align-items:center;-webkit-align-items:center;padding:var(--bs-toast-padding-y) var(--bs-toast-padding-x);color:var(--bs-toast-header-color);background-color:var(--bs-toast-header-bg);background-clip:padding-box;border-bottom:var(--bs-toast-border-width) solid var(--bs-toast-header-border-color);border-top-left-radius:calc(var(--bs-toast-border-radius) - var(--bs-toast-border-width));border-top-right-radius:calc(var(--bs-toast-border-radius) - var(--bs-toast-border-width))}.toast-header .btn-close{margin-right:calc(-.5 * var(--bs-toast-padding-x));margin-left:var(--bs-toast-padding-x)}.toast-body{padding:var(--bs-toast-padding-x);word-wrap:break-word}.modal{--bs-modal-zindex: 1055;--bs-modal-width: 500px;--bs-modal-padding: 1rem;--bs-modal-margin: .5rem;--bs-modal-color: ;--bs-modal-bg: var(--bs-body-bg);--bs-modal-border-color: var(--bs-border-color-translucent);--bs-modal-border-width: var(--bs-border-width);--bs-modal-border-radius: var(--bs-border-radius-lg);--bs-modal-box-shadow: 0 0.125rem 0.25rem rgba(0,0,0,0.075);--bs-modal-inner-border-radius: calc(var(--bs-border-radius-lg) - (var(--bs-border-width)));--bs-modal-header-padding-x: 1rem;--bs-modal-header-padding-y: 1rem;--bs-modal-header-padding: 1rem 1rem;--bs-modal-header-border-color: var(--bs-border-color);--bs-modal-header-border-width: var(--bs-border-width);--bs-modal-title-line-height: 1.5;--bs-modal-footer-gap: .5rem;--bs-modal-footer-bg: ;--bs-modal-footer-border-color: var(--bs-border-color);--bs-modal-footer-border-width: var(--bs-border-width);position:fixed;top:0;left:0;z-index:var(--bs-modal-zindex);display:none;width:100%;height:100%;overflow-x:hidden;overflow-y:auto;outline:0}.modal-dialog{position:relative;width:auto;margin:var(--bs-modal-margin);pointer-events:none}.modal.fade .modal-dialog{transition:transform 0.3s ease-out;transform:translate(0, -50px)}@media (prefers-reduced-motion: reduce){.modal.fade .modal-dialog{transition:none}}.modal.show .modal-dialog{transform:none}.modal.modal-static .modal-dialog{transform:scale(1.02)}.modal-dialog-scrollable{height:calc(100% - var(--bs-modal-margin) * 2)}.modal-dialog-scrollable .modal-content{max-height:100%;overflow:hidden}.modal-dialog-scrollable .modal-body{overflow-y:auto}.modal-dialog-centered{display:flex;display:-webkit-flex;align-items:center;-webkit-align-items:center;min-height:calc(100% - var(--bs-modal-margin) * 2)}.modal-content{position:relative;display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;width:100%;color:var(--bs-modal-color);pointer-events:auto;background-color:var(--bs-modal-bg);background-clip:padding-box;border:var(--bs-modal-border-width) solid var(--bs-modal-border-color);border-radius:var(--bs-modal-border-radius);outline:0}.modal-backdrop{--bs-backdrop-zindex: 1050;--bs-backdrop-bg: #000;--bs-backdrop-opacity: .5;position:fixed;top:0;left:0;z-index:var(--bs-backdrop-zindex);width:100vw;height:100vh;background-color:var(--bs-backdrop-bg)}.modal-backdrop.fade{opacity:0}.modal-backdrop.show{opacity:var(--bs-backdrop-opacity)}.modal-header{display:flex;display:-webkit-flex;flex-shrink:0;-webkit-flex-shrink:0;align-items:center;-webkit-align-items:center;justify-content:space-between;-webkit-justify-content:space-between;padding:var(--bs-modal-header-padding);border-bottom:var(--bs-modal-header-border-width) solid var(--bs-modal-header-border-color);border-top-left-radius:var(--bs-modal-inner-border-radius);border-top-right-radius:var(--bs-modal-inner-border-radius)}.modal-header .btn-close{padding:calc(var(--bs-modal-header-padding-y) * .5) calc(var(--bs-modal-header-padding-x) * .5);margin:calc(-.5 * var(--bs-modal-header-padding-y)) calc(-.5 * var(--bs-modal-header-padding-x)) calc(-.5 * var(--bs-modal-header-padding-y)) auto}.modal-title{margin-bottom:0;line-height:var(--bs-modal-title-line-height)}.modal-body{position:relative;flex:1 1 auto;-webkit-flex:1 1 auto;padding:var(--bs-modal-padding)}.modal-footer{display:flex;display:-webkit-flex;flex-shrink:0;-webkit-flex-shrink:0;flex-wrap:wrap;-webkit-flex-wrap:wrap;align-items:center;-webkit-align-items:center;justify-content:flex-end;-webkit-justify-content:flex-end;padding:calc(var(--bs-modal-padding) - var(--bs-modal-footer-gap) * .5);background-color:var(--bs-modal-footer-bg);border-top:var(--bs-modal-footer-border-width) solid var(--bs-modal-footer-border-color);border-bottom-right-radius:var(--bs-modal-inner-border-radius);border-bottom-left-radius:var(--bs-modal-inner-border-radius)}.modal-footer>*{margin:calc(var(--bs-modal-footer-gap) * .5)}@media (min-width: 576px){.modal{--bs-modal-margin: 1.75rem;--bs-modal-box-shadow: 0 0.5rem 1rem rgba(0,0,0,0.15)}.modal-dialog{max-width:var(--bs-modal-width);margin-right:auto;margin-left:auto}.modal-sm{--bs-modal-width: 300px}}@media (min-width: 992px){.modal-lg,.modal-xl{--bs-modal-width: 800px}}@media (min-width: 1200px){.modal-xl{--bs-modal-width: 1140px}}.modal-fullscreen{width:100vw;max-width:none;height:100%;margin:0}.modal-fullscreen .modal-content{height:100%;border:0;border-radius:0}.modal-fullscreen .modal-header,.modal-fullscreen .modal-footer{border-radius:0}.modal-fullscreen .modal-body{overflow-y:auto}@media (max-width: 575.98px){.modal-fullscreen-sm-down{width:100vw;max-width:none;height:100%;margin:0}.modal-fullscreen-sm-down .modal-content{height:100%;border:0;border-radius:0}.modal-fullscreen-sm-down .modal-header,.modal-fullscreen-sm-down .modal-footer{border-radius:0}.modal-fullscreen-sm-down .modal-body{overflow-y:auto}}@media (max-width: 767.98px){.modal-fullscreen-md-down{width:100vw;max-width:none;height:100%;margin:0}.modal-fullscreen-md-down .modal-content{height:100%;border:0;border-radius:0}.modal-fullscreen-md-down .modal-header,.modal-fullscreen-md-down .modal-footer{border-radius:0}.modal-fullscreen-md-down .modal-body{overflow-y:auto}}@media (max-width: 991.98px){.modal-fullscreen-lg-down{width:100vw;max-width:none;height:100%;margin:0}.modal-fullscreen-lg-down .modal-content{height:100%;border:0;border-radius:0}.modal-fullscreen-lg-down .modal-header,.modal-fullscreen-lg-down .modal-footer{border-radius:0}.modal-fullscreen-lg-down .modal-body{overflow-y:auto}}@media (max-width: 1199.98px){.modal-fullscreen-xl-down{width:100vw;max-width:none;height:100%;margin:0}.modal-fullscreen-xl-down .modal-content{height:100%;border:0;border-radius:0}.modal-fullscreen-xl-down .modal-header,.modal-fullscreen-xl-down .modal-footer{border-radius:0}.modal-fullscreen-xl-down .modal-body{overflow-y:auto}}@media (max-width: 1399.98px){.modal-fullscreen-xxl-down{width:100vw;max-width:none;height:100%;margin:0}.modal-fullscreen-xxl-down .modal-content{height:100%;border:0;border-radius:0}.modal-fullscreen-xxl-down .modal-header,.modal-fullscreen-xxl-down .modal-footer{border-radius:0}.modal-fullscreen-xxl-down .modal-body{overflow-y:auto}}.tooltip{--bs-tooltip-zindex: 1080;--bs-tooltip-max-width: 200px;--bs-tooltip-padding-x: .5rem;--bs-tooltip-padding-y: .25rem;--bs-tooltip-margin: ;--bs-tooltip-font-size:.875rem;--bs-tooltip-color: var(--bs-body-bg);--bs-tooltip-bg: var(--bs-emphasis-color);--bs-tooltip-border-radius: var(--bs-border-radius);--bs-tooltip-opacity: .9;--bs-tooltip-arrow-width: .8rem;--bs-tooltip-arrow-height: .4rem;z-index:var(--bs-tooltip-zindex);display:block;margin:var(--bs-tooltip-margin);font-family:var(--bs-font-sans-serif);font-style:normal;font-weight:400;line-height:1.5;text-align:left;text-align:start;text-decoration:none;text-shadow:none;text-transform:none;letter-spacing:normal;word-break:normal;white-space:normal;word-spacing:normal;line-break:auto;font-size:var(--bs-tooltip-font-size);word-wrap:break-word;opacity:0}.tooltip.show{opacity:var(--bs-tooltip-opacity)}.tooltip .tooltip-arrow{display:block;width:var(--bs-tooltip-arrow-width);height:var(--bs-tooltip-arrow-height)}.tooltip .tooltip-arrow::before{position:absolute;content:"";border-color:transparent;border-style:solid}.bs-tooltip-top .tooltip-arrow,.bs-tooltip-auto[data-popper-placement^="top"] .tooltip-arrow{bottom:calc(-1 * var(--bs-tooltip-arrow-height))}.bs-tooltip-top .tooltip-arrow::before,.bs-tooltip-auto[data-popper-placement^="top"] .tooltip-arrow::before{top:-1px;border-width:var(--bs-tooltip-arrow-height) calc(var(--bs-tooltip-arrow-width) * .5) 0;border-top-color:var(--bs-tooltip-bg)}.bs-tooltip-end .tooltip-arrow,.bs-tooltip-auto[data-popper-placement^="right"] .tooltip-arrow{left:calc(-1 * var(--bs-tooltip-arrow-height));width:var(--bs-tooltip-arrow-height);height:var(--bs-tooltip-arrow-width)}.bs-tooltip-end .tooltip-arrow::before,.bs-tooltip-auto[data-popper-placement^="right"] .tooltip-arrow::before{right:-1px;border-width:calc(var(--bs-tooltip-arrow-width) * .5) var(--bs-tooltip-arrow-height) calc(var(--bs-tooltip-arrow-width) * .5) 0;border-right-color:var(--bs-tooltip-bg)}.bs-tooltip-bottom .tooltip-arrow,.bs-tooltip-auto[data-popper-placement^="bottom"] .tooltip-arrow{top:calc(-1 * var(--bs-tooltip-arrow-height))}.bs-tooltip-bottom .tooltip-arrow::before,.bs-tooltip-auto[data-popper-placement^="bottom"] .tooltip-arrow::before{bottom:-1px;border-width:0 calc(var(--bs-tooltip-arrow-width) * .5) var(--bs-tooltip-arrow-height);border-bottom-color:var(--bs-tooltip-bg)}.bs-tooltip-start .tooltip-arrow,.bs-tooltip-auto[data-popper-placement^="left"] .tooltip-arrow{right:calc(-1 * var(--bs-tooltip-arrow-height));width:var(--bs-tooltip-arrow-height);height:var(--bs-tooltip-arrow-width)}.bs-tooltip-start .tooltip-arrow::before,.bs-tooltip-auto[data-popper-placement^="left"] .tooltip-arrow::before{left:-1px;border-width:calc(var(--bs-tooltip-arrow-width) * .5) 0 calc(var(--bs-tooltip-arrow-width) * .5) var(--bs-tooltip-arrow-height);border-left-color:var(--bs-tooltip-bg)}.tooltip-inner{max-width:var(--bs-tooltip-max-width);padding:var(--bs-tooltip-padding-y) var(--bs-tooltip-padding-x);color:var(--bs-tooltip-color);text-align:center;background-color:var(--bs-tooltip-bg);border-radius:var(--bs-tooltip-border-radius)}.popover{--bs-popover-zindex: 1070;--bs-popover-max-width: 276px;--bs-popover-font-size:.875rem;--bs-popover-bg: var(--bs-body-bg);--bs-popover-border-width: var(--bs-border-width);--bs-popover-border-color: var(--bs-border-color-translucent);--bs-popover-border-radius: var(--bs-border-radius-lg);--bs-popover-inner-border-radius: calc(var(--bs-border-radius-lg) - var(--bs-border-width));--bs-popover-box-shadow: 0 0.5rem 1rem rgba(0,0,0,0.15);--bs-popover-header-padding-x: 1rem;--bs-popover-header-padding-y: .5rem;--bs-popover-header-font-size:1rem;--bs-popover-header-color: inherit;--bs-popover-header-bg: var(--bs-secondary-bg);--bs-popover-body-padding-x: 1rem;--bs-popover-body-padding-y: 1rem;--bs-popover-body-color: var(--bs-body-color);--bs-popover-arrow-width: 1rem;--bs-popover-arrow-height: .5rem;--bs-popover-arrow-border: var(--bs-popover-border-color);z-index:var(--bs-popover-zindex);display:block;max-width:var(--bs-popover-max-width);font-family:var(--bs-font-sans-serif);font-style:normal;font-weight:400;line-height:1.5;text-align:left;text-align:start;text-decoration:none;text-shadow:none;text-transform:none;letter-spacing:normal;word-break:normal;white-space:normal;word-spacing:normal;line-break:auto;font-size:var(--bs-popover-font-size);word-wrap:break-word;background-color:var(--bs-popover-bg);background-clip:padding-box;border:var(--bs-popover-border-width) solid var(--bs-popover-border-color);border-radius:var(--bs-popover-border-radius)}.popover .popover-arrow{display:block;width:var(--bs-popover-arrow-width);height:var(--bs-popover-arrow-height)}.popover .popover-arrow::before,.popover .popover-arrow::after{position:absolute;display:block;content:"";border-color:transparent;border-style:solid;border-width:0}.bs-popover-top>.popover-arrow,.bs-popover-auto[data-popper-placement^="top"]>.popover-arrow{bottom:calc(-1 * (var(--bs-popover-arrow-height)) - var(--bs-popover-border-width))}.bs-popover-top>.popover-arrow::before,.bs-popover-auto[data-popper-placement^="top"]>.popover-arrow::before,.bs-popover-top>.popover-arrow::after,.bs-popover-auto[data-popper-placement^="top"]>.popover-arrow::after{border-width:var(--bs-popover-arrow-height) calc(var(--bs-popover-arrow-width) * .5) 0}.bs-popover-top>.popover-arrow::before,.bs-popover-auto[data-popper-placement^="top"]>.popover-arrow::before{bottom:0;border-top-color:var(--bs-popover-arrow-border)}.bs-popover-top>.popover-arrow::after,.bs-popover-auto[data-popper-placement^="top"]>.popover-arrow::after{bottom:var(--bs-popover-border-width);border-top-color:var(--bs-popover-bg)}.bs-popover-end>.popover-arrow,.bs-popover-auto[data-popper-placement^="right"]>.popover-arrow{left:calc(-1 * (var(--bs-popover-arrow-height)) - var(--bs-popover-border-width));width:var(--bs-popover-arrow-height);height:var(--bs-popover-arrow-width)}.bs-popover-end>.popover-arrow::before,.bs-popover-auto[data-popper-placement^="right"]>.popover-arrow::before,.bs-popover-end>.popover-arrow::after,.bs-popover-auto[data-popper-placement^="right"]>.popover-arrow::after{border-width:calc(var(--bs-popover-arrow-width) * .5) var(--bs-popover-arrow-height) calc(var(--bs-popover-arrow-width) * .5) 0}.bs-popover-end>.popover-arrow::before,.bs-popover-auto[data-popper-placement^="right"]>.popover-arrow::before{left:0;border-right-color:var(--bs-popover-arrow-border)}.bs-popover-end>.popover-arrow::after,.bs-popover-auto[data-popper-placement^="right"]>.popover-arrow::after{left:var(--bs-popover-border-width);border-right-color:var(--bs-popover-bg)}.bs-popover-bottom>.popover-arrow,.bs-popover-auto[data-popper-placement^="bottom"]>.popover-arrow{top:calc(-1 * (var(--bs-popover-arrow-height)) - var(--bs-popover-border-width))}.bs-popover-bottom>.popover-arrow::before,.bs-popover-auto[data-popper-placement^="bottom"]>.popover-arrow::before,.bs-popover-bottom>.popover-arrow::after,.bs-popover-auto[data-popper-placement^="bottom"]>.popover-arrow::after{border-width:0 calc(var(--bs-popover-arrow-width) * .5) var(--bs-popover-arrow-height)}.bs-popover-bottom>.popover-arrow::before,.bs-popover-auto[data-popper-placement^="bottom"]>.popover-arrow::before{top:0;border-bottom-color:var(--bs-popover-arrow-border)}.bs-popover-bottom>.popover-arrow::after,.bs-popover-auto[data-popper-placement^="bottom"]>.popover-arrow::after{top:var(--bs-popover-border-width);border-bottom-color:var(--bs-popover-bg)}.bs-popover-bottom .popover-header::before,.bs-popover-auto[data-popper-placement^="bottom"] .popover-header::before{position:absolute;top:0;left:50%;display:block;width:var(--bs-popover-arrow-width);margin-left:calc(-.5 * var(--bs-popover-arrow-width));content:"";border-bottom:var(--bs-popover-border-width) solid var(--bs-popover-header-bg)}.bs-popover-start>.popover-arrow,.bs-popover-auto[data-popper-placement^="left"]>.popover-arrow{right:calc(-1 * (var(--bs-popover-arrow-height)) - var(--bs-popover-border-width));width:var(--bs-popover-arrow-height);height:var(--bs-popover-arrow-width)}.bs-popover-start>.popover-arrow::before,.bs-popover-auto[data-popper-placement^="left"]>.popover-arrow::before,.bs-popover-start>.popover-arrow::after,.bs-popover-auto[data-popper-placement^="left"]>.popover-arrow::after{border-width:calc(var(--bs-popover-arrow-width) * .5) 0 calc(var(--bs-popover-arrow-width) * .5) var(--bs-popover-arrow-height)}.bs-popover-start>.popover-arrow::before,.bs-popover-auto[data-popper-placement^="left"]>.popover-arrow::before{right:0;border-left-color:var(--bs-popover-arrow-border)}.bs-popover-start>.popover-arrow::after,.bs-popover-auto[data-popper-placement^="left"]>.popover-arrow::after{right:var(--bs-popover-border-width);border-left-color:var(--bs-popover-bg)}.popover-header{padding:var(--bs-popover-header-padding-y) var(--bs-popover-header-padding-x);margin-bottom:0;font-size:var(--bs-popover-header-font-size);color:var(--bs-popover-header-color);background-color:var(--bs-popover-header-bg);border-bottom:var(--bs-popover-border-width) solid var(--bs-popover-border-color);border-top-left-radius:var(--bs-popover-inner-border-radius);border-top-right-radius:var(--bs-popover-inner-border-radius)}.popover-header:empty{display:none}.popover-body{padding:var(--bs-popover-body-padding-y) var(--bs-popover-body-padding-x);color:var(--bs-popover-body-color)}.carousel{position:relative}.carousel.pointer-event{touch-action:pan-y;-webkit-touch-action:pan-y;-moz-touch-action:pan-y;-ms-touch-action:pan-y;-o-touch-action:pan-y}.carousel-inner{position:relative;width:100%;overflow:hidden}.carousel-inner::after{display:block;clear:both;content:""}.carousel-item{position:relative;display:none;float:left;width:100%;margin-right:-100%;backface-visibility:hidden;-webkit-backface-visibility:hidden;-moz-backface-visibility:hidden;-ms-backface-visibility:hidden;-o-backface-visibility:hidden;transition:transform .6s ease-in-out}@media (prefers-reduced-motion: reduce){.carousel-item{transition:none}}.carousel-item.active,.carousel-item-next,.carousel-item-prev{display:block}.carousel-item-next:not(.carousel-item-start),.active.carousel-item-end{transform:translateX(100%)}.carousel-item-prev:not(.carousel-item-end),.active.carousel-item-start{transform:translateX(-100%)}.carousel-fade .carousel-item{opacity:0;transition-property:opacity;transform:none}.carousel-fade .carousel-item.active,.carousel-fade .carousel-item-next.carousel-item-start,.carousel-fade .carousel-item-prev.carousel-item-end{z-index:1;opacity:1}.carousel-fade .active.carousel-item-start,.carousel-fade .active.carousel-item-end{z-index:0;opacity:0;transition:opacity 0s .6s}@media (prefers-reduced-motion: reduce){.carousel-fade .active.carousel-item-start,.carousel-fade .active.carousel-item-end{transition:none}}.carousel-control-prev,.carousel-control-next{position:absolute;top:0;bottom:0;z-index:1;display:flex;display:-webkit-flex;align-items:center;-webkit-align-items:center;justify-content:center;-webkit-justify-content:center;width:15%;padding:0;color:#fff;text-align:center;background:none;border:0;opacity:.5;transition:opacity 0.15s ease}@media (prefers-reduced-motion: reduce){.carousel-control-prev,.carousel-control-next{transition:none}}.carousel-control-prev:hover,.carousel-control-prev:focus,.carousel-control-next:hover,.carousel-control-next:focus{color:#fff;text-decoration:none;outline:0;opacity:.9}.carousel-control-prev{left:0}.carousel-control-next{right:0}.carousel-control-prev-icon,.carousel-control-next-icon{display:inline-block;width:2rem;height:2rem;background-repeat:no-repeat;background-position:50%;background-size:100% 100%}.carousel-control-prev-icon{background-image:url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23fff'%3e%3cpath d='M11.354 1.646a.5.5 0 0 1 0 .708L5.707 8l5.647 5.646a.5.5 0 0 1-.708.708l-6-6a.5.5 0 0 1 0-.708l6-6a.5.5 0 0 1 .708 0z'/%3e%3c/svg%3e")}.carousel-control-next-icon{background-image:url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23fff'%3e%3cpath d='M4.646 1.646a.5.5 0 0 1 .708 0l6 6a.5.5 0 0 1 0 .708l-6 6a.5.5 0 0 1-.708-.708L10.293 8 4.646 2.354a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e")}.carousel-indicators{position:absolute;right:0;bottom:0;left:0;z-index:2;display:flex;display:-webkit-flex;justify-content:center;-webkit-justify-content:center;padding:0;margin-right:15%;margin-bottom:1rem;margin-left:15%}.carousel-indicators [data-bs-target]{box-sizing:content-box;flex:0 1 auto;-webkit-flex:0 1 auto;width:30px;height:3px;padding:0;margin-right:3px;margin-left:3px;text-indent:-999px;cursor:pointer;background-color:#fff;background-clip:padding-box;border:0;border-top:10px solid transparent;border-bottom:10px solid transparent;opacity:.5;transition:opacity 0.6s ease}@media (prefers-reduced-motion: reduce){.carousel-indicators [data-bs-target]{transition:none}}.carousel-indicators .active{opacity:1}.carousel-caption{position:absolute;right:15%;bottom:1.25rem;left:15%;padding-top:1.25rem;padding-bottom:1.25rem;color:#fff;text-align:center}.carousel-dark .carousel-control-prev-icon,.carousel-dark .carousel-control-next-icon{filter:invert(1) grayscale(100)}.carousel-dark .carousel-indicators [data-bs-target]{background-color:#000}.carousel-dark .carousel-caption{color:#000}[data-bs-theme="dark"] .carousel .carousel-control-prev-icon,[data-bs-theme="dark"] .carousel .carousel-control-next-icon,[data-bs-theme="dark"].carousel .carousel-control-prev-icon,[data-bs-theme="dark"].carousel .carousel-control-next-icon{filter:invert(1) grayscale(100)}[data-bs-theme="dark"] .carousel .carousel-indicators [data-bs-target],[data-bs-theme="dark"].carousel .carousel-indicators [data-bs-target]{background-color:#000}[data-bs-theme="dark"] .carousel .carousel-caption,[data-bs-theme="dark"].carousel .carousel-caption{color:#000}.spinner-grow,.spinner-border{display:inline-block;width:var(--bs-spinner-width);height:var(--bs-spinner-height);vertical-align:var(--bs-spinner-vertical-align);border-radius:50%;animation:var(--bs-spinner-animation-speed) linear infinite var(--bs-spinner-animation-name)}@keyframes spinner-border{to{transform:rotate(360deg) /* rtl:ignore */}}.spinner-border{--bs-spinner-width: 2rem;--bs-spinner-height: 2rem;--bs-spinner-vertical-align: -.125em;--bs-spinner-border-width: .25em;--bs-spinner-animation-speed: .75s;--bs-spinner-animation-name: spinner-border;border:var(--bs-spinner-border-width) solid currentcolor;border-right-color:transparent}.spinner-border-sm{--bs-spinner-width: 1rem;--bs-spinner-height: 1rem;--bs-spinner-border-width: .2em}@keyframes spinner-grow{0%{transform:scale(0)}50%{opacity:1;transform:none}}.spinner-grow{--bs-spinner-width: 2rem;--bs-spinner-height: 2rem;--bs-spinner-vertical-align: -.125em;--bs-spinner-animation-speed: .75s;--bs-spinner-animation-name: spinner-grow;background-color:currentcolor;opacity:0}.spinner-grow-sm{--bs-spinner-width: 1rem;--bs-spinner-height: 1rem}@media (prefers-reduced-motion: reduce){.spinner-border,.spinner-grow{--bs-spinner-animation-speed: 1.5s}}.offcanvas,.offcanvas-xxl,.offcanvas-xl,.offcanvas-lg,.offcanvas-md,.offcanvas-sm{--bs-offcanvas-zindex: 1045;--bs-offcanvas-width: 400px;--bs-offcanvas-height: 30vh;--bs-offcanvas-padding-x: 1rem;--bs-offcanvas-padding-y: 1rem;--bs-offcanvas-color: var(--bs-body-color);--bs-offcanvas-bg: var(--bs-body-bg);--bs-offcanvas-border-width: var(--bs-border-width);--bs-offcanvas-border-color: var(--bs-border-color-translucent);--bs-offcanvas-box-shadow: 0 0.125rem 0.25rem rgba(0,0,0,0.075);--bs-offcanvas-transition: transform .3s ease-in-out;--bs-offcanvas-title-line-height: 1.5}@media (max-width: 575.98px){.offcanvas-sm{position:fixed;bottom:0;z-index:var(--bs-offcanvas-zindex);display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;max-width:100%;color:var(--bs-offcanvas-color);visibility:hidden;background-color:var(--bs-offcanvas-bg);background-clip:padding-box;outline:0;transition:var(--bs-offcanvas-transition)}}@media (max-width: 575.98px) and (prefers-reduced-motion: reduce){.offcanvas-sm{transition:none}}@media (max-width: 575.98px){.offcanvas-sm.offcanvas-start{top:0;left:0;width:var(--bs-offcanvas-width);border-right:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateX(-100%)}.offcanvas-sm.offcanvas-end{top:0;right:0;width:var(--bs-offcanvas-width);border-left:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateX(100%)}.offcanvas-sm.offcanvas-top{top:0;right:0;left:0;height:var(--bs-offcanvas-height);max-height:100%;border-bottom:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateY(-100%)}.offcanvas-sm.offcanvas-bottom{right:0;left:0;height:var(--bs-offcanvas-height);max-height:100%;border-top:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateY(100%)}.offcanvas-sm.showing,.offcanvas-sm.show:not(.hiding){transform:none}.offcanvas-sm.showing,.offcanvas-sm.hiding,.offcanvas-sm.show{visibility:visible}}@media (min-width: 576px){.offcanvas-sm{--bs-offcanvas-height: auto;--bs-offcanvas-border-width: 0;background-color:transparent !important}.offcanvas-sm .offcanvas-header{display:none}.offcanvas-sm .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible;background-color:transparent !important}}@media (max-width: 767.98px){.offcanvas-md{position:fixed;bottom:0;z-index:var(--bs-offcanvas-zindex);display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;max-width:100%;color:var(--bs-offcanvas-color);visibility:hidden;background-color:var(--bs-offcanvas-bg);background-clip:padding-box;outline:0;transition:var(--bs-offcanvas-transition)}}@media (max-width: 767.98px) and (prefers-reduced-motion: reduce){.offcanvas-md{transition:none}}@media (max-width: 767.98px){.offcanvas-md.offcanvas-start{top:0;left:0;width:var(--bs-offcanvas-width);border-right:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateX(-100%)}.offcanvas-md.offcanvas-end{top:0;right:0;width:var(--bs-offcanvas-width);border-left:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateX(100%)}.offcanvas-md.offcanvas-top{top:0;right:0;left:0;height:var(--bs-offcanvas-height);max-height:100%;border-bottom:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateY(-100%)}.offcanvas-md.offcanvas-bottom{right:0;left:0;height:var(--bs-offcanvas-height);max-height:100%;border-top:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateY(100%)}.offcanvas-md.showing,.offcanvas-md.show:not(.hiding){transform:none}.offcanvas-md.showing,.offcanvas-md.hiding,.offcanvas-md.show{visibility:visible}}@media (min-width: 768px){.offcanvas-md{--bs-offcanvas-height: auto;--bs-offcanvas-border-width: 0;background-color:transparent !important}.offcanvas-md .offcanvas-header{display:none}.offcanvas-md .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible;background-color:transparent !important}}@media (max-width: 991.98px){.offcanvas-lg{position:fixed;bottom:0;z-index:var(--bs-offcanvas-zindex);display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;max-width:100%;color:var(--bs-offcanvas-color);visibility:hidden;background-color:var(--bs-offcanvas-bg);background-clip:padding-box;outline:0;transition:var(--bs-offcanvas-transition)}}@media (max-width: 991.98px) and (prefers-reduced-motion: reduce){.offcanvas-lg{transition:none}}@media (max-width: 991.98px){.offcanvas-lg.offcanvas-start{top:0;left:0;width:var(--bs-offcanvas-width);border-right:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateX(-100%)}.offcanvas-lg.offcanvas-end{top:0;right:0;width:var(--bs-offcanvas-width);border-left:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateX(100%)}.offcanvas-lg.offcanvas-top{top:0;right:0;left:0;height:var(--bs-offcanvas-height);max-height:100%;border-bottom:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateY(-100%)}.offcanvas-lg.offcanvas-bottom{right:0;left:0;height:var(--bs-offcanvas-height);max-height:100%;border-top:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateY(100%)}.offcanvas-lg.showing,.offcanvas-lg.show:not(.hiding){transform:none}.offcanvas-lg.showing,.offcanvas-lg.hiding,.offcanvas-lg.show{visibility:visible}}@media (min-width: 992px){.offcanvas-lg{--bs-offcanvas-height: auto;--bs-offcanvas-border-width: 0;background-color:transparent !important}.offcanvas-lg .offcanvas-header{display:none}.offcanvas-lg .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible;background-color:transparent !important}}@media (max-width: 1199.98px){.offcanvas-xl{position:fixed;bottom:0;z-index:var(--bs-offcanvas-zindex);display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;max-width:100%;color:var(--bs-offcanvas-color);visibility:hidden;background-color:var(--bs-offcanvas-bg);background-clip:padding-box;outline:0;transition:var(--bs-offcanvas-transition)}}@media (max-width: 1199.98px) and (prefers-reduced-motion: reduce){.offcanvas-xl{transition:none}}@media (max-width: 1199.98px){.offcanvas-xl.offcanvas-start{top:0;left:0;width:var(--bs-offcanvas-width);border-right:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateX(-100%)}.offcanvas-xl.offcanvas-end{top:0;right:0;width:var(--bs-offcanvas-width);border-left:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateX(100%)}.offcanvas-xl.offcanvas-top{top:0;right:0;left:0;height:var(--bs-offcanvas-height);max-height:100%;border-bottom:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateY(-100%)}.offcanvas-xl.offcanvas-bottom{right:0;left:0;height:var(--bs-offcanvas-height);max-height:100%;border-top:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateY(100%)}.offcanvas-xl.showing,.offcanvas-xl.show:not(.hiding){transform:none}.offcanvas-xl.showing,.offcanvas-xl.hiding,.offcanvas-xl.show{visibility:visible}}@media (min-width: 1200px){.offcanvas-xl{--bs-offcanvas-height: auto;--bs-offcanvas-border-width: 0;background-color:transparent !important}.offcanvas-xl .offcanvas-header{display:none}.offcanvas-xl .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible;background-color:transparent !important}}@media (max-width: 1399.98px){.offcanvas-xxl{position:fixed;bottom:0;z-index:var(--bs-offcanvas-zindex);display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;max-width:100%;color:var(--bs-offcanvas-color);visibility:hidden;background-color:var(--bs-offcanvas-bg);background-clip:padding-box;outline:0;transition:var(--bs-offcanvas-transition)}}@media (max-width: 1399.98px) and (prefers-reduced-motion: reduce){.offcanvas-xxl{transition:none}}@media (max-width: 1399.98px){.offcanvas-xxl.offcanvas-start{top:0;left:0;width:var(--bs-offcanvas-width);border-right:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateX(-100%)}.offcanvas-xxl.offcanvas-end{top:0;right:0;width:var(--bs-offcanvas-width);border-left:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateX(100%)}.offcanvas-xxl.offcanvas-top{top:0;right:0;left:0;height:var(--bs-offcanvas-height);max-height:100%;border-bottom:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateY(-100%)}.offcanvas-xxl.offcanvas-bottom{right:0;left:0;height:var(--bs-offcanvas-height);max-height:100%;border-top:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateY(100%)}.offcanvas-xxl.showing,.offcanvas-xxl.show:not(.hiding){transform:none}.offcanvas-xxl.showing,.offcanvas-xxl.hiding,.offcanvas-xxl.show{visibility:visible}}@media (min-width: 1400px){.offcanvas-xxl{--bs-offcanvas-height: auto;--bs-offcanvas-border-width: 0;background-color:transparent !important}.offcanvas-xxl .offcanvas-header{display:none}.offcanvas-xxl .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible;background-color:transparent !important}}.offcanvas{position:fixed;bottom:0;z-index:var(--bs-offcanvas-zindex);display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;max-width:100%;color:var(--bs-offcanvas-color);visibility:hidden;background-color:var(--bs-offcanvas-bg);background-clip:padding-box;outline:0;transition:var(--bs-offcanvas-transition)}@media (prefers-reduced-motion: reduce){.offcanvas{transition:none}}.offcanvas.offcanvas-start{top:0;left:0;width:var(--bs-offcanvas-width);border-right:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateX(-100%)}.offcanvas.offcanvas-end{top:0;right:0;width:var(--bs-offcanvas-width);border-left:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateX(100%)}.offcanvas.offcanvas-top{top:0;right:0;left:0;height:var(--bs-offcanvas-height);max-height:100%;border-bottom:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateY(-100%)}.offcanvas.offcanvas-bottom{right:0;left:0;height:var(--bs-offcanvas-height);max-height:100%;border-top:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateY(100%)}.offcanvas.showing,.offcanvas.show:not(.hiding){transform:none}.offcanvas.showing,.offcanvas.hiding,.offcanvas.show{visibility:visible}.offcanvas-backdrop{position:fixed;top:0;left:0;z-index:1040;width:100vw;height:100vh;background-color:#000}.offcanvas-backdrop.fade{opacity:0}.offcanvas-backdrop.show{opacity:.5}.offcanvas-header{display:flex;display:-webkit-flex;align-items:center;-webkit-align-items:center;justify-content:space-between;-webkit-justify-content:space-between;padding:var(--bs-offcanvas-padding-y) var(--bs-offcanvas-padding-x)}.offcanvas-header .btn-close{padding:calc(var(--bs-offcanvas-padding-y) * .5) calc(var(--bs-offcanvas-padding-x) * .5);margin-top:calc(-.5 * var(--bs-offcanvas-padding-y));margin-right:calc(-.5 * var(--bs-offcanvas-padding-x));margin-bottom:calc(-.5 * var(--bs-offcanvas-padding-y))}.offcanvas-title{margin-bottom:0;line-height:var(--bs-offcanvas-title-line-height)}.offcanvas-body{flex-grow:1;-webkit-flex-grow:1;padding:var(--bs-offcanvas-padding-y) var(--bs-offcanvas-padding-x);overflow-y:auto}.placeholder{display:inline-block;min-height:1em;vertical-align:middle;cursor:wait;background-color:currentcolor;opacity:.5}.placeholder.btn::before{display:inline-block;content:""}.placeholder-xs{min-height:.6em}.placeholder-sm{min-height:.8em}.placeholder-lg{min-height:1.2em}.placeholder-glow .placeholder{animation:placeholder-glow 2s ease-in-out infinite}@keyframes placeholder-glow{50%{opacity:.2}}.placeholder-wave{mask-image:linear-gradient(130deg, #000 55%, rgba(0,0,0,0.8) 75%, #000 95%);-webkit-mask-image:linear-gradient(130deg, #000 55%, rgba(0,0,0,0.8) 75%, #000 95%);mask-size:200% 100%;-webkit-mask-size:200% 100%;animation:placeholder-wave 2s linear infinite}@keyframes placeholder-wave{100%{mask-position:-200% 0%;-webkit-mask-position:-200% 0%}}.clearfix::after{display:block;clear:both;content:""}.text-bg-default{color:#000 !important;background-color:RGBA(var(--bs-default-rgb), var(--bs-bg-opacity, 1)) !important}.text-bg-primary{color:#fff !important;background-color:RGBA(var(--bs-primary-rgb), var(--bs-bg-opacity, 1)) !important}.text-bg-secondary{color:#fff !important;background-color:RGBA(var(--bs-secondary-rgb), var(--bs-bg-opacity, 1)) !important}.text-bg-success{color:#fff !important;background-color:RGBA(var(--bs-success-rgb), var(--bs-bg-opacity, 1)) !important}.text-bg-info{color:#000 !important;background-color:RGBA(var(--bs-info-rgb), var(--bs-bg-opacity, 1)) !important}.text-bg-warning{color:#000 !important;background-color:RGBA(var(--bs-warning-rgb), var(--bs-bg-opacity, 1)) !important}.text-bg-danger{color:#fff !important;background-color:RGBA(var(--bs-danger-rgb), var(--bs-bg-opacity, 1)) !important}.text-bg-light{color:#000 !important;background-color:RGBA(var(--bs-light-rgb), var(--bs-bg-opacity, 1)) !important}.text-bg-dark{color:#fff !important;background-color:RGBA(var(--bs-dark-rgb), var(--bs-bg-opacity, 1)) !important}.link-default{color:RGBA(var(--bs-default-rgb), var(--bs-link-opacity, 1)) !important;text-decoration-color:RGBA(var(--bs-default-rgb), var(--bs-link-underline-opacity, 1)) !important}.link-default:hover,.link-default:focus{color:RGBA(229,232,235, var(--bs-link-opacity, 1)) !important;text-decoration-color:RGBA(229,232,235, var(--bs-link-underline-opacity, 1)) !important}.link-primary{color:RGBA(var(--bs-primary-rgb), var(--bs-link-opacity, 1)) !important;text-decoration-color:RGBA(var(--bs-primary-rgb), var(--bs-link-underline-opacity, 1)) !important}.link-primary:hover,.link-primary:focus{color:RGBA(10,88,202, var(--bs-link-opacity, 1)) !important;text-decoration-color:RGBA(10,88,202, var(--bs-link-underline-opacity, 1)) !important}.link-secondary{color:RGBA(var(--bs-secondary-rgb), var(--bs-link-opacity, 1)) !important;text-decoration-color:RGBA(var(--bs-secondary-rgb), var(--bs-link-underline-opacity, 1)) !important}.link-secondary:hover,.link-secondary:focus{color:RGBA(86,94,100, var(--bs-link-opacity, 1)) !important;text-decoration-color:RGBA(86,94,100, var(--bs-link-underline-opacity, 1)) !important}.link-success{color:RGBA(var(--bs-success-rgb), var(--bs-link-opacity, 1)) !important;text-decoration-color:RGBA(var(--bs-success-rgb), var(--bs-link-underline-opacity, 1)) !important}.link-success:hover,.link-success:focus{color:RGBA(20,108,67, var(--bs-link-opacity, 1)) !important;text-decoration-color:RGBA(20,108,67, var(--bs-link-underline-opacity, 1)) !important}.link-info{color:RGBA(var(--bs-info-rgb), var(--bs-link-opacity, 1)) !important;text-decoration-color:RGBA(var(--bs-info-rgb), var(--bs-link-underline-opacity, 1)) !important}.link-info:hover,.link-info:focus{color:RGBA(61,213,243, var(--bs-link-opacity, 1)) !important;text-decoration-color:RGBA(61,213,243, var(--bs-link-underline-opacity, 1)) !important}.link-warning{color:RGBA(var(--bs-warning-rgb), var(--bs-link-opacity, 1)) !important;text-decoration-color:RGBA(var(--bs-warning-rgb), var(--bs-link-underline-opacity, 1)) !important}.link-warning:hover,.link-warning:focus{color:RGBA(255,205,57, var(--bs-link-opacity, 1)) !important;text-decoration-color:RGBA(255,205,57, var(--bs-link-underline-opacity, 1)) !important}.link-danger{color:RGBA(var(--bs-danger-rgb), var(--bs-link-opacity, 1)) !important;text-decoration-color:RGBA(var(--bs-danger-rgb), var(--bs-link-underline-opacity, 1)) !important}.link-danger:hover,.link-danger:focus{color:RGBA(176,42,55, var(--bs-link-opacity, 1)) !important;text-decoration-color:RGBA(176,42,55, var(--bs-link-underline-opacity, 1)) !important}.link-light{color:RGBA(var(--bs-light-rgb), var(--bs-link-opacity, 1)) !important;text-decoration-color:RGBA(var(--bs-light-rgb), var(--bs-link-underline-opacity, 1)) !important}.link-light:hover,.link-light:focus{color:RGBA(249,250,251, var(--bs-link-opacity, 1)) !important;text-decoration-color:RGBA(249,250,251, var(--bs-link-underline-opacity, 1)) !important}.link-dark{color:RGBA(var(--bs-dark-rgb), var(--bs-link-opacity, 1)) !important;text-decoration-color:RGBA(var(--bs-dark-rgb), var(--bs-link-underline-opacity, 1)) !important}.link-dark:hover,.link-dark:focus{color:RGBA(26,30,33, var(--bs-link-opacity, 1)) !important;text-decoration-color:RGBA(26,30,33, var(--bs-link-underline-opacity, 1)) !important}.link-body-emphasis{color:RGBA(var(--bs-emphasis-color-rgb), var(--bs-link-opacity, 1)) !important;text-decoration-color:RGBA(var(--bs-emphasis-color-rgb), var(--bs-link-underline-opacity, 1)) !important}.link-body-emphasis:hover,.link-body-emphasis:focus{color:RGBA(var(--bs-emphasis-color-rgb), var(--bs-link-opacity, 0.75)) !important;text-decoration-color:RGBA(var(--bs-emphasis-color-rgb), var(--bs-link-underline-opacity, 0.75)) !important}.focus-ring:focus{outline:0;box-shadow:var(--bs-focus-ring-x, 0) var(--bs-focus-ring-y, 0) var(--bs-focus-ring-blur, 0) var(--bs-focus-ring-width) var(--bs-focus-ring-color)}.icon-link{display:inline-flex;gap:.375rem;align-items:center;-webkit-align-items:center;text-decoration-color:rgba(var(--bs-link-color-rgb), var(--bs-link-opacity, 0.5));text-underline-offset:.25em;backface-visibility:hidden;-webkit-backface-visibility:hidden;-moz-backface-visibility:hidden;-ms-backface-visibility:hidden;-o-backface-visibility:hidden}.icon-link>.bi{flex-shrink:0;-webkit-flex-shrink:0;width:1em;height:1em;fill:currentcolor;transition:0.2s ease-in-out transform}@media (prefers-reduced-motion: reduce){.icon-link>.bi{transition:none}}.icon-link-hover:hover>.bi,.icon-link-hover:focus-visible>.bi{transform:var(--bs-icon-link-transform, translate3d(0.25em, 0, 0))}.ratio{position:relative;width:100%}.ratio::before{display:block;padding-top:var(--bs-aspect-ratio);content:""}.ratio>*{position:absolute;top:0;left:0;width:100%;height:100%}.ratio-1x1{--bs-aspect-ratio: 100%}.ratio-4x3{--bs-aspect-ratio: calc(3 / 4 * 100%)}.ratio-16x9{--bs-aspect-ratio: calc(9 / 16 * 100%)}.ratio-21x9{--bs-aspect-ratio: calc(9 / 21 * 100%)}.fixed-top{position:fixed;top:0;right:0;left:0;z-index:1030}.fixed-bottom{position:fixed;right:0;bottom:0;left:0;z-index:1030}.sticky-top{position:sticky;top:0;z-index:1020}.sticky-bottom{position:sticky;bottom:0;z-index:1020}@media (min-width: 576px){.sticky-sm-top{position:sticky;top:0;z-index:1020}.sticky-sm-bottom{position:sticky;bottom:0;z-index:1020}}@media (min-width: 768px){.sticky-md-top{position:sticky;top:0;z-index:1020}.sticky-md-bottom{position:sticky;bottom:0;z-index:1020}}@media (min-width: 992px){.sticky-lg-top{position:sticky;top:0;z-index:1020}.sticky-lg-bottom{position:sticky;bottom:0;z-index:1020}}@media (min-width: 1200px){.sticky-xl-top{position:sticky;top:0;z-index:1020}.sticky-xl-bottom{position:sticky;bottom:0;z-index:1020}}@media (min-width: 1400px){.sticky-xxl-top{position:sticky;top:0;z-index:1020}.sticky-xxl-bottom{position:sticky;bottom:0;z-index:1020}}.hstack{display:flex;display:-webkit-flex;flex-direction:row;-webkit-flex-direction:row;align-items:center;-webkit-align-items:center;align-self:stretch;-webkit-align-self:stretch}.vstack{display:flex;display:-webkit-flex;flex:1 1 auto;-webkit-flex:1 1 auto;flex-direction:column;-webkit-flex-direction:column;align-self:stretch;-webkit-align-self:stretch}.visually-hidden,.visually-hidden-focusable:not(:focus):not(:focus-within){width:1px !important;height:1px !important;padding:0 !important;margin:-1px !important;overflow:hidden !important;clip:rect(0, 0, 0, 0) !important;white-space:nowrap !important;border:0 !important}.visually-hidden:not(caption),.visually-hidden-focusable:not(:focus):not(:focus-within):not(caption){position:absolute !important}.stretched-link::after{position:absolute;top:0;right:0;bottom:0;left:0;z-index:1;content:""}.text-truncate{overflow:hidden;text-overflow:ellipsis;white-space:nowrap}.vr{display:inline-block;align-self:stretch;-webkit-align-self:stretch;width:var(--bs-border-width);min-height:1em;background-color:currentcolor;opacity:.25}.align-baseline{vertical-align:baseline !important}.align-top{vertical-align:top !important}.align-middle{vertical-align:middle !important}.align-bottom{vertical-align:bottom !important}.align-text-bottom{vertical-align:text-bottom !important}.align-text-top{vertical-align:text-top !important}.float-start{float:left !important}.float-end{float:right !important}.float-none{float:none !important}.object-fit-contain{object-fit:contain !important}.object-fit-cover{object-fit:cover !important}.object-fit-fill{object-fit:fill !important}.object-fit-scale{object-fit:scale-down !important}.object-fit-none{object-fit:none !important}.opacity-0{opacity:0 !important}.opacity-25{opacity:.25 !important}.opacity-50{opacity:.5 !important}.opacity-75{opacity:.75 !important}.opacity-100{opacity:1 !important}.overflow-auto{overflow:auto !important}.overflow-hidden{overflow:hidden !important}.overflow-visible{overflow:visible !important}.overflow-scroll{overflow:scroll !important}.overflow-x-auto{overflow-x:auto !important}.overflow-x-hidden{overflow-x:hidden !important}.overflow-x-visible{overflow-x:visible !important}.overflow-x-scroll{overflow-x:scroll !important}.overflow-y-auto{overflow-y:auto !important}.overflow-y-hidden{overflow-y:hidden !important}.overflow-y-visible{overflow-y:visible !important}.overflow-y-scroll{overflow-y:scroll !important}.d-inline{display:inline !important}.d-inline-block{display:inline-block !important}.d-block{display:block !important}.d-grid{display:grid !important}.d-inline-grid{display:inline-grid !important}.d-table{display:table !important}.d-table-row{display:table-row !important}.d-table-cell{display:table-cell !important}.d-flex{display:flex !important}.d-inline-flex{display:inline-flex !important}.d-none{display:none !important}.shadow{box-shadow:0 0.5rem 1rem rgba(0,0,0,0.15) !important}.shadow-sm{box-shadow:0 0.125rem 0.25rem rgba(0,0,0,0.075) !important}.shadow-lg{box-shadow:0 1rem 3rem rgba(0,0,0,0.175) !important}.shadow-none{box-shadow:none !important}.focus-ring-default{--bs-focus-ring-color: rgba(var(--bs-default-rgb), var(--bs-focus-ring-opacity))}.focus-ring-primary{--bs-focus-ring-color: rgba(var(--bs-primary-rgb), var(--bs-focus-ring-opacity))}.focus-ring-secondary{--bs-focus-ring-color: rgba(var(--bs-secondary-rgb), var(--bs-focus-ring-opacity))}.focus-ring-success{--bs-focus-ring-color: rgba(var(--bs-success-rgb), var(--bs-focus-ring-opacity))}.focus-ring-info{--bs-focus-ring-color: rgba(var(--bs-info-rgb), var(--bs-focus-ring-opacity))}.focus-ring-warning{--bs-focus-ring-color: rgba(var(--bs-warning-rgb), var(--bs-focus-ring-opacity))}.focus-ring-danger{--bs-focus-ring-color: rgba(var(--bs-danger-rgb), var(--bs-focus-ring-opacity))}.focus-ring-light{--bs-focus-ring-color: rgba(var(--bs-light-rgb), var(--bs-focus-ring-opacity))}.focus-ring-dark{--bs-focus-ring-color: rgba(var(--bs-dark-rgb), var(--bs-focus-ring-opacity))}.position-static{position:static !important}.position-relative{position:relative !important}.position-absolute{position:absolute !important}.position-fixed{position:fixed !important}.position-sticky{position:sticky !important}.top-0{top:0 !important}.top-50{top:50% !important}.top-100{top:100% !important}.bottom-0{bottom:0 !important}.bottom-50{bottom:50% !important}.bottom-100{bottom:100% !important}.start-0{left:0 !important}.start-50{left:50% !important}.start-100{left:100% !important}.end-0{right:0 !important}.end-50{right:50% !important}.end-100{right:100% !important}.translate-middle{transform:translate(-50%, -50%) !important}.translate-middle-x{transform:translateX(-50%) !important}.translate-middle-y{transform:translateY(-50%) !important}.border{border:var(--bs-border-width) var(--bs-border-style) var(--bs-border-color) !important}.border-0{border:0 !important}.border-top{border-top:var(--bs-border-width) var(--bs-border-style) var(--bs-border-color) !important}.border-top-0{border-top:0 !important}.border-end{border-right:var(--bs-border-width) var(--bs-border-style) var(--bs-border-color) !important}.border-end-0{border-right:0 !important}.border-bottom{border-bottom:var(--bs-border-width) var(--bs-border-style) var(--bs-border-color) !important}.border-bottom-0{border-bottom:0 !important}.border-start{border-left:var(--bs-border-width) var(--bs-border-style) var(--bs-border-color) !important}.border-start-0{border-left:0 !important}.border-default{--bs-border-opacity: 1;border-color:rgba(var(--bs-default-rgb), var(--bs-border-opacity)) !important}.border-primary{--bs-border-opacity: 1;border-color:rgba(var(--bs-primary-rgb), var(--bs-border-opacity)) !important}.border-secondary{--bs-border-opacity: 1;border-color:rgba(var(--bs-secondary-rgb), var(--bs-border-opacity)) !important}.border-success{--bs-border-opacity: 1;border-color:rgba(var(--bs-success-rgb), var(--bs-border-opacity)) !important}.border-info{--bs-border-opacity: 1;border-color:rgba(var(--bs-info-rgb), var(--bs-border-opacity)) !important}.border-warning{--bs-border-opacity: 1;border-color:rgba(var(--bs-warning-rgb), var(--bs-border-opacity)) !important}.border-danger{--bs-border-opacity: 1;border-color:rgba(var(--bs-danger-rgb), var(--bs-border-opacity)) !important}.border-light{--bs-border-opacity: 1;border-color:rgba(var(--bs-light-rgb), var(--bs-border-opacity)) !important}.border-dark{--bs-border-opacity: 1;border-color:rgba(var(--bs-dark-rgb), var(--bs-border-opacity)) !important}.border-black{--bs-border-opacity: 1;border-color:rgba(var(--bs-black-rgb), var(--bs-border-opacity)) !important}.border-white{--bs-border-opacity: 1;border-color:rgba(var(--bs-white-rgb), var(--bs-border-opacity)) !important}.border-primary-subtle{border-color:var(--bs-primary-border-subtle) !important}.border-secondary-subtle{border-color:var(--bs-secondary-border-subtle) !important}.border-success-subtle{border-color:var(--bs-success-border-subtle) !important}.border-info-subtle{border-color:var(--bs-info-border-subtle) !important}.border-warning-subtle{border-color:var(--bs-warning-border-subtle) !important}.border-danger-subtle{border-color:var(--bs-danger-border-subtle) !important}.border-light-subtle{border-color:var(--bs-light-border-subtle) !important}.border-dark-subtle{border-color:var(--bs-dark-border-subtle) !important}.border-1{border-width:1px !important}.border-2{border-width:2px !important}.border-3{border-width:3px !important}.border-4{border-width:4px !important}.border-5{border-width:5px !important}.border-opacity-10{--bs-border-opacity: .1}.border-opacity-25{--bs-border-opacity: .25}.border-opacity-50{--bs-border-opacity: .5}.border-opacity-75{--bs-border-opacity: .75}.border-opacity-100{--bs-border-opacity: 1}.w-25{width:25% !important}.w-50{width:50% !important}.w-75{width:75% !important}.w-100{width:100% !important}.w-auto{width:auto !important}.mw-100{max-width:100% !important}.vw-100{width:100vw !important}.min-vw-100{min-width:100vw !important}.h-25{height:25% !important}.h-50{height:50% !important}.h-75{height:75% !important}.h-100{height:100% !important}.h-auto{height:auto !important}.mh-100{max-height:100% !important}.vh-100{height:100vh !important}.min-vh-100{min-height:100vh !important}.flex-fill{flex:1 1 auto !important}.flex-row{flex-direction:row !important}.flex-column{flex-direction:column !important}.flex-row-reverse{flex-direction:row-reverse !important}.flex-column-reverse{flex-direction:column-reverse !important}.flex-grow-0{flex-grow:0 !important}.flex-grow-1{flex-grow:1 !important}.flex-shrink-0{flex-shrink:0 !important}.flex-shrink-1{flex-shrink:1 !important}.flex-wrap{flex-wrap:wrap !important}.flex-nowrap{flex-wrap:nowrap !important}.flex-wrap-reverse{flex-wrap:wrap-reverse !important}.justify-content-start{justify-content:flex-start !important}.justify-content-end{justify-content:flex-end !important}.justify-content-center{justify-content:center !important}.justify-content-between{justify-content:space-between !important}.justify-content-around{justify-content:space-around !important}.justify-content-evenly{justify-content:space-evenly !important}.align-items-start{align-items:flex-start !important}.align-items-end{align-items:flex-end !important}.align-items-center{align-items:center !important}.align-items-baseline{align-items:baseline !important}.align-items-stretch{align-items:stretch !important}.align-content-start{align-content:flex-start !important}.align-content-end{align-content:flex-end !important}.align-content-center{align-content:center !important}.align-content-between{align-content:space-between !important}.align-content-around{align-content:space-around !important}.align-content-stretch{align-content:stretch !important}.align-self-auto{align-self:auto !important}.align-self-start{align-self:flex-start !important}.align-self-end{align-self:flex-end !important}.align-self-center{align-self:center !important}.align-self-baseline{align-self:baseline !important}.align-self-stretch{align-self:stretch !important}.order-first{order:-1 !important}.order-0{order:0 !important}.order-1{order:1 !important}.order-2{order:2 !important}.order-3{order:3 !important}.order-4{order:4 !important}.order-5{order:5 !important}.order-last{order:6 !important}.m-0{margin:0 !important}.m-1{margin:.25rem !important}.m-2{margin:.5rem !important}.m-3{margin:1rem !important}.m-4{margin:1.5rem !important}.m-5{margin:3rem !important}.m-auto{margin:auto !important}.mx-0{margin-right:0 !important;margin-left:0 !important}.mx-1{margin-right:.25rem !important;margin-left:.25rem !important}.mx-2{margin-right:.5rem !important;margin-left:.5rem !important}.mx-3{margin-right:1rem !important;margin-left:1rem !important}.mx-4{margin-right:1.5rem !important;margin-left:1.5rem !important}.mx-5{margin-right:3rem !important;margin-left:3rem !important}.mx-auto{margin-right:auto !important;margin-left:auto !important}.my-0{margin-top:0 !important;margin-bottom:0 !important}.my-1{margin-top:.25rem !important;margin-bottom:.25rem !important}.my-2{margin-top:.5rem !important;margin-bottom:.5rem !important}.my-3{margin-top:1rem !important;margin-bottom:1rem !important}.my-4{margin-top:1.5rem !important;margin-bottom:1.5rem !important}.my-5{margin-top:3rem !important;margin-bottom:3rem !important}.my-auto{margin-top:auto !important;margin-bottom:auto !important}.mt-0{margin-top:0 !important}.mt-1{margin-top:.25rem !important}.mt-2{margin-top:.5rem !important}.mt-3{margin-top:1rem !important}.mt-4{margin-top:1.5rem !important}.mt-5{margin-top:3rem !important}.mt-auto{margin-top:auto !important}.me-0{margin-right:0 !important}.me-1{margin-right:.25rem !important}.me-2{margin-right:.5rem !important}.me-3{margin-right:1rem !important}.me-4{margin-right:1.5rem !important}.me-5{margin-right:3rem !important}.me-auto{margin-right:auto !important}.mb-0{margin-bottom:0 !important}.mb-1{margin-bottom:.25rem !important}.mb-2{margin-bottom:.5rem !important}.mb-3{margin-bottom:1rem !important}.mb-4{margin-bottom:1.5rem !important}.mb-5{margin-bottom:3rem !important}.mb-auto{margin-bottom:auto !important}.ms-0{margin-left:0 !important}.ms-1{margin-left:.25rem !important}.ms-2{margin-left:.5rem !important}.ms-3{margin-left:1rem !important}.ms-4{margin-left:1.5rem !important}.ms-5{margin-left:3rem !important}.ms-auto{margin-left:auto !important}.p-0{padding:0 !important}.p-1{padding:.25rem !important}.p-2{padding:.5rem !important}.p-3{padding:1rem !important}.p-4{padding:1.5rem !important}.p-5{padding:3rem !important}.px-0{padding-right:0 !important;padding-left:0 !important}.px-1{padding-right:.25rem !important;padding-left:.25rem !important}.px-2{padding-right:.5rem !important;padding-left:.5rem !important}.px-3{padding-right:1rem !important;padding-left:1rem !important}.px-4{padding-right:1.5rem !important;padding-left:1.5rem !important}.px-5{padding-right:3rem !important;padding-left:3rem !important}.py-0{padding-top:0 !important;padding-bottom:0 !important}.py-1{padding-top:.25rem !important;padding-bottom:.25rem !important}.py-2{padding-top:.5rem !important;padding-bottom:.5rem !important}.py-3{padding-top:1rem !important;padding-bottom:1rem !important}.py-4{padding-top:1.5rem !important;padding-bottom:1.5rem !important}.py-5{padding-top:3rem !important;padding-bottom:3rem !important}.pt-0{padding-top:0 !important}.pt-1{padding-top:.25rem !important}.pt-2{padding-top:.5rem !important}.pt-3{padding-top:1rem !important}.pt-4{padding-top:1.5rem !important}.pt-5{padding-top:3rem !important}.pe-0{padding-right:0 !important}.pe-1{padding-right:.25rem !important}.pe-2{padding-right:.5rem !important}.pe-3{padding-right:1rem !important}.pe-4{padding-right:1.5rem !important}.pe-5{padding-right:3rem !important}.pb-0{padding-bottom:0 !important}.pb-1{padding-bottom:.25rem !important}.pb-2{padding-bottom:.5rem !important}.pb-3{padding-bottom:1rem !important}.pb-4{padding-bottom:1.5rem !important}.pb-5{padding-bottom:3rem !important}.ps-0{padding-left:0 !important}.ps-1{padding-left:.25rem !important}.ps-2{padding-left:.5rem !important}.ps-3{padding-left:1rem !important}.ps-4{padding-left:1.5rem !important}.ps-5{padding-left:3rem !important}.gap-0{gap:0 !important}.gap-1{gap:.25rem !important}.gap-2{gap:.5rem !important}.gap-3{gap:1rem !important}.gap-4{gap:1.5rem !important}.gap-5{gap:3rem !important}.row-gap-0{row-gap:0 !important}.row-gap-1{row-gap:.25rem !important}.row-gap-2{row-gap:.5rem !important}.row-gap-3{row-gap:1rem !important}.row-gap-4{row-gap:1.5rem !important}.row-gap-5{row-gap:3rem !important}.column-gap-0{column-gap:0 !important}.column-gap-1{column-gap:.25rem !important}.column-gap-2{column-gap:.5rem !important}.column-gap-3{column-gap:1rem !important}.column-gap-4{column-gap:1.5rem !important}.column-gap-5{column-gap:3rem !important}.font-monospace{font-family:var(--bs-font-monospace) !important}.fs-1{font-size:calc(1.375rem + 1.5vw) !important}.fs-2{font-size:calc(1.325rem + .9vw) !important}.fs-3{font-size:calc(1.3rem + .6vw) !important}.fs-4{font-size:calc(1.275rem + .3vw) !important}.fs-5{font-size:1.25rem !important}.fs-6{font-size:1rem !important}.fst-italic{font-style:italic !important}.fst-normal{font-style:normal !important}.fw-lighter{font-weight:lighter !important}.fw-light{font-weight:300 !important}.fw-normal{font-weight:400 !important}.fw-medium{font-weight:500 !important}.fw-semibold{font-weight:600 !important}.fw-bold{font-weight:700 !important}.fw-bolder{font-weight:bolder !important}.lh-1{line-height:1 !important}.lh-sm{line-height:1.25 !important}.lh-base{line-height:1.5 !important}.lh-lg{line-height:2 !important}.text-start{text-align:left !important}.text-end{text-align:right !important}.text-center{text-align:center !important}.text-decoration-none{text-decoration:none !important}.text-decoration-underline{text-decoration:underline !important}.text-decoration-line-through{text-decoration:line-through !important}.text-lowercase{text-transform:lowercase !important}.text-uppercase{text-transform:uppercase !important}.text-capitalize{text-transform:capitalize !important}.text-wrap{white-space:normal !important}.text-nowrap{white-space:nowrap !important}.text-break{word-wrap:break-word !important;word-break:break-word !important}.text-default{--bs-text-opacity: 1;color:rgba(var(--bs-default-rgb), var(--bs-text-opacity)) !important}.text-primary{--bs-text-opacity: 1;color:rgba(var(--bs-primary-rgb), var(--bs-text-opacity)) !important}.text-secondary{--bs-text-opacity: 1;color:rgba(var(--bs-secondary-rgb), var(--bs-text-opacity)) !important}.text-success{--bs-text-opacity: 1;color:rgba(var(--bs-success-rgb), var(--bs-text-opacity)) !important}.text-info{--bs-text-opacity: 1;color:rgba(var(--bs-info-rgb), var(--bs-text-opacity)) !important}.text-warning{--bs-text-opacity: 1;color:rgba(var(--bs-warning-rgb), var(--bs-text-opacity)) !important}.text-danger{--bs-text-opacity: 1;color:rgba(var(--bs-danger-rgb), var(--bs-text-opacity)) !important}.text-light{--bs-text-opacity: 1;color:rgba(var(--bs-light-rgb), var(--bs-text-opacity)) !important}.text-dark{--bs-text-opacity: 1;color:rgba(var(--bs-dark-rgb), var(--bs-text-opacity)) !important}.text-black{--bs-text-opacity: 1;color:rgba(var(--bs-black-rgb), var(--bs-text-opacity)) !important}.text-white{--bs-text-opacity: 1;color:rgba(var(--bs-white-rgb), var(--bs-text-opacity)) !important}.text-body{--bs-text-opacity: 1;color:rgba(var(--bs-body-color-rgb), var(--bs-text-opacity)) !important}.text-muted{--bs-text-opacity: 1;color:var(--bs-secondary-color) !important}.text-black-50{--bs-text-opacity: 1;color:rgba(0,0,0,0.5) !important}.text-white-50{--bs-text-opacity: 1;color:rgba(255,255,255,0.5) !important}.text-body-secondary{--bs-text-opacity: 1;color:var(--bs-secondary-color) !important}.text-body-tertiary{--bs-text-opacity: 1;color:var(--bs-tertiary-color) !important}.text-body-emphasis{--bs-text-opacity: 1;color:var(--bs-emphasis-color) !important}.text-reset{--bs-text-opacity: 1;color:inherit !important}.text-opacity-25{--bs-text-opacity: .25}.text-opacity-50{--bs-text-opacity: .5}.text-opacity-75{--bs-text-opacity: .75}.text-opacity-100{--bs-text-opacity: 1}.text-primary-emphasis{color:var(--bs-primary-text-emphasis) !important}.text-secondary-emphasis{color:var(--bs-secondary-text-emphasis) !important}.text-success-emphasis{color:var(--bs-success-text-emphasis) !important}.text-info-emphasis{color:var(--bs-info-text-emphasis) !important}.text-warning-emphasis{color:var(--bs-warning-text-emphasis) !important}.text-danger-emphasis{color:var(--bs-danger-text-emphasis) !important}.text-light-emphasis{color:var(--bs-light-text-emphasis) !important}.text-dark-emphasis{color:var(--bs-dark-text-emphasis) !important}.link-opacity-10{--bs-link-opacity: .1}.link-opacity-10-hover:hover{--bs-link-opacity: .1}.link-opacity-25{--bs-link-opacity: .25}.link-opacity-25-hover:hover{--bs-link-opacity: .25}.link-opacity-50{--bs-link-opacity: .5}.link-opacity-50-hover:hover{--bs-link-opacity: .5}.link-opacity-75{--bs-link-opacity: .75}.link-opacity-75-hover:hover{--bs-link-opacity: .75}.link-opacity-100{--bs-link-opacity: 1}.link-opacity-100-hover:hover{--bs-link-opacity: 1}.link-offset-1{text-underline-offset:.125em !important}.link-offset-1-hover:hover{text-underline-offset:.125em !important}.link-offset-2{text-underline-offset:.25em !important}.link-offset-2-hover:hover{text-underline-offset:.25em !important}.link-offset-3{text-underline-offset:.375em !important}.link-offset-3-hover:hover{text-underline-offset:.375em !important}.link-underline-default{--bs-link-underline-opacity: 1;text-decoration-color:rgba(var(--bs-default-rgb), var(--bs-link-underline-opacity)) !important}.link-underline-primary{--bs-link-underline-opacity: 1;text-decoration-color:rgba(var(--bs-primary-rgb), var(--bs-link-underline-opacity)) !important}.link-underline-secondary{--bs-link-underline-opacity: 1;text-decoration-color:rgba(var(--bs-secondary-rgb), var(--bs-link-underline-opacity)) !important}.link-underline-success{--bs-link-underline-opacity: 1;text-decoration-color:rgba(var(--bs-success-rgb), var(--bs-link-underline-opacity)) !important}.link-underline-info{--bs-link-underline-opacity: 1;text-decoration-color:rgba(var(--bs-info-rgb), var(--bs-link-underline-opacity)) !important}.link-underline-warning{--bs-link-underline-opacity: 1;text-decoration-color:rgba(var(--bs-warning-rgb), var(--bs-link-underline-opacity)) !important}.link-underline-danger{--bs-link-underline-opacity: 1;text-decoration-color:rgba(var(--bs-danger-rgb), var(--bs-link-underline-opacity)) !important}.link-underline-light{--bs-link-underline-opacity: 1;text-decoration-color:rgba(var(--bs-light-rgb), var(--bs-link-underline-opacity)) !important}.link-underline-dark{--bs-link-underline-opacity: 1;text-decoration-color:rgba(var(--bs-dark-rgb), var(--bs-link-underline-opacity)) !important}.link-underline{--bs-link-underline-opacity: 1;text-decoration-color:rgba(var(--bs-link-color-rgb), var(--bs-link-underline-opacity, 1)) !important}.link-underline-opacity-0{--bs-link-underline-opacity: 0}.link-underline-opacity-0-hover:hover{--bs-link-underline-opacity: 0}.link-underline-opacity-10{--bs-link-underline-opacity: .1}.link-underline-opacity-10-hover:hover{--bs-link-underline-opacity: .1}.link-underline-opacity-25{--bs-link-underline-opacity: .25}.link-underline-opacity-25-hover:hover{--bs-link-underline-opacity: .25}.link-underline-opacity-50{--bs-link-underline-opacity: .5}.link-underline-opacity-50-hover:hover{--bs-link-underline-opacity: .5}.link-underline-opacity-75{--bs-link-underline-opacity: .75}.link-underline-opacity-75-hover:hover{--bs-link-underline-opacity: .75}.link-underline-opacity-100{--bs-link-underline-opacity: 1}.link-underline-opacity-100-hover:hover{--bs-link-underline-opacity: 1}.bg-default{--bs-bg-opacity: 1;background-color:rgba(var(--bs-default-rgb), var(--bs-bg-opacity)) !important}.bg-primary{--bs-bg-opacity: 1;background-color:rgba(var(--bs-primary-rgb), var(--bs-bg-opacity)) !important}.bg-secondary{--bs-bg-opacity: 1;background-color:rgba(var(--bs-secondary-rgb), var(--bs-bg-opacity)) !important}.bg-success{--bs-bg-opacity: 1;background-color:rgba(var(--bs-success-rgb), var(--bs-bg-opacity)) !important}.bg-info{--bs-bg-opacity: 1;background-color:rgba(var(--bs-info-rgb), var(--bs-bg-opacity)) !important}.bg-warning{--bs-bg-opacity: 1;background-color:rgba(var(--bs-warning-rgb), var(--bs-bg-opacity)) !important}.bg-danger{--bs-bg-opacity: 1;background-color:rgba(var(--bs-danger-rgb), var(--bs-bg-opacity)) !important}.bg-light{--bs-bg-opacity: 1;background-color:rgba(var(--bs-light-rgb), var(--bs-bg-opacity)) !important}.bg-dark{--bs-bg-opacity: 1;background-color:rgba(var(--bs-dark-rgb), var(--bs-bg-opacity)) !important}.bg-black{--bs-bg-opacity: 1;background-color:rgba(var(--bs-black-rgb), var(--bs-bg-opacity)) !important}.bg-white{--bs-bg-opacity: 1;background-color:rgba(var(--bs-white-rgb), var(--bs-bg-opacity)) !important}.bg-body{--bs-bg-opacity: 1;background-color:rgba(var(--bs-body-bg-rgb), var(--bs-bg-opacity)) !important}.bg-transparent{--bs-bg-opacity: 1;background-color:rgba(0,0,0,0) !important}.bg-body-secondary{--bs-bg-opacity: 1;background-color:rgba(var(--bs-secondary-bg-rgb), var(--bs-bg-opacity)) !important}.bg-body-tertiary{--bs-bg-opacity: 1;background-color:rgba(var(--bs-tertiary-bg-rgb), var(--bs-bg-opacity)) !important}.bg-opacity-10{--bs-bg-opacity: .1}.bg-opacity-25{--bs-bg-opacity: .25}.bg-opacity-50{--bs-bg-opacity: .5}.bg-opacity-75{--bs-bg-opacity: .75}.bg-opacity-100{--bs-bg-opacity: 1}.bg-primary-subtle{background-color:var(--bs-primary-bg-subtle) !important}.bg-secondary-subtle{background-color:var(--bs-secondary-bg-subtle) !important}.bg-success-subtle{background-color:var(--bs-success-bg-subtle) !important}.bg-info-subtle{background-color:var(--bs-info-bg-subtle) !important}.bg-warning-subtle{background-color:var(--bs-warning-bg-subtle) !important}.bg-danger-subtle{background-color:var(--bs-danger-bg-subtle) !important}.bg-light-subtle{background-color:var(--bs-light-bg-subtle) !important}.bg-dark-subtle{background-color:var(--bs-dark-bg-subtle) !important}.bg-gradient{background-image:var(--bs-gradient) !important}.user-select-all{user-select:all !important}.user-select-auto{user-select:auto !important}.user-select-none{user-select:none !important}.pe-none{pointer-events:none !important}.pe-auto{pointer-events:auto !important}.rounded{border-radius:var(--bs-border-radius) !important}.rounded-0{border-radius:0 !important}.rounded-1{border-radius:var(--bs-border-radius-sm) !important}.rounded-2{border-radius:var(--bs-border-radius) !important}.rounded-3{border-radius:var(--bs-border-radius-lg) !important}.rounded-4{border-radius:var(--bs-border-radius-xl) !important}.rounded-5{border-radius:var(--bs-border-radius-xxl) !important}.rounded-circle{border-radius:50% !important}.rounded-pill{border-radius:var(--bs-border-radius-pill) !important}.rounded-top{border-top-left-radius:var(--bs-border-radius) !important;border-top-right-radius:var(--bs-border-radius) !important}.rounded-top-0{border-top-left-radius:0 !important;border-top-right-radius:0 !important}.rounded-top-1{border-top-left-radius:var(--bs-border-radius-sm) !important;border-top-right-radius:var(--bs-border-radius-sm) !important}.rounded-top-2{border-top-left-radius:var(--bs-border-radius) !important;border-top-right-radius:var(--bs-border-radius) !important}.rounded-top-3{border-top-left-radius:var(--bs-border-radius-lg) !important;border-top-right-radius:var(--bs-border-radius-lg) !important}.rounded-top-4{border-top-left-radius:var(--bs-border-radius-xl) !important;border-top-right-radius:var(--bs-border-radius-xl) !important}.rounded-top-5{border-top-left-radius:var(--bs-border-radius-xxl) !important;border-top-right-radius:var(--bs-border-radius-xxl) !important}.rounded-top-circle{border-top-left-radius:50% !important;border-top-right-radius:50% !important}.rounded-top-pill{border-top-left-radius:var(--bs-border-radius-pill) !important;border-top-right-radius:var(--bs-border-radius-pill) !important}.rounded-end{border-top-right-radius:var(--bs-border-radius) !important;border-bottom-right-radius:var(--bs-border-radius) !important}.rounded-end-0{border-top-right-radius:0 !important;border-bottom-right-radius:0 !important}.rounded-end-1{border-top-right-radius:var(--bs-border-radius-sm) !important;border-bottom-right-radius:var(--bs-border-radius-sm) !important}.rounded-end-2{border-top-right-radius:var(--bs-border-radius) !important;border-bottom-right-radius:var(--bs-border-radius) !important}.rounded-end-3{border-top-right-radius:var(--bs-border-radius-lg) !important;border-bottom-right-radius:var(--bs-border-radius-lg) !important}.rounded-end-4{border-top-right-radius:var(--bs-border-radius-xl) !important;border-bottom-right-radius:var(--bs-border-radius-xl) !important}.rounded-end-5{border-top-right-radius:var(--bs-border-radius-xxl) !important;border-bottom-right-radius:var(--bs-border-radius-xxl) !important}.rounded-end-circle{border-top-right-radius:50% !important;border-bottom-right-radius:50% !important}.rounded-end-pill{border-top-right-radius:var(--bs-border-radius-pill) !important;border-bottom-right-radius:var(--bs-border-radius-pill) !important}.rounded-bottom{border-bottom-right-radius:var(--bs-border-radius) !important;border-bottom-left-radius:var(--bs-border-radius) !important}.rounded-bottom-0{border-bottom-right-radius:0 !important;border-bottom-left-radius:0 !important}.rounded-bottom-1{border-bottom-right-radius:var(--bs-border-radius-sm) !important;border-bottom-left-radius:var(--bs-border-radius-sm) !important}.rounded-bottom-2{border-bottom-right-radius:var(--bs-border-radius) !important;border-bottom-left-radius:var(--bs-border-radius) !important}.rounded-bottom-3{border-bottom-right-radius:var(--bs-border-radius-lg) !important;border-bottom-left-radius:var(--bs-border-radius-lg) !important}.rounded-bottom-4{border-bottom-right-radius:var(--bs-border-radius-xl) !important;border-bottom-left-radius:var(--bs-border-radius-xl) !important}.rounded-bottom-5{border-bottom-right-radius:var(--bs-border-radius-xxl) !important;border-bottom-left-radius:var(--bs-border-radius-xxl) !important}.rounded-bottom-circle{border-bottom-right-radius:50% !important;border-bottom-left-radius:50% !important}.rounded-bottom-pill{border-bottom-right-radius:var(--bs-border-radius-pill) !important;border-bottom-left-radius:var(--bs-border-radius-pill) !important}.rounded-start{border-bottom-left-radius:var(--bs-border-radius) !important;border-top-left-radius:var(--bs-border-radius) !important}.rounded-start-0{border-bottom-left-radius:0 !important;border-top-left-radius:0 !important}.rounded-start-1{border-bottom-left-radius:var(--bs-border-radius-sm) !important;border-top-left-radius:var(--bs-border-radius-sm) !important}.rounded-start-2{border-bottom-left-radius:var(--bs-border-radius) !important;border-top-left-radius:var(--bs-border-radius) !important}.rounded-start-3{border-bottom-left-radius:var(--bs-border-radius-lg) !important;border-top-left-radius:var(--bs-border-radius-lg) !important}.rounded-start-4{border-bottom-left-radius:var(--bs-border-radius-xl) !important;border-top-left-radius:var(--bs-border-radius-xl) !important}.rounded-start-5{border-bottom-left-radius:var(--bs-border-radius-xxl) !important;border-top-left-radius:var(--bs-border-radius-xxl) !important}.rounded-start-circle{border-bottom-left-radius:50% !important;border-top-left-radius:50% !important}.rounded-start-pill{border-bottom-left-radius:var(--bs-border-radius-pill) !important;border-top-left-radius:var(--bs-border-radius-pill) !important}.visible{visibility:visible !important}.invisible{visibility:hidden !important}.z-n1{z-index:-1 !important}.z-0{z-index:0 !important}.z-1{z-index:1 !important}.z-2{z-index:2 !important}.z-3{z-index:3 !important}@media (min-width: 576px){.float-sm-start{float:left !important}.float-sm-end{float:right !important}.float-sm-none{float:none !important}.object-fit-sm-contain{object-fit:contain !important}.object-fit-sm-cover{object-fit:cover !important}.object-fit-sm-fill{object-fit:fill !important}.object-fit-sm-scale{object-fit:scale-down !important}.object-fit-sm-none{object-fit:none !important}.d-sm-inline{display:inline !important}.d-sm-inline-block{display:inline-block !important}.d-sm-block{display:block !important}.d-sm-grid{display:grid !important}.d-sm-inline-grid{display:inline-grid !important}.d-sm-table{display:table !important}.d-sm-table-row{display:table-row !important}.d-sm-table-cell{display:table-cell !important}.d-sm-flex{display:flex !important}.d-sm-inline-flex{display:inline-flex !important}.d-sm-none{display:none !important}.flex-sm-fill{flex:1 1 auto !important}.flex-sm-row{flex-direction:row !important}.flex-sm-column{flex-direction:column !important}.flex-sm-row-reverse{flex-direction:row-reverse !important}.flex-sm-column-reverse{flex-direction:column-reverse !important}.flex-sm-grow-0{flex-grow:0 !important}.flex-sm-grow-1{flex-grow:1 !important}.flex-sm-shrink-0{flex-shrink:0 !important}.flex-sm-shrink-1{flex-shrink:1 !important}.flex-sm-wrap{flex-wrap:wrap !important}.flex-sm-nowrap{flex-wrap:nowrap !important}.flex-sm-wrap-reverse{flex-wrap:wrap-reverse !important}.justify-content-sm-start{justify-content:flex-start !important}.justify-content-sm-end{justify-content:flex-end !important}.justify-content-sm-center{justify-content:center !important}.justify-content-sm-between{justify-content:space-between !important}.justify-content-sm-around{justify-content:space-around !important}.justify-content-sm-evenly{justify-content:space-evenly !important}.align-items-sm-start{align-items:flex-start !important}.align-items-sm-end{align-items:flex-end !important}.align-items-sm-center{align-items:center !important}.align-items-sm-baseline{align-items:baseline !important}.align-items-sm-stretch{align-items:stretch !important}.align-content-sm-start{align-content:flex-start !important}.align-content-sm-end{align-content:flex-end !important}.align-content-sm-center{align-content:center !important}.align-content-sm-between{align-content:space-between !important}.align-content-sm-around{align-content:space-around !important}.align-content-sm-stretch{align-content:stretch !important}.align-self-sm-auto{align-self:auto !important}.align-self-sm-start{align-self:flex-start !important}.align-self-sm-end{align-self:flex-end !important}.align-self-sm-center{align-self:center !important}.align-self-sm-baseline{align-self:baseline !important}.align-self-sm-stretch{align-self:stretch !important}.order-sm-first{order:-1 !important}.order-sm-0{order:0 !important}.order-sm-1{order:1 !important}.order-sm-2{order:2 !important}.order-sm-3{order:3 !important}.order-sm-4{order:4 !important}.order-sm-5{order:5 !important}.order-sm-last{order:6 !important}.m-sm-0{margin:0 !important}.m-sm-1{margin:.25rem !important}.m-sm-2{margin:.5rem !important}.m-sm-3{margin:1rem !important}.m-sm-4{margin:1.5rem !important}.m-sm-5{margin:3rem !important}.m-sm-auto{margin:auto !important}.mx-sm-0{margin-right:0 !important;margin-left:0 !important}.mx-sm-1{margin-right:.25rem !important;margin-left:.25rem !important}.mx-sm-2{margin-right:.5rem !important;margin-left:.5rem !important}.mx-sm-3{margin-right:1rem !important;margin-left:1rem !important}.mx-sm-4{margin-right:1.5rem !important;margin-left:1.5rem !important}.mx-sm-5{margin-right:3rem !important;margin-left:3rem !important}.mx-sm-auto{margin-right:auto !important;margin-left:auto !important}.my-sm-0{margin-top:0 !important;margin-bottom:0 !important}.my-sm-1{margin-top:.25rem !important;margin-bottom:.25rem !important}.my-sm-2{margin-top:.5rem !important;margin-bottom:.5rem !important}.my-sm-3{margin-top:1rem !important;margin-bottom:1rem !important}.my-sm-4{margin-top:1.5rem !important;margin-bottom:1.5rem !important}.my-sm-5{margin-top:3rem !important;margin-bottom:3rem !important}.my-sm-auto{margin-top:auto !important;margin-bottom:auto !important}.mt-sm-0{margin-top:0 !important}.mt-sm-1{margin-top:.25rem !important}.mt-sm-2{margin-top:.5rem !important}.mt-sm-3{margin-top:1rem !important}.mt-sm-4{margin-top:1.5rem !important}.mt-sm-5{margin-top:3rem !important}.mt-sm-auto{margin-top:auto !important}.me-sm-0{margin-right:0 !important}.me-sm-1{margin-right:.25rem !important}.me-sm-2{margin-right:.5rem !important}.me-sm-3{margin-right:1rem !important}.me-sm-4{margin-right:1.5rem !important}.me-sm-5{margin-right:3rem !important}.me-sm-auto{margin-right:auto !important}.mb-sm-0{margin-bottom:0 !important}.mb-sm-1{margin-bottom:.25rem !important}.mb-sm-2{margin-bottom:.5rem !important}.mb-sm-3{margin-bottom:1rem !important}.mb-sm-4{margin-bottom:1.5rem !important}.mb-sm-5{margin-bottom:3rem !important}.mb-sm-auto{margin-bottom:auto !important}.ms-sm-0{margin-left:0 !important}.ms-sm-1{margin-left:.25rem !important}.ms-sm-2{margin-left:.5rem !important}.ms-sm-3{margin-left:1rem !important}.ms-sm-4{margin-left:1.5rem !important}.ms-sm-5{margin-left:3rem !important}.ms-sm-auto{margin-left:auto !important}.p-sm-0{padding:0 !important}.p-sm-1{padding:.25rem !important}.p-sm-2{padding:.5rem !important}.p-sm-3{padding:1rem !important}.p-sm-4{padding:1.5rem !important}.p-sm-5{padding:3rem !important}.px-sm-0{padding-right:0 !important;padding-left:0 !important}.px-sm-1{padding-right:.25rem !important;padding-left:.25rem !important}.px-sm-2{padding-right:.5rem !important;padding-left:.5rem !important}.px-sm-3{padding-right:1rem !important;padding-left:1rem !important}.px-sm-4{padding-right:1.5rem !important;padding-left:1.5rem !important}.px-sm-5{padding-right:3rem !important;padding-left:3rem !important}.py-sm-0{padding-top:0 !important;padding-bottom:0 !important}.py-sm-1{padding-top:.25rem !important;padding-bottom:.25rem !important}.py-sm-2{padding-top:.5rem !important;padding-bottom:.5rem !important}.py-sm-3{padding-top:1rem !important;padding-bottom:1rem !important}.py-sm-4{padding-top:1.5rem !important;padding-bottom:1.5rem !important}.py-sm-5{padding-top:3rem !important;padding-bottom:3rem !important}.pt-sm-0{padding-top:0 !important}.pt-sm-1{padding-top:.25rem !important}.pt-sm-2{padding-top:.5rem !important}.pt-sm-3{padding-top:1rem !important}.pt-sm-4{padding-top:1.5rem !important}.pt-sm-5{padding-top:3rem !important}.pe-sm-0{padding-right:0 !important}.pe-sm-1{padding-right:.25rem !important}.pe-sm-2{padding-right:.5rem !important}.pe-sm-3{padding-right:1rem !important}.pe-sm-4{padding-right:1.5rem !important}.pe-sm-5{padding-right:3rem !important}.pb-sm-0{padding-bottom:0 !important}.pb-sm-1{padding-bottom:.25rem !important}.pb-sm-2{padding-bottom:.5rem !important}.pb-sm-3{padding-bottom:1rem !important}.pb-sm-4{padding-bottom:1.5rem !important}.pb-sm-5{padding-bottom:3rem !important}.ps-sm-0{padding-left:0 !important}.ps-sm-1{padding-left:.25rem !important}.ps-sm-2{padding-left:.5rem !important}.ps-sm-3{padding-left:1rem !important}.ps-sm-4{padding-left:1.5rem !important}.ps-sm-5{padding-left:3rem !important}.gap-sm-0{gap:0 !important}.gap-sm-1{gap:.25rem !important}.gap-sm-2{gap:.5rem !important}.gap-sm-3{gap:1rem !important}.gap-sm-4{gap:1.5rem !important}.gap-sm-5{gap:3rem !important}.row-gap-sm-0{row-gap:0 !important}.row-gap-sm-1{row-gap:.25rem !important}.row-gap-sm-2{row-gap:.5rem !important}.row-gap-sm-3{row-gap:1rem !important}.row-gap-sm-4{row-gap:1.5rem !important}.row-gap-sm-5{row-gap:3rem !important}.column-gap-sm-0{column-gap:0 !important}.column-gap-sm-1{column-gap:.25rem !important}.column-gap-sm-2{column-gap:.5rem !important}.column-gap-sm-3{column-gap:1rem !important}.column-gap-sm-4{column-gap:1.5rem !important}.column-gap-sm-5{column-gap:3rem !important}.text-sm-start{text-align:left !important}.text-sm-end{text-align:right !important}.text-sm-center{text-align:center !important}}@media (min-width: 768px){.float-md-start{float:left !important}.float-md-end{float:right !important}.float-md-none{float:none !important}.object-fit-md-contain{object-fit:contain !important}.object-fit-md-cover{object-fit:cover !important}.object-fit-md-fill{object-fit:fill !important}.object-fit-md-scale{object-fit:scale-down !important}.object-fit-md-none{object-fit:none !important}.d-md-inline{display:inline !important}.d-md-inline-block{display:inline-block !important}.d-md-block{display:block !important}.d-md-grid{display:grid !important}.d-md-inline-grid{display:inline-grid !important}.d-md-table{display:table !important}.d-md-table-row{display:table-row !important}.d-md-table-cell{display:table-cell !important}.d-md-flex{display:flex !important}.d-md-inline-flex{display:inline-flex !important}.d-md-none{display:none !important}.flex-md-fill{flex:1 1 auto !important}.flex-md-row{flex-direction:row !important}.flex-md-column{flex-direction:column !important}.flex-md-row-reverse{flex-direction:row-reverse !important}.flex-md-column-reverse{flex-direction:column-reverse !important}.flex-md-grow-0{flex-grow:0 !important}.flex-md-grow-1{flex-grow:1 !important}.flex-md-shrink-0{flex-shrink:0 !important}.flex-md-shrink-1{flex-shrink:1 !important}.flex-md-wrap{flex-wrap:wrap !important}.flex-md-nowrap{flex-wrap:nowrap !important}.flex-md-wrap-reverse{flex-wrap:wrap-reverse !important}.justify-content-md-start{justify-content:flex-start !important}.justify-content-md-end{justify-content:flex-end !important}.justify-content-md-center{justify-content:center !important}.justify-content-md-between{justify-content:space-between !important}.justify-content-md-around{justify-content:space-around !important}.justify-content-md-evenly{justify-content:space-evenly !important}.align-items-md-start{align-items:flex-start !important}.align-items-md-end{align-items:flex-end !important}.align-items-md-center{align-items:center !important}.align-items-md-baseline{align-items:baseline !important}.align-items-md-stretch{align-items:stretch !important}.align-content-md-start{align-content:flex-start !important}.align-content-md-end{align-content:flex-end !important}.align-content-md-center{align-content:center !important}.align-content-md-between{align-content:space-between !important}.align-content-md-around{align-content:space-around !important}.align-content-md-stretch{align-content:stretch !important}.align-self-md-auto{align-self:auto !important}.align-self-md-start{align-self:flex-start !important}.align-self-md-end{align-self:flex-end !important}.align-self-md-center{align-self:center !important}.align-self-md-baseline{align-self:baseline !important}.align-self-md-stretch{align-self:stretch !important}.order-md-first{order:-1 !important}.order-md-0{order:0 !important}.order-md-1{order:1 !important}.order-md-2{order:2 !important}.order-md-3{order:3 !important}.order-md-4{order:4 !important}.order-md-5{order:5 !important}.order-md-last{order:6 !important}.m-md-0{margin:0 !important}.m-md-1{margin:.25rem !important}.m-md-2{margin:.5rem !important}.m-md-3{margin:1rem !important}.m-md-4{margin:1.5rem !important}.m-md-5{margin:3rem !important}.m-md-auto{margin:auto !important}.mx-md-0{margin-right:0 !important;margin-left:0 !important}.mx-md-1{margin-right:.25rem !important;margin-left:.25rem !important}.mx-md-2{margin-right:.5rem !important;margin-left:.5rem !important}.mx-md-3{margin-right:1rem !important;margin-left:1rem !important}.mx-md-4{margin-right:1.5rem !important;margin-left:1.5rem !important}.mx-md-5{margin-right:3rem !important;margin-left:3rem !important}.mx-md-auto{margin-right:auto !important;margin-left:auto !important}.my-md-0{margin-top:0 !important;margin-bottom:0 !important}.my-md-1{margin-top:.25rem !important;margin-bottom:.25rem !important}.my-md-2{margin-top:.5rem !important;margin-bottom:.5rem !important}.my-md-3{margin-top:1rem !important;margin-bottom:1rem !important}.my-md-4{margin-top:1.5rem !important;margin-bottom:1.5rem !important}.my-md-5{margin-top:3rem !important;margin-bottom:3rem !important}.my-md-auto{margin-top:auto !important;margin-bottom:auto !important}.mt-md-0{margin-top:0 !important}.mt-md-1{margin-top:.25rem !important}.mt-md-2{margin-top:.5rem !important}.mt-md-3{margin-top:1rem !important}.mt-md-4{margin-top:1.5rem !important}.mt-md-5{margin-top:3rem !important}.mt-md-auto{margin-top:auto !important}.me-md-0{margin-right:0 !important}.me-md-1{margin-right:.25rem !important}.me-md-2{margin-right:.5rem !important}.me-md-3{margin-right:1rem !important}.me-md-4{margin-right:1.5rem !important}.me-md-5{margin-right:3rem !important}.me-md-auto{margin-right:auto !important}.mb-md-0{margin-bottom:0 !important}.mb-md-1{margin-bottom:.25rem !important}.mb-md-2{margin-bottom:.5rem !important}.mb-md-3{margin-bottom:1rem !important}.mb-md-4{margin-bottom:1.5rem !important}.mb-md-5{margin-bottom:3rem !important}.mb-md-auto{margin-bottom:auto !important}.ms-md-0{margin-left:0 !important}.ms-md-1{margin-left:.25rem !important}.ms-md-2{margin-left:.5rem !important}.ms-md-3{margin-left:1rem !important}.ms-md-4{margin-left:1.5rem !important}.ms-md-5{margin-left:3rem !important}.ms-md-auto{margin-left:auto !important}.p-md-0{padding:0 !important}.p-md-1{padding:.25rem !important}.p-md-2{padding:.5rem !important}.p-md-3{padding:1rem !important}.p-md-4{padding:1.5rem !important}.p-md-5{padding:3rem !important}.px-md-0{padding-right:0 !important;padding-left:0 !important}.px-md-1{padding-right:.25rem !important;padding-left:.25rem !important}.px-md-2{padding-right:.5rem !important;padding-left:.5rem !important}.px-md-3{padding-right:1rem !important;padding-left:1rem !important}.px-md-4{padding-right:1.5rem !important;padding-left:1.5rem !important}.px-md-5{padding-right:3rem !important;padding-left:3rem !important}.py-md-0{padding-top:0 !important;padding-bottom:0 !important}.py-md-1{padding-top:.25rem !important;padding-bottom:.25rem !important}.py-md-2{padding-top:.5rem !important;padding-bottom:.5rem !important}.py-md-3{padding-top:1rem !important;padding-bottom:1rem !important}.py-md-4{padding-top:1.5rem !important;padding-bottom:1.5rem !important}.py-md-5{padding-top:3rem !important;padding-bottom:3rem !important}.pt-md-0{padding-top:0 !important}.pt-md-1{padding-top:.25rem !important}.pt-md-2{padding-top:.5rem !important}.pt-md-3{padding-top:1rem !important}.pt-md-4{padding-top:1.5rem !important}.pt-md-5{padding-top:3rem !important}.pe-md-0{padding-right:0 !important}.pe-md-1{padding-right:.25rem !important}.pe-md-2{padding-right:.5rem !important}.pe-md-3{padding-right:1rem !important}.pe-md-4{padding-right:1.5rem !important}.pe-md-5{padding-right:3rem !important}.pb-md-0{padding-bottom:0 !important}.pb-md-1{padding-bottom:.25rem !important}.pb-md-2{padding-bottom:.5rem !important}.pb-md-3{padding-bottom:1rem !important}.pb-md-4{padding-bottom:1.5rem !important}.pb-md-5{padding-bottom:3rem !important}.ps-md-0{padding-left:0 !important}.ps-md-1{padding-left:.25rem !important}.ps-md-2{padding-left:.5rem !important}.ps-md-3{padding-left:1rem !important}.ps-md-4{padding-left:1.5rem !important}.ps-md-5{padding-left:3rem !important}.gap-md-0{gap:0 !important}.gap-md-1{gap:.25rem !important}.gap-md-2{gap:.5rem !important}.gap-md-3{gap:1rem !important}.gap-md-4{gap:1.5rem !important}.gap-md-5{gap:3rem !important}.row-gap-md-0{row-gap:0 !important}.row-gap-md-1{row-gap:.25rem !important}.row-gap-md-2{row-gap:.5rem !important}.row-gap-md-3{row-gap:1rem !important}.row-gap-md-4{row-gap:1.5rem !important}.row-gap-md-5{row-gap:3rem !important}.column-gap-md-0{column-gap:0 !important}.column-gap-md-1{column-gap:.25rem !important}.column-gap-md-2{column-gap:.5rem !important}.column-gap-md-3{column-gap:1rem !important}.column-gap-md-4{column-gap:1.5rem !important}.column-gap-md-5{column-gap:3rem !important}.text-md-start{text-align:left !important}.text-md-end{text-align:right !important}.text-md-center{text-align:center !important}}@media (min-width: 992px){.float-lg-start{float:left !important}.float-lg-end{float:right !important}.float-lg-none{float:none !important}.object-fit-lg-contain{object-fit:contain !important}.object-fit-lg-cover{object-fit:cover !important}.object-fit-lg-fill{object-fit:fill !important}.object-fit-lg-scale{object-fit:scale-down !important}.object-fit-lg-none{object-fit:none !important}.d-lg-inline{display:inline !important}.d-lg-inline-block{display:inline-block !important}.d-lg-block{display:block !important}.d-lg-grid{display:grid !important}.d-lg-inline-grid{display:inline-grid !important}.d-lg-table{display:table !important}.d-lg-table-row{display:table-row !important}.d-lg-table-cell{display:table-cell !important}.d-lg-flex{display:flex !important}.d-lg-inline-flex{display:inline-flex !important}.d-lg-none{display:none !important}.flex-lg-fill{flex:1 1 auto !important}.flex-lg-row{flex-direction:row !important}.flex-lg-column{flex-direction:column !important}.flex-lg-row-reverse{flex-direction:row-reverse !important}.flex-lg-column-reverse{flex-direction:column-reverse !important}.flex-lg-grow-0{flex-grow:0 !important}.flex-lg-grow-1{flex-grow:1 !important}.flex-lg-shrink-0{flex-shrink:0 !important}.flex-lg-shrink-1{flex-shrink:1 !important}.flex-lg-wrap{flex-wrap:wrap !important}.flex-lg-nowrap{flex-wrap:nowrap !important}.flex-lg-wrap-reverse{flex-wrap:wrap-reverse !important}.justify-content-lg-start{justify-content:flex-start !important}.justify-content-lg-end{justify-content:flex-end !important}.justify-content-lg-center{justify-content:center !important}.justify-content-lg-between{justify-content:space-between !important}.justify-content-lg-around{justify-content:space-around !important}.justify-content-lg-evenly{justify-content:space-evenly !important}.align-items-lg-start{align-items:flex-start !important}.align-items-lg-end{align-items:flex-end !important}.align-items-lg-center{align-items:center !important}.align-items-lg-baseline{align-items:baseline !important}.align-items-lg-stretch{align-items:stretch !important}.align-content-lg-start{align-content:flex-start !important}.align-content-lg-end{align-content:flex-end !important}.align-content-lg-center{align-content:center !important}.align-content-lg-between{align-content:space-between !important}.align-content-lg-around{align-content:space-around !important}.align-content-lg-stretch{align-content:stretch !important}.align-self-lg-auto{align-self:auto !important}.align-self-lg-start{align-self:flex-start !important}.align-self-lg-end{align-self:flex-end !important}.align-self-lg-center{align-self:center !important}.align-self-lg-baseline{align-self:baseline !important}.align-self-lg-stretch{align-self:stretch !important}.order-lg-first{order:-1 !important}.order-lg-0{order:0 !important}.order-lg-1{order:1 !important}.order-lg-2{order:2 !important}.order-lg-3{order:3 !important}.order-lg-4{order:4 !important}.order-lg-5{order:5 !important}.order-lg-last{order:6 !important}.m-lg-0{margin:0 !important}.m-lg-1{margin:.25rem !important}.m-lg-2{margin:.5rem !important}.m-lg-3{margin:1rem !important}.m-lg-4{margin:1.5rem !important}.m-lg-5{margin:3rem !important}.m-lg-auto{margin:auto !important}.mx-lg-0{margin-right:0 !important;margin-left:0 !important}.mx-lg-1{margin-right:.25rem !important;margin-left:.25rem !important}.mx-lg-2{margin-right:.5rem !important;margin-left:.5rem !important}.mx-lg-3{margin-right:1rem !important;margin-left:1rem !important}.mx-lg-4{margin-right:1.5rem !important;margin-left:1.5rem !important}.mx-lg-5{margin-right:3rem !important;margin-left:3rem !important}.mx-lg-auto{margin-right:auto !important;margin-left:auto !important}.my-lg-0{margin-top:0 !important;margin-bottom:0 !important}.my-lg-1{margin-top:.25rem !important;margin-bottom:.25rem !important}.my-lg-2{margin-top:.5rem !important;margin-bottom:.5rem !important}.my-lg-3{margin-top:1rem !important;margin-bottom:1rem !important}.my-lg-4{margin-top:1.5rem !important;margin-bottom:1.5rem !important}.my-lg-5{margin-top:3rem !important;margin-bottom:3rem !important}.my-lg-auto{margin-top:auto !important;margin-bottom:auto !important}.mt-lg-0{margin-top:0 !important}.mt-lg-1{margin-top:.25rem !important}.mt-lg-2{margin-top:.5rem !important}.mt-lg-3{margin-top:1rem !important}.mt-lg-4{margin-top:1.5rem !important}.mt-lg-5{margin-top:3rem !important}.mt-lg-auto{margin-top:auto !important}.me-lg-0{margin-right:0 !important}.me-lg-1{margin-right:.25rem !important}.me-lg-2{margin-right:.5rem !important}.me-lg-3{margin-right:1rem !important}.me-lg-4{margin-right:1.5rem !important}.me-lg-5{margin-right:3rem !important}.me-lg-auto{margin-right:auto !important}.mb-lg-0{margin-bottom:0 !important}.mb-lg-1{margin-bottom:.25rem !important}.mb-lg-2{margin-bottom:.5rem !important}.mb-lg-3{margin-bottom:1rem !important}.mb-lg-4{margin-bottom:1.5rem !important}.mb-lg-5{margin-bottom:3rem !important}.mb-lg-auto{margin-bottom:auto !important}.ms-lg-0{margin-left:0 !important}.ms-lg-1{margin-left:.25rem !important}.ms-lg-2{margin-left:.5rem !important}.ms-lg-3{margin-left:1rem !important}.ms-lg-4{margin-left:1.5rem !important}.ms-lg-5{margin-left:3rem !important}.ms-lg-auto{margin-left:auto !important}.p-lg-0{padding:0 !important}.p-lg-1{padding:.25rem !important}.p-lg-2{padding:.5rem !important}.p-lg-3{padding:1rem !important}.p-lg-4{padding:1.5rem !important}.p-lg-5{padding:3rem !important}.px-lg-0{padding-right:0 !important;padding-left:0 !important}.px-lg-1{padding-right:.25rem !important;padding-left:.25rem !important}.px-lg-2{padding-right:.5rem !important;padding-left:.5rem !important}.px-lg-3{padding-right:1rem !important;padding-left:1rem !important}.px-lg-4{padding-right:1.5rem !important;padding-left:1.5rem !important}.px-lg-5{padding-right:3rem !important;padding-left:3rem !important}.py-lg-0{padding-top:0 !important;padding-bottom:0 !important}.py-lg-1{padding-top:.25rem !important;padding-bottom:.25rem !important}.py-lg-2{padding-top:.5rem !important;padding-bottom:.5rem !important}.py-lg-3{padding-top:1rem !important;padding-bottom:1rem !important}.py-lg-4{padding-top:1.5rem !important;padding-bottom:1.5rem !important}.py-lg-5{padding-top:3rem !important;padding-bottom:3rem !important}.pt-lg-0{padding-top:0 !important}.pt-lg-1{padding-top:.25rem !important}.pt-lg-2{padding-top:.5rem !important}.pt-lg-3{padding-top:1rem !important}.pt-lg-4{padding-top:1.5rem !important}.pt-lg-5{padding-top:3rem !important}.pe-lg-0{padding-right:0 !important}.pe-lg-1{padding-right:.25rem !important}.pe-lg-2{padding-right:.5rem !important}.pe-lg-3{padding-right:1rem !important}.pe-lg-4{padding-right:1.5rem !important}.pe-lg-5{padding-right:3rem !important}.pb-lg-0{padding-bottom:0 !important}.pb-lg-1{padding-bottom:.25rem !important}.pb-lg-2{padding-bottom:.5rem !important}.pb-lg-3{padding-bottom:1rem !important}.pb-lg-4{padding-bottom:1.5rem !important}.pb-lg-5{padding-bottom:3rem !important}.ps-lg-0{padding-left:0 !important}.ps-lg-1{padding-left:.25rem !important}.ps-lg-2{padding-left:.5rem !important}.ps-lg-3{padding-left:1rem !important}.ps-lg-4{padding-left:1.5rem !important}.ps-lg-5{padding-left:3rem !important}.gap-lg-0{gap:0 !important}.gap-lg-1{gap:.25rem !important}.gap-lg-2{gap:.5rem !important}.gap-lg-3{gap:1rem !important}.gap-lg-4{gap:1.5rem !important}.gap-lg-5{gap:3rem !important}.row-gap-lg-0{row-gap:0 !important}.row-gap-lg-1{row-gap:.25rem !important}.row-gap-lg-2{row-gap:.5rem !important}.row-gap-lg-3{row-gap:1rem !important}.row-gap-lg-4{row-gap:1.5rem !important}.row-gap-lg-5{row-gap:3rem !important}.column-gap-lg-0{column-gap:0 !important}.column-gap-lg-1{column-gap:.25rem !important}.column-gap-lg-2{column-gap:.5rem !important}.column-gap-lg-3{column-gap:1rem !important}.column-gap-lg-4{column-gap:1.5rem !important}.column-gap-lg-5{column-gap:3rem !important}.text-lg-start{text-align:left !important}.text-lg-end{text-align:right !important}.text-lg-center{text-align:center !important}}@media (min-width: 1200px){.float-xl-start{float:left !important}.float-xl-end{float:right !important}.float-xl-none{float:none !important}.object-fit-xl-contain{object-fit:contain !important}.object-fit-xl-cover{object-fit:cover !important}.object-fit-xl-fill{object-fit:fill !important}.object-fit-xl-scale{object-fit:scale-down !important}.object-fit-xl-none{object-fit:none !important}.d-xl-inline{display:inline !important}.d-xl-inline-block{display:inline-block !important}.d-xl-block{display:block !important}.d-xl-grid{display:grid !important}.d-xl-inline-grid{display:inline-grid !important}.d-xl-table{display:table !important}.d-xl-table-row{display:table-row !important}.d-xl-table-cell{display:table-cell !important}.d-xl-flex{display:flex !important}.d-xl-inline-flex{display:inline-flex !important}.d-xl-none{display:none !important}.flex-xl-fill{flex:1 1 auto !important}.flex-xl-row{flex-direction:row !important}.flex-xl-column{flex-direction:column !important}.flex-xl-row-reverse{flex-direction:row-reverse !important}.flex-xl-column-reverse{flex-direction:column-reverse !important}.flex-xl-grow-0{flex-grow:0 !important}.flex-xl-grow-1{flex-grow:1 !important}.flex-xl-shrink-0{flex-shrink:0 !important}.flex-xl-shrink-1{flex-shrink:1 !important}.flex-xl-wrap{flex-wrap:wrap !important}.flex-xl-nowrap{flex-wrap:nowrap !important}.flex-xl-wrap-reverse{flex-wrap:wrap-reverse !important}.justify-content-xl-start{justify-content:flex-start !important}.justify-content-xl-end{justify-content:flex-end !important}.justify-content-xl-center{justify-content:center !important}.justify-content-xl-between{justify-content:space-between !important}.justify-content-xl-around{justify-content:space-around !important}.justify-content-xl-evenly{justify-content:space-evenly !important}.align-items-xl-start{align-items:flex-start !important}.align-items-xl-end{align-items:flex-end !important}.align-items-xl-center{align-items:center !important}.align-items-xl-baseline{align-items:baseline !important}.align-items-xl-stretch{align-items:stretch !important}.align-content-xl-start{align-content:flex-start !important}.align-content-xl-end{align-content:flex-end !important}.align-content-xl-center{align-content:center !important}.align-content-xl-between{align-content:space-between !important}.align-content-xl-around{align-content:space-around !important}.align-content-xl-stretch{align-content:stretch !important}.align-self-xl-auto{align-self:auto !important}.align-self-xl-start{align-self:flex-start !important}.align-self-xl-end{align-self:flex-end !important}.align-self-xl-center{align-self:center !important}.align-self-xl-baseline{align-self:baseline !important}.align-self-xl-stretch{align-self:stretch !important}.order-xl-first{order:-1 !important}.order-xl-0{order:0 !important}.order-xl-1{order:1 !important}.order-xl-2{order:2 !important}.order-xl-3{order:3 !important}.order-xl-4{order:4 !important}.order-xl-5{order:5 !important}.order-xl-last{order:6 !important}.m-xl-0{margin:0 !important}.m-xl-1{margin:.25rem !important}.m-xl-2{margin:.5rem !important}.m-xl-3{margin:1rem !important}.m-xl-4{margin:1.5rem !important}.m-xl-5{margin:3rem !important}.m-xl-auto{margin:auto !important}.mx-xl-0{margin-right:0 !important;margin-left:0 !important}.mx-xl-1{margin-right:.25rem !important;margin-left:.25rem !important}.mx-xl-2{margin-right:.5rem !important;margin-left:.5rem !important}.mx-xl-3{margin-right:1rem !important;margin-left:1rem !important}.mx-xl-4{margin-right:1.5rem !important;margin-left:1.5rem !important}.mx-xl-5{margin-right:3rem !important;margin-left:3rem !important}.mx-xl-auto{margin-right:auto !important;margin-left:auto !important}.my-xl-0{margin-top:0 !important;margin-bottom:0 !important}.my-xl-1{margin-top:.25rem !important;margin-bottom:.25rem !important}.my-xl-2{margin-top:.5rem !important;margin-bottom:.5rem !important}.my-xl-3{margin-top:1rem !important;margin-bottom:1rem !important}.my-xl-4{margin-top:1.5rem !important;margin-bottom:1.5rem !important}.my-xl-5{margin-top:3rem !important;margin-bottom:3rem !important}.my-xl-auto{margin-top:auto !important;margin-bottom:auto !important}.mt-xl-0{margin-top:0 !important}.mt-xl-1{margin-top:.25rem !important}.mt-xl-2{margin-top:.5rem !important}.mt-xl-3{margin-top:1rem !important}.mt-xl-4{margin-top:1.5rem !important}.mt-xl-5{margin-top:3rem !important}.mt-xl-auto{margin-top:auto !important}.me-xl-0{margin-right:0 !important}.me-xl-1{margin-right:.25rem !important}.me-xl-2{margin-right:.5rem !important}.me-xl-3{margin-right:1rem !important}.me-xl-4{margin-right:1.5rem !important}.me-xl-5{margin-right:3rem !important}.me-xl-auto{margin-right:auto !important}.mb-xl-0{margin-bottom:0 !important}.mb-xl-1{margin-bottom:.25rem !important}.mb-xl-2{margin-bottom:.5rem !important}.mb-xl-3{margin-bottom:1rem !important}.mb-xl-4{margin-bottom:1.5rem !important}.mb-xl-5{margin-bottom:3rem !important}.mb-xl-auto{margin-bottom:auto !important}.ms-xl-0{margin-left:0 !important}.ms-xl-1{margin-left:.25rem !important}.ms-xl-2{margin-left:.5rem !important}.ms-xl-3{margin-left:1rem !important}.ms-xl-4{margin-left:1.5rem !important}.ms-xl-5{margin-left:3rem !important}.ms-xl-auto{margin-left:auto !important}.p-xl-0{padding:0 !important}.p-xl-1{padding:.25rem !important}.p-xl-2{padding:.5rem !important}.p-xl-3{padding:1rem !important}.p-xl-4{padding:1.5rem !important}.p-xl-5{padding:3rem !important}.px-xl-0{padding-right:0 !important;padding-left:0 !important}.px-xl-1{padding-right:.25rem !important;padding-left:.25rem !important}.px-xl-2{padding-right:.5rem !important;padding-left:.5rem !important}.px-xl-3{padding-right:1rem !important;padding-left:1rem !important}.px-xl-4{padding-right:1.5rem !important;padding-left:1.5rem !important}.px-xl-5{padding-right:3rem !important;padding-left:3rem !important}.py-xl-0{padding-top:0 !important;padding-bottom:0 !important}.py-xl-1{padding-top:.25rem !important;padding-bottom:.25rem !important}.py-xl-2{padding-top:.5rem !important;padding-bottom:.5rem !important}.py-xl-3{padding-top:1rem !important;padding-bottom:1rem !important}.py-xl-4{padding-top:1.5rem !important;padding-bottom:1.5rem !important}.py-xl-5{padding-top:3rem !important;padding-bottom:3rem !important}.pt-xl-0{padding-top:0 !important}.pt-xl-1{padding-top:.25rem !important}.pt-xl-2{padding-top:.5rem !important}.pt-xl-3{padding-top:1rem !important}.pt-xl-4{padding-top:1.5rem !important}.pt-xl-5{padding-top:3rem !important}.pe-xl-0{padding-right:0 !important}.pe-xl-1{padding-right:.25rem !important}.pe-xl-2{padding-right:.5rem !important}.pe-xl-3{padding-right:1rem !important}.pe-xl-4{padding-right:1.5rem !important}.pe-xl-5{padding-right:3rem !important}.pb-xl-0{padding-bottom:0 !important}.pb-xl-1{padding-bottom:.25rem !important}.pb-xl-2{padding-bottom:.5rem !important}.pb-xl-3{padding-bottom:1rem !important}.pb-xl-4{padding-bottom:1.5rem !important}.pb-xl-5{padding-bottom:3rem !important}.ps-xl-0{padding-left:0 !important}.ps-xl-1{padding-left:.25rem !important}.ps-xl-2{padding-left:.5rem !important}.ps-xl-3{padding-left:1rem !important}.ps-xl-4{padding-left:1.5rem !important}.ps-xl-5{padding-left:3rem !important}.gap-xl-0{gap:0 !important}.gap-xl-1{gap:.25rem !important}.gap-xl-2{gap:.5rem !important}.gap-xl-3{gap:1rem !important}.gap-xl-4{gap:1.5rem !important}.gap-xl-5{gap:3rem !important}.row-gap-xl-0{row-gap:0 !important}.row-gap-xl-1{row-gap:.25rem !important}.row-gap-xl-2{row-gap:.5rem !important}.row-gap-xl-3{row-gap:1rem !important}.row-gap-xl-4{row-gap:1.5rem !important}.row-gap-xl-5{row-gap:3rem !important}.column-gap-xl-0{column-gap:0 !important}.column-gap-xl-1{column-gap:.25rem !important}.column-gap-xl-2{column-gap:.5rem !important}.column-gap-xl-3{column-gap:1rem !important}.column-gap-xl-4{column-gap:1.5rem !important}.column-gap-xl-5{column-gap:3rem !important}.text-xl-start{text-align:left !important}.text-xl-end{text-align:right !important}.text-xl-center{text-align:center !important}}@media (min-width: 1400px){.float-xxl-start{float:left !important}.float-xxl-end{float:right !important}.float-xxl-none{float:none !important}.object-fit-xxl-contain{object-fit:contain !important}.object-fit-xxl-cover{object-fit:cover !important}.object-fit-xxl-fill{object-fit:fill !important}.object-fit-xxl-scale{object-fit:scale-down !important}.object-fit-xxl-none{object-fit:none !important}.d-xxl-inline{display:inline !important}.d-xxl-inline-block{display:inline-block !important}.d-xxl-block{display:block !important}.d-xxl-grid{display:grid !important}.d-xxl-inline-grid{display:inline-grid !important}.d-xxl-table{display:table !important}.d-xxl-table-row{display:table-row !important}.d-xxl-table-cell{display:table-cell !important}.d-xxl-flex{display:flex !important}.d-xxl-inline-flex{display:inline-flex !important}.d-xxl-none{display:none !important}.flex-xxl-fill{flex:1 1 auto !important}.flex-xxl-row{flex-direction:row !important}.flex-xxl-column{flex-direction:column !important}.flex-xxl-row-reverse{flex-direction:row-reverse !important}.flex-xxl-column-reverse{flex-direction:column-reverse !important}.flex-xxl-grow-0{flex-grow:0 !important}.flex-xxl-grow-1{flex-grow:1 !important}.flex-xxl-shrink-0{flex-shrink:0 !important}.flex-xxl-shrink-1{flex-shrink:1 !important}.flex-xxl-wrap{flex-wrap:wrap !important}.flex-xxl-nowrap{flex-wrap:nowrap !important}.flex-xxl-wrap-reverse{flex-wrap:wrap-reverse !important}.justify-content-xxl-start{justify-content:flex-start !important}.justify-content-xxl-end{justify-content:flex-end !important}.justify-content-xxl-center{justify-content:center !important}.justify-content-xxl-between{justify-content:space-between !important}.justify-content-xxl-around{justify-content:space-around !important}.justify-content-xxl-evenly{justify-content:space-evenly !important}.align-items-xxl-start{align-items:flex-start !important}.align-items-xxl-end{align-items:flex-end !important}.align-items-xxl-center{align-items:center !important}.align-items-xxl-baseline{align-items:baseline !important}.align-items-xxl-stretch{align-items:stretch !important}.align-content-xxl-start{align-content:flex-start !important}.align-content-xxl-end{align-content:flex-end !important}.align-content-xxl-center{align-content:center !important}.align-content-xxl-between{align-content:space-between !important}.align-content-xxl-around{align-content:space-around !important}.align-content-xxl-stretch{align-content:stretch !important}.align-self-xxl-auto{align-self:auto !important}.align-self-xxl-start{align-self:flex-start !important}.align-self-xxl-end{align-self:flex-end !important}.align-self-xxl-center{align-self:center !important}.align-self-xxl-baseline{align-self:baseline !important}.align-self-xxl-stretch{align-self:stretch !important}.order-xxl-first{order:-1 !important}.order-xxl-0{order:0 !important}.order-xxl-1{order:1 !important}.order-xxl-2{order:2 !important}.order-xxl-3{order:3 !important}.order-xxl-4{order:4 !important}.order-xxl-5{order:5 !important}.order-xxl-last{order:6 !important}.m-xxl-0{margin:0 !important}.m-xxl-1{margin:.25rem !important}.m-xxl-2{margin:.5rem !important}.m-xxl-3{margin:1rem !important}.m-xxl-4{margin:1.5rem !important}.m-xxl-5{margin:3rem !important}.m-xxl-auto{margin:auto !important}.mx-xxl-0{margin-right:0 !important;margin-left:0 !important}.mx-xxl-1{margin-right:.25rem !important;margin-left:.25rem !important}.mx-xxl-2{margin-right:.5rem !important;margin-left:.5rem !important}.mx-xxl-3{margin-right:1rem !important;margin-left:1rem !important}.mx-xxl-4{margin-right:1.5rem !important;margin-left:1.5rem !important}.mx-xxl-5{margin-right:3rem !important;margin-left:3rem !important}.mx-xxl-auto{margin-right:auto !important;margin-left:auto !important}.my-xxl-0{margin-top:0 !important;margin-bottom:0 !important}.my-xxl-1{margin-top:.25rem !important;margin-bottom:.25rem !important}.my-xxl-2{margin-top:.5rem !important;margin-bottom:.5rem !important}.my-xxl-3{margin-top:1rem !important;margin-bottom:1rem !important}.my-xxl-4{margin-top:1.5rem !important;margin-bottom:1.5rem !important}.my-xxl-5{margin-top:3rem !important;margin-bottom:3rem !important}.my-xxl-auto{margin-top:auto !important;margin-bottom:auto !important}.mt-xxl-0{margin-top:0 !important}.mt-xxl-1{margin-top:.25rem !important}.mt-xxl-2{margin-top:.5rem !important}.mt-xxl-3{margin-top:1rem !important}.mt-xxl-4{margin-top:1.5rem !important}.mt-xxl-5{margin-top:3rem !important}.mt-xxl-auto{margin-top:auto !important}.me-xxl-0{margin-right:0 !important}.me-xxl-1{margin-right:.25rem !important}.me-xxl-2{margin-right:.5rem !important}.me-xxl-3{margin-right:1rem !important}.me-xxl-4{margin-right:1.5rem !important}.me-xxl-5{margin-right:3rem !important}.me-xxl-auto{margin-right:auto !important}.mb-xxl-0{margin-bottom:0 !important}.mb-xxl-1{margin-bottom:.25rem !important}.mb-xxl-2{margin-bottom:.5rem !important}.mb-xxl-3{margin-bottom:1rem !important}.mb-xxl-4{margin-bottom:1.5rem !important}.mb-xxl-5{margin-bottom:3rem !important}.mb-xxl-auto{margin-bottom:auto !important}.ms-xxl-0{margin-left:0 !important}.ms-xxl-1{margin-left:.25rem !important}.ms-xxl-2{margin-left:.5rem !important}.ms-xxl-3{margin-left:1rem !important}.ms-xxl-4{margin-left:1.5rem !important}.ms-xxl-5{margin-left:3rem !important}.ms-xxl-auto{margin-left:auto !important}.p-xxl-0{padding:0 !important}.p-xxl-1{padding:.25rem !important}.p-xxl-2{padding:.5rem !important}.p-xxl-3{padding:1rem !important}.p-xxl-4{padding:1.5rem !important}.p-xxl-5{padding:3rem !important}.px-xxl-0{padding-right:0 !important;padding-left:0 !important}.px-xxl-1{padding-right:.25rem !important;padding-left:.25rem !important}.px-xxl-2{padding-right:.5rem !important;padding-left:.5rem !important}.px-xxl-3{padding-right:1rem !important;padding-left:1rem !important}.px-xxl-4{padding-right:1.5rem !important;padding-left:1.5rem !important}.px-xxl-5{padding-right:3rem !important;padding-left:3rem !important}.py-xxl-0{padding-top:0 !important;padding-bottom:0 !important}.py-xxl-1{padding-top:.25rem !important;padding-bottom:.25rem !important}.py-xxl-2{padding-top:.5rem !important;padding-bottom:.5rem !important}.py-xxl-3{padding-top:1rem !important;padding-bottom:1rem !important}.py-xxl-4{padding-top:1.5rem !important;padding-bottom:1.5rem !important}.py-xxl-5{padding-top:3rem !important;padding-bottom:3rem !important}.pt-xxl-0{padding-top:0 !important}.pt-xxl-1{padding-top:.25rem !important}.pt-xxl-2{padding-top:.5rem !important}.pt-xxl-3{padding-top:1rem !important}.pt-xxl-4{padding-top:1.5rem !important}.pt-xxl-5{padding-top:3rem !important}.pe-xxl-0{padding-right:0 !important}.pe-xxl-1{padding-right:.25rem !important}.pe-xxl-2{padding-right:.5rem !important}.pe-xxl-3{padding-right:1rem !important}.pe-xxl-4{padding-right:1.5rem !important}.pe-xxl-5{padding-right:3rem !important}.pb-xxl-0{padding-bottom:0 !important}.pb-xxl-1{padding-bottom:.25rem !important}.pb-xxl-2{padding-bottom:.5rem !important}.pb-xxl-3{padding-bottom:1rem !important}.pb-xxl-4{padding-bottom:1.5rem !important}.pb-xxl-5{padding-bottom:3rem !important}.ps-xxl-0{padding-left:0 !important}.ps-xxl-1{padding-left:.25rem !important}.ps-xxl-2{padding-left:.5rem !important}.ps-xxl-3{padding-left:1rem !important}.ps-xxl-4{padding-left:1.5rem !important}.ps-xxl-5{padding-left:3rem !important}.gap-xxl-0{gap:0 !important}.gap-xxl-1{gap:.25rem !important}.gap-xxl-2{gap:.5rem !important}.gap-xxl-3{gap:1rem !important}.gap-xxl-4{gap:1.5rem !important}.gap-xxl-5{gap:3rem !important}.row-gap-xxl-0{row-gap:0 !important}.row-gap-xxl-1{row-gap:.25rem !important}.row-gap-xxl-2{row-gap:.5rem !important}.row-gap-xxl-3{row-gap:1rem !important}.row-gap-xxl-4{row-gap:1.5rem !important}.row-gap-xxl-5{row-gap:3rem !important}.column-gap-xxl-0{column-gap:0 !important}.column-gap-xxl-1{column-gap:.25rem !important}.column-gap-xxl-2{column-gap:.5rem !important}.column-gap-xxl-3{column-gap:1rem !important}.column-gap-xxl-4{column-gap:1.5rem !important}.column-gap-xxl-5{column-gap:3rem !important}.text-xxl-start{text-align:left !important}.text-xxl-end{text-align:right !important}.text-xxl-center{text-align:center !important}}.bg-default{color:#000}.bg-primary{color:#fff}.bg-secondary{color:#fff}.bg-success{color:#fff}.bg-info{color:#000}.bg-warning{color:#000}.bg-danger{color:#fff}.bg-light{color:#000}.bg-dark{color:#fff}@media (min-width: 1200px){.fs-1{font-size:2.5rem !important}.fs-2{font-size:2rem !important}.fs-3{font-size:1.75rem !important}.fs-4{font-size:1.5rem !important}}@media print{.d-print-inline{display:inline !important}.d-print-inline-block{display:inline-block !important}.d-print-block{display:block !important}.d-print-grid{display:grid !important}.d-print-inline-grid{display:inline-grid !important}.d-print-table{display:table !important}.d-print-table-row{display:table-row !important}.d-print-table-cell{display:table-cell !important}.d-print-flex{display:flex !important}.d-print-inline-flex{display:inline-flex !important}.d-print-none{display:none !important}}.table th[align=left]{text-align:left}.table th[align=right]{text-align:right}.table th[align=center]{text-align:center}:root{--bslib-spacer: 1rem;--bslib-mb-spacer: var(--bslib-spacer, 1rem)}.bslib-mb-spacing{margin-bottom:var(--bslib-mb-spacer)}.bslib-gap-spacing{gap:var(--bslib-mb-spacer)}.bslib-gap-spacing>.bslib-mb-spacing,.bslib-gap-spacing>.form-group,.bslib-gap-spacing>p,.bslib-gap-spacing>pre,.bslib-gap-spacing>.shiny-html-output>.bslib-mb-spacing,.bslib-gap-spacing>.shiny-html-output>.form-group,.bslib-gap-spacing>.shiny-html-output>p,.bslib-gap-spacing>.shiny-html-output>pre,.bslib-gap-spacing>.shiny-panel-conditional>.bslib-mb-spacing,.bslib-gap-spacing>.shiny-panel-conditional>.form-group,.bslib-gap-spacing>.shiny-panel-conditional>p,.bslib-gap-spacing>.shiny-panel-conditional>pre{margin-bottom:0}.html-fill-container>.html-fill-item.bslib-mb-spacing{margin-bottom:0}.tab-content>.tab-pane.html-fill-container{display:none}.tab-content>.active.html-fill-container{display:flex}.tab-content.html-fill-container{padding:0}.bg-blue{--bslib-color-bg: #0d6efd;--bslib-color-fg: #fff;background-color:var(--bslib-color-bg);color:var(--bslib-color-fg)}.text-blue{--bslib-color-fg: #0d6efd;color:var(--bslib-color-fg)}.bg-indigo{--bslib-color-bg: #6610f2;--bslib-color-fg: #fff;background-color:var(--bslib-color-bg);color:var(--bslib-color-fg)}.text-indigo{--bslib-color-fg: #6610f2;color:var(--bslib-color-fg)}.bg-purple{--bslib-color-bg: #6f42c1;--bslib-color-fg: #fff;background-color:var(--bslib-color-bg);color:var(--bslib-color-fg)}.text-purple{--bslib-color-fg: #6f42c1;color:var(--bslib-color-fg)}.bg-pink{--bslib-color-bg: #d63384;--bslib-color-fg: #fff;background-color:var(--bslib-color-bg);color:var(--bslib-color-fg)}.text-pink{--bslib-color-fg: #d63384;color:var(--bslib-color-fg)}.bg-red{--bslib-color-bg: #dc3545;--bslib-color-fg: #fff;background-color:var(--bslib-color-bg);color:var(--bslib-color-fg)}.text-red{--bslib-color-fg: #dc3545;color:var(--bslib-color-fg)}.bg-orange{--bslib-color-bg: #fd7e14;--bslib-color-fg: #000;background-color:var(--bslib-color-bg);color:var(--bslib-color-fg)}.text-orange{--bslib-color-fg: #fd7e14;color:var(--bslib-color-fg)}.bg-yellow{--bslib-color-bg: #ffc107;--bslib-color-fg: #000;background-color:var(--bslib-color-bg);color:var(--bslib-color-fg)}.text-yellow{--bslib-color-fg: #ffc107;color:var(--bslib-color-fg)}.bg-green{--bslib-color-bg: #198754;--bslib-color-fg: #fff;background-color:var(--bslib-color-bg);color:var(--bslib-color-fg)}.text-green{--bslib-color-fg: #198754;color:var(--bslib-color-fg)}.bg-teal{--bslib-color-bg: #20c997;--bslib-color-fg: #000;background-color:var(--bslib-color-bg);color:var(--bslib-color-fg)}.text-teal{--bslib-color-fg: #20c997;color:var(--bslib-color-fg)}.bg-cyan{--bslib-color-bg: #0dcaf0;--bslib-color-fg: #000;background-color:var(--bslib-color-bg);color:var(--bslib-color-fg)}.text-cyan{--bslib-color-fg: #0dcaf0;color:var(--bslib-color-fg)}.text-default{--bslib-color-fg: #dee2e6}.bg-default{--bslib-color-bg: #dee2e6;--bslib-color-fg: #000}.text-primary{--bslib-color-fg: #0d6efd}.bg-primary{--bslib-color-bg: #0d6efd;--bslib-color-fg: #fff}.text-secondary{--bslib-color-fg: #6c757d}.bg-secondary{--bslib-color-bg: #6c757d;--bslib-color-fg: #fff}.text-success{--bslib-color-fg: #198754}.bg-success{--bslib-color-bg: #198754;--bslib-color-fg: #fff}.text-info{--bslib-color-fg: #0dcaf0}.bg-info{--bslib-color-bg: #0dcaf0;--bslib-color-fg: #000}.text-warning{--bslib-color-fg: #ffc107}.bg-warning{--bslib-color-bg: #ffc107;--bslib-color-fg: #000}.text-danger{--bslib-color-fg: #dc3545}.bg-danger{--bslib-color-bg: #dc3545;--bslib-color-fg: #fff}.text-light{--bslib-color-fg: #f8f9fa}.bg-light{--bslib-color-bg: #f8f9fa;--bslib-color-fg: #000}.text-dark{--bslib-color-fg: #212529}.bg-dark{--bslib-color-bg: #212529;--bslib-color-fg: #fff}.bg-gradient-blue-indigo{--bslib-color-fg: #fff;--bslib-color-bg: #3148f9;background:linear-gradient(var(--bg-gradient-deg, 140deg), #0d6efd var(--bg-gradient-start, 36%), #6610f2 var(--bg-gradient-end, 180%)) #3148f9;color:#fff}.bg-gradient-blue-purple{--bslib-color-fg: #fff;--bslib-color-bg: #345ce5;background:linear-gradient(var(--bg-gradient-deg, 140deg), #0d6efd var(--bg-gradient-start, 36%), #6f42c1 var(--bg-gradient-end, 180%)) #345ce5;color:#fff}.bg-gradient-blue-pink{--bslib-color-fg: #fff;--bslib-color-bg: #5d56cd;background:linear-gradient(var(--bg-gradient-deg, 140deg), #0d6efd var(--bg-gradient-start, 36%), #d63384 var(--bg-gradient-end, 180%)) #5d56cd;color:#fff}.bg-gradient-blue-red{--bslib-color-fg: #fff;--bslib-color-bg: #6057b3;background:linear-gradient(var(--bg-gradient-deg, 140deg), #0d6efd var(--bg-gradient-start, 36%), #dc3545 var(--bg-gradient-end, 180%)) #6057b3;color:#fff}.bg-gradient-blue-orange{--bslib-color-fg: #fff;--bslib-color-bg: #6d74a0;background:linear-gradient(var(--bg-gradient-deg, 140deg), #0d6efd var(--bg-gradient-start, 36%), #fd7e14 var(--bg-gradient-end, 180%)) #6d74a0;color:#fff}.bg-gradient-blue-yellow{--bslib-color-fg: #000;--bslib-color-bg: #6e8f9b;background:linear-gradient(var(--bg-gradient-deg, 140deg), #0d6efd var(--bg-gradient-start, 36%), #ffc107 var(--bg-gradient-end, 180%)) #6e8f9b;color:#000}.bg-gradient-blue-green{--bslib-color-fg: #fff;--bslib-color-bg: #1278b9;background:linear-gradient(var(--bg-gradient-deg, 140deg), #0d6efd var(--bg-gradient-start, 36%), #198754 var(--bg-gradient-end, 180%)) #1278b9;color:#fff}.bg-gradient-blue-teal{--bslib-color-fg: #000;--bslib-color-bg: #1592d4;background:linear-gradient(var(--bg-gradient-deg, 140deg), #0d6efd var(--bg-gradient-start, 36%), #20c997 var(--bg-gradient-end, 180%)) #1592d4;color:#000}.bg-gradient-blue-cyan{--bslib-color-fg: #000;--bslib-color-bg: #0d93f8;background:linear-gradient(var(--bg-gradient-deg, 140deg), #0d6efd var(--bg-gradient-start, 36%), #0dcaf0 var(--bg-gradient-end, 180%)) #0d93f8;color:#000}.bg-gradient-indigo-blue{--bslib-color-fg: #fff;--bslib-color-bg: #4236f6;background:linear-gradient(var(--bg-gradient-deg, 140deg), #6610f2 var(--bg-gradient-start, 36%), #0d6efd var(--bg-gradient-end, 180%)) #4236f6;color:#fff}.bg-gradient-indigo-purple{--bslib-color-fg: #fff;--bslib-color-bg: #6a24de;background:linear-gradient(var(--bg-gradient-deg, 140deg), #6610f2 var(--bg-gradient-start, 36%), #6f42c1 var(--bg-gradient-end, 180%)) #6a24de;color:#fff}.bg-gradient-indigo-pink{--bslib-color-fg: #fff;--bslib-color-bg: #931ec6;background:linear-gradient(var(--bg-gradient-deg, 140deg), #6610f2 var(--bg-gradient-start, 36%), #d63384 var(--bg-gradient-end, 180%)) #931ec6;color:#fff}.bg-gradient-indigo-red{--bslib-color-fg: #fff;--bslib-color-bg: #951fad;background:linear-gradient(var(--bg-gradient-deg, 140deg), #6610f2 var(--bg-gradient-start, 36%), #dc3545 var(--bg-gradient-end, 180%)) #951fad;color:#fff}.bg-gradient-indigo-orange{--bslib-color-fg: #fff;--bslib-color-bg: #a23c99;background:linear-gradient(var(--bg-gradient-deg, 140deg), #6610f2 var(--bg-gradient-start, 36%), #fd7e14 var(--bg-gradient-end, 180%)) #a23c99;color:#fff}.bg-gradient-indigo-yellow{--bslib-color-fg: #fff;--bslib-color-bg: #a35794;background:linear-gradient(var(--bg-gradient-deg, 140deg), #6610f2 var(--bg-gradient-start, 36%), #ffc107 var(--bg-gradient-end, 180%)) #a35794;color:#fff}.bg-gradient-indigo-green{--bslib-color-fg: #fff;--bslib-color-bg: #4740b3;background:linear-gradient(var(--bg-gradient-deg, 140deg), #6610f2 var(--bg-gradient-start, 36%), #198754 var(--bg-gradient-end, 180%)) #4740b3;color:#fff}.bg-gradient-indigo-teal{--bslib-color-fg: #fff;--bslib-color-bg: #4a5ace;background:linear-gradient(var(--bg-gradient-deg, 140deg), #6610f2 var(--bg-gradient-start, 36%), #20c997 var(--bg-gradient-end, 180%)) #4a5ace;color:#fff}.bg-gradient-indigo-cyan{--bslib-color-fg: #fff;--bslib-color-bg: #425af1;background:linear-gradient(var(--bg-gradient-deg, 140deg), #6610f2 var(--bg-gradient-start, 36%), #0dcaf0 var(--bg-gradient-end, 180%)) #425af1;color:#fff}.bg-gradient-purple-blue{--bslib-color-fg: #fff;--bslib-color-bg: #4854d9;background:linear-gradient(var(--bg-gradient-deg, 140deg), #6f42c1 var(--bg-gradient-start, 36%), #0d6efd var(--bg-gradient-end, 180%)) #4854d9;color:#fff}.bg-gradient-purple-indigo{--bslib-color-fg: #fff;--bslib-color-bg: #6b2ed5;background:linear-gradient(var(--bg-gradient-deg, 140deg), #6f42c1 var(--bg-gradient-start, 36%), #6610f2 var(--bg-gradient-end, 180%)) #6b2ed5;color:#fff}.bg-gradient-purple-pink{--bslib-color-fg: #fff;--bslib-color-bg: #983ca9;background:linear-gradient(var(--bg-gradient-deg, 140deg), #6f42c1 var(--bg-gradient-start, 36%), #d63384 var(--bg-gradient-end, 180%)) #983ca9;color:#fff}.bg-gradient-purple-red{--bslib-color-fg: #fff;--bslib-color-bg: #9b3d8f;background:linear-gradient(var(--bg-gradient-deg, 140deg), #6f42c1 var(--bg-gradient-start, 36%), #dc3545 var(--bg-gradient-end, 180%)) #9b3d8f;color:#fff}.bg-gradient-purple-orange{--bslib-color-fg: #fff;--bslib-color-bg: #a85a7c;background:linear-gradient(var(--bg-gradient-deg, 140deg), #6f42c1 var(--bg-gradient-start, 36%), #fd7e14 var(--bg-gradient-end, 180%)) #a85a7c;color:#fff}.bg-gradient-purple-yellow{--bslib-color-fg: #000;--bslib-color-bg: #a97577;background:linear-gradient(var(--bg-gradient-deg, 140deg), #6f42c1 var(--bg-gradient-start, 36%), #ffc107 var(--bg-gradient-end, 180%)) #a97577;color:#000}.bg-gradient-purple-green{--bslib-color-fg: #fff;--bslib-color-bg: #4d5e95;background:linear-gradient(var(--bg-gradient-deg, 140deg), #6f42c1 var(--bg-gradient-start, 36%), #198754 var(--bg-gradient-end, 180%)) #4d5e95;color:#fff}.bg-gradient-purple-teal{--bslib-color-fg: #fff;--bslib-color-bg: #4f78b0;background:linear-gradient(var(--bg-gradient-deg, 140deg), #6f42c1 var(--bg-gradient-start, 36%), #20c997 var(--bg-gradient-end, 180%)) #4f78b0;color:#fff}.bg-gradient-purple-cyan{--bslib-color-fg: #000;--bslib-color-bg: #4878d4;background:linear-gradient(var(--bg-gradient-deg, 140deg), #6f42c1 var(--bg-gradient-start, 36%), #0dcaf0 var(--bg-gradient-end, 180%)) #4878d4;color:#000}.bg-gradient-pink-blue{--bslib-color-fg: #fff;--bslib-color-bg: #864bb4;background:linear-gradient(var(--bg-gradient-deg, 140deg), #d63384 var(--bg-gradient-start, 36%), #0d6efd var(--bg-gradient-end, 180%)) #864bb4;color:#fff}.bg-gradient-pink-indigo{--bslib-color-fg: #fff;--bslib-color-bg: #a925b0;background:linear-gradient(var(--bg-gradient-deg, 140deg), #d63384 var(--bg-gradient-start, 36%), #6610f2 var(--bg-gradient-end, 180%)) #a925b0;color:#fff}.bg-gradient-pink-purple{--bslib-color-fg: #fff;--bslib-color-bg: #ad399c;background:linear-gradient(var(--bg-gradient-deg, 140deg), #d63384 var(--bg-gradient-start, 36%), #6f42c1 var(--bg-gradient-end, 180%)) #ad399c;color:#fff}.bg-gradient-pink-red{--bslib-color-fg: #fff;--bslib-color-bg: #d8346b;background:linear-gradient(var(--bg-gradient-deg, 140deg), #d63384 var(--bg-gradient-start, 36%), #dc3545 var(--bg-gradient-end, 180%)) #d8346b;color:#fff}.bg-gradient-pink-orange{--bslib-color-fg: #000;--bslib-color-bg: #e65157;background:linear-gradient(var(--bg-gradient-deg, 140deg), #d63384 var(--bg-gradient-start, 36%), #fd7e14 var(--bg-gradient-end, 180%)) #e65157;color:#000}.bg-gradient-pink-yellow{--bslib-color-fg: #000;--bslib-color-bg: #e66c52;background:linear-gradient(var(--bg-gradient-deg, 140deg), #d63384 var(--bg-gradient-start, 36%), #ffc107 var(--bg-gradient-end, 180%)) #e66c52;color:#000}.bg-gradient-pink-green{--bslib-color-fg: #fff;--bslib-color-bg: #8a5571;background:linear-gradient(var(--bg-gradient-deg, 140deg), #d63384 var(--bg-gradient-start, 36%), #198754 var(--bg-gradient-end, 180%)) #8a5571;color:#fff}.bg-gradient-pink-teal{--bslib-color-fg: #000;--bslib-color-bg: #8d6f8c;background:linear-gradient(var(--bg-gradient-deg, 140deg), #d63384 var(--bg-gradient-start, 36%), #20c997 var(--bg-gradient-end, 180%)) #8d6f8c;color:#000}.bg-gradient-pink-cyan{--bslib-color-fg: #000;--bslib-color-bg: #866faf;background:linear-gradient(var(--bg-gradient-deg, 140deg), #d63384 var(--bg-gradient-start, 36%), #0dcaf0 var(--bg-gradient-end, 180%)) #866faf;color:#000}.bg-gradient-red-blue{--bslib-color-fg: #fff;--bslib-color-bg: #894c8f;background:linear-gradient(var(--bg-gradient-deg, 140deg), #dc3545 var(--bg-gradient-start, 36%), #0d6efd var(--bg-gradient-end, 180%)) #894c8f;color:#fff}.bg-gradient-red-indigo{--bslib-color-fg: #fff;--bslib-color-bg: #ad268a;background:linear-gradient(var(--bg-gradient-deg, 140deg), #dc3545 var(--bg-gradient-start, 36%), #6610f2 var(--bg-gradient-end, 180%)) #ad268a;color:#fff}.bg-gradient-red-purple{--bslib-color-fg: #fff;--bslib-color-bg: #b03a77;background:linear-gradient(var(--bg-gradient-deg, 140deg), #dc3545 var(--bg-gradient-start, 36%), #6f42c1 var(--bg-gradient-end, 180%)) #b03a77;color:#fff}.bg-gradient-red-pink{--bslib-color-fg: #fff;--bslib-color-bg: #da345e;background:linear-gradient(var(--bg-gradient-deg, 140deg), #dc3545 var(--bg-gradient-start, 36%), #d63384 var(--bg-gradient-end, 180%)) #da345e;color:#fff}.bg-gradient-red-orange{--bslib-color-fg: #000;--bslib-color-bg: #e95231;background:linear-gradient(var(--bg-gradient-deg, 140deg), #dc3545 var(--bg-gradient-start, 36%), #fd7e14 var(--bg-gradient-end, 180%)) #e95231;color:#000}.bg-gradient-red-yellow{--bslib-color-fg: #000;--bslib-color-bg: #ea6d2c;background:linear-gradient(var(--bg-gradient-deg, 140deg), #dc3545 var(--bg-gradient-start, 36%), #ffc107 var(--bg-gradient-end, 180%)) #ea6d2c;color:#000}.bg-gradient-red-green{--bslib-color-fg: #fff;--bslib-color-bg: #8e564b;background:linear-gradient(var(--bg-gradient-deg, 140deg), #dc3545 var(--bg-gradient-start, 36%), #198754 var(--bg-gradient-end, 180%)) #8e564b;color:#fff}.bg-gradient-red-teal{--bslib-color-fg: #000;--bslib-color-bg: #917066;background:linear-gradient(var(--bg-gradient-deg, 140deg), #dc3545 var(--bg-gradient-start, 36%), #20c997 var(--bg-gradient-end, 180%)) #917066;color:#000}.bg-gradient-red-cyan{--bslib-color-fg: #000;--bslib-color-bg: #897189;background:linear-gradient(var(--bg-gradient-deg, 140deg), #dc3545 var(--bg-gradient-start, 36%), #0dcaf0 var(--bg-gradient-end, 180%)) #897189;color:#000}.bg-gradient-orange-blue{--bslib-color-fg: #000;--bslib-color-bg: #9d7871;background:linear-gradient(var(--bg-gradient-deg, 140deg), #fd7e14 var(--bg-gradient-start, 36%), #0d6efd var(--bg-gradient-end, 180%)) #9d7871;color:#000}.bg-gradient-orange-indigo{--bslib-color-fg: #000;--bslib-color-bg: #c1526d;background:linear-gradient(var(--bg-gradient-deg, 140deg), #fd7e14 var(--bg-gradient-start, 36%), #6610f2 var(--bg-gradient-end, 180%)) #c1526d;color:#000}.bg-gradient-orange-purple{--bslib-color-fg: #000;--bslib-color-bg: #c46659;background:linear-gradient(var(--bg-gradient-deg, 140deg), #fd7e14 var(--bg-gradient-start, 36%), #6f42c1 var(--bg-gradient-end, 180%)) #c46659;color:#000}.bg-gradient-orange-pink{--bslib-color-fg: #000;--bslib-color-bg: #ed6041;background:linear-gradient(var(--bg-gradient-deg, 140deg), #fd7e14 var(--bg-gradient-start, 36%), #d63384 var(--bg-gradient-end, 180%)) #ed6041;color:#000}.bg-gradient-orange-red{--bslib-color-fg: #000;--bslib-color-bg: #f06128;background:linear-gradient(var(--bg-gradient-deg, 140deg), #fd7e14 var(--bg-gradient-start, 36%), #dc3545 var(--bg-gradient-end, 180%)) #f06128;color:#000}.bg-gradient-orange-yellow{--bslib-color-fg: #000;--bslib-color-bg: #fe990f;background:linear-gradient(var(--bg-gradient-deg, 140deg), #fd7e14 var(--bg-gradient-start, 36%), #ffc107 var(--bg-gradient-end, 180%)) #fe990f;color:#000}.bg-gradient-orange-green{--bslib-color-fg: #000;--bslib-color-bg: #a2822e;background:linear-gradient(var(--bg-gradient-deg, 140deg), #fd7e14 var(--bg-gradient-start, 36%), #198754 var(--bg-gradient-end, 180%)) #a2822e;color:#000}.bg-gradient-orange-teal{--bslib-color-fg: #000;--bslib-color-bg: #a59c48;background:linear-gradient(var(--bg-gradient-deg, 140deg), #fd7e14 var(--bg-gradient-start, 36%), #20c997 var(--bg-gradient-end, 180%)) #a59c48;color:#000}.bg-gradient-orange-cyan{--bslib-color-fg: #000;--bslib-color-bg: #9d9c6c;background:linear-gradient(var(--bg-gradient-deg, 140deg), #fd7e14 var(--bg-gradient-start, 36%), #0dcaf0 var(--bg-gradient-end, 180%)) #9d9c6c;color:#000}.bg-gradient-yellow-blue{--bslib-color-fg: #000;--bslib-color-bg: #9ea069;background:linear-gradient(var(--bg-gradient-deg, 140deg), #ffc107 var(--bg-gradient-start, 36%), #0d6efd var(--bg-gradient-end, 180%)) #9ea069;color:#000}.bg-gradient-yellow-indigo{--bslib-color-fg: #000;--bslib-color-bg: #c27a65;background:linear-gradient(var(--bg-gradient-deg, 140deg), #ffc107 var(--bg-gradient-start, 36%), #6610f2 var(--bg-gradient-end, 180%)) #c27a65;color:#000}.bg-gradient-yellow-purple{--bslib-color-fg: #000;--bslib-color-bg: #c58e51;background:linear-gradient(var(--bg-gradient-deg, 140deg), #ffc107 var(--bg-gradient-start, 36%), #6f42c1 var(--bg-gradient-end, 180%)) #c58e51;color:#000}.bg-gradient-yellow-pink{--bslib-color-fg: #000;--bslib-color-bg: #ef8839;background:linear-gradient(var(--bg-gradient-deg, 140deg), #ffc107 var(--bg-gradient-start, 36%), #d63384 var(--bg-gradient-end, 180%)) #ef8839;color:#000}.bg-gradient-yellow-red{--bslib-color-fg: #000;--bslib-color-bg: #f18920;background:linear-gradient(var(--bg-gradient-deg, 140deg), #ffc107 var(--bg-gradient-start, 36%), #dc3545 var(--bg-gradient-end, 180%)) #f18920;color:#000}.bg-gradient-yellow-orange{--bslib-color-fg: #000;--bslib-color-bg: #fea60c;background:linear-gradient(var(--bg-gradient-deg, 140deg), #ffc107 var(--bg-gradient-start, 36%), #fd7e14 var(--bg-gradient-end, 180%)) #fea60c;color:#000}.bg-gradient-yellow-green{--bslib-color-fg: #000;--bslib-color-bg: #a3aa26;background:linear-gradient(var(--bg-gradient-deg, 140deg), #ffc107 var(--bg-gradient-start, 36%), #198754 var(--bg-gradient-end, 180%)) #a3aa26;color:#000}.bg-gradient-yellow-teal{--bslib-color-fg: #000;--bslib-color-bg: #a6c441;background:linear-gradient(var(--bg-gradient-deg, 140deg), #ffc107 var(--bg-gradient-start, 36%), #20c997 var(--bg-gradient-end, 180%)) #a6c441;color:#000}.bg-gradient-yellow-cyan{--bslib-color-fg: #000;--bslib-color-bg: #9ec564;background:linear-gradient(var(--bg-gradient-deg, 140deg), #ffc107 var(--bg-gradient-start, 36%), #0dcaf0 var(--bg-gradient-end, 180%)) #9ec564;color:#000}.bg-gradient-green-blue{--bslib-color-fg: #fff;--bslib-color-bg: #147d98;background:linear-gradient(var(--bg-gradient-deg, 140deg), #198754 var(--bg-gradient-start, 36%), #0d6efd var(--bg-gradient-end, 180%)) #147d98;color:#fff}.bg-gradient-green-indigo{--bslib-color-fg: #fff;--bslib-color-bg: #385793;background:linear-gradient(var(--bg-gradient-deg, 140deg), #198754 var(--bg-gradient-start, 36%), #6610f2 var(--bg-gradient-end, 180%)) #385793;color:#fff}.bg-gradient-green-purple{--bslib-color-fg: #fff;--bslib-color-bg: #3b6b80;background:linear-gradient(var(--bg-gradient-deg, 140deg), #198754 var(--bg-gradient-start, 36%), #6f42c1 var(--bg-gradient-end, 180%)) #3b6b80;color:#fff}.bg-gradient-green-pink{--bslib-color-fg: #fff;--bslib-color-bg: #656567;background:linear-gradient(var(--bg-gradient-deg, 140deg), #198754 var(--bg-gradient-start, 36%), #d63384 var(--bg-gradient-end, 180%)) #656567;color:#fff}.bg-gradient-green-red{--bslib-color-fg: #fff;--bslib-color-bg: #67664e;background:linear-gradient(var(--bg-gradient-deg, 140deg), #198754 var(--bg-gradient-start, 36%), #dc3545 var(--bg-gradient-end, 180%)) #67664e;color:#fff}.bg-gradient-green-orange{--bslib-color-fg: #000;--bslib-color-bg: #74833a;background:linear-gradient(var(--bg-gradient-deg, 140deg), #198754 var(--bg-gradient-start, 36%), #fd7e14 var(--bg-gradient-end, 180%)) #74833a;color:#000}.bg-gradient-green-yellow{--bslib-color-fg: #000;--bslib-color-bg: #759e35;background:linear-gradient(var(--bg-gradient-deg, 140deg), #198754 var(--bg-gradient-start, 36%), #ffc107 var(--bg-gradient-end, 180%)) #759e35;color:#000}.bg-gradient-green-teal{--bslib-color-fg: #000;--bslib-color-bg: #1ca16f;background:linear-gradient(var(--bg-gradient-deg, 140deg), #198754 var(--bg-gradient-start, 36%), #20c997 var(--bg-gradient-end, 180%)) #1ca16f;color:#000}.bg-gradient-green-cyan{--bslib-color-fg: #000;--bslib-color-bg: #14a292;background:linear-gradient(var(--bg-gradient-deg, 140deg), #198754 var(--bg-gradient-start, 36%), #0dcaf0 var(--bg-gradient-end, 180%)) #14a292;color:#000}.bg-gradient-teal-blue{--bslib-color-fg: #000;--bslib-color-bg: #18a5c0;background:linear-gradient(var(--bg-gradient-deg, 140deg), #20c997 var(--bg-gradient-start, 36%), #0d6efd var(--bg-gradient-end, 180%)) #18a5c0;color:#000}.bg-gradient-teal-indigo{--bslib-color-fg: #000;--bslib-color-bg: #3c7fbb;background:linear-gradient(var(--bg-gradient-deg, 140deg), #20c997 var(--bg-gradient-start, 36%), #6610f2 var(--bg-gradient-end, 180%)) #3c7fbb;color:#000}.bg-gradient-teal-purple{--bslib-color-fg: #000;--bslib-color-bg: #4093a8;background:linear-gradient(var(--bg-gradient-deg, 140deg), #20c997 var(--bg-gradient-start, 36%), #6f42c1 var(--bg-gradient-end, 180%)) #4093a8;color:#000}.bg-gradient-teal-pink{--bslib-color-fg: #000;--bslib-color-bg: #698d8f;background:linear-gradient(var(--bg-gradient-deg, 140deg), #20c997 var(--bg-gradient-start, 36%), #d63384 var(--bg-gradient-end, 180%)) #698d8f;color:#000}.bg-gradient-teal-red{--bslib-color-fg: #000;--bslib-color-bg: #6b8e76;background:linear-gradient(var(--bg-gradient-deg, 140deg), #20c997 var(--bg-gradient-start, 36%), #dc3545 var(--bg-gradient-end, 180%)) #6b8e76;color:#000}.bg-gradient-teal-orange{--bslib-color-fg: #000;--bslib-color-bg: #78ab63;background:linear-gradient(var(--bg-gradient-deg, 140deg), #20c997 var(--bg-gradient-start, 36%), #fd7e14 var(--bg-gradient-end, 180%)) #78ab63;color:#000}.bg-gradient-teal-yellow{--bslib-color-fg: #000;--bslib-color-bg: #79c65d;background:linear-gradient(var(--bg-gradient-deg, 140deg), #20c997 var(--bg-gradient-start, 36%), #ffc107 var(--bg-gradient-end, 180%)) #79c65d;color:#000}.bg-gradient-teal-green{--bslib-color-fg: #000;--bslib-color-bg: #1daf7c;background:linear-gradient(var(--bg-gradient-deg, 140deg), #20c997 var(--bg-gradient-start, 36%), #198754 var(--bg-gradient-end, 180%)) #1daf7c;color:#000}.bg-gradient-teal-cyan{--bslib-color-fg: #000;--bslib-color-bg: #18c9bb;background:linear-gradient(var(--bg-gradient-deg, 140deg), #20c997 var(--bg-gradient-start, 36%), #0dcaf0 var(--bg-gradient-end, 180%)) #18c9bb;color:#000}.bg-gradient-cyan-blue{--bslib-color-fg: #000;--bslib-color-bg: #0da5f5;background:linear-gradient(var(--bg-gradient-deg, 140deg), #0dcaf0 var(--bg-gradient-start, 36%), #0d6efd var(--bg-gradient-end, 180%)) #0da5f5;color:#000}.bg-gradient-cyan-indigo{--bslib-color-fg: #000;--bslib-color-bg: #3180f1;background:linear-gradient(var(--bg-gradient-deg, 140deg), #0dcaf0 var(--bg-gradient-start, 36%), #6610f2 var(--bg-gradient-end, 180%)) #3180f1;color:#000}.bg-gradient-cyan-purple{--bslib-color-fg: #000;--bslib-color-bg: #3494dd;background:linear-gradient(var(--bg-gradient-deg, 140deg), #0dcaf0 var(--bg-gradient-start, 36%), #6f42c1 var(--bg-gradient-end, 180%)) #3494dd;color:#000}.bg-gradient-cyan-pink{--bslib-color-fg: #000;--bslib-color-bg: #5d8ec5;background:linear-gradient(var(--bg-gradient-deg, 140deg), #0dcaf0 var(--bg-gradient-start, 36%), #d63384 var(--bg-gradient-end, 180%)) #5d8ec5;color:#000}.bg-gradient-cyan-red{--bslib-color-fg: #000;--bslib-color-bg: #608eac;background:linear-gradient(var(--bg-gradient-deg, 140deg), #0dcaf0 var(--bg-gradient-start, 36%), #dc3545 var(--bg-gradient-end, 180%)) #608eac;color:#000}.bg-gradient-cyan-orange{--bslib-color-fg: #000;--bslib-color-bg: #6dac98;background:linear-gradient(var(--bg-gradient-deg, 140deg), #0dcaf0 var(--bg-gradient-start, 36%), #fd7e14 var(--bg-gradient-end, 180%)) #6dac98;color:#000}.bg-gradient-cyan-yellow{--bslib-color-fg: #000;--bslib-color-bg: #6ec693;background:linear-gradient(var(--bg-gradient-deg, 140deg), #0dcaf0 var(--bg-gradient-start, 36%), #ffc107 var(--bg-gradient-end, 180%)) #6ec693;color:#000}.bg-gradient-cyan-green{--bslib-color-fg: #000;--bslib-color-bg: #12afb2;background:linear-gradient(var(--bg-gradient-deg, 140deg), #0dcaf0 var(--bg-gradient-start, 36%), #198754 var(--bg-gradient-end, 180%)) #12afb2;color:#000}.bg-gradient-cyan-teal{--bslib-color-fg: #000;--bslib-color-bg: #15cacc;background:linear-gradient(var(--bg-gradient-deg, 140deg), #0dcaf0 var(--bg-gradient-start, 36%), #20c997 var(--bg-gradient-end, 180%)) #15cacc;color:#000}.row>main{max-width:50rem;overflow-wrap:break-word;hyphens:auto}@media (min-width: 1200px) and (max-width: 1399.98px){.container .row{justify-content:space-evenly}}@media (min-width: 1400px){body{font-size:18px}.col-md-3{margin-left:5rem}}.navbar{background:RGBA(var(--bs-body-color-rgb), 0.1);background:color-mix(in oklab, color-mix(in oklab, var(--bs-body-bg) 95%, var(--bs-primary)) 95%, var(--bs-body-color));line-height:initial}.nav-item .nav-link{border-radius:.375rem}.nav-item.active .nav-link{background:RGBA(var(--bs-body-color-rgb), 0.1)}.nav-item .nav-link:hover{background:RGBA(var(--bs-primary-rgb), 0.1)}.navbar>.container{align-items:baseline;-webkit-align-items:baseline}input[type="search"]{width:12rem}[aria-labelledby=dropdown-lightswitch] span.fa{opacity:0.5}@media (max-width: 991.98px){.algolia-autocomplete,input[type="search"],#navbar .dropdown-menu{width:100%}#navbar .dropdown-item{white-space:normal}input[type="search"]{margin:0.25rem 0}}.headroom{will-change:transform;transition:transform 400ms ease}.headroom--pinned{transform:translateY(0%)}.headroom--unpinned{transform:translateY(-100%)}.row>main,.row>aside{margin-top:56px}html,body{scroll-padding:56px}@media (min-width: 576px){#toc{position:sticky;top:56px;max-height:calc(100vh - 56px - 1rem);overflow-y:auto}}aside h2,aside .h2{margin-top:1.5rem;font-size:1.25rem}aside .roles{color:RGBA(var(--bs-body-color-rgb), 0.8)}aside .list-unstyled li{margin-bottom:0.5rem}aside .dev-status .list-unstyled li{margin-bottom:0.1rem}@media (max-width: 767.98px){.row>aside{margin:0.5rem;width:calc(100vw - 1rem);background-color:RGBA(var(--bs-body-color-rgb), 0.1);border-color:var(--bs-border-color);border-radius:.375rem}.row>aside h2:first-child,.row>aside .h2:first-child{margin-top:1rem}}body{position:relative}#toc>.nav{margin-bottom:1rem}#toc>.nav a.nav-link{color:inherit;padding:0.25rem 0.5rem;margin-bottom:2px;border-radius:.375rem}#toc>.nav a.nav-link:hover,#toc>.nav a.nav-link:focus{background-color:RGBA(var(--bs-primary-rgb), 0.1)}#toc>.nav a.nav-link.active{background-color:RGBA(var(--bs-body-color-rgb), 0.1)}#toc>.nav .nav a.nav-link{margin-left:0.5rem}#toc>.nav .nav{display:none !important}#toc>.nav a.active+.nav{display:flex !important}footer{margin:1rem 0 1rem 0;padding-top:1rem;font-size:.875em;border-top:1px solid #dee2e6;background:rgba(0,0,0,0);color:RGBA(var(--bs-body-color-rgb), 0.8);display:flex;column-gap:1rem}@media (max-width: 575.98px){footer{flex-direction:column}}@media (min-width: 576px){footer .pkgdown-footer-right{text-align:right}}footer div{flex:1 1 auto}html,body{height:100%}body>.container{min-height:100%;display:flex;flex-direction:column}body>.container .row{flex:1 0 auto}main img{max-width:100%;height:auto}main table{display:block;overflow:auto}body{font-display:fallback}.page-header{border-bottom:1px solid var(--bs-border-color);padding-bottom:0.5rem;margin-bottom:0.5rem;margin-top:1.5rem}dl{margin-bottom:0}dd{padding-left:1.5rem;margin-bottom:0.25rem}h2,.h2{font-size:1.75rem;margin-top:1.5rem}h3,.h3{font-size:1.25rem;margin-top:1rem;font-weight:bold}h4,.h4{font-size:1.1rem;font-weight:bold}h5,.h5{font-size:1rem;font-weight:bold}summary{margin-bottom:0.5rem}details{margin-bottom:1rem}.html-widget{margin-bottom:1rem}a.anchor{display:none;margin-left:2px;vertical-align:top;width:Min(0.9em, 20px);height:Min(0.9em, 20px);background-image:url(../../link.svg);background-repeat:no-repeat;background-size:Min(0.9em, 20px) Min(0.9em, 20px);background-position:center center}h2:hover .anchor,.h2:hover .anchor,h2:target .anchor,.h2:target .anchor,h3:hover .anchor,.h3:hover .anchor,h3:target .anchor,.h3:target .anchor,h4:hover .anchor,.h4:hover .anchor,h4:target .anchor,.h4:target .anchor,h5:hover .anchor,.h5:hover .anchor,h5:target .anchor,.h5:target .anchor,h6:hover .anchor,.h6:hover .anchor,h6:target .anchor,.h6:target .anchor,dt:hover .anchor,dt:target .anchor{display:inline-block}dt:target,dt:target+dd{border-left:0.25rem solid var(--bs-primary);margin-left:-0.75rem}dt:target{padding-left:0.5rem}dt:target+dd{padding-left:2rem}.orcid{color:#A6CE39;margin-right:4px}.fab{font-family:"Font Awesome 5 Brands" !important}img.logo{float:right;width:100px;margin-left:30px}.template-home img.logo{width:120px}@media (max-width: 575.98px){img.logo{width:80px}}@media (min-width: 576px){.page-header{min-height:88px}.template-home .page-header{min-height:104px}}.line-block{margin-bottom:1rem}.template-reference-index dt{font-weight:normal}.template-reference-index code{word-wrap:normal}.icon{float:right}.icon img{width:40px}a[href='#main']{position:absolute;margin:4px;padding:0.75rem;background-color:var(--bs-body-bg);text-decoration:none;z-index:2000}.lifecycle{color:var(--bs-secondary-color);background-color:var(--bs-secondary-bg);border-radius:5px}.lifecycle-stable{background-color:#108001;color:var(--bs-white)}.lifecycle-superseded{background-color:#074080;color:var(--bs-white)}.lifecycle-experimental,.lifecycle-deprecated{background-color:#fd8008;color:var(--bs-black)}a.footnote-ref{cursor:pointer}.popover{width:Min(100vw, 32rem);font-size:0.9rem;box-shadow:4px 4px 8px RGBA(var(--bs-body-color-rgb), 0.3)}.popover-body{padding:0.75rem}.popover-body p:last-child{margin-bottom:0}.tab-content{padding:1rem}.tabset-pills .tab-content{border:solid 1px #e5e5e5}.tab-content{display:flex}.tab-content>.tab-pane{display:block;visibility:hidden;margin-right:-100%;width:100%}.tab-content>.active{visibility:visible}div.csl-entry{clear:both}.hanging-indent div.csl-entry{margin-left:2em;text-indent:-2em}div.csl-left-margin{min-width:2em;float:left}div.csl-right-inline{margin-left:2em;padding-left:1em}div.csl-indent{margin-left:2em}pre,pre code{word-wrap:normal}[data-bs-theme="dark"] pre,[data-bs-theme="dark"] code{background-color:RGBA(var(--bs-body-color-rgb), 0.1)}[data-bs-theme="dark"] pre code{background:transparent}code{overflow-wrap:break-word}.hasCopyButton{position:relative}.btn-copy-ex{position:absolute;right:5px;top:5px;visibility:hidden}.hasCopyButton:hover button.btn-copy-ex{visibility:visible}pre{padding:0.75rem}pre div.gt-table{white-space:normal;margin-top:1rem}@media (max-width: 575.98px){div>div>pre{margin-left:calc(var(--bs-gutter-x) * -.5);margin-right:calc(var(--bs-gutter-x) * -.5);border-radius:0;padding-left:1rem;padding-right:1rem}.btn-copy-ex{right:calc(var(--bs-gutter-x) * -.5 + 5px)}}code a:any-link{color:inherit;text-decoration-color:RGBA(var(--bs-body-color-rgb), 0.6)}pre code{padding:0;background:transparent}pre code .error,pre code .warning{font-weight:bolder}pre .img img,pre .r-plt img{margin:5px 0;background-color:#fff}[data-bs-theme="dark"] pre img{opacity:0.66;transition:opacity 250ms ease-in-out}[data-bs-theme="dark"] pre img:hover,[data-bs-theme="dark"] pre img:focus,[data-bs-theme="dark"] pre img:active{opacity:1}@media print{code a:link:after,code a:visited:after{content:""}}a.sourceLine:hover{text-decoration:none}mark,.mark{background:linear-gradient(-100deg, RGBA(var(--bs-info-rgb), 0.2), RGBA(var(--bs-info-rgb), 0.7) 95%, RGBA(var(--bs-info-rgb), 0.1))}.algolia-autocomplete .aa-dropdown-menu{margin-top:0.5rem;padding:0.5rem 0.25rem;width:MAX(100%, 20rem);max-height:50vh;overflow-y:auto;background-color:var(--bs-body-bg);border:var(--bs-border-width) solid var(--bs-border-color);border-radius:.375rem}.algolia-autocomplete .aa-dropdown-menu .aa-suggestion{cursor:pointer;font-size:1rem;padding:0.5rem 0.25rem;line-height:1.3}.algolia-autocomplete .aa-dropdown-menu .aa-suggestion:hover{background-color:var(--bs-tertiary-bg);color:var(--bs-body-color)}.algolia-autocomplete .aa-dropdown-menu .aa-suggestion .search-details{text-decoration:underline;display:inline}span.smallcaps{font-variant:small-caps}ul.task-list{list-style:none}ul.task-list li input[type="checkbox"]{width:0.8em;margin:0 0.8em 0.2em -1em;vertical-align:middle}figure.figure{display:block}.quarto-layout-panel{margin-bottom:1em}.quarto-layout-panel>figure{width:100%}.quarto-layout-panel>figure>figcaption,.quarto-layout-panel>.panel-caption{margin-top:10pt}.quarto-layout-panel>.table-caption{margin-top:0px}.table-caption p{margin-bottom:0.5em}.quarto-layout-row{display:flex;flex-direction:row;align-items:flex-start}.quarto-layout-valign-top{align-items:flex-start}.quarto-layout-valign-bottom{align-items:flex-end}.quarto-layout-valign-center{align-items:center}.quarto-layout-cell{position:relative;margin-right:20px}.quarto-layout-cell:last-child{margin-right:0}.quarto-layout-cell figure,.quarto-layout-cell>p{margin:0.2em}.quarto-layout-cell img{max-width:100%}.quarto-layout-cell .html-widget{width:100% !important}.quarto-layout-cell div figure p{margin:0}.quarto-layout-cell figure{display:block;margin-inline-start:0;margin-inline-end:0}.quarto-layout-cell table{display:inline-table}.quarto-layout-cell-subref figcaption,figure .quarto-layout-row figure figcaption{text-align:center;font-style:italic}.quarto-figure{position:relative;margin-bottom:1em}.quarto-figure>figure{width:100%;margin-bottom:0}.quarto-figure-left>figure>p,.quarto-figure-left>figure>div{text-align:left}.quarto-figure-center>figure>p,.quarto-figure-center>figure>div{text-align:center}.quarto-figure-right>figure>p,.quarto-figure-right>figure>div{text-align:right}.quarto-figure>figure>div.cell-annotation,.quarto-figure>figure>div code{text-align:left}figure>p:empty{display:none}figure>p:first-child{margin-top:0;margin-bottom:0}figure>figcaption.quarto-float-caption-bottom{margin-bottom:0.5em}figure>figcaption.quarto-float-caption-top{margin-top:0.5em}:root{--mermaid-bg-color: transparent;--mermaid-edge-color: var(--bs-secondary);--mermaid-fg-color: var(--bs-body-color);--mermaid-fg-color--lighter: RGBA(var(--bs-body-color-rgb), 0.9);--mermaid-fg-color--lightest: RGBA(var(--bs-body-color-rgb), 0.8);--mermaid-font-family: var(--bs-body-font-family);--mermaid-label-bg-color: var(--bs-primary);--mermaid-label-fg-color: var(--bs-body-color);--mermaid-node-bg-color: RGBA(var(--bs-primary-rgb), 0.1);--mermaid-node-fg-color: var(--bs-primary)}pre{background-color:#f1f3f5}pre code{color:#003B4F}pre code span.al{color:#AD0000}pre code span.an{color:#5E5E5E}pre code span.at{color:#657422}pre code span.bn{color:#AD0000}pre code span.cf{color:#003B4F}pre code span.ch{color:#20794D}pre code span.cn{color:#8f5902}pre code span.co{color:#5E5E5E}pre code span.cv{color:#5E5E5E;font-style:italic}pre code span.do{color:#5E5E5E;font-style:italic}pre code span.dt{color:#AD0000}pre code span.dv{color:#AD0000}pre code span.er{color:#AD0000}pre code span.fl{color:#AD0000}pre code span.fu{color:#4758AB}pre code span.im{color:#00769E}pre code span.in{color:#5E5E5E}pre code span.kw{color:#003B4F}pre code span.op{color:#5E5E5E}pre code span.ot{color:#003B4F}pre code span.pp{color:#AD0000}pre code span.sc{color:#5E5E5E}pre code span.ss{color:#20794D}pre code span.st{color:#20794D}pre code span.va{color:#111111}pre code span.vs{color:#20794D}pre code span.wa{color:#5E5E5E;font-style:italic}
diff --git a/deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js b/deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js
new file mode 100644
index 00000000..c628326a
--- /dev/null
+++ b/deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js
@@ -0,0 +1,5 @@
+/*!
+ * Bootstrap Table of Contents v1.0.1 (http://afeld.github.io/bootstrap-toc/)
+ * Copyright 2015 Aidan Feldman
+ * Licensed under MIT (https://github.com/afeld/bootstrap-toc/blob/gh-pages/LICENSE.md) */
+!function(a){"use strict";window.Toc={helpers:{findOrFilter:function(e,t){var n=e.find(t);return e.filter(t).add(n).filter(":not([data-toc-skip])")},generateUniqueIdBase:function(e){return a(e).text().trim().replace(/\'/gi,"").replace(/[& +$,:;=?@"#{}|^~[`%!'<>\]\.\/\(\)\*\\\n\t\b\v]/g,"-").replace(/-{2,}/g,"-").substring(0,64).replace(/^-+|-+$/gm,"").toLowerCase()||e.tagName.toLowerCase()},generateUniqueId:function(e){for(var t=this.generateUniqueIdBase(e),n=0;;n++){var r=t;if(0<n&&(r+="-"+n),!document.getElementById(r))return r}},generateAnchor:function(e){if(e.id)return e.id;var t=this.generateUniqueId(e);return e.id=t},createNavList:function(){return a('<ul class="nav navbar-nav"></ul>')},createChildNavList:function(e){var t=this.createNavList();return e.append(t),t},generateNavEl:function(e,t){var n=a('<a class="nav-link"></a>');n.attr("href","#"+e),n.text(t);var r=a("<li></li>");return r.append(n),r},generateNavItem:function(e){var t=this.generateAnchor(e),n=a(e),r=n.data("toc-text")||n.text();return this.generateNavEl(t,r)},getTopLevel:function(e){for(var t=1;t<=6;t++){if(1<this.findOrFilter(e,"h"+t).length)return t}return 1},getHeadings:function(e,t){var n="h"+t,r="h"+(t+1);return this.findOrFilter(e,n+","+r)},getNavLevel:function(e){return parseInt(e.tagName.charAt(1),10)},populateNav:function(r,a,e){var i,s=r,c=this;e.each(function(e,t){var n=c.generateNavItem(t);c.getNavLevel(t)===a?s=r:i&&s===r&&(s=c.createChildNavList(i)),s.append(n),i=n})},parseOps:function(e){var t;return(t=e.jquery?{$nav:e}:e).$scope=t.$scope||a(document.body),t}},init:function(e){(e=this.helpers.parseOps(e)).$nav.attr("data-toggle","toc");var t=this.helpers.createChildNavList(e.$nav),n=this.helpers.getTopLevel(e.$scope),r=this.helpers.getHeadings(e.$scope,n);this.helpers.populateNav(t,n,r)}},a(function(){a('nav[data-toggle="toc"]').each(function(e,t){var n=a(t);Toc.init(n)})})}(jQuery);
\ No newline at end of file
diff --git a/deps/clipboard.js-2.0.11/clipboard.min.js b/deps/clipboard.js-2.0.11/clipboard.min.js
new file mode 100644
index 00000000..1103f811
--- /dev/null
+++ b/deps/clipboard.js-2.0.11/clipboard.min.js
@@ -0,0 +1,7 @@
+/*!
+ * clipboard.js v2.0.11
+ * https://clipboardjs.com/
+ *
+ * Licensed MIT © Zeno Rocha
+ */
+!function(t,e){"object"==typeof exports&&"object"==typeof module?module.exports=e():"function"==typeof define&&define.amd?define([],e):"object"==typeof exports?exports.ClipboardJS=e():t.ClipboardJS=e()}(this,function(){return n={686:function(t,e,n){"use strict";n.d(e,{default:function(){return b}});var e=n(279),i=n.n(e),e=n(370),u=n.n(e),e=n(817),r=n.n(e);function c(t){try{return document.execCommand(t)}catch(t){return}}var a=function(t){t=r()(t);return c("cut"),t};function o(t,e){var n,o,t=(n=t,o="rtl"===document.documentElement.getAttribute("dir"),(t=document.createElement("textarea")).style.fontSize="12pt",t.style.border="0",t.style.padding="0",t.style.margin="0",t.style.position="absolute",t.style[o?"right":"left"]="-9999px",o=window.pageYOffset||document.documentElement.scrollTop,t.style.top="".concat(o,"px"),t.setAttribute("readonly",""),t.value=n,t);return e.container.appendChild(t),e=r()(t),c("copy"),t.remove(),e}var f=function(t){var e=1<arguments.length&&void 0!==arguments[1]?arguments[1]:{container:document.body},n="";return"string"==typeof t?n=o(t,e):t instanceof HTMLInputElement&&!["text","search","url","tel","password"].includes(null==t?void 0:t.type)?n=o(t.value,e):(n=r()(t),c("copy")),n};function l(t){return(l="function"==typeof Symbol&&"symbol"==typeof Symbol.iterator?function(t){return typeof t}:function(t){return t&&"function"==typeof Symbol&&t.constructor===Symbol&&t!==Symbol.prototype?"symbol":typeof t})(t)}var s=function(){var t=0<arguments.length&&void 0!==arguments[0]?arguments[0]:{},e=t.action,n=void 0===e?"copy":e,o=t.container,e=t.target,t=t.text;if("copy"!==n&&"cut"!==n)throw new Error('Invalid "action" value, use either "copy" or "cut"');if(void 0!==e){if(!e||"object"!==l(e)||1!==e.nodeType)throw new Error('Invalid "target" value, use a valid Element');if("copy"===n&&e.hasAttribute("disabled"))throw new Error('Invalid "target" attribute. Please use "readonly" instead of "disabled" attribute');if("cut"===n&&(e.hasAttribute("readonly")||e.hasAttribute("disabled")))throw new Error('Invalid "target" attribute. You can\'t cut text from elements with "readonly" or "disabled" attributes')}return t?f(t,{container:o}):e?"cut"===n?a(e):f(e,{container:o}):void 0};function p(t){return(p="function"==typeof Symbol&&"symbol"==typeof Symbol.iterator?function(t){return typeof t}:function(t){return t&&"function"==typeof Symbol&&t.constructor===Symbol&&t!==Symbol.prototype?"symbol":typeof t})(t)}function d(t,e){for(var n=0;n<e.length;n++){var o=e[n];o.enumerable=o.enumerable||!1,o.configurable=!0,"value"in o&&(o.writable=!0),Object.defineProperty(t,o.key,o)}}function y(t,e){return(y=Object.setPrototypeOf||function(t,e){return t.__proto__=e,t})(t,e)}function h(n){var o=function(){if("undefined"==typeof Reflect||!Reflect.construct)return!1;if(Reflect.construct.sham)return!1;if("function"==typeof Proxy)return!0;try{return Date.prototype.toString.call(Reflect.construct(Date,[],function(){})),!0}catch(t){return!1}}();return function(){var t,e=v(n);return t=o?(t=v(this).constructor,Reflect.construct(e,arguments,t)):e.apply(this,arguments),e=this,!(t=t)||"object"!==p(t)&&"function"!=typeof t?function(t){if(void 0!==t)return t;throw new ReferenceError("this hasn't been initialised - super() hasn't been called")}(e):t}}function v(t){return(v=Object.setPrototypeOf?Object.getPrototypeOf:function(t){return t.__proto__||Object.getPrototypeOf(t)})(t)}function m(t,e){t="data-clipboard-".concat(t);if(e.hasAttribute(t))return e.getAttribute(t)}var b=function(){!function(t,e){if("function"!=typeof e&&null!==e)throw new TypeError("Super expression must either be null or a function");t.prototype=Object.create(e&&e.prototype,{constructor:{value:t,writable:!0,configurable:!0}}),e&&y(t,e)}(r,i());var t,e,n,o=h(r);function r(t,e){var n;return function(t){if(!(t instanceof r))throw new TypeError("Cannot call a class as a function")}(this),(n=o.call(this)).resolveOptions(e),n.listenClick(t),n}return t=r,n=[{key:"copy",value:function(t){var e=1<arguments.length&&void 0!==arguments[1]?arguments[1]:{container:document.body};return f(t,e)}},{key:"cut",value:function(t){return a(t)}},{key:"isSupported",value:function(){var t=0<arguments.length&&void 0!==arguments[0]?arguments[0]:["copy","cut"],t="string"==typeof t?[t]:t,e=!!document.queryCommandSupported;return t.forEach(function(t){e=e&&!!document.queryCommandSupported(t)}),e}}],(e=[{key:"resolveOptions",value:function(){var t=0<arguments.length&&void 0!==arguments[0]?arguments[0]:{};this.action="function"==typeof t.action?t.action:this.defaultAction,this.target="function"==typeof t.target?t.target:this.defaultTarget,this.text="function"==typeof t.text?t.text:this.defaultText,this.container="object"===p(t.container)?t.container:document.body}},{key:"listenClick",value:function(t){var e=this;this.listener=u()(t,"click",function(t){return e.onClick(t)})}},{key:"onClick",value:function(t){var e=t.delegateTarget||t.currentTarget,n=this.action(e)||"copy",t=s({action:n,container:this.container,target:this.target(e),text:this.text(e)});this.emit(t?"success":"error",{action:n,text:t,trigger:e,clearSelection:function(){e&&e.focus(),window.getSelection().removeAllRanges()}})}},{key:"defaultAction",value:function(t){return m("action",t)}},{key:"defaultTarget",value:function(t){t=m("target",t);if(t)return document.querySelector(t)}},{key:"defaultText",value:function(t){return m("text",t)}},{key:"destroy",value:function(){this.listener.destroy()}}])&&d(t.prototype,e),n&&d(t,n),r}()},828:function(t){var e;"undefined"==typeof Element||Element.prototype.matches||((e=Element.prototype).matches=e.matchesSelector||e.mozMatchesSelector||e.msMatchesSelector||e.oMatchesSelector||e.webkitMatchesSelector),t.exports=function(t,e){for(;t&&9!==t.nodeType;){if("function"==typeof t.matches&&t.matches(e))return t;t=t.parentNode}}},438:function(t,e,n){var u=n(828);function i(t,e,n,o,r){var i=function(e,n,t,o){return function(t){t.delegateTarget=u(t.target,n),t.delegateTarget&&o.call(e,t)}}.apply(this,arguments);return t.addEventListener(n,i,r),{destroy:function(){t.removeEventListener(n,i,r)}}}t.exports=function(t,e,n,o,r){return"function"==typeof t.addEventListener?i.apply(null,arguments):"function"==typeof n?i.bind(null,document).apply(null,arguments):("string"==typeof t&&(t=document.querySelectorAll(t)),Array.prototype.map.call(t,function(t){return i(t,e,n,o,r)}))}},879:function(t,n){n.node=function(t){return void 0!==t&&t instanceof HTMLElement&&1===t.nodeType},n.nodeList=function(t){var e=Object.prototype.toString.call(t);return void 0!==t&&("[object NodeList]"===e||"[object HTMLCollection]"===e)&&"length"in t&&(0===t.length||n.node(t[0]))},n.string=function(t){return"string"==typeof t||t instanceof String},n.fn=function(t){return"[object Function]"===Object.prototype.toString.call(t)}},370:function(t,e,n){var f=n(879),l=n(438);t.exports=function(t,e,n){if(!t&&!e&&!n)throw new Error("Missing required arguments");if(!f.string(e))throw new TypeError("Second argument must be a String");if(!f.fn(n))throw new TypeError("Third argument must be a Function");if(f.node(t))return c=e,a=n,(u=t).addEventListener(c,a),{destroy:function(){u.removeEventListener(c,a)}};if(f.nodeList(t))return o=t,r=e,i=n,Array.prototype.forEach.call(o,function(t){t.addEventListener(r,i)}),{destroy:function(){Array.prototype.forEach.call(o,function(t){t.removeEventListener(r,i)})}};if(f.string(t))return t=t,e=e,n=n,l(document.body,t,e,n);throw new TypeError("First argument must be a String, HTMLElement, HTMLCollection, or NodeList");var o,r,i,u,c,a}},817:function(t){t.exports=function(t){var e,n="SELECT"===t.nodeName?(t.focus(),t.value):"INPUT"===t.nodeName||"TEXTAREA"===t.nodeName?((e=t.hasAttribute("readonly"))||t.setAttribute("readonly",""),t.select(),t.setSelectionRange(0,t.value.length),e||t.removeAttribute("readonly"),t.value):(t.hasAttribute("contenteditable")&&t.focus(),n=window.getSelection(),(e=document.createRange()).selectNodeContents(t),n.removeAllRanges(),n.addRange(e),n.toString());return n}},279:function(t){function e(){}e.prototype={on:function(t,e,n){var o=this.e||(this.e={});return(o[t]||(o[t]=[])).push({fn:e,ctx:n}),this},once:function(t,e,n){var o=this;function r(){o.off(t,r),e.apply(n,arguments)}return r._=e,this.on(t,r,n)},emit:function(t){for(var e=[].slice.call(arguments,1),n=((this.e||(this.e={}))[t]||[]).slice(),o=0,r=n.length;o<r;o++)n[o].fn.apply(n[o].ctx,e);return this},off:function(t,e){var n=this.e||(this.e={}),o=n[t],r=[];if(o&&e)for(var i=0,u=o.length;i<u;i++)o[i].fn!==e&&o[i].fn._!==e&&r.push(o[i]);return r.length?n[t]=r:delete n[t],this}},t.exports=e,t.exports.TinyEmitter=e}},r={},o.n=function(t){var e=t&&t.__esModule?function(){return t.default}:function(){return t};return o.d(e,{a:e}),e},o.d=function(t,e){for(var n in e)o.o(e,n)&&!o.o(t,n)&&Object.defineProperty(t,n,{enumerable:!0,get:e[n]})},o.o=function(t,e){return Object.prototype.hasOwnProperty.call(t,e)},o(686).default;function o(t){if(r[t])return r[t].exports;var e=r[t]={exports:{}};return n[t](e,e.exports,o),e.exports}var n,r});
\ No newline at end of file
diff --git a/deps/data-deps.txt b/deps/data-deps.txt
index 693b82d1..8aa49e21 100644
--- a/deps/data-deps.txt
+++ b/deps/data-deps.txt
@@ -2,3 +2,12 @@
 <meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no" />
 <link href="deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet" />
 <script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script>
+<link href="deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet" />
+<link href="deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet" />
+<script src="deps/headroom-0.11.0/headroom.min.js"></script>
+<script src="deps/headroom-0.11.0/jQuery.headroom.min.js"></script>
+<script src="deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script>
+<script src="deps/clipboard.js-2.0.11/clipboard.min.js"></script>
+<script src="deps/search-1.0.0/autocomplete.jquery.min.js"></script>
+<script src="deps/search-1.0.0/fuse.min.js"></script>
+<script src="deps/search-1.0.0/mark.min.js"></script>
diff --git a/deps/font-awesome-6.4.2/css/all.css b/deps/font-awesome-6.4.2/css/all.css
new file mode 100644
index 00000000..bdb6e3ae
--- /dev/null
+++ b/deps/font-awesome-6.4.2/css/all.css
@@ -0,0 +1,7968 @@
+/*!
+ * Font Awesome Free 6.4.2 by @fontawesome - https://fontawesome.com
+ * License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License)
+ * Copyright 2023 Fonticons, Inc.
+ */
+.fa {
+  font-family: var(--fa-style-family, "Font Awesome 6 Free");
+  font-weight: var(--fa-style, 900); }
+
+.fa,
+.fa-classic,
+.fa-sharp,
+.fas,
+.fa-solid,
+.far,
+.fa-regular,
+.fab,
+.fa-brands {
+  -moz-osx-font-smoothing: grayscale;
+  -webkit-font-smoothing: antialiased;
+  display: var(--fa-display, inline-block);
+  font-style: normal;
+  font-variant: normal;
+  line-height: 1;
+  text-rendering: auto; }
+
+.fas,
+.fa-classic,
+.fa-solid,
+.far,
+.fa-regular {
+  font-family: 'Font Awesome 6 Free'; }
+
+.fab,
+.fa-brands {
+  font-family: 'Font Awesome 6 Brands'; }
+
+.fa-1x {
+  font-size: 1em; }
+
+.fa-2x {
+  font-size: 2em; }
+
+.fa-3x {
+  font-size: 3em; }
+
+.fa-4x {
+  font-size: 4em; }
+
+.fa-5x {
+  font-size: 5em; }
+
+.fa-6x {
+  font-size: 6em; }
+
+.fa-7x {
+  font-size: 7em; }
+
+.fa-8x {
+  font-size: 8em; }
+
+.fa-9x {
+  font-size: 9em; }
+
+.fa-10x {
+  font-size: 10em; }
+
+.fa-2xs {
+  font-size: 0.625em;
+  line-height: 0.1em;
+  vertical-align: 0.225em; }
+
+.fa-xs {
+  font-size: 0.75em;
+  line-height: 0.08333em;
+  vertical-align: 0.125em; }
+
+.fa-sm {
+  font-size: 0.875em;
+  line-height: 0.07143em;
+  vertical-align: 0.05357em; }
+
+.fa-lg {
+  font-size: 1.25em;
+  line-height: 0.05em;
+  vertical-align: -0.075em; }
+
+.fa-xl {
+  font-size: 1.5em;
+  line-height: 0.04167em;
+  vertical-align: -0.125em; }
+
+.fa-2xl {
+  font-size: 2em;
+  line-height: 0.03125em;
+  vertical-align: -0.1875em; }
+
+.fa-fw {
+  text-align: center;
+  width: 1.25em; }
+
+.fa-ul {
+  list-style-type: none;
+  margin-left: var(--fa-li-margin, 2.5em);
+  padding-left: 0; }
+  .fa-ul > li {
+    position: relative; }
+
+.fa-li {
+  left: calc(var(--fa-li-width, 2em) * -1);
+  position: absolute;
+  text-align: center;
+  width: var(--fa-li-width, 2em);
+  line-height: inherit; }
+
+.fa-border {
+  border-color: var(--fa-border-color, #eee);
+  border-radius: var(--fa-border-radius, 0.1em);
+  border-style: var(--fa-border-style, solid);
+  border-width: var(--fa-border-width, 0.08em);
+  padding: var(--fa-border-padding, 0.2em 0.25em 0.15em); }
+
+.fa-pull-left {
+  float: left;
+  margin-right: var(--fa-pull-margin, 0.3em); }
+
+.fa-pull-right {
+  float: right;
+  margin-left: var(--fa-pull-margin, 0.3em); }
+
+.fa-beat {
+  -webkit-animation-name: fa-beat;
+          animation-name: fa-beat;
+  -webkit-animation-delay: var(--fa-animation-delay, 0s);
+          animation-delay: var(--fa-animation-delay, 0s);
+  -webkit-animation-direction: var(--fa-animation-direction, normal);
+          animation-direction: var(--fa-animation-direction, normal);
+  -webkit-animation-duration: var(--fa-animation-duration, 1s);
+          animation-duration: var(--fa-animation-duration, 1s);
+  -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+          animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+  -webkit-animation-timing-function: var(--fa-animation-timing, ease-in-out);
+          animation-timing-function: var(--fa-animation-timing, ease-in-out); }
+
+.fa-bounce {
+  -webkit-animation-name: fa-bounce;
+          animation-name: fa-bounce;
+  -webkit-animation-delay: var(--fa-animation-delay, 0s);
+          animation-delay: var(--fa-animation-delay, 0s);
+  -webkit-animation-direction: var(--fa-animation-direction, normal);
+          animation-direction: var(--fa-animation-direction, normal);
+  -webkit-animation-duration: var(--fa-animation-duration, 1s);
+          animation-duration: var(--fa-animation-duration, 1s);
+  -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+          animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+  -webkit-animation-timing-function: var(--fa-animation-timing, cubic-bezier(0.28, 0.84, 0.42, 1));
+          animation-timing-function: var(--fa-animation-timing, cubic-bezier(0.28, 0.84, 0.42, 1)); }
+
+.fa-fade {
+  -webkit-animation-name: fa-fade;
+          animation-name: fa-fade;
+  -webkit-animation-delay: var(--fa-animation-delay, 0s);
+          animation-delay: var(--fa-animation-delay, 0s);
+  -webkit-animation-direction: var(--fa-animation-direction, normal);
+          animation-direction: var(--fa-animation-direction, normal);
+  -webkit-animation-duration: var(--fa-animation-duration, 1s);
+          animation-duration: var(--fa-animation-duration, 1s);
+  -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+          animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+  -webkit-animation-timing-function: var(--fa-animation-timing, cubic-bezier(0.4, 0, 0.6, 1));
+          animation-timing-function: var(--fa-animation-timing, cubic-bezier(0.4, 0, 0.6, 1)); }
+
+.fa-beat-fade {
+  -webkit-animation-name: fa-beat-fade;
+          animation-name: fa-beat-fade;
+  -webkit-animation-delay: var(--fa-animation-delay, 0s);
+          animation-delay: var(--fa-animation-delay, 0s);
+  -webkit-animation-direction: var(--fa-animation-direction, normal);
+          animation-direction: var(--fa-animation-direction, normal);
+  -webkit-animation-duration: var(--fa-animation-duration, 1s);
+          animation-duration: var(--fa-animation-duration, 1s);
+  -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+          animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+  -webkit-animation-timing-function: var(--fa-animation-timing, cubic-bezier(0.4, 0, 0.6, 1));
+          animation-timing-function: var(--fa-animation-timing, cubic-bezier(0.4, 0, 0.6, 1)); }
+
+.fa-flip {
+  -webkit-animation-name: fa-flip;
+          animation-name: fa-flip;
+  -webkit-animation-delay: var(--fa-animation-delay, 0s);
+          animation-delay: var(--fa-animation-delay, 0s);
+  -webkit-animation-direction: var(--fa-animation-direction, normal);
+          animation-direction: var(--fa-animation-direction, normal);
+  -webkit-animation-duration: var(--fa-animation-duration, 1s);
+          animation-duration: var(--fa-animation-duration, 1s);
+  -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+          animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+  -webkit-animation-timing-function: var(--fa-animation-timing, ease-in-out);
+          animation-timing-function: var(--fa-animation-timing, ease-in-out); }
+
+.fa-shake {
+  -webkit-animation-name: fa-shake;
+          animation-name: fa-shake;
+  -webkit-animation-delay: var(--fa-animation-delay, 0s);
+          animation-delay: var(--fa-animation-delay, 0s);
+  -webkit-animation-direction: var(--fa-animation-direction, normal);
+          animation-direction: var(--fa-animation-direction, normal);
+  -webkit-animation-duration: var(--fa-animation-duration, 1s);
+          animation-duration: var(--fa-animation-duration, 1s);
+  -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+          animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+  -webkit-animation-timing-function: var(--fa-animation-timing, linear);
+          animation-timing-function: var(--fa-animation-timing, linear); }
+
+.fa-spin {
+  -webkit-animation-name: fa-spin;
+          animation-name: fa-spin;
+  -webkit-animation-delay: var(--fa-animation-delay, 0s);
+          animation-delay: var(--fa-animation-delay, 0s);
+  -webkit-animation-direction: var(--fa-animation-direction, normal);
+          animation-direction: var(--fa-animation-direction, normal);
+  -webkit-animation-duration: var(--fa-animation-duration, 2s);
+          animation-duration: var(--fa-animation-duration, 2s);
+  -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+          animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+  -webkit-animation-timing-function: var(--fa-animation-timing, linear);
+          animation-timing-function: var(--fa-animation-timing, linear); }
+
+.fa-spin-reverse {
+  --fa-animation-direction: reverse; }
+
+.fa-pulse,
+.fa-spin-pulse {
+  -webkit-animation-name: fa-spin;
+          animation-name: fa-spin;
+  -webkit-animation-direction: var(--fa-animation-direction, normal);
+          animation-direction: var(--fa-animation-direction, normal);
+  -webkit-animation-duration: var(--fa-animation-duration, 1s);
+          animation-duration: var(--fa-animation-duration, 1s);
+  -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+          animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+  -webkit-animation-timing-function: var(--fa-animation-timing, steps(8));
+          animation-timing-function: var(--fa-animation-timing, steps(8)); }
+
+@media (prefers-reduced-motion: reduce) {
+  .fa-beat,
+  .fa-bounce,
+  .fa-fade,
+  .fa-beat-fade,
+  .fa-flip,
+  .fa-pulse,
+  .fa-shake,
+  .fa-spin,
+  .fa-spin-pulse {
+    -webkit-animation-delay: -1ms;
+            animation-delay: -1ms;
+    -webkit-animation-duration: 1ms;
+            animation-duration: 1ms;
+    -webkit-animation-iteration-count: 1;
+            animation-iteration-count: 1;
+    -webkit-transition-delay: 0s;
+            transition-delay: 0s;
+    -webkit-transition-duration: 0s;
+            transition-duration: 0s; } }
+
+@-webkit-keyframes fa-beat {
+  0%, 90% {
+    -webkit-transform: scale(1);
+            transform: scale(1); }
+  45% {
+    -webkit-transform: scale(var(--fa-beat-scale, 1.25));
+            transform: scale(var(--fa-beat-scale, 1.25)); } }
+
+@keyframes fa-beat {
+  0%, 90% {
+    -webkit-transform: scale(1);
+            transform: scale(1); }
+  45% {
+    -webkit-transform: scale(var(--fa-beat-scale, 1.25));
+            transform: scale(var(--fa-beat-scale, 1.25)); } }
+
+@-webkit-keyframes fa-bounce {
+  0% {
+    -webkit-transform: scale(1, 1) translateY(0);
+            transform: scale(1, 1) translateY(0); }
+  10% {
+    -webkit-transform: scale(var(--fa-bounce-start-scale-x, 1.1), var(--fa-bounce-start-scale-y, 0.9)) translateY(0);
+            transform: scale(var(--fa-bounce-start-scale-x, 1.1), var(--fa-bounce-start-scale-y, 0.9)) translateY(0); }
+  30% {
+    -webkit-transform: scale(var(--fa-bounce-jump-scale-x, 0.9), var(--fa-bounce-jump-scale-y, 1.1)) translateY(var(--fa-bounce-height, -0.5em));
+            transform: scale(var(--fa-bounce-jump-scale-x, 0.9), var(--fa-bounce-jump-scale-y, 1.1)) translateY(var(--fa-bounce-height, -0.5em)); }
+  50% {
+    -webkit-transform: scale(var(--fa-bounce-land-scale-x, 1.05), var(--fa-bounce-land-scale-y, 0.95)) translateY(0);
+            transform: scale(var(--fa-bounce-land-scale-x, 1.05), var(--fa-bounce-land-scale-y, 0.95)) translateY(0); }
+  57% {
+    -webkit-transform: scale(1, 1) translateY(var(--fa-bounce-rebound, -0.125em));
+            transform: scale(1, 1) translateY(var(--fa-bounce-rebound, -0.125em)); }
+  64% {
+    -webkit-transform: scale(1, 1) translateY(0);
+            transform: scale(1, 1) translateY(0); }
+  100% {
+    -webkit-transform: scale(1, 1) translateY(0);
+            transform: scale(1, 1) translateY(0); } }
+
+@keyframes fa-bounce {
+  0% {
+    -webkit-transform: scale(1, 1) translateY(0);
+            transform: scale(1, 1) translateY(0); }
+  10% {
+    -webkit-transform: scale(var(--fa-bounce-start-scale-x, 1.1), var(--fa-bounce-start-scale-y, 0.9)) translateY(0);
+            transform: scale(var(--fa-bounce-start-scale-x, 1.1), var(--fa-bounce-start-scale-y, 0.9)) translateY(0); }
+  30% {
+    -webkit-transform: scale(var(--fa-bounce-jump-scale-x, 0.9), var(--fa-bounce-jump-scale-y, 1.1)) translateY(var(--fa-bounce-height, -0.5em));
+            transform: scale(var(--fa-bounce-jump-scale-x, 0.9), var(--fa-bounce-jump-scale-y, 1.1)) translateY(var(--fa-bounce-height, -0.5em)); }
+  50% {
+    -webkit-transform: scale(var(--fa-bounce-land-scale-x, 1.05), var(--fa-bounce-land-scale-y, 0.95)) translateY(0);
+            transform: scale(var(--fa-bounce-land-scale-x, 1.05), var(--fa-bounce-land-scale-y, 0.95)) translateY(0); }
+  57% {
+    -webkit-transform: scale(1, 1) translateY(var(--fa-bounce-rebound, -0.125em));
+            transform: scale(1, 1) translateY(var(--fa-bounce-rebound, -0.125em)); }
+  64% {
+    -webkit-transform: scale(1, 1) translateY(0);
+            transform: scale(1, 1) translateY(0); }
+  100% {
+    -webkit-transform: scale(1, 1) translateY(0);
+            transform: scale(1, 1) translateY(0); } }
+
+@-webkit-keyframes fa-fade {
+  50% {
+    opacity: var(--fa-fade-opacity, 0.4); } }
+
+@keyframes fa-fade {
+  50% {
+    opacity: var(--fa-fade-opacity, 0.4); } }
+
+@-webkit-keyframes fa-beat-fade {
+  0%, 100% {
+    opacity: var(--fa-beat-fade-opacity, 0.4);
+    -webkit-transform: scale(1);
+            transform: scale(1); }
+  50% {
+    opacity: 1;
+    -webkit-transform: scale(var(--fa-beat-fade-scale, 1.125));
+            transform: scale(var(--fa-beat-fade-scale, 1.125)); } }
+
+@keyframes fa-beat-fade {
+  0%, 100% {
+    opacity: var(--fa-beat-fade-opacity, 0.4);
+    -webkit-transform: scale(1);
+            transform: scale(1); }
+  50% {
+    opacity: 1;
+    -webkit-transform: scale(var(--fa-beat-fade-scale, 1.125));
+            transform: scale(var(--fa-beat-fade-scale, 1.125)); } }
+
+@-webkit-keyframes fa-flip {
+  50% {
+    -webkit-transform: rotate3d(var(--fa-flip-x, 0), var(--fa-flip-y, 1), var(--fa-flip-z, 0), var(--fa-flip-angle, -180deg));
+            transform: rotate3d(var(--fa-flip-x, 0), var(--fa-flip-y, 1), var(--fa-flip-z, 0), var(--fa-flip-angle, -180deg)); } }
+
+@keyframes fa-flip {
+  50% {
+    -webkit-transform: rotate3d(var(--fa-flip-x, 0), var(--fa-flip-y, 1), var(--fa-flip-z, 0), var(--fa-flip-angle, -180deg));
+            transform: rotate3d(var(--fa-flip-x, 0), var(--fa-flip-y, 1), var(--fa-flip-z, 0), var(--fa-flip-angle, -180deg)); } }
+
+@-webkit-keyframes fa-shake {
+  0% {
+    -webkit-transform: rotate(-15deg);
+            transform: rotate(-15deg); }
+  4% {
+    -webkit-transform: rotate(15deg);
+            transform: rotate(15deg); }
+  8%, 24% {
+    -webkit-transform: rotate(-18deg);
+            transform: rotate(-18deg); }
+  12%, 28% {
+    -webkit-transform: rotate(18deg);
+            transform: rotate(18deg); }
+  16% {
+    -webkit-transform: rotate(-22deg);
+            transform: rotate(-22deg); }
+  20% {
+    -webkit-transform: rotate(22deg);
+            transform: rotate(22deg); }
+  32% {
+    -webkit-transform: rotate(-12deg);
+            transform: rotate(-12deg); }
+  36% {
+    -webkit-transform: rotate(12deg);
+            transform: rotate(12deg); }
+  40%, 100% {
+    -webkit-transform: rotate(0deg);
+            transform: rotate(0deg); } }
+
+@keyframes fa-shake {
+  0% {
+    -webkit-transform: rotate(-15deg);
+            transform: rotate(-15deg); }
+  4% {
+    -webkit-transform: rotate(15deg);
+            transform: rotate(15deg); }
+  8%, 24% {
+    -webkit-transform: rotate(-18deg);
+            transform: rotate(-18deg); }
+  12%, 28% {
+    -webkit-transform: rotate(18deg);
+            transform: rotate(18deg); }
+  16% {
+    -webkit-transform: rotate(-22deg);
+            transform: rotate(-22deg); }
+  20% {
+    -webkit-transform: rotate(22deg);
+            transform: rotate(22deg); }
+  32% {
+    -webkit-transform: rotate(-12deg);
+            transform: rotate(-12deg); }
+  36% {
+    -webkit-transform: rotate(12deg);
+            transform: rotate(12deg); }
+  40%, 100% {
+    -webkit-transform: rotate(0deg);
+            transform: rotate(0deg); } }
+
+@-webkit-keyframes fa-spin {
+  0% {
+    -webkit-transform: rotate(0deg);
+            transform: rotate(0deg); }
+  100% {
+    -webkit-transform: rotate(360deg);
+            transform: rotate(360deg); } }
+
+@keyframes fa-spin {
+  0% {
+    -webkit-transform: rotate(0deg);
+            transform: rotate(0deg); }
+  100% {
+    -webkit-transform: rotate(360deg);
+            transform: rotate(360deg); } }
+
+.fa-rotate-90 {
+  -webkit-transform: rotate(90deg);
+          transform: rotate(90deg); }
+
+.fa-rotate-180 {
+  -webkit-transform: rotate(180deg);
+          transform: rotate(180deg); }
+
+.fa-rotate-270 {
+  -webkit-transform: rotate(270deg);
+          transform: rotate(270deg); }
+
+.fa-flip-horizontal {
+  -webkit-transform: scale(-1, 1);
+          transform: scale(-1, 1); }
+
+.fa-flip-vertical {
+  -webkit-transform: scale(1, -1);
+          transform: scale(1, -1); }
+
+.fa-flip-both,
+.fa-flip-horizontal.fa-flip-vertical {
+  -webkit-transform: scale(-1, -1);
+          transform: scale(-1, -1); }
+
+.fa-rotate-by {
+  -webkit-transform: rotate(var(--fa-rotate-angle, none));
+          transform: rotate(var(--fa-rotate-angle, none)); }
+
+.fa-stack {
+  display: inline-block;
+  height: 2em;
+  line-height: 2em;
+  position: relative;
+  vertical-align: middle;
+  width: 2.5em; }
+
+.fa-stack-1x,
+.fa-stack-2x {
+  left: 0;
+  position: absolute;
+  text-align: center;
+  width: 100%;
+  z-index: var(--fa-stack-z-index, auto); }
+
+.fa-stack-1x {
+  line-height: inherit; }
+
+.fa-stack-2x {
+  font-size: 2em; }
+
+.fa-inverse {
+  color: var(--fa-inverse, #fff); }
+
+/* Font Awesome uses the Unicode Private Use Area (PUA) to ensure screen
+readers do not read off random characters that represent icons */
+
+.fa-0::before {
+  content: "\30"; }
+
+.fa-1::before {
+  content: "\31"; }
+
+.fa-2::before {
+  content: "\32"; }
+
+.fa-3::before {
+  content: "\33"; }
+
+.fa-4::before {
+  content: "\34"; }
+
+.fa-5::before {
+  content: "\35"; }
+
+.fa-6::before {
+  content: "\36"; }
+
+.fa-7::before {
+  content: "\37"; }
+
+.fa-8::before {
+  content: "\38"; }
+
+.fa-9::before {
+  content: "\39"; }
+
+.fa-fill-drip::before {
+  content: "\f576"; }
+
+.fa-arrows-to-circle::before {
+  content: "\e4bd"; }
+
+.fa-circle-chevron-right::before {
+  content: "\f138"; }
+
+.fa-chevron-circle-right::before {
+  content: "\f138"; }
+
+.fa-at::before {
+  content: "\40"; }
+
+.fa-trash-can::before {
+  content: "\f2ed"; }
+
+.fa-trash-alt::before {
+  content: "\f2ed"; }
+
+.fa-text-height::before {
+  content: "\f034"; }
+
+.fa-user-xmark::before {
+  content: "\f235"; }
+
+.fa-user-times::before {
+  content: "\f235"; }
+
+.fa-stethoscope::before {
+  content: "\f0f1"; }
+
+.fa-message::before {
+  content: "\f27a"; }
+
+.fa-comment-alt::before {
+  content: "\f27a"; }
+
+.fa-info::before {
+  content: "\f129"; }
+
+.fa-down-left-and-up-right-to-center::before {
+  content: "\f422"; }
+
+.fa-compress-alt::before {
+  content: "\f422"; }
+
+.fa-explosion::before {
+  content: "\e4e9"; }
+
+.fa-file-lines::before {
+  content: "\f15c"; }
+
+.fa-file-alt::before {
+  content: "\f15c"; }
+
+.fa-file-text::before {
+  content: "\f15c"; }
+
+.fa-wave-square::before {
+  content: "\f83e"; }
+
+.fa-ring::before {
+  content: "\f70b"; }
+
+.fa-building-un::before {
+  content: "\e4d9"; }
+
+.fa-dice-three::before {
+  content: "\f527"; }
+
+.fa-calendar-days::before {
+  content: "\f073"; }
+
+.fa-calendar-alt::before {
+  content: "\f073"; }
+
+.fa-anchor-circle-check::before {
+  content: "\e4aa"; }
+
+.fa-building-circle-arrow-right::before {
+  content: "\e4d1"; }
+
+.fa-volleyball::before {
+  content: "\f45f"; }
+
+.fa-volleyball-ball::before {
+  content: "\f45f"; }
+
+.fa-arrows-up-to-line::before {
+  content: "\e4c2"; }
+
+.fa-sort-down::before {
+  content: "\f0dd"; }
+
+.fa-sort-desc::before {
+  content: "\f0dd"; }
+
+.fa-circle-minus::before {
+  content: "\f056"; }
+
+.fa-minus-circle::before {
+  content: "\f056"; }
+
+.fa-door-open::before {
+  content: "\f52b"; }
+
+.fa-right-from-bracket::before {
+  content: "\f2f5"; }
+
+.fa-sign-out-alt::before {
+  content: "\f2f5"; }
+
+.fa-atom::before {
+  content: "\f5d2"; }
+
+.fa-soap::before {
+  content: "\e06e"; }
+
+.fa-icons::before {
+  content: "\f86d"; }
+
+.fa-heart-music-camera-bolt::before {
+  content: "\f86d"; }
+
+.fa-microphone-lines-slash::before {
+  content: "\f539"; }
+
+.fa-microphone-alt-slash::before {
+  content: "\f539"; }
+
+.fa-bridge-circle-check::before {
+  content: "\e4c9"; }
+
+.fa-pump-medical::before {
+  content: "\e06a"; }
+
+.fa-fingerprint::before {
+  content: "\f577"; }
+
+.fa-hand-point-right::before {
+  content: "\f0a4"; }
+
+.fa-magnifying-glass-location::before {
+  content: "\f689"; }
+
+.fa-search-location::before {
+  content: "\f689"; }
+
+.fa-forward-step::before {
+  content: "\f051"; }
+
+.fa-step-forward::before {
+  content: "\f051"; }
+
+.fa-face-smile-beam::before {
+  content: "\f5b8"; }
+
+.fa-smile-beam::before {
+  content: "\f5b8"; }
+
+.fa-flag-checkered::before {
+  content: "\f11e"; }
+
+.fa-football::before {
+  content: "\f44e"; }
+
+.fa-football-ball::before {
+  content: "\f44e"; }
+
+.fa-school-circle-exclamation::before {
+  content: "\e56c"; }
+
+.fa-crop::before {
+  content: "\f125"; }
+
+.fa-angles-down::before {
+  content: "\f103"; }
+
+.fa-angle-double-down::before {
+  content: "\f103"; }
+
+.fa-users-rectangle::before {
+  content: "\e594"; }
+
+.fa-people-roof::before {
+  content: "\e537"; }
+
+.fa-people-line::before {
+  content: "\e534"; }
+
+.fa-beer-mug-empty::before {
+  content: "\f0fc"; }
+
+.fa-beer::before {
+  content: "\f0fc"; }
+
+.fa-diagram-predecessor::before {
+  content: "\e477"; }
+
+.fa-arrow-up-long::before {
+  content: "\f176"; }
+
+.fa-long-arrow-up::before {
+  content: "\f176"; }
+
+.fa-fire-flame-simple::before {
+  content: "\f46a"; }
+
+.fa-burn::before {
+  content: "\f46a"; }
+
+.fa-person::before {
+  content: "\f183"; }
+
+.fa-male::before {
+  content: "\f183"; }
+
+.fa-laptop::before {
+  content: "\f109"; }
+
+.fa-file-csv::before {
+  content: "\f6dd"; }
+
+.fa-menorah::before {
+  content: "\f676"; }
+
+.fa-truck-plane::before {
+  content: "\e58f"; }
+
+.fa-record-vinyl::before {
+  content: "\f8d9"; }
+
+.fa-face-grin-stars::before {
+  content: "\f587"; }
+
+.fa-grin-stars::before {
+  content: "\f587"; }
+
+.fa-bong::before {
+  content: "\f55c"; }
+
+.fa-spaghetti-monster-flying::before {
+  content: "\f67b"; }
+
+.fa-pastafarianism::before {
+  content: "\f67b"; }
+
+.fa-arrow-down-up-across-line::before {
+  content: "\e4af"; }
+
+.fa-spoon::before {
+  content: "\f2e5"; }
+
+.fa-utensil-spoon::before {
+  content: "\f2e5"; }
+
+.fa-jar-wheat::before {
+  content: "\e517"; }
+
+.fa-envelopes-bulk::before {
+  content: "\f674"; }
+
+.fa-mail-bulk::before {
+  content: "\f674"; }
+
+.fa-file-circle-exclamation::before {
+  content: "\e4eb"; }
+
+.fa-circle-h::before {
+  content: "\f47e"; }
+
+.fa-hospital-symbol::before {
+  content: "\f47e"; }
+
+.fa-pager::before {
+  content: "\f815"; }
+
+.fa-address-book::before {
+  content: "\f2b9"; }
+
+.fa-contact-book::before {
+  content: "\f2b9"; }
+
+.fa-strikethrough::before {
+  content: "\f0cc"; }
+
+.fa-k::before {
+  content: "\4b"; }
+
+.fa-landmark-flag::before {
+  content: "\e51c"; }
+
+.fa-pencil::before {
+  content: "\f303"; }
+
+.fa-pencil-alt::before {
+  content: "\f303"; }
+
+.fa-backward::before {
+  content: "\f04a"; }
+
+.fa-caret-right::before {
+  content: "\f0da"; }
+
+.fa-comments::before {
+  content: "\f086"; }
+
+.fa-paste::before {
+  content: "\f0ea"; }
+
+.fa-file-clipboard::before {
+  content: "\f0ea"; }
+
+.fa-code-pull-request::before {
+  content: "\e13c"; }
+
+.fa-clipboard-list::before {
+  content: "\f46d"; }
+
+.fa-truck-ramp-box::before {
+  content: "\f4de"; }
+
+.fa-truck-loading::before {
+  content: "\f4de"; }
+
+.fa-user-check::before {
+  content: "\f4fc"; }
+
+.fa-vial-virus::before {
+  content: "\e597"; }
+
+.fa-sheet-plastic::before {
+  content: "\e571"; }
+
+.fa-blog::before {
+  content: "\f781"; }
+
+.fa-user-ninja::before {
+  content: "\f504"; }
+
+.fa-person-arrow-up-from-line::before {
+  content: "\e539"; }
+
+.fa-scroll-torah::before {
+  content: "\f6a0"; }
+
+.fa-torah::before {
+  content: "\f6a0"; }
+
+.fa-broom-ball::before {
+  content: "\f458"; }
+
+.fa-quidditch::before {
+  content: "\f458"; }
+
+.fa-quidditch-broom-ball::before {
+  content: "\f458"; }
+
+.fa-toggle-off::before {
+  content: "\f204"; }
+
+.fa-box-archive::before {
+  content: "\f187"; }
+
+.fa-archive::before {
+  content: "\f187"; }
+
+.fa-person-drowning::before {
+  content: "\e545"; }
+
+.fa-arrow-down-9-1::before {
+  content: "\f886"; }
+
+.fa-sort-numeric-desc::before {
+  content: "\f886"; }
+
+.fa-sort-numeric-down-alt::before {
+  content: "\f886"; }
+
+.fa-face-grin-tongue-squint::before {
+  content: "\f58a"; }
+
+.fa-grin-tongue-squint::before {
+  content: "\f58a"; }
+
+.fa-spray-can::before {
+  content: "\f5bd"; }
+
+.fa-truck-monster::before {
+  content: "\f63b"; }
+
+.fa-w::before {
+  content: "\57"; }
+
+.fa-earth-africa::before {
+  content: "\f57c"; }
+
+.fa-globe-africa::before {
+  content: "\f57c"; }
+
+.fa-rainbow::before {
+  content: "\f75b"; }
+
+.fa-circle-notch::before {
+  content: "\f1ce"; }
+
+.fa-tablet-screen-button::before {
+  content: "\f3fa"; }
+
+.fa-tablet-alt::before {
+  content: "\f3fa"; }
+
+.fa-paw::before {
+  content: "\f1b0"; }
+
+.fa-cloud::before {
+  content: "\f0c2"; }
+
+.fa-trowel-bricks::before {
+  content: "\e58a"; }
+
+.fa-face-flushed::before {
+  content: "\f579"; }
+
+.fa-flushed::before {
+  content: "\f579"; }
+
+.fa-hospital-user::before {
+  content: "\f80d"; }
+
+.fa-tent-arrow-left-right::before {
+  content: "\e57f"; }
+
+.fa-gavel::before {
+  content: "\f0e3"; }
+
+.fa-legal::before {
+  content: "\f0e3"; }
+
+.fa-binoculars::before {
+  content: "\f1e5"; }
+
+.fa-microphone-slash::before {
+  content: "\f131"; }
+
+.fa-box-tissue::before {
+  content: "\e05b"; }
+
+.fa-motorcycle::before {
+  content: "\f21c"; }
+
+.fa-bell-concierge::before {
+  content: "\f562"; }
+
+.fa-concierge-bell::before {
+  content: "\f562"; }
+
+.fa-pen-ruler::before {
+  content: "\f5ae"; }
+
+.fa-pencil-ruler::before {
+  content: "\f5ae"; }
+
+.fa-people-arrows::before {
+  content: "\e068"; }
+
+.fa-people-arrows-left-right::before {
+  content: "\e068"; }
+
+.fa-mars-and-venus-burst::before {
+  content: "\e523"; }
+
+.fa-square-caret-right::before {
+  content: "\f152"; }
+
+.fa-caret-square-right::before {
+  content: "\f152"; }
+
+.fa-scissors::before {
+  content: "\f0c4"; }
+
+.fa-cut::before {
+  content: "\f0c4"; }
+
+.fa-sun-plant-wilt::before {
+  content: "\e57a"; }
+
+.fa-toilets-portable::before {
+  content: "\e584"; }
+
+.fa-hockey-puck::before {
+  content: "\f453"; }
+
+.fa-table::before {
+  content: "\f0ce"; }
+
+.fa-magnifying-glass-arrow-right::before {
+  content: "\e521"; }
+
+.fa-tachograph-digital::before {
+  content: "\f566"; }
+
+.fa-digital-tachograph::before {
+  content: "\f566"; }
+
+.fa-users-slash::before {
+  content: "\e073"; }
+
+.fa-clover::before {
+  content: "\e139"; }
+
+.fa-reply::before {
+  content: "\f3e5"; }
+
+.fa-mail-reply::before {
+  content: "\f3e5"; }
+
+.fa-star-and-crescent::before {
+  content: "\f699"; }
+
+.fa-house-fire::before {
+  content: "\e50c"; }
+
+.fa-square-minus::before {
+  content: "\f146"; }
+
+.fa-minus-square::before {
+  content: "\f146"; }
+
+.fa-helicopter::before {
+  content: "\f533"; }
+
+.fa-compass::before {
+  content: "\f14e"; }
+
+.fa-square-caret-down::before {
+  content: "\f150"; }
+
+.fa-caret-square-down::before {
+  content: "\f150"; }
+
+.fa-file-circle-question::before {
+  content: "\e4ef"; }
+
+.fa-laptop-code::before {
+  content: "\f5fc"; }
+
+.fa-swatchbook::before {
+  content: "\f5c3"; }
+
+.fa-prescription-bottle::before {
+  content: "\f485"; }
+
+.fa-bars::before {
+  content: "\f0c9"; }
+
+.fa-navicon::before {
+  content: "\f0c9"; }
+
+.fa-people-group::before {
+  content: "\e533"; }
+
+.fa-hourglass-end::before {
+  content: "\f253"; }
+
+.fa-hourglass-3::before {
+  content: "\f253"; }
+
+.fa-heart-crack::before {
+  content: "\f7a9"; }
+
+.fa-heart-broken::before {
+  content: "\f7a9"; }
+
+.fa-square-up-right::before {
+  content: "\f360"; }
+
+.fa-external-link-square-alt::before {
+  content: "\f360"; }
+
+.fa-face-kiss-beam::before {
+  content: "\f597"; }
+
+.fa-kiss-beam::before {
+  content: "\f597"; }
+
+.fa-film::before {
+  content: "\f008"; }
+
+.fa-ruler-horizontal::before {
+  content: "\f547"; }
+
+.fa-people-robbery::before {
+  content: "\e536"; }
+
+.fa-lightbulb::before {
+  content: "\f0eb"; }
+
+.fa-caret-left::before {
+  content: "\f0d9"; }
+
+.fa-circle-exclamation::before {
+  content: "\f06a"; }
+
+.fa-exclamation-circle::before {
+  content: "\f06a"; }
+
+.fa-school-circle-xmark::before {
+  content: "\e56d"; }
+
+.fa-arrow-right-from-bracket::before {
+  content: "\f08b"; }
+
+.fa-sign-out::before {
+  content: "\f08b"; }
+
+.fa-circle-chevron-down::before {
+  content: "\f13a"; }
+
+.fa-chevron-circle-down::before {
+  content: "\f13a"; }
+
+.fa-unlock-keyhole::before {
+  content: "\f13e"; }
+
+.fa-unlock-alt::before {
+  content: "\f13e"; }
+
+.fa-cloud-showers-heavy::before {
+  content: "\f740"; }
+
+.fa-headphones-simple::before {
+  content: "\f58f"; }
+
+.fa-headphones-alt::before {
+  content: "\f58f"; }
+
+.fa-sitemap::before {
+  content: "\f0e8"; }
+
+.fa-circle-dollar-to-slot::before {
+  content: "\f4b9"; }
+
+.fa-donate::before {
+  content: "\f4b9"; }
+
+.fa-memory::before {
+  content: "\f538"; }
+
+.fa-road-spikes::before {
+  content: "\e568"; }
+
+.fa-fire-burner::before {
+  content: "\e4f1"; }
+
+.fa-flag::before {
+  content: "\f024"; }
+
+.fa-hanukiah::before {
+  content: "\f6e6"; }
+
+.fa-feather::before {
+  content: "\f52d"; }
+
+.fa-volume-low::before {
+  content: "\f027"; }
+
+.fa-volume-down::before {
+  content: "\f027"; }
+
+.fa-comment-slash::before {
+  content: "\f4b3"; }
+
+.fa-cloud-sun-rain::before {
+  content: "\f743"; }
+
+.fa-compress::before {
+  content: "\f066"; }
+
+.fa-wheat-awn::before {
+  content: "\e2cd"; }
+
+.fa-wheat-alt::before {
+  content: "\e2cd"; }
+
+.fa-ankh::before {
+  content: "\f644"; }
+
+.fa-hands-holding-child::before {
+  content: "\e4fa"; }
+
+.fa-asterisk::before {
+  content: "\2a"; }
+
+.fa-square-check::before {
+  content: "\f14a"; }
+
+.fa-check-square::before {
+  content: "\f14a"; }
+
+.fa-peseta-sign::before {
+  content: "\e221"; }
+
+.fa-heading::before {
+  content: "\f1dc"; }
+
+.fa-header::before {
+  content: "\f1dc"; }
+
+.fa-ghost::before {
+  content: "\f6e2"; }
+
+.fa-list::before {
+  content: "\f03a"; }
+
+.fa-list-squares::before {
+  content: "\f03a"; }
+
+.fa-square-phone-flip::before {
+  content: "\f87b"; }
+
+.fa-phone-square-alt::before {
+  content: "\f87b"; }
+
+.fa-cart-plus::before {
+  content: "\f217"; }
+
+.fa-gamepad::before {
+  content: "\f11b"; }
+
+.fa-circle-dot::before {
+  content: "\f192"; }
+
+.fa-dot-circle::before {
+  content: "\f192"; }
+
+.fa-face-dizzy::before {
+  content: "\f567"; }
+
+.fa-dizzy::before {
+  content: "\f567"; }
+
+.fa-egg::before {
+  content: "\f7fb"; }
+
+.fa-house-medical-circle-xmark::before {
+  content: "\e513"; }
+
+.fa-campground::before {
+  content: "\f6bb"; }
+
+.fa-folder-plus::before {
+  content: "\f65e"; }
+
+.fa-futbol::before {
+  content: "\f1e3"; }
+
+.fa-futbol-ball::before {
+  content: "\f1e3"; }
+
+.fa-soccer-ball::before {
+  content: "\f1e3"; }
+
+.fa-paintbrush::before {
+  content: "\f1fc"; }
+
+.fa-paint-brush::before {
+  content: "\f1fc"; }
+
+.fa-lock::before {
+  content: "\f023"; }
+
+.fa-gas-pump::before {
+  content: "\f52f"; }
+
+.fa-hot-tub-person::before {
+  content: "\f593"; }
+
+.fa-hot-tub::before {
+  content: "\f593"; }
+
+.fa-map-location::before {
+  content: "\f59f"; }
+
+.fa-map-marked::before {
+  content: "\f59f"; }
+
+.fa-house-flood-water::before {
+  content: "\e50e"; }
+
+.fa-tree::before {
+  content: "\f1bb"; }
+
+.fa-bridge-lock::before {
+  content: "\e4cc"; }
+
+.fa-sack-dollar::before {
+  content: "\f81d"; }
+
+.fa-pen-to-square::before {
+  content: "\f044"; }
+
+.fa-edit::before {
+  content: "\f044"; }
+
+.fa-car-side::before {
+  content: "\f5e4"; }
+
+.fa-share-nodes::before {
+  content: "\f1e0"; }
+
+.fa-share-alt::before {
+  content: "\f1e0"; }
+
+.fa-heart-circle-minus::before {
+  content: "\e4ff"; }
+
+.fa-hourglass-half::before {
+  content: "\f252"; }
+
+.fa-hourglass-2::before {
+  content: "\f252"; }
+
+.fa-microscope::before {
+  content: "\f610"; }
+
+.fa-sink::before {
+  content: "\e06d"; }
+
+.fa-bag-shopping::before {
+  content: "\f290"; }
+
+.fa-shopping-bag::before {
+  content: "\f290"; }
+
+.fa-arrow-down-z-a::before {
+  content: "\f881"; }
+
+.fa-sort-alpha-desc::before {
+  content: "\f881"; }
+
+.fa-sort-alpha-down-alt::before {
+  content: "\f881"; }
+
+.fa-mitten::before {
+  content: "\f7b5"; }
+
+.fa-person-rays::before {
+  content: "\e54d"; }
+
+.fa-users::before {
+  content: "\f0c0"; }
+
+.fa-eye-slash::before {
+  content: "\f070"; }
+
+.fa-flask-vial::before {
+  content: "\e4f3"; }
+
+.fa-hand::before {
+  content: "\f256"; }
+
+.fa-hand-paper::before {
+  content: "\f256"; }
+
+.fa-om::before {
+  content: "\f679"; }
+
+.fa-worm::before {
+  content: "\e599"; }
+
+.fa-house-circle-xmark::before {
+  content: "\e50b"; }
+
+.fa-plug::before {
+  content: "\f1e6"; }
+
+.fa-chevron-up::before {
+  content: "\f077"; }
+
+.fa-hand-spock::before {
+  content: "\f259"; }
+
+.fa-stopwatch::before {
+  content: "\f2f2"; }
+
+.fa-face-kiss::before {
+  content: "\f596"; }
+
+.fa-kiss::before {
+  content: "\f596"; }
+
+.fa-bridge-circle-xmark::before {
+  content: "\e4cb"; }
+
+.fa-face-grin-tongue::before {
+  content: "\f589"; }
+
+.fa-grin-tongue::before {
+  content: "\f589"; }
+
+.fa-chess-bishop::before {
+  content: "\f43a"; }
+
+.fa-face-grin-wink::before {
+  content: "\f58c"; }
+
+.fa-grin-wink::before {
+  content: "\f58c"; }
+
+.fa-ear-deaf::before {
+  content: "\f2a4"; }
+
+.fa-deaf::before {
+  content: "\f2a4"; }
+
+.fa-deafness::before {
+  content: "\f2a4"; }
+
+.fa-hard-of-hearing::before {
+  content: "\f2a4"; }
+
+.fa-road-circle-check::before {
+  content: "\e564"; }
+
+.fa-dice-five::before {
+  content: "\f523"; }
+
+.fa-square-rss::before {
+  content: "\f143"; }
+
+.fa-rss-square::before {
+  content: "\f143"; }
+
+.fa-land-mine-on::before {
+  content: "\e51b"; }
+
+.fa-i-cursor::before {
+  content: "\f246"; }
+
+.fa-stamp::before {
+  content: "\f5bf"; }
+
+.fa-stairs::before {
+  content: "\e289"; }
+
+.fa-i::before {
+  content: "\49"; }
+
+.fa-hryvnia-sign::before {
+  content: "\f6f2"; }
+
+.fa-hryvnia::before {
+  content: "\f6f2"; }
+
+.fa-pills::before {
+  content: "\f484"; }
+
+.fa-face-grin-wide::before {
+  content: "\f581"; }
+
+.fa-grin-alt::before {
+  content: "\f581"; }
+
+.fa-tooth::before {
+  content: "\f5c9"; }
+
+.fa-v::before {
+  content: "\56"; }
+
+.fa-bangladeshi-taka-sign::before {
+  content: "\e2e6"; }
+
+.fa-bicycle::before {
+  content: "\f206"; }
+
+.fa-staff-snake::before {
+  content: "\e579"; }
+
+.fa-rod-asclepius::before {
+  content: "\e579"; }
+
+.fa-rod-snake::before {
+  content: "\e579"; }
+
+.fa-staff-aesculapius::before {
+  content: "\e579"; }
+
+.fa-head-side-cough-slash::before {
+  content: "\e062"; }
+
+.fa-truck-medical::before {
+  content: "\f0f9"; }
+
+.fa-ambulance::before {
+  content: "\f0f9"; }
+
+.fa-wheat-awn-circle-exclamation::before {
+  content: "\e598"; }
+
+.fa-snowman::before {
+  content: "\f7d0"; }
+
+.fa-mortar-pestle::before {
+  content: "\f5a7"; }
+
+.fa-road-barrier::before {
+  content: "\e562"; }
+
+.fa-school::before {
+  content: "\f549"; }
+
+.fa-igloo::before {
+  content: "\f7ae"; }
+
+.fa-joint::before {
+  content: "\f595"; }
+
+.fa-angle-right::before {
+  content: "\f105"; }
+
+.fa-horse::before {
+  content: "\f6f0"; }
+
+.fa-q::before {
+  content: "\51"; }
+
+.fa-g::before {
+  content: "\47"; }
+
+.fa-notes-medical::before {
+  content: "\f481"; }
+
+.fa-temperature-half::before {
+  content: "\f2c9"; }
+
+.fa-temperature-2::before {
+  content: "\f2c9"; }
+
+.fa-thermometer-2::before {
+  content: "\f2c9"; }
+
+.fa-thermometer-half::before {
+  content: "\f2c9"; }
+
+.fa-dong-sign::before {
+  content: "\e169"; }
+
+.fa-capsules::before {
+  content: "\f46b"; }
+
+.fa-poo-storm::before {
+  content: "\f75a"; }
+
+.fa-poo-bolt::before {
+  content: "\f75a"; }
+
+.fa-face-frown-open::before {
+  content: "\f57a"; }
+
+.fa-frown-open::before {
+  content: "\f57a"; }
+
+.fa-hand-point-up::before {
+  content: "\f0a6"; }
+
+.fa-money-bill::before {
+  content: "\f0d6"; }
+
+.fa-bookmark::before {
+  content: "\f02e"; }
+
+.fa-align-justify::before {
+  content: "\f039"; }
+
+.fa-umbrella-beach::before {
+  content: "\f5ca"; }
+
+.fa-helmet-un::before {
+  content: "\e503"; }
+
+.fa-bullseye::before {
+  content: "\f140"; }
+
+.fa-bacon::before {
+  content: "\f7e5"; }
+
+.fa-hand-point-down::before {
+  content: "\f0a7"; }
+
+.fa-arrow-up-from-bracket::before {
+  content: "\e09a"; }
+
+.fa-folder::before {
+  content: "\f07b"; }
+
+.fa-folder-blank::before {
+  content: "\f07b"; }
+
+.fa-file-waveform::before {
+  content: "\f478"; }
+
+.fa-file-medical-alt::before {
+  content: "\f478"; }
+
+.fa-radiation::before {
+  content: "\f7b9"; }
+
+.fa-chart-simple::before {
+  content: "\e473"; }
+
+.fa-mars-stroke::before {
+  content: "\f229"; }
+
+.fa-vial::before {
+  content: "\f492"; }
+
+.fa-gauge::before {
+  content: "\f624"; }
+
+.fa-dashboard::before {
+  content: "\f624"; }
+
+.fa-gauge-med::before {
+  content: "\f624"; }
+
+.fa-tachometer-alt-average::before {
+  content: "\f624"; }
+
+.fa-wand-magic-sparkles::before {
+  content: "\e2ca"; }
+
+.fa-magic-wand-sparkles::before {
+  content: "\e2ca"; }
+
+.fa-e::before {
+  content: "\45"; }
+
+.fa-pen-clip::before {
+  content: "\f305"; }
+
+.fa-pen-alt::before {
+  content: "\f305"; }
+
+.fa-bridge-circle-exclamation::before {
+  content: "\e4ca"; }
+
+.fa-user::before {
+  content: "\f007"; }
+
+.fa-school-circle-check::before {
+  content: "\e56b"; }
+
+.fa-dumpster::before {
+  content: "\f793"; }
+
+.fa-van-shuttle::before {
+  content: "\f5b6"; }
+
+.fa-shuttle-van::before {
+  content: "\f5b6"; }
+
+.fa-building-user::before {
+  content: "\e4da"; }
+
+.fa-square-caret-left::before {
+  content: "\f191"; }
+
+.fa-caret-square-left::before {
+  content: "\f191"; }
+
+.fa-highlighter::before {
+  content: "\f591"; }
+
+.fa-key::before {
+  content: "\f084"; }
+
+.fa-bullhorn::before {
+  content: "\f0a1"; }
+
+.fa-globe::before {
+  content: "\f0ac"; }
+
+.fa-synagogue::before {
+  content: "\f69b"; }
+
+.fa-person-half-dress::before {
+  content: "\e548"; }
+
+.fa-road-bridge::before {
+  content: "\e563"; }
+
+.fa-location-arrow::before {
+  content: "\f124"; }
+
+.fa-c::before {
+  content: "\43"; }
+
+.fa-tablet-button::before {
+  content: "\f10a"; }
+
+.fa-building-lock::before {
+  content: "\e4d6"; }
+
+.fa-pizza-slice::before {
+  content: "\f818"; }
+
+.fa-money-bill-wave::before {
+  content: "\f53a"; }
+
+.fa-chart-area::before {
+  content: "\f1fe"; }
+
+.fa-area-chart::before {
+  content: "\f1fe"; }
+
+.fa-house-flag::before {
+  content: "\e50d"; }
+
+.fa-person-circle-minus::before {
+  content: "\e540"; }
+
+.fa-ban::before {
+  content: "\f05e"; }
+
+.fa-cancel::before {
+  content: "\f05e"; }
+
+.fa-camera-rotate::before {
+  content: "\e0d8"; }
+
+.fa-spray-can-sparkles::before {
+  content: "\f5d0"; }
+
+.fa-air-freshener::before {
+  content: "\f5d0"; }
+
+.fa-star::before {
+  content: "\f005"; }
+
+.fa-repeat::before {
+  content: "\f363"; }
+
+.fa-cross::before {
+  content: "\f654"; }
+
+.fa-box::before {
+  content: "\f466"; }
+
+.fa-venus-mars::before {
+  content: "\f228"; }
+
+.fa-arrow-pointer::before {
+  content: "\f245"; }
+
+.fa-mouse-pointer::before {
+  content: "\f245"; }
+
+.fa-maximize::before {
+  content: "\f31e"; }
+
+.fa-expand-arrows-alt::before {
+  content: "\f31e"; }
+
+.fa-charging-station::before {
+  content: "\f5e7"; }
+
+.fa-shapes::before {
+  content: "\f61f"; }
+
+.fa-triangle-circle-square::before {
+  content: "\f61f"; }
+
+.fa-shuffle::before {
+  content: "\f074"; }
+
+.fa-random::before {
+  content: "\f074"; }
+
+.fa-person-running::before {
+  content: "\f70c"; }
+
+.fa-running::before {
+  content: "\f70c"; }
+
+.fa-mobile-retro::before {
+  content: "\e527"; }
+
+.fa-grip-lines-vertical::before {
+  content: "\f7a5"; }
+
+.fa-spider::before {
+  content: "\f717"; }
+
+.fa-hands-bound::before {
+  content: "\e4f9"; }
+
+.fa-file-invoice-dollar::before {
+  content: "\f571"; }
+
+.fa-plane-circle-exclamation::before {
+  content: "\e556"; }
+
+.fa-x-ray::before {
+  content: "\f497"; }
+
+.fa-spell-check::before {
+  content: "\f891"; }
+
+.fa-slash::before {
+  content: "\f715"; }
+
+.fa-computer-mouse::before {
+  content: "\f8cc"; }
+
+.fa-mouse::before {
+  content: "\f8cc"; }
+
+.fa-arrow-right-to-bracket::before {
+  content: "\f090"; }
+
+.fa-sign-in::before {
+  content: "\f090"; }
+
+.fa-shop-slash::before {
+  content: "\e070"; }
+
+.fa-store-alt-slash::before {
+  content: "\e070"; }
+
+.fa-server::before {
+  content: "\f233"; }
+
+.fa-virus-covid-slash::before {
+  content: "\e4a9"; }
+
+.fa-shop-lock::before {
+  content: "\e4a5"; }
+
+.fa-hourglass-start::before {
+  content: "\f251"; }
+
+.fa-hourglass-1::before {
+  content: "\f251"; }
+
+.fa-blender-phone::before {
+  content: "\f6b6"; }
+
+.fa-building-wheat::before {
+  content: "\e4db"; }
+
+.fa-person-breastfeeding::before {
+  content: "\e53a"; }
+
+.fa-right-to-bracket::before {
+  content: "\f2f6"; }
+
+.fa-sign-in-alt::before {
+  content: "\f2f6"; }
+
+.fa-venus::before {
+  content: "\f221"; }
+
+.fa-passport::before {
+  content: "\f5ab"; }
+
+.fa-heart-pulse::before {
+  content: "\f21e"; }
+
+.fa-heartbeat::before {
+  content: "\f21e"; }
+
+.fa-people-carry-box::before {
+  content: "\f4ce"; }
+
+.fa-people-carry::before {
+  content: "\f4ce"; }
+
+.fa-temperature-high::before {
+  content: "\f769"; }
+
+.fa-microchip::before {
+  content: "\f2db"; }
+
+.fa-crown::before {
+  content: "\f521"; }
+
+.fa-weight-hanging::before {
+  content: "\f5cd"; }
+
+.fa-xmarks-lines::before {
+  content: "\e59a"; }
+
+.fa-file-prescription::before {
+  content: "\f572"; }
+
+.fa-weight-scale::before {
+  content: "\f496"; }
+
+.fa-weight::before {
+  content: "\f496"; }
+
+.fa-user-group::before {
+  content: "\f500"; }
+
+.fa-user-friends::before {
+  content: "\f500"; }
+
+.fa-arrow-up-a-z::before {
+  content: "\f15e"; }
+
+.fa-sort-alpha-up::before {
+  content: "\f15e"; }
+
+.fa-chess-knight::before {
+  content: "\f441"; }
+
+.fa-face-laugh-squint::before {
+  content: "\f59b"; }
+
+.fa-laugh-squint::before {
+  content: "\f59b"; }
+
+.fa-wheelchair::before {
+  content: "\f193"; }
+
+.fa-circle-arrow-up::before {
+  content: "\f0aa"; }
+
+.fa-arrow-circle-up::before {
+  content: "\f0aa"; }
+
+.fa-toggle-on::before {
+  content: "\f205"; }
+
+.fa-person-walking::before {
+  content: "\f554"; }
+
+.fa-walking::before {
+  content: "\f554"; }
+
+.fa-l::before {
+  content: "\4c"; }
+
+.fa-fire::before {
+  content: "\f06d"; }
+
+.fa-bed-pulse::before {
+  content: "\f487"; }
+
+.fa-procedures::before {
+  content: "\f487"; }
+
+.fa-shuttle-space::before {
+  content: "\f197"; }
+
+.fa-space-shuttle::before {
+  content: "\f197"; }
+
+.fa-face-laugh::before {
+  content: "\f599"; }
+
+.fa-laugh::before {
+  content: "\f599"; }
+
+.fa-folder-open::before {
+  content: "\f07c"; }
+
+.fa-heart-circle-plus::before {
+  content: "\e500"; }
+
+.fa-code-fork::before {
+  content: "\e13b"; }
+
+.fa-city::before {
+  content: "\f64f"; }
+
+.fa-microphone-lines::before {
+  content: "\f3c9"; }
+
+.fa-microphone-alt::before {
+  content: "\f3c9"; }
+
+.fa-pepper-hot::before {
+  content: "\f816"; }
+
+.fa-unlock::before {
+  content: "\f09c"; }
+
+.fa-colon-sign::before {
+  content: "\e140"; }
+
+.fa-headset::before {
+  content: "\f590"; }
+
+.fa-store-slash::before {
+  content: "\e071"; }
+
+.fa-road-circle-xmark::before {
+  content: "\e566"; }
+
+.fa-user-minus::before {
+  content: "\f503"; }
+
+.fa-mars-stroke-up::before {
+  content: "\f22a"; }
+
+.fa-mars-stroke-v::before {
+  content: "\f22a"; }
+
+.fa-champagne-glasses::before {
+  content: "\f79f"; }
+
+.fa-glass-cheers::before {
+  content: "\f79f"; }
+
+.fa-clipboard::before {
+  content: "\f328"; }
+
+.fa-house-circle-exclamation::before {
+  content: "\e50a"; }
+
+.fa-file-arrow-up::before {
+  content: "\f574"; }
+
+.fa-file-upload::before {
+  content: "\f574"; }
+
+.fa-wifi::before {
+  content: "\f1eb"; }
+
+.fa-wifi-3::before {
+  content: "\f1eb"; }
+
+.fa-wifi-strong::before {
+  content: "\f1eb"; }
+
+.fa-bath::before {
+  content: "\f2cd"; }
+
+.fa-bathtub::before {
+  content: "\f2cd"; }
+
+.fa-underline::before {
+  content: "\f0cd"; }
+
+.fa-user-pen::before {
+  content: "\f4ff"; }
+
+.fa-user-edit::before {
+  content: "\f4ff"; }
+
+.fa-signature::before {
+  content: "\f5b7"; }
+
+.fa-stroopwafel::before {
+  content: "\f551"; }
+
+.fa-bold::before {
+  content: "\f032"; }
+
+.fa-anchor-lock::before {
+  content: "\e4ad"; }
+
+.fa-building-ngo::before {
+  content: "\e4d7"; }
+
+.fa-manat-sign::before {
+  content: "\e1d5"; }
+
+.fa-not-equal::before {
+  content: "\f53e"; }
+
+.fa-border-top-left::before {
+  content: "\f853"; }
+
+.fa-border-style::before {
+  content: "\f853"; }
+
+.fa-map-location-dot::before {
+  content: "\f5a0"; }
+
+.fa-map-marked-alt::before {
+  content: "\f5a0"; }
+
+.fa-jedi::before {
+  content: "\f669"; }
+
+.fa-square-poll-vertical::before {
+  content: "\f681"; }
+
+.fa-poll::before {
+  content: "\f681"; }
+
+.fa-mug-hot::before {
+  content: "\f7b6"; }
+
+.fa-car-battery::before {
+  content: "\f5df"; }
+
+.fa-battery-car::before {
+  content: "\f5df"; }
+
+.fa-gift::before {
+  content: "\f06b"; }
+
+.fa-dice-two::before {
+  content: "\f528"; }
+
+.fa-chess-queen::before {
+  content: "\f445"; }
+
+.fa-glasses::before {
+  content: "\f530"; }
+
+.fa-chess-board::before {
+  content: "\f43c"; }
+
+.fa-building-circle-check::before {
+  content: "\e4d2"; }
+
+.fa-person-chalkboard::before {
+  content: "\e53d"; }
+
+.fa-mars-stroke-right::before {
+  content: "\f22b"; }
+
+.fa-mars-stroke-h::before {
+  content: "\f22b"; }
+
+.fa-hand-back-fist::before {
+  content: "\f255"; }
+
+.fa-hand-rock::before {
+  content: "\f255"; }
+
+.fa-square-caret-up::before {
+  content: "\f151"; }
+
+.fa-caret-square-up::before {
+  content: "\f151"; }
+
+.fa-cloud-showers-water::before {
+  content: "\e4e4"; }
+
+.fa-chart-bar::before {
+  content: "\f080"; }
+
+.fa-bar-chart::before {
+  content: "\f080"; }
+
+.fa-hands-bubbles::before {
+  content: "\e05e"; }
+
+.fa-hands-wash::before {
+  content: "\e05e"; }
+
+.fa-less-than-equal::before {
+  content: "\f537"; }
+
+.fa-train::before {
+  content: "\f238"; }
+
+.fa-eye-low-vision::before {
+  content: "\f2a8"; }
+
+.fa-low-vision::before {
+  content: "\f2a8"; }
+
+.fa-crow::before {
+  content: "\f520"; }
+
+.fa-sailboat::before {
+  content: "\e445"; }
+
+.fa-window-restore::before {
+  content: "\f2d2"; }
+
+.fa-square-plus::before {
+  content: "\f0fe"; }
+
+.fa-plus-square::before {
+  content: "\f0fe"; }
+
+.fa-torii-gate::before {
+  content: "\f6a1"; }
+
+.fa-frog::before {
+  content: "\f52e"; }
+
+.fa-bucket::before {
+  content: "\e4cf"; }
+
+.fa-image::before {
+  content: "\f03e"; }
+
+.fa-microphone::before {
+  content: "\f130"; }
+
+.fa-cow::before {
+  content: "\f6c8"; }
+
+.fa-caret-up::before {
+  content: "\f0d8"; }
+
+.fa-screwdriver::before {
+  content: "\f54a"; }
+
+.fa-folder-closed::before {
+  content: "\e185"; }
+
+.fa-house-tsunami::before {
+  content: "\e515"; }
+
+.fa-square-nfi::before {
+  content: "\e576"; }
+
+.fa-arrow-up-from-ground-water::before {
+  content: "\e4b5"; }
+
+.fa-martini-glass::before {
+  content: "\f57b"; }
+
+.fa-glass-martini-alt::before {
+  content: "\f57b"; }
+
+.fa-rotate-left::before {
+  content: "\f2ea"; }
+
+.fa-rotate-back::before {
+  content: "\f2ea"; }
+
+.fa-rotate-backward::before {
+  content: "\f2ea"; }
+
+.fa-undo-alt::before {
+  content: "\f2ea"; }
+
+.fa-table-columns::before {
+  content: "\f0db"; }
+
+.fa-columns::before {
+  content: "\f0db"; }
+
+.fa-lemon::before {
+  content: "\f094"; }
+
+.fa-head-side-mask::before {
+  content: "\e063"; }
+
+.fa-handshake::before {
+  content: "\f2b5"; }
+
+.fa-gem::before {
+  content: "\f3a5"; }
+
+.fa-dolly::before {
+  content: "\f472"; }
+
+.fa-dolly-box::before {
+  content: "\f472"; }
+
+.fa-smoking::before {
+  content: "\f48d"; }
+
+.fa-minimize::before {
+  content: "\f78c"; }
+
+.fa-compress-arrows-alt::before {
+  content: "\f78c"; }
+
+.fa-monument::before {
+  content: "\f5a6"; }
+
+.fa-snowplow::before {
+  content: "\f7d2"; }
+
+.fa-angles-right::before {
+  content: "\f101"; }
+
+.fa-angle-double-right::before {
+  content: "\f101"; }
+
+.fa-cannabis::before {
+  content: "\f55f"; }
+
+.fa-circle-play::before {
+  content: "\f144"; }
+
+.fa-play-circle::before {
+  content: "\f144"; }
+
+.fa-tablets::before {
+  content: "\f490"; }
+
+.fa-ethernet::before {
+  content: "\f796"; }
+
+.fa-euro-sign::before {
+  content: "\f153"; }
+
+.fa-eur::before {
+  content: "\f153"; }
+
+.fa-euro::before {
+  content: "\f153"; }
+
+.fa-chair::before {
+  content: "\f6c0"; }
+
+.fa-circle-check::before {
+  content: "\f058"; }
+
+.fa-check-circle::before {
+  content: "\f058"; }
+
+.fa-circle-stop::before {
+  content: "\f28d"; }
+
+.fa-stop-circle::before {
+  content: "\f28d"; }
+
+.fa-compass-drafting::before {
+  content: "\f568"; }
+
+.fa-drafting-compass::before {
+  content: "\f568"; }
+
+.fa-plate-wheat::before {
+  content: "\e55a"; }
+
+.fa-icicles::before {
+  content: "\f7ad"; }
+
+.fa-person-shelter::before {
+  content: "\e54f"; }
+
+.fa-neuter::before {
+  content: "\f22c"; }
+
+.fa-id-badge::before {
+  content: "\f2c1"; }
+
+.fa-marker::before {
+  content: "\f5a1"; }
+
+.fa-face-laugh-beam::before {
+  content: "\f59a"; }
+
+.fa-laugh-beam::before {
+  content: "\f59a"; }
+
+.fa-helicopter-symbol::before {
+  content: "\e502"; }
+
+.fa-universal-access::before {
+  content: "\f29a"; }
+
+.fa-circle-chevron-up::before {
+  content: "\f139"; }
+
+.fa-chevron-circle-up::before {
+  content: "\f139"; }
+
+.fa-lari-sign::before {
+  content: "\e1c8"; }
+
+.fa-volcano::before {
+  content: "\f770"; }
+
+.fa-person-walking-dashed-line-arrow-right::before {
+  content: "\e553"; }
+
+.fa-sterling-sign::before {
+  content: "\f154"; }
+
+.fa-gbp::before {
+  content: "\f154"; }
+
+.fa-pound-sign::before {
+  content: "\f154"; }
+
+.fa-viruses::before {
+  content: "\e076"; }
+
+.fa-square-person-confined::before {
+  content: "\e577"; }
+
+.fa-user-tie::before {
+  content: "\f508"; }
+
+.fa-arrow-down-long::before {
+  content: "\f175"; }
+
+.fa-long-arrow-down::before {
+  content: "\f175"; }
+
+.fa-tent-arrow-down-to-line::before {
+  content: "\e57e"; }
+
+.fa-certificate::before {
+  content: "\f0a3"; }
+
+.fa-reply-all::before {
+  content: "\f122"; }
+
+.fa-mail-reply-all::before {
+  content: "\f122"; }
+
+.fa-suitcase::before {
+  content: "\f0f2"; }
+
+.fa-person-skating::before {
+  content: "\f7c5"; }
+
+.fa-skating::before {
+  content: "\f7c5"; }
+
+.fa-filter-circle-dollar::before {
+  content: "\f662"; }
+
+.fa-funnel-dollar::before {
+  content: "\f662"; }
+
+.fa-camera-retro::before {
+  content: "\f083"; }
+
+.fa-circle-arrow-down::before {
+  content: "\f0ab"; }
+
+.fa-arrow-circle-down::before {
+  content: "\f0ab"; }
+
+.fa-file-import::before {
+  content: "\f56f"; }
+
+.fa-arrow-right-to-file::before {
+  content: "\f56f"; }
+
+.fa-square-arrow-up-right::before {
+  content: "\f14c"; }
+
+.fa-external-link-square::before {
+  content: "\f14c"; }
+
+.fa-box-open::before {
+  content: "\f49e"; }
+
+.fa-scroll::before {
+  content: "\f70e"; }
+
+.fa-spa::before {
+  content: "\f5bb"; }
+
+.fa-location-pin-lock::before {
+  content: "\e51f"; }
+
+.fa-pause::before {
+  content: "\f04c"; }
+
+.fa-hill-avalanche::before {
+  content: "\e507"; }
+
+.fa-temperature-empty::before {
+  content: "\f2cb"; }
+
+.fa-temperature-0::before {
+  content: "\f2cb"; }
+
+.fa-thermometer-0::before {
+  content: "\f2cb"; }
+
+.fa-thermometer-empty::before {
+  content: "\f2cb"; }
+
+.fa-bomb::before {
+  content: "\f1e2"; }
+
+.fa-registered::before {
+  content: "\f25d"; }
+
+.fa-address-card::before {
+  content: "\f2bb"; }
+
+.fa-contact-card::before {
+  content: "\f2bb"; }
+
+.fa-vcard::before {
+  content: "\f2bb"; }
+
+.fa-scale-unbalanced-flip::before {
+  content: "\f516"; }
+
+.fa-balance-scale-right::before {
+  content: "\f516"; }
+
+.fa-subscript::before {
+  content: "\f12c"; }
+
+.fa-diamond-turn-right::before {
+  content: "\f5eb"; }
+
+.fa-directions::before {
+  content: "\f5eb"; }
+
+.fa-burst::before {
+  content: "\e4dc"; }
+
+.fa-house-laptop::before {
+  content: "\e066"; }
+
+.fa-laptop-house::before {
+  content: "\e066"; }
+
+.fa-face-tired::before {
+  content: "\f5c8"; }
+
+.fa-tired::before {
+  content: "\f5c8"; }
+
+.fa-money-bills::before {
+  content: "\e1f3"; }
+
+.fa-smog::before {
+  content: "\f75f"; }
+
+.fa-crutch::before {
+  content: "\f7f7"; }
+
+.fa-cloud-arrow-up::before {
+  content: "\f0ee"; }
+
+.fa-cloud-upload::before {
+  content: "\f0ee"; }
+
+.fa-cloud-upload-alt::before {
+  content: "\f0ee"; }
+
+.fa-palette::before {
+  content: "\f53f"; }
+
+.fa-arrows-turn-right::before {
+  content: "\e4c0"; }
+
+.fa-vest::before {
+  content: "\e085"; }
+
+.fa-ferry::before {
+  content: "\e4ea"; }
+
+.fa-arrows-down-to-people::before {
+  content: "\e4b9"; }
+
+.fa-seedling::before {
+  content: "\f4d8"; }
+
+.fa-sprout::before {
+  content: "\f4d8"; }
+
+.fa-left-right::before {
+  content: "\f337"; }
+
+.fa-arrows-alt-h::before {
+  content: "\f337"; }
+
+.fa-boxes-packing::before {
+  content: "\e4c7"; }
+
+.fa-circle-arrow-left::before {
+  content: "\f0a8"; }
+
+.fa-arrow-circle-left::before {
+  content: "\f0a8"; }
+
+.fa-group-arrows-rotate::before {
+  content: "\e4f6"; }
+
+.fa-bowl-food::before {
+  content: "\e4c6"; }
+
+.fa-candy-cane::before {
+  content: "\f786"; }
+
+.fa-arrow-down-wide-short::before {
+  content: "\f160"; }
+
+.fa-sort-amount-asc::before {
+  content: "\f160"; }
+
+.fa-sort-amount-down::before {
+  content: "\f160"; }
+
+.fa-cloud-bolt::before {
+  content: "\f76c"; }
+
+.fa-thunderstorm::before {
+  content: "\f76c"; }
+
+.fa-text-slash::before {
+  content: "\f87d"; }
+
+.fa-remove-format::before {
+  content: "\f87d"; }
+
+.fa-face-smile-wink::before {
+  content: "\f4da"; }
+
+.fa-smile-wink::before {
+  content: "\f4da"; }
+
+.fa-file-word::before {
+  content: "\f1c2"; }
+
+.fa-file-powerpoint::before {
+  content: "\f1c4"; }
+
+.fa-arrows-left-right::before {
+  content: "\f07e"; }
+
+.fa-arrows-h::before {
+  content: "\f07e"; }
+
+.fa-house-lock::before {
+  content: "\e510"; }
+
+.fa-cloud-arrow-down::before {
+  content: "\f0ed"; }
+
+.fa-cloud-download::before {
+  content: "\f0ed"; }
+
+.fa-cloud-download-alt::before {
+  content: "\f0ed"; }
+
+.fa-children::before {
+  content: "\e4e1"; }
+
+.fa-chalkboard::before {
+  content: "\f51b"; }
+
+.fa-blackboard::before {
+  content: "\f51b"; }
+
+.fa-user-large-slash::before {
+  content: "\f4fa"; }
+
+.fa-user-alt-slash::before {
+  content: "\f4fa"; }
+
+.fa-envelope-open::before {
+  content: "\f2b6"; }
+
+.fa-handshake-simple-slash::before {
+  content: "\e05f"; }
+
+.fa-handshake-alt-slash::before {
+  content: "\e05f"; }
+
+.fa-mattress-pillow::before {
+  content: "\e525"; }
+
+.fa-guarani-sign::before {
+  content: "\e19a"; }
+
+.fa-arrows-rotate::before {
+  content: "\f021"; }
+
+.fa-refresh::before {
+  content: "\f021"; }
+
+.fa-sync::before {
+  content: "\f021"; }
+
+.fa-fire-extinguisher::before {
+  content: "\f134"; }
+
+.fa-cruzeiro-sign::before {
+  content: "\e152"; }
+
+.fa-greater-than-equal::before {
+  content: "\f532"; }
+
+.fa-shield-halved::before {
+  content: "\f3ed"; }
+
+.fa-shield-alt::before {
+  content: "\f3ed"; }
+
+.fa-book-atlas::before {
+  content: "\f558"; }
+
+.fa-atlas::before {
+  content: "\f558"; }
+
+.fa-virus::before {
+  content: "\e074"; }
+
+.fa-envelope-circle-check::before {
+  content: "\e4e8"; }
+
+.fa-layer-group::before {
+  content: "\f5fd"; }
+
+.fa-arrows-to-dot::before {
+  content: "\e4be"; }
+
+.fa-archway::before {
+  content: "\f557"; }
+
+.fa-heart-circle-check::before {
+  content: "\e4fd"; }
+
+.fa-house-chimney-crack::before {
+  content: "\f6f1"; }
+
+.fa-house-damage::before {
+  content: "\f6f1"; }
+
+.fa-file-zipper::before {
+  content: "\f1c6"; }
+
+.fa-file-archive::before {
+  content: "\f1c6"; }
+
+.fa-square::before {
+  content: "\f0c8"; }
+
+.fa-martini-glass-empty::before {
+  content: "\f000"; }
+
+.fa-glass-martini::before {
+  content: "\f000"; }
+
+.fa-couch::before {
+  content: "\f4b8"; }
+
+.fa-cedi-sign::before {
+  content: "\e0df"; }
+
+.fa-italic::before {
+  content: "\f033"; }
+
+.fa-church::before {
+  content: "\f51d"; }
+
+.fa-comments-dollar::before {
+  content: "\f653"; }
+
+.fa-democrat::before {
+  content: "\f747"; }
+
+.fa-z::before {
+  content: "\5a"; }
+
+.fa-person-skiing::before {
+  content: "\f7c9"; }
+
+.fa-skiing::before {
+  content: "\f7c9"; }
+
+.fa-road-lock::before {
+  content: "\e567"; }
+
+.fa-a::before {
+  content: "\41"; }
+
+.fa-temperature-arrow-down::before {
+  content: "\e03f"; }
+
+.fa-temperature-down::before {
+  content: "\e03f"; }
+
+.fa-feather-pointed::before {
+  content: "\f56b"; }
+
+.fa-feather-alt::before {
+  content: "\f56b"; }
+
+.fa-p::before {
+  content: "\50"; }
+
+.fa-snowflake::before {
+  content: "\f2dc"; }
+
+.fa-newspaper::before {
+  content: "\f1ea"; }
+
+.fa-rectangle-ad::before {
+  content: "\f641"; }
+
+.fa-ad::before {
+  content: "\f641"; }
+
+.fa-circle-arrow-right::before {
+  content: "\f0a9"; }
+
+.fa-arrow-circle-right::before {
+  content: "\f0a9"; }
+
+.fa-filter-circle-xmark::before {
+  content: "\e17b"; }
+
+.fa-locust::before {
+  content: "\e520"; }
+
+.fa-sort::before {
+  content: "\f0dc"; }
+
+.fa-unsorted::before {
+  content: "\f0dc"; }
+
+.fa-list-ol::before {
+  content: "\f0cb"; }
+
+.fa-list-1-2::before {
+  content: "\f0cb"; }
+
+.fa-list-numeric::before {
+  content: "\f0cb"; }
+
+.fa-person-dress-burst::before {
+  content: "\e544"; }
+
+.fa-money-check-dollar::before {
+  content: "\f53d"; }
+
+.fa-money-check-alt::before {
+  content: "\f53d"; }
+
+.fa-vector-square::before {
+  content: "\f5cb"; }
+
+.fa-bread-slice::before {
+  content: "\f7ec"; }
+
+.fa-language::before {
+  content: "\f1ab"; }
+
+.fa-face-kiss-wink-heart::before {
+  content: "\f598"; }
+
+.fa-kiss-wink-heart::before {
+  content: "\f598"; }
+
+.fa-filter::before {
+  content: "\f0b0"; }
+
+.fa-question::before {
+  content: "\3f"; }
+
+.fa-file-signature::before {
+  content: "\f573"; }
+
+.fa-up-down-left-right::before {
+  content: "\f0b2"; }
+
+.fa-arrows-alt::before {
+  content: "\f0b2"; }
+
+.fa-house-chimney-user::before {
+  content: "\e065"; }
+
+.fa-hand-holding-heart::before {
+  content: "\f4be"; }
+
+.fa-puzzle-piece::before {
+  content: "\f12e"; }
+
+.fa-money-check::before {
+  content: "\f53c"; }
+
+.fa-star-half-stroke::before {
+  content: "\f5c0"; }
+
+.fa-star-half-alt::before {
+  content: "\f5c0"; }
+
+.fa-code::before {
+  content: "\f121"; }
+
+.fa-whiskey-glass::before {
+  content: "\f7a0"; }
+
+.fa-glass-whiskey::before {
+  content: "\f7a0"; }
+
+.fa-building-circle-exclamation::before {
+  content: "\e4d3"; }
+
+.fa-magnifying-glass-chart::before {
+  content: "\e522"; }
+
+.fa-arrow-up-right-from-square::before {
+  content: "\f08e"; }
+
+.fa-external-link::before {
+  content: "\f08e"; }
+
+.fa-cubes-stacked::before {
+  content: "\e4e6"; }
+
+.fa-won-sign::before {
+  content: "\f159"; }
+
+.fa-krw::before {
+  content: "\f159"; }
+
+.fa-won::before {
+  content: "\f159"; }
+
+.fa-virus-covid::before {
+  content: "\e4a8"; }
+
+.fa-austral-sign::before {
+  content: "\e0a9"; }
+
+.fa-f::before {
+  content: "\46"; }
+
+.fa-leaf::before {
+  content: "\f06c"; }
+
+.fa-road::before {
+  content: "\f018"; }
+
+.fa-taxi::before {
+  content: "\f1ba"; }
+
+.fa-cab::before {
+  content: "\f1ba"; }
+
+.fa-person-circle-plus::before {
+  content: "\e541"; }
+
+.fa-chart-pie::before {
+  content: "\f200"; }
+
+.fa-pie-chart::before {
+  content: "\f200"; }
+
+.fa-bolt-lightning::before {
+  content: "\e0b7"; }
+
+.fa-sack-xmark::before {
+  content: "\e56a"; }
+
+.fa-file-excel::before {
+  content: "\f1c3"; }
+
+.fa-file-contract::before {
+  content: "\f56c"; }
+
+.fa-fish-fins::before {
+  content: "\e4f2"; }
+
+.fa-building-flag::before {
+  content: "\e4d5"; }
+
+.fa-face-grin-beam::before {
+  content: "\f582"; }
+
+.fa-grin-beam::before {
+  content: "\f582"; }
+
+.fa-object-ungroup::before {
+  content: "\f248"; }
+
+.fa-poop::before {
+  content: "\f619"; }
+
+.fa-location-pin::before {
+  content: "\f041"; }
+
+.fa-map-marker::before {
+  content: "\f041"; }
+
+.fa-kaaba::before {
+  content: "\f66b"; }
+
+.fa-toilet-paper::before {
+  content: "\f71e"; }
+
+.fa-helmet-safety::before {
+  content: "\f807"; }
+
+.fa-hard-hat::before {
+  content: "\f807"; }
+
+.fa-hat-hard::before {
+  content: "\f807"; }
+
+.fa-eject::before {
+  content: "\f052"; }
+
+.fa-circle-right::before {
+  content: "\f35a"; }
+
+.fa-arrow-alt-circle-right::before {
+  content: "\f35a"; }
+
+.fa-plane-circle-check::before {
+  content: "\e555"; }
+
+.fa-face-rolling-eyes::before {
+  content: "\f5a5"; }
+
+.fa-meh-rolling-eyes::before {
+  content: "\f5a5"; }
+
+.fa-object-group::before {
+  content: "\f247"; }
+
+.fa-chart-line::before {
+  content: "\f201"; }
+
+.fa-line-chart::before {
+  content: "\f201"; }
+
+.fa-mask-ventilator::before {
+  content: "\e524"; }
+
+.fa-arrow-right::before {
+  content: "\f061"; }
+
+.fa-signs-post::before {
+  content: "\f277"; }
+
+.fa-map-signs::before {
+  content: "\f277"; }
+
+.fa-cash-register::before {
+  content: "\f788"; }
+
+.fa-person-circle-question::before {
+  content: "\e542"; }
+
+.fa-h::before {
+  content: "\48"; }
+
+.fa-tarp::before {
+  content: "\e57b"; }
+
+.fa-screwdriver-wrench::before {
+  content: "\f7d9"; }
+
+.fa-tools::before {
+  content: "\f7d9"; }
+
+.fa-arrows-to-eye::before {
+  content: "\e4bf"; }
+
+.fa-plug-circle-bolt::before {
+  content: "\e55b"; }
+
+.fa-heart::before {
+  content: "\f004"; }
+
+.fa-mars-and-venus::before {
+  content: "\f224"; }
+
+.fa-house-user::before {
+  content: "\e1b0"; }
+
+.fa-home-user::before {
+  content: "\e1b0"; }
+
+.fa-dumpster-fire::before {
+  content: "\f794"; }
+
+.fa-house-crack::before {
+  content: "\e3b1"; }
+
+.fa-martini-glass-citrus::before {
+  content: "\f561"; }
+
+.fa-cocktail::before {
+  content: "\f561"; }
+
+.fa-face-surprise::before {
+  content: "\f5c2"; }
+
+.fa-surprise::before {
+  content: "\f5c2"; }
+
+.fa-bottle-water::before {
+  content: "\e4c5"; }
+
+.fa-circle-pause::before {
+  content: "\f28b"; }
+
+.fa-pause-circle::before {
+  content: "\f28b"; }
+
+.fa-toilet-paper-slash::before {
+  content: "\e072"; }
+
+.fa-apple-whole::before {
+  content: "\f5d1"; }
+
+.fa-apple-alt::before {
+  content: "\f5d1"; }
+
+.fa-kitchen-set::before {
+  content: "\e51a"; }
+
+.fa-r::before {
+  content: "\52"; }
+
+.fa-temperature-quarter::before {
+  content: "\f2ca"; }
+
+.fa-temperature-1::before {
+  content: "\f2ca"; }
+
+.fa-thermometer-1::before {
+  content: "\f2ca"; }
+
+.fa-thermometer-quarter::before {
+  content: "\f2ca"; }
+
+.fa-cube::before {
+  content: "\f1b2"; }
+
+.fa-bitcoin-sign::before {
+  content: "\e0b4"; }
+
+.fa-shield-dog::before {
+  content: "\e573"; }
+
+.fa-solar-panel::before {
+  content: "\f5ba"; }
+
+.fa-lock-open::before {
+  content: "\f3c1"; }
+
+.fa-elevator::before {
+  content: "\e16d"; }
+
+.fa-money-bill-transfer::before {
+  content: "\e528"; }
+
+.fa-money-bill-trend-up::before {
+  content: "\e529"; }
+
+.fa-house-flood-water-circle-arrow-right::before {
+  content: "\e50f"; }
+
+.fa-square-poll-horizontal::before {
+  content: "\f682"; }
+
+.fa-poll-h::before {
+  content: "\f682"; }
+
+.fa-circle::before {
+  content: "\f111"; }
+
+.fa-backward-fast::before {
+  content: "\f049"; }
+
+.fa-fast-backward::before {
+  content: "\f049"; }
+
+.fa-recycle::before {
+  content: "\f1b8"; }
+
+.fa-user-astronaut::before {
+  content: "\f4fb"; }
+
+.fa-plane-slash::before {
+  content: "\e069"; }
+
+.fa-trademark::before {
+  content: "\f25c"; }
+
+.fa-basketball::before {
+  content: "\f434"; }
+
+.fa-basketball-ball::before {
+  content: "\f434"; }
+
+.fa-satellite-dish::before {
+  content: "\f7c0"; }
+
+.fa-circle-up::before {
+  content: "\f35b"; }
+
+.fa-arrow-alt-circle-up::before {
+  content: "\f35b"; }
+
+.fa-mobile-screen-button::before {
+  content: "\f3cd"; }
+
+.fa-mobile-alt::before {
+  content: "\f3cd"; }
+
+.fa-volume-high::before {
+  content: "\f028"; }
+
+.fa-volume-up::before {
+  content: "\f028"; }
+
+.fa-users-rays::before {
+  content: "\e593"; }
+
+.fa-wallet::before {
+  content: "\f555"; }
+
+.fa-clipboard-check::before {
+  content: "\f46c"; }
+
+.fa-file-audio::before {
+  content: "\f1c7"; }
+
+.fa-burger::before {
+  content: "\f805"; }
+
+.fa-hamburger::before {
+  content: "\f805"; }
+
+.fa-wrench::before {
+  content: "\f0ad"; }
+
+.fa-bugs::before {
+  content: "\e4d0"; }
+
+.fa-rupee-sign::before {
+  content: "\f156"; }
+
+.fa-rupee::before {
+  content: "\f156"; }
+
+.fa-file-image::before {
+  content: "\f1c5"; }
+
+.fa-circle-question::before {
+  content: "\f059"; }
+
+.fa-question-circle::before {
+  content: "\f059"; }
+
+.fa-plane-departure::before {
+  content: "\f5b0"; }
+
+.fa-handshake-slash::before {
+  content: "\e060"; }
+
+.fa-book-bookmark::before {
+  content: "\e0bb"; }
+
+.fa-code-branch::before {
+  content: "\f126"; }
+
+.fa-hat-cowboy::before {
+  content: "\f8c0"; }
+
+.fa-bridge::before {
+  content: "\e4c8"; }
+
+.fa-phone-flip::before {
+  content: "\f879"; }
+
+.fa-phone-alt::before {
+  content: "\f879"; }
+
+.fa-truck-front::before {
+  content: "\e2b7"; }
+
+.fa-cat::before {
+  content: "\f6be"; }
+
+.fa-anchor-circle-exclamation::before {
+  content: "\e4ab"; }
+
+.fa-truck-field::before {
+  content: "\e58d"; }
+
+.fa-route::before {
+  content: "\f4d7"; }
+
+.fa-clipboard-question::before {
+  content: "\e4e3"; }
+
+.fa-panorama::before {
+  content: "\e209"; }
+
+.fa-comment-medical::before {
+  content: "\f7f5"; }
+
+.fa-teeth-open::before {
+  content: "\f62f"; }
+
+.fa-file-circle-minus::before {
+  content: "\e4ed"; }
+
+.fa-tags::before {
+  content: "\f02c"; }
+
+.fa-wine-glass::before {
+  content: "\f4e3"; }
+
+.fa-forward-fast::before {
+  content: "\f050"; }
+
+.fa-fast-forward::before {
+  content: "\f050"; }
+
+.fa-face-meh-blank::before {
+  content: "\f5a4"; }
+
+.fa-meh-blank::before {
+  content: "\f5a4"; }
+
+.fa-square-parking::before {
+  content: "\f540"; }
+
+.fa-parking::before {
+  content: "\f540"; }
+
+.fa-house-signal::before {
+  content: "\e012"; }
+
+.fa-bars-progress::before {
+  content: "\f828"; }
+
+.fa-tasks-alt::before {
+  content: "\f828"; }
+
+.fa-faucet-drip::before {
+  content: "\e006"; }
+
+.fa-cart-flatbed::before {
+  content: "\f474"; }
+
+.fa-dolly-flatbed::before {
+  content: "\f474"; }
+
+.fa-ban-smoking::before {
+  content: "\f54d"; }
+
+.fa-smoking-ban::before {
+  content: "\f54d"; }
+
+.fa-terminal::before {
+  content: "\f120"; }
+
+.fa-mobile-button::before {
+  content: "\f10b"; }
+
+.fa-house-medical-flag::before {
+  content: "\e514"; }
+
+.fa-basket-shopping::before {
+  content: "\f291"; }
+
+.fa-shopping-basket::before {
+  content: "\f291"; }
+
+.fa-tape::before {
+  content: "\f4db"; }
+
+.fa-bus-simple::before {
+  content: "\f55e"; }
+
+.fa-bus-alt::before {
+  content: "\f55e"; }
+
+.fa-eye::before {
+  content: "\f06e"; }
+
+.fa-face-sad-cry::before {
+  content: "\f5b3"; }
+
+.fa-sad-cry::before {
+  content: "\f5b3"; }
+
+.fa-audio-description::before {
+  content: "\f29e"; }
+
+.fa-person-military-to-person::before {
+  content: "\e54c"; }
+
+.fa-file-shield::before {
+  content: "\e4f0"; }
+
+.fa-user-slash::before {
+  content: "\f506"; }
+
+.fa-pen::before {
+  content: "\f304"; }
+
+.fa-tower-observation::before {
+  content: "\e586"; }
+
+.fa-file-code::before {
+  content: "\f1c9"; }
+
+.fa-signal::before {
+  content: "\f012"; }
+
+.fa-signal-5::before {
+  content: "\f012"; }
+
+.fa-signal-perfect::before {
+  content: "\f012"; }
+
+.fa-bus::before {
+  content: "\f207"; }
+
+.fa-heart-circle-xmark::before {
+  content: "\e501"; }
+
+.fa-house-chimney::before {
+  content: "\e3af"; }
+
+.fa-home-lg::before {
+  content: "\e3af"; }
+
+.fa-window-maximize::before {
+  content: "\f2d0"; }
+
+.fa-face-frown::before {
+  content: "\f119"; }
+
+.fa-frown::before {
+  content: "\f119"; }
+
+.fa-prescription::before {
+  content: "\f5b1"; }
+
+.fa-shop::before {
+  content: "\f54f"; }
+
+.fa-store-alt::before {
+  content: "\f54f"; }
+
+.fa-floppy-disk::before {
+  content: "\f0c7"; }
+
+.fa-save::before {
+  content: "\f0c7"; }
+
+.fa-vihara::before {
+  content: "\f6a7"; }
+
+.fa-scale-unbalanced::before {
+  content: "\f515"; }
+
+.fa-balance-scale-left::before {
+  content: "\f515"; }
+
+.fa-sort-up::before {
+  content: "\f0de"; }
+
+.fa-sort-asc::before {
+  content: "\f0de"; }
+
+.fa-comment-dots::before {
+  content: "\f4ad"; }
+
+.fa-commenting::before {
+  content: "\f4ad"; }
+
+.fa-plant-wilt::before {
+  content: "\e5aa"; }
+
+.fa-diamond::before {
+  content: "\f219"; }
+
+.fa-face-grin-squint::before {
+  content: "\f585"; }
+
+.fa-grin-squint::before {
+  content: "\f585"; }
+
+.fa-hand-holding-dollar::before {
+  content: "\f4c0"; }
+
+.fa-hand-holding-usd::before {
+  content: "\f4c0"; }
+
+.fa-bacterium::before {
+  content: "\e05a"; }
+
+.fa-hand-pointer::before {
+  content: "\f25a"; }
+
+.fa-drum-steelpan::before {
+  content: "\f56a"; }
+
+.fa-hand-scissors::before {
+  content: "\f257"; }
+
+.fa-hands-praying::before {
+  content: "\f684"; }
+
+.fa-praying-hands::before {
+  content: "\f684"; }
+
+.fa-arrow-rotate-right::before {
+  content: "\f01e"; }
+
+.fa-arrow-right-rotate::before {
+  content: "\f01e"; }
+
+.fa-arrow-rotate-forward::before {
+  content: "\f01e"; }
+
+.fa-redo::before {
+  content: "\f01e"; }
+
+.fa-biohazard::before {
+  content: "\f780"; }
+
+.fa-location-crosshairs::before {
+  content: "\f601"; }
+
+.fa-location::before {
+  content: "\f601"; }
+
+.fa-mars-double::before {
+  content: "\f227"; }
+
+.fa-child-dress::before {
+  content: "\e59c"; }
+
+.fa-users-between-lines::before {
+  content: "\e591"; }
+
+.fa-lungs-virus::before {
+  content: "\e067"; }
+
+.fa-face-grin-tears::before {
+  content: "\f588"; }
+
+.fa-grin-tears::before {
+  content: "\f588"; }
+
+.fa-phone::before {
+  content: "\f095"; }
+
+.fa-calendar-xmark::before {
+  content: "\f273"; }
+
+.fa-calendar-times::before {
+  content: "\f273"; }
+
+.fa-child-reaching::before {
+  content: "\e59d"; }
+
+.fa-head-side-virus::before {
+  content: "\e064"; }
+
+.fa-user-gear::before {
+  content: "\f4fe"; }
+
+.fa-user-cog::before {
+  content: "\f4fe"; }
+
+.fa-arrow-up-1-9::before {
+  content: "\f163"; }
+
+.fa-sort-numeric-up::before {
+  content: "\f163"; }
+
+.fa-door-closed::before {
+  content: "\f52a"; }
+
+.fa-shield-virus::before {
+  content: "\e06c"; }
+
+.fa-dice-six::before {
+  content: "\f526"; }
+
+.fa-mosquito-net::before {
+  content: "\e52c"; }
+
+.fa-bridge-water::before {
+  content: "\e4ce"; }
+
+.fa-person-booth::before {
+  content: "\f756"; }
+
+.fa-text-width::before {
+  content: "\f035"; }
+
+.fa-hat-wizard::before {
+  content: "\f6e8"; }
+
+.fa-pen-fancy::before {
+  content: "\f5ac"; }
+
+.fa-person-digging::before {
+  content: "\f85e"; }
+
+.fa-digging::before {
+  content: "\f85e"; }
+
+.fa-trash::before {
+  content: "\f1f8"; }
+
+.fa-gauge-simple::before {
+  content: "\f629"; }
+
+.fa-gauge-simple-med::before {
+  content: "\f629"; }
+
+.fa-tachometer-average::before {
+  content: "\f629"; }
+
+.fa-book-medical::before {
+  content: "\f7e6"; }
+
+.fa-poo::before {
+  content: "\f2fe"; }
+
+.fa-quote-right::before {
+  content: "\f10e"; }
+
+.fa-quote-right-alt::before {
+  content: "\f10e"; }
+
+.fa-shirt::before {
+  content: "\f553"; }
+
+.fa-t-shirt::before {
+  content: "\f553"; }
+
+.fa-tshirt::before {
+  content: "\f553"; }
+
+.fa-cubes::before {
+  content: "\f1b3"; }
+
+.fa-divide::before {
+  content: "\f529"; }
+
+.fa-tenge-sign::before {
+  content: "\f7d7"; }
+
+.fa-tenge::before {
+  content: "\f7d7"; }
+
+.fa-headphones::before {
+  content: "\f025"; }
+
+.fa-hands-holding::before {
+  content: "\f4c2"; }
+
+.fa-hands-clapping::before {
+  content: "\e1a8"; }
+
+.fa-republican::before {
+  content: "\f75e"; }
+
+.fa-arrow-left::before {
+  content: "\f060"; }
+
+.fa-person-circle-xmark::before {
+  content: "\e543"; }
+
+.fa-ruler::before {
+  content: "\f545"; }
+
+.fa-align-left::before {
+  content: "\f036"; }
+
+.fa-dice-d6::before {
+  content: "\f6d1"; }
+
+.fa-restroom::before {
+  content: "\f7bd"; }
+
+.fa-j::before {
+  content: "\4a"; }
+
+.fa-users-viewfinder::before {
+  content: "\e595"; }
+
+.fa-file-video::before {
+  content: "\f1c8"; }
+
+.fa-up-right-from-square::before {
+  content: "\f35d"; }
+
+.fa-external-link-alt::before {
+  content: "\f35d"; }
+
+.fa-table-cells::before {
+  content: "\f00a"; }
+
+.fa-th::before {
+  content: "\f00a"; }
+
+.fa-file-pdf::before {
+  content: "\f1c1"; }
+
+.fa-book-bible::before {
+  content: "\f647"; }
+
+.fa-bible::before {
+  content: "\f647"; }
+
+.fa-o::before {
+  content: "\4f"; }
+
+.fa-suitcase-medical::before {
+  content: "\f0fa"; }
+
+.fa-medkit::before {
+  content: "\f0fa"; }
+
+.fa-user-secret::before {
+  content: "\f21b"; }
+
+.fa-otter::before {
+  content: "\f700"; }
+
+.fa-person-dress::before {
+  content: "\f182"; }
+
+.fa-female::before {
+  content: "\f182"; }
+
+.fa-comment-dollar::before {
+  content: "\f651"; }
+
+.fa-business-time::before {
+  content: "\f64a"; }
+
+.fa-briefcase-clock::before {
+  content: "\f64a"; }
+
+.fa-table-cells-large::before {
+  content: "\f009"; }
+
+.fa-th-large::before {
+  content: "\f009"; }
+
+.fa-book-tanakh::before {
+  content: "\f827"; }
+
+.fa-tanakh::before {
+  content: "\f827"; }
+
+.fa-phone-volume::before {
+  content: "\f2a0"; }
+
+.fa-volume-control-phone::before {
+  content: "\f2a0"; }
+
+.fa-hat-cowboy-side::before {
+  content: "\f8c1"; }
+
+.fa-clipboard-user::before {
+  content: "\f7f3"; }
+
+.fa-child::before {
+  content: "\f1ae"; }
+
+.fa-lira-sign::before {
+  content: "\f195"; }
+
+.fa-satellite::before {
+  content: "\f7bf"; }
+
+.fa-plane-lock::before {
+  content: "\e558"; }
+
+.fa-tag::before {
+  content: "\f02b"; }
+
+.fa-comment::before {
+  content: "\f075"; }
+
+.fa-cake-candles::before {
+  content: "\f1fd"; }
+
+.fa-birthday-cake::before {
+  content: "\f1fd"; }
+
+.fa-cake::before {
+  content: "\f1fd"; }
+
+.fa-envelope::before {
+  content: "\f0e0"; }
+
+.fa-angles-up::before {
+  content: "\f102"; }
+
+.fa-angle-double-up::before {
+  content: "\f102"; }
+
+.fa-paperclip::before {
+  content: "\f0c6"; }
+
+.fa-arrow-right-to-city::before {
+  content: "\e4b3"; }
+
+.fa-ribbon::before {
+  content: "\f4d6"; }
+
+.fa-lungs::before {
+  content: "\f604"; }
+
+.fa-arrow-up-9-1::before {
+  content: "\f887"; }
+
+.fa-sort-numeric-up-alt::before {
+  content: "\f887"; }
+
+.fa-litecoin-sign::before {
+  content: "\e1d3"; }
+
+.fa-border-none::before {
+  content: "\f850"; }
+
+.fa-circle-nodes::before {
+  content: "\e4e2"; }
+
+.fa-parachute-box::before {
+  content: "\f4cd"; }
+
+.fa-indent::before {
+  content: "\f03c"; }
+
+.fa-truck-field-un::before {
+  content: "\e58e"; }
+
+.fa-hourglass::before {
+  content: "\f254"; }
+
+.fa-hourglass-empty::before {
+  content: "\f254"; }
+
+.fa-mountain::before {
+  content: "\f6fc"; }
+
+.fa-user-doctor::before {
+  content: "\f0f0"; }
+
+.fa-user-md::before {
+  content: "\f0f0"; }
+
+.fa-circle-info::before {
+  content: "\f05a"; }
+
+.fa-info-circle::before {
+  content: "\f05a"; }
+
+.fa-cloud-meatball::before {
+  content: "\f73b"; }
+
+.fa-camera::before {
+  content: "\f030"; }
+
+.fa-camera-alt::before {
+  content: "\f030"; }
+
+.fa-square-virus::before {
+  content: "\e578"; }
+
+.fa-meteor::before {
+  content: "\f753"; }
+
+.fa-car-on::before {
+  content: "\e4dd"; }
+
+.fa-sleigh::before {
+  content: "\f7cc"; }
+
+.fa-arrow-down-1-9::before {
+  content: "\f162"; }
+
+.fa-sort-numeric-asc::before {
+  content: "\f162"; }
+
+.fa-sort-numeric-down::before {
+  content: "\f162"; }
+
+.fa-hand-holding-droplet::before {
+  content: "\f4c1"; }
+
+.fa-hand-holding-water::before {
+  content: "\f4c1"; }
+
+.fa-water::before {
+  content: "\f773"; }
+
+.fa-calendar-check::before {
+  content: "\f274"; }
+
+.fa-braille::before {
+  content: "\f2a1"; }
+
+.fa-prescription-bottle-medical::before {
+  content: "\f486"; }
+
+.fa-prescription-bottle-alt::before {
+  content: "\f486"; }
+
+.fa-landmark::before {
+  content: "\f66f"; }
+
+.fa-truck::before {
+  content: "\f0d1"; }
+
+.fa-crosshairs::before {
+  content: "\f05b"; }
+
+.fa-person-cane::before {
+  content: "\e53c"; }
+
+.fa-tent::before {
+  content: "\e57d"; }
+
+.fa-vest-patches::before {
+  content: "\e086"; }
+
+.fa-check-double::before {
+  content: "\f560"; }
+
+.fa-arrow-down-a-z::before {
+  content: "\f15d"; }
+
+.fa-sort-alpha-asc::before {
+  content: "\f15d"; }
+
+.fa-sort-alpha-down::before {
+  content: "\f15d"; }
+
+.fa-money-bill-wheat::before {
+  content: "\e52a"; }
+
+.fa-cookie::before {
+  content: "\f563"; }
+
+.fa-arrow-rotate-left::before {
+  content: "\f0e2"; }
+
+.fa-arrow-left-rotate::before {
+  content: "\f0e2"; }
+
+.fa-arrow-rotate-back::before {
+  content: "\f0e2"; }
+
+.fa-arrow-rotate-backward::before {
+  content: "\f0e2"; }
+
+.fa-undo::before {
+  content: "\f0e2"; }
+
+.fa-hard-drive::before {
+  content: "\f0a0"; }
+
+.fa-hdd::before {
+  content: "\f0a0"; }
+
+.fa-face-grin-squint-tears::before {
+  content: "\f586"; }
+
+.fa-grin-squint-tears::before {
+  content: "\f586"; }
+
+.fa-dumbbell::before {
+  content: "\f44b"; }
+
+.fa-rectangle-list::before {
+  content: "\f022"; }
+
+.fa-list-alt::before {
+  content: "\f022"; }
+
+.fa-tarp-droplet::before {
+  content: "\e57c"; }
+
+.fa-house-medical-circle-check::before {
+  content: "\e511"; }
+
+.fa-person-skiing-nordic::before {
+  content: "\f7ca"; }
+
+.fa-skiing-nordic::before {
+  content: "\f7ca"; }
+
+.fa-calendar-plus::before {
+  content: "\f271"; }
+
+.fa-plane-arrival::before {
+  content: "\f5af"; }
+
+.fa-circle-left::before {
+  content: "\f359"; }
+
+.fa-arrow-alt-circle-left::before {
+  content: "\f359"; }
+
+.fa-train-subway::before {
+  content: "\f239"; }
+
+.fa-subway::before {
+  content: "\f239"; }
+
+.fa-chart-gantt::before {
+  content: "\e0e4"; }
+
+.fa-indian-rupee-sign::before {
+  content: "\e1bc"; }
+
+.fa-indian-rupee::before {
+  content: "\e1bc"; }
+
+.fa-inr::before {
+  content: "\e1bc"; }
+
+.fa-crop-simple::before {
+  content: "\f565"; }
+
+.fa-crop-alt::before {
+  content: "\f565"; }
+
+.fa-money-bill-1::before {
+  content: "\f3d1"; }
+
+.fa-money-bill-alt::before {
+  content: "\f3d1"; }
+
+.fa-left-long::before {
+  content: "\f30a"; }
+
+.fa-long-arrow-alt-left::before {
+  content: "\f30a"; }
+
+.fa-dna::before {
+  content: "\f471"; }
+
+.fa-virus-slash::before {
+  content: "\e075"; }
+
+.fa-minus::before {
+  content: "\f068"; }
+
+.fa-subtract::before {
+  content: "\f068"; }
+
+.fa-chess::before {
+  content: "\f439"; }
+
+.fa-arrow-left-long::before {
+  content: "\f177"; }
+
+.fa-long-arrow-left::before {
+  content: "\f177"; }
+
+.fa-plug-circle-check::before {
+  content: "\e55c"; }
+
+.fa-street-view::before {
+  content: "\f21d"; }
+
+.fa-franc-sign::before {
+  content: "\e18f"; }
+
+.fa-volume-off::before {
+  content: "\f026"; }
+
+.fa-hands-asl-interpreting::before {
+  content: "\f2a3"; }
+
+.fa-american-sign-language-interpreting::before {
+  content: "\f2a3"; }
+
+.fa-asl-interpreting::before {
+  content: "\f2a3"; }
+
+.fa-hands-american-sign-language-interpreting::before {
+  content: "\f2a3"; }
+
+.fa-gear::before {
+  content: "\f013"; }
+
+.fa-cog::before {
+  content: "\f013"; }
+
+.fa-droplet-slash::before {
+  content: "\f5c7"; }
+
+.fa-tint-slash::before {
+  content: "\f5c7"; }
+
+.fa-mosque::before {
+  content: "\f678"; }
+
+.fa-mosquito::before {
+  content: "\e52b"; }
+
+.fa-star-of-david::before {
+  content: "\f69a"; }
+
+.fa-person-military-rifle::before {
+  content: "\e54b"; }
+
+.fa-cart-shopping::before {
+  content: "\f07a"; }
+
+.fa-shopping-cart::before {
+  content: "\f07a"; }
+
+.fa-vials::before {
+  content: "\f493"; }
+
+.fa-plug-circle-plus::before {
+  content: "\e55f"; }
+
+.fa-place-of-worship::before {
+  content: "\f67f"; }
+
+.fa-grip-vertical::before {
+  content: "\f58e"; }
+
+.fa-arrow-turn-up::before {
+  content: "\f148"; }
+
+.fa-level-up::before {
+  content: "\f148"; }
+
+.fa-u::before {
+  content: "\55"; }
+
+.fa-square-root-variable::before {
+  content: "\f698"; }
+
+.fa-square-root-alt::before {
+  content: "\f698"; }
+
+.fa-clock::before {
+  content: "\f017"; }
+
+.fa-clock-four::before {
+  content: "\f017"; }
+
+.fa-backward-step::before {
+  content: "\f048"; }
+
+.fa-step-backward::before {
+  content: "\f048"; }
+
+.fa-pallet::before {
+  content: "\f482"; }
+
+.fa-faucet::before {
+  content: "\e005"; }
+
+.fa-baseball-bat-ball::before {
+  content: "\f432"; }
+
+.fa-s::before {
+  content: "\53"; }
+
+.fa-timeline::before {
+  content: "\e29c"; }
+
+.fa-keyboard::before {
+  content: "\f11c"; }
+
+.fa-caret-down::before {
+  content: "\f0d7"; }
+
+.fa-house-chimney-medical::before {
+  content: "\f7f2"; }
+
+.fa-clinic-medical::before {
+  content: "\f7f2"; }
+
+.fa-temperature-three-quarters::before {
+  content: "\f2c8"; }
+
+.fa-temperature-3::before {
+  content: "\f2c8"; }
+
+.fa-thermometer-3::before {
+  content: "\f2c8"; }
+
+.fa-thermometer-three-quarters::before {
+  content: "\f2c8"; }
+
+.fa-mobile-screen::before {
+  content: "\f3cf"; }
+
+.fa-mobile-android-alt::before {
+  content: "\f3cf"; }
+
+.fa-plane-up::before {
+  content: "\e22d"; }
+
+.fa-piggy-bank::before {
+  content: "\f4d3"; }
+
+.fa-battery-half::before {
+  content: "\f242"; }
+
+.fa-battery-3::before {
+  content: "\f242"; }
+
+.fa-mountain-city::before {
+  content: "\e52e"; }
+
+.fa-coins::before {
+  content: "\f51e"; }
+
+.fa-khanda::before {
+  content: "\f66d"; }
+
+.fa-sliders::before {
+  content: "\f1de"; }
+
+.fa-sliders-h::before {
+  content: "\f1de"; }
+
+.fa-folder-tree::before {
+  content: "\f802"; }
+
+.fa-network-wired::before {
+  content: "\f6ff"; }
+
+.fa-map-pin::before {
+  content: "\f276"; }
+
+.fa-hamsa::before {
+  content: "\f665"; }
+
+.fa-cent-sign::before {
+  content: "\e3f5"; }
+
+.fa-flask::before {
+  content: "\f0c3"; }
+
+.fa-person-pregnant::before {
+  content: "\e31e"; }
+
+.fa-wand-sparkles::before {
+  content: "\f72b"; }
+
+.fa-ellipsis-vertical::before {
+  content: "\f142"; }
+
+.fa-ellipsis-v::before {
+  content: "\f142"; }
+
+.fa-ticket::before {
+  content: "\f145"; }
+
+.fa-power-off::before {
+  content: "\f011"; }
+
+.fa-right-long::before {
+  content: "\f30b"; }
+
+.fa-long-arrow-alt-right::before {
+  content: "\f30b"; }
+
+.fa-flag-usa::before {
+  content: "\f74d"; }
+
+.fa-laptop-file::before {
+  content: "\e51d"; }
+
+.fa-tty::before {
+  content: "\f1e4"; }
+
+.fa-teletype::before {
+  content: "\f1e4"; }
+
+.fa-diagram-next::before {
+  content: "\e476"; }
+
+.fa-person-rifle::before {
+  content: "\e54e"; }
+
+.fa-house-medical-circle-exclamation::before {
+  content: "\e512"; }
+
+.fa-closed-captioning::before {
+  content: "\f20a"; }
+
+.fa-person-hiking::before {
+  content: "\f6ec"; }
+
+.fa-hiking::before {
+  content: "\f6ec"; }
+
+.fa-venus-double::before {
+  content: "\f226"; }
+
+.fa-images::before {
+  content: "\f302"; }
+
+.fa-calculator::before {
+  content: "\f1ec"; }
+
+.fa-people-pulling::before {
+  content: "\e535"; }
+
+.fa-n::before {
+  content: "\4e"; }
+
+.fa-cable-car::before {
+  content: "\f7da"; }
+
+.fa-tram::before {
+  content: "\f7da"; }
+
+.fa-cloud-rain::before {
+  content: "\f73d"; }
+
+.fa-building-circle-xmark::before {
+  content: "\e4d4"; }
+
+.fa-ship::before {
+  content: "\f21a"; }
+
+.fa-arrows-down-to-line::before {
+  content: "\e4b8"; }
+
+.fa-download::before {
+  content: "\f019"; }
+
+.fa-face-grin::before {
+  content: "\f580"; }
+
+.fa-grin::before {
+  content: "\f580"; }
+
+.fa-delete-left::before {
+  content: "\f55a"; }
+
+.fa-backspace::before {
+  content: "\f55a"; }
+
+.fa-eye-dropper::before {
+  content: "\f1fb"; }
+
+.fa-eye-dropper-empty::before {
+  content: "\f1fb"; }
+
+.fa-eyedropper::before {
+  content: "\f1fb"; }
+
+.fa-file-circle-check::before {
+  content: "\e5a0"; }
+
+.fa-forward::before {
+  content: "\f04e"; }
+
+.fa-mobile::before {
+  content: "\f3ce"; }
+
+.fa-mobile-android::before {
+  content: "\f3ce"; }
+
+.fa-mobile-phone::before {
+  content: "\f3ce"; }
+
+.fa-face-meh::before {
+  content: "\f11a"; }
+
+.fa-meh::before {
+  content: "\f11a"; }
+
+.fa-align-center::before {
+  content: "\f037"; }
+
+.fa-book-skull::before {
+  content: "\f6b7"; }
+
+.fa-book-dead::before {
+  content: "\f6b7"; }
+
+.fa-id-card::before {
+  content: "\f2c2"; }
+
+.fa-drivers-license::before {
+  content: "\f2c2"; }
+
+.fa-outdent::before {
+  content: "\f03b"; }
+
+.fa-dedent::before {
+  content: "\f03b"; }
+
+.fa-heart-circle-exclamation::before {
+  content: "\e4fe"; }
+
+.fa-house::before {
+  content: "\f015"; }
+
+.fa-home::before {
+  content: "\f015"; }
+
+.fa-home-alt::before {
+  content: "\f015"; }
+
+.fa-home-lg-alt::before {
+  content: "\f015"; }
+
+.fa-calendar-week::before {
+  content: "\f784"; }
+
+.fa-laptop-medical::before {
+  content: "\f812"; }
+
+.fa-b::before {
+  content: "\42"; }
+
+.fa-file-medical::before {
+  content: "\f477"; }
+
+.fa-dice-one::before {
+  content: "\f525"; }
+
+.fa-kiwi-bird::before {
+  content: "\f535"; }
+
+.fa-arrow-right-arrow-left::before {
+  content: "\f0ec"; }
+
+.fa-exchange::before {
+  content: "\f0ec"; }
+
+.fa-rotate-right::before {
+  content: "\f2f9"; }
+
+.fa-redo-alt::before {
+  content: "\f2f9"; }
+
+.fa-rotate-forward::before {
+  content: "\f2f9"; }
+
+.fa-utensils::before {
+  content: "\f2e7"; }
+
+.fa-cutlery::before {
+  content: "\f2e7"; }
+
+.fa-arrow-up-wide-short::before {
+  content: "\f161"; }
+
+.fa-sort-amount-up::before {
+  content: "\f161"; }
+
+.fa-mill-sign::before {
+  content: "\e1ed"; }
+
+.fa-bowl-rice::before {
+  content: "\e2eb"; }
+
+.fa-skull::before {
+  content: "\f54c"; }
+
+.fa-tower-broadcast::before {
+  content: "\f519"; }
+
+.fa-broadcast-tower::before {
+  content: "\f519"; }
+
+.fa-truck-pickup::before {
+  content: "\f63c"; }
+
+.fa-up-long::before {
+  content: "\f30c"; }
+
+.fa-long-arrow-alt-up::before {
+  content: "\f30c"; }
+
+.fa-stop::before {
+  content: "\f04d"; }
+
+.fa-code-merge::before {
+  content: "\f387"; }
+
+.fa-upload::before {
+  content: "\f093"; }
+
+.fa-hurricane::before {
+  content: "\f751"; }
+
+.fa-mound::before {
+  content: "\e52d"; }
+
+.fa-toilet-portable::before {
+  content: "\e583"; }
+
+.fa-compact-disc::before {
+  content: "\f51f"; }
+
+.fa-file-arrow-down::before {
+  content: "\f56d"; }
+
+.fa-file-download::before {
+  content: "\f56d"; }
+
+.fa-caravan::before {
+  content: "\f8ff"; }
+
+.fa-shield-cat::before {
+  content: "\e572"; }
+
+.fa-bolt::before {
+  content: "\f0e7"; }
+
+.fa-zap::before {
+  content: "\f0e7"; }
+
+.fa-glass-water::before {
+  content: "\e4f4"; }
+
+.fa-oil-well::before {
+  content: "\e532"; }
+
+.fa-vault::before {
+  content: "\e2c5"; }
+
+.fa-mars::before {
+  content: "\f222"; }
+
+.fa-toilet::before {
+  content: "\f7d8"; }
+
+.fa-plane-circle-xmark::before {
+  content: "\e557"; }
+
+.fa-yen-sign::before {
+  content: "\f157"; }
+
+.fa-cny::before {
+  content: "\f157"; }
+
+.fa-jpy::before {
+  content: "\f157"; }
+
+.fa-rmb::before {
+  content: "\f157"; }
+
+.fa-yen::before {
+  content: "\f157"; }
+
+.fa-ruble-sign::before {
+  content: "\f158"; }
+
+.fa-rouble::before {
+  content: "\f158"; }
+
+.fa-rub::before {
+  content: "\f158"; }
+
+.fa-ruble::before {
+  content: "\f158"; }
+
+.fa-sun::before {
+  content: "\f185"; }
+
+.fa-guitar::before {
+  content: "\f7a6"; }
+
+.fa-face-laugh-wink::before {
+  content: "\f59c"; }
+
+.fa-laugh-wink::before {
+  content: "\f59c"; }
+
+.fa-horse-head::before {
+  content: "\f7ab"; }
+
+.fa-bore-hole::before {
+  content: "\e4c3"; }
+
+.fa-industry::before {
+  content: "\f275"; }
+
+.fa-circle-down::before {
+  content: "\f358"; }
+
+.fa-arrow-alt-circle-down::before {
+  content: "\f358"; }
+
+.fa-arrows-turn-to-dots::before {
+  content: "\e4c1"; }
+
+.fa-florin-sign::before {
+  content: "\e184"; }
+
+.fa-arrow-down-short-wide::before {
+  content: "\f884"; }
+
+.fa-sort-amount-desc::before {
+  content: "\f884"; }
+
+.fa-sort-amount-down-alt::before {
+  content: "\f884"; }
+
+.fa-less-than::before {
+  content: "\3c"; }
+
+.fa-angle-down::before {
+  content: "\f107"; }
+
+.fa-car-tunnel::before {
+  content: "\e4de"; }
+
+.fa-head-side-cough::before {
+  content: "\e061"; }
+
+.fa-grip-lines::before {
+  content: "\f7a4"; }
+
+.fa-thumbs-down::before {
+  content: "\f165"; }
+
+.fa-user-lock::before {
+  content: "\f502"; }
+
+.fa-arrow-right-long::before {
+  content: "\f178"; }
+
+.fa-long-arrow-right::before {
+  content: "\f178"; }
+
+.fa-anchor-circle-xmark::before {
+  content: "\e4ac"; }
+
+.fa-ellipsis::before {
+  content: "\f141"; }
+
+.fa-ellipsis-h::before {
+  content: "\f141"; }
+
+.fa-chess-pawn::before {
+  content: "\f443"; }
+
+.fa-kit-medical::before {
+  content: "\f479"; }
+
+.fa-first-aid::before {
+  content: "\f479"; }
+
+.fa-person-through-window::before {
+  content: "\e5a9"; }
+
+.fa-toolbox::before {
+  content: "\f552"; }
+
+.fa-hands-holding-circle::before {
+  content: "\e4fb"; }
+
+.fa-bug::before {
+  content: "\f188"; }
+
+.fa-credit-card::before {
+  content: "\f09d"; }
+
+.fa-credit-card-alt::before {
+  content: "\f09d"; }
+
+.fa-car::before {
+  content: "\f1b9"; }
+
+.fa-automobile::before {
+  content: "\f1b9"; }
+
+.fa-hand-holding-hand::before {
+  content: "\e4f7"; }
+
+.fa-book-open-reader::before {
+  content: "\f5da"; }
+
+.fa-book-reader::before {
+  content: "\f5da"; }
+
+.fa-mountain-sun::before {
+  content: "\e52f"; }
+
+.fa-arrows-left-right-to-line::before {
+  content: "\e4ba"; }
+
+.fa-dice-d20::before {
+  content: "\f6cf"; }
+
+.fa-truck-droplet::before {
+  content: "\e58c"; }
+
+.fa-file-circle-xmark::before {
+  content: "\e5a1"; }
+
+.fa-temperature-arrow-up::before {
+  content: "\e040"; }
+
+.fa-temperature-up::before {
+  content: "\e040"; }
+
+.fa-medal::before {
+  content: "\f5a2"; }
+
+.fa-bed::before {
+  content: "\f236"; }
+
+.fa-square-h::before {
+  content: "\f0fd"; }
+
+.fa-h-square::before {
+  content: "\f0fd"; }
+
+.fa-podcast::before {
+  content: "\f2ce"; }
+
+.fa-temperature-full::before {
+  content: "\f2c7"; }
+
+.fa-temperature-4::before {
+  content: "\f2c7"; }
+
+.fa-thermometer-4::before {
+  content: "\f2c7"; }
+
+.fa-thermometer-full::before {
+  content: "\f2c7"; }
+
+.fa-bell::before {
+  content: "\f0f3"; }
+
+.fa-superscript::before {
+  content: "\f12b"; }
+
+.fa-plug-circle-xmark::before {
+  content: "\e560"; }
+
+.fa-star-of-life::before {
+  content: "\f621"; }
+
+.fa-phone-slash::before {
+  content: "\f3dd"; }
+
+.fa-paint-roller::before {
+  content: "\f5aa"; }
+
+.fa-handshake-angle::before {
+  content: "\f4c4"; }
+
+.fa-hands-helping::before {
+  content: "\f4c4"; }
+
+.fa-location-dot::before {
+  content: "\f3c5"; }
+
+.fa-map-marker-alt::before {
+  content: "\f3c5"; }
+
+.fa-file::before {
+  content: "\f15b"; }
+
+.fa-greater-than::before {
+  content: "\3e"; }
+
+.fa-person-swimming::before {
+  content: "\f5c4"; }
+
+.fa-swimmer::before {
+  content: "\f5c4"; }
+
+.fa-arrow-down::before {
+  content: "\f063"; }
+
+.fa-droplet::before {
+  content: "\f043"; }
+
+.fa-tint::before {
+  content: "\f043"; }
+
+.fa-eraser::before {
+  content: "\f12d"; }
+
+.fa-earth-americas::before {
+  content: "\f57d"; }
+
+.fa-earth::before {
+  content: "\f57d"; }
+
+.fa-earth-america::before {
+  content: "\f57d"; }
+
+.fa-globe-americas::before {
+  content: "\f57d"; }
+
+.fa-person-burst::before {
+  content: "\e53b"; }
+
+.fa-dove::before {
+  content: "\f4ba"; }
+
+.fa-battery-empty::before {
+  content: "\f244"; }
+
+.fa-battery-0::before {
+  content: "\f244"; }
+
+.fa-socks::before {
+  content: "\f696"; }
+
+.fa-inbox::before {
+  content: "\f01c"; }
+
+.fa-section::before {
+  content: "\e447"; }
+
+.fa-gauge-high::before {
+  content: "\f625"; }
+
+.fa-tachometer-alt::before {
+  content: "\f625"; }
+
+.fa-tachometer-alt-fast::before {
+  content: "\f625"; }
+
+.fa-envelope-open-text::before {
+  content: "\f658"; }
+
+.fa-hospital::before {
+  content: "\f0f8"; }
+
+.fa-hospital-alt::before {
+  content: "\f0f8"; }
+
+.fa-hospital-wide::before {
+  content: "\f0f8"; }
+
+.fa-wine-bottle::before {
+  content: "\f72f"; }
+
+.fa-chess-rook::before {
+  content: "\f447"; }
+
+.fa-bars-staggered::before {
+  content: "\f550"; }
+
+.fa-reorder::before {
+  content: "\f550"; }
+
+.fa-stream::before {
+  content: "\f550"; }
+
+.fa-dharmachakra::before {
+  content: "\f655"; }
+
+.fa-hotdog::before {
+  content: "\f80f"; }
+
+.fa-person-walking-with-cane::before {
+  content: "\f29d"; }
+
+.fa-blind::before {
+  content: "\f29d"; }
+
+.fa-drum::before {
+  content: "\f569"; }
+
+.fa-ice-cream::before {
+  content: "\f810"; }
+
+.fa-heart-circle-bolt::before {
+  content: "\e4fc"; }
+
+.fa-fax::before {
+  content: "\f1ac"; }
+
+.fa-paragraph::before {
+  content: "\f1dd"; }
+
+.fa-check-to-slot::before {
+  content: "\f772"; }
+
+.fa-vote-yea::before {
+  content: "\f772"; }
+
+.fa-star-half::before {
+  content: "\f089"; }
+
+.fa-boxes-stacked::before {
+  content: "\f468"; }
+
+.fa-boxes::before {
+  content: "\f468"; }
+
+.fa-boxes-alt::before {
+  content: "\f468"; }
+
+.fa-link::before {
+  content: "\f0c1"; }
+
+.fa-chain::before {
+  content: "\f0c1"; }
+
+.fa-ear-listen::before {
+  content: "\f2a2"; }
+
+.fa-assistive-listening-systems::before {
+  content: "\f2a2"; }
+
+.fa-tree-city::before {
+  content: "\e587"; }
+
+.fa-play::before {
+  content: "\f04b"; }
+
+.fa-font::before {
+  content: "\f031"; }
+
+.fa-rupiah-sign::before {
+  content: "\e23d"; }
+
+.fa-magnifying-glass::before {
+  content: "\f002"; }
+
+.fa-search::before {
+  content: "\f002"; }
+
+.fa-table-tennis-paddle-ball::before {
+  content: "\f45d"; }
+
+.fa-ping-pong-paddle-ball::before {
+  content: "\f45d"; }
+
+.fa-table-tennis::before {
+  content: "\f45d"; }
+
+.fa-person-dots-from-line::before {
+  content: "\f470"; }
+
+.fa-diagnoses::before {
+  content: "\f470"; }
+
+.fa-trash-can-arrow-up::before {
+  content: "\f82a"; }
+
+.fa-trash-restore-alt::before {
+  content: "\f82a"; }
+
+.fa-naira-sign::before {
+  content: "\e1f6"; }
+
+.fa-cart-arrow-down::before {
+  content: "\f218"; }
+
+.fa-walkie-talkie::before {
+  content: "\f8ef"; }
+
+.fa-file-pen::before {
+  content: "\f31c"; }
+
+.fa-file-edit::before {
+  content: "\f31c"; }
+
+.fa-receipt::before {
+  content: "\f543"; }
+
+.fa-square-pen::before {
+  content: "\f14b"; }
+
+.fa-pen-square::before {
+  content: "\f14b"; }
+
+.fa-pencil-square::before {
+  content: "\f14b"; }
+
+.fa-suitcase-rolling::before {
+  content: "\f5c1"; }
+
+.fa-person-circle-exclamation::before {
+  content: "\e53f"; }
+
+.fa-chevron-down::before {
+  content: "\f078"; }
+
+.fa-battery-full::before {
+  content: "\f240"; }
+
+.fa-battery::before {
+  content: "\f240"; }
+
+.fa-battery-5::before {
+  content: "\f240"; }
+
+.fa-skull-crossbones::before {
+  content: "\f714"; }
+
+.fa-code-compare::before {
+  content: "\e13a"; }
+
+.fa-list-ul::before {
+  content: "\f0ca"; }
+
+.fa-list-dots::before {
+  content: "\f0ca"; }
+
+.fa-school-lock::before {
+  content: "\e56f"; }
+
+.fa-tower-cell::before {
+  content: "\e585"; }
+
+.fa-down-long::before {
+  content: "\f309"; }
+
+.fa-long-arrow-alt-down::before {
+  content: "\f309"; }
+
+.fa-ranking-star::before {
+  content: "\e561"; }
+
+.fa-chess-king::before {
+  content: "\f43f"; }
+
+.fa-person-harassing::before {
+  content: "\e549"; }
+
+.fa-brazilian-real-sign::before {
+  content: "\e46c"; }
+
+.fa-landmark-dome::before {
+  content: "\f752"; }
+
+.fa-landmark-alt::before {
+  content: "\f752"; }
+
+.fa-arrow-up::before {
+  content: "\f062"; }
+
+.fa-tv::before {
+  content: "\f26c"; }
+
+.fa-television::before {
+  content: "\f26c"; }
+
+.fa-tv-alt::before {
+  content: "\f26c"; }
+
+.fa-shrimp::before {
+  content: "\e448"; }
+
+.fa-list-check::before {
+  content: "\f0ae"; }
+
+.fa-tasks::before {
+  content: "\f0ae"; }
+
+.fa-jug-detergent::before {
+  content: "\e519"; }
+
+.fa-circle-user::before {
+  content: "\f2bd"; }
+
+.fa-user-circle::before {
+  content: "\f2bd"; }
+
+.fa-user-shield::before {
+  content: "\f505"; }
+
+.fa-wind::before {
+  content: "\f72e"; }
+
+.fa-car-burst::before {
+  content: "\f5e1"; }
+
+.fa-car-crash::before {
+  content: "\f5e1"; }
+
+.fa-y::before {
+  content: "\59"; }
+
+.fa-person-snowboarding::before {
+  content: "\f7ce"; }
+
+.fa-snowboarding::before {
+  content: "\f7ce"; }
+
+.fa-truck-fast::before {
+  content: "\f48b"; }
+
+.fa-shipping-fast::before {
+  content: "\f48b"; }
+
+.fa-fish::before {
+  content: "\f578"; }
+
+.fa-user-graduate::before {
+  content: "\f501"; }
+
+.fa-circle-half-stroke::before {
+  content: "\f042"; }
+
+.fa-adjust::before {
+  content: "\f042"; }
+
+.fa-clapperboard::before {
+  content: "\e131"; }
+
+.fa-circle-radiation::before {
+  content: "\f7ba"; }
+
+.fa-radiation-alt::before {
+  content: "\f7ba"; }
+
+.fa-baseball::before {
+  content: "\f433"; }
+
+.fa-baseball-ball::before {
+  content: "\f433"; }
+
+.fa-jet-fighter-up::before {
+  content: "\e518"; }
+
+.fa-diagram-project::before {
+  content: "\f542"; }
+
+.fa-project-diagram::before {
+  content: "\f542"; }
+
+.fa-copy::before {
+  content: "\f0c5"; }
+
+.fa-volume-xmark::before {
+  content: "\f6a9"; }
+
+.fa-volume-mute::before {
+  content: "\f6a9"; }
+
+.fa-volume-times::before {
+  content: "\f6a9"; }
+
+.fa-hand-sparkles::before {
+  content: "\e05d"; }
+
+.fa-grip::before {
+  content: "\f58d"; }
+
+.fa-grip-horizontal::before {
+  content: "\f58d"; }
+
+.fa-share-from-square::before {
+  content: "\f14d"; }
+
+.fa-share-square::before {
+  content: "\f14d"; }
+
+.fa-child-combatant::before {
+  content: "\e4e0"; }
+
+.fa-child-rifle::before {
+  content: "\e4e0"; }
+
+.fa-gun::before {
+  content: "\e19b"; }
+
+.fa-square-phone::before {
+  content: "\f098"; }
+
+.fa-phone-square::before {
+  content: "\f098"; }
+
+.fa-plus::before {
+  content: "\2b"; }
+
+.fa-add::before {
+  content: "\2b"; }
+
+.fa-expand::before {
+  content: "\f065"; }
+
+.fa-computer::before {
+  content: "\e4e5"; }
+
+.fa-xmark::before {
+  content: "\f00d"; }
+
+.fa-close::before {
+  content: "\f00d"; }
+
+.fa-multiply::before {
+  content: "\f00d"; }
+
+.fa-remove::before {
+  content: "\f00d"; }
+
+.fa-times::before {
+  content: "\f00d"; }
+
+.fa-arrows-up-down-left-right::before {
+  content: "\f047"; }
+
+.fa-arrows::before {
+  content: "\f047"; }
+
+.fa-chalkboard-user::before {
+  content: "\f51c"; }
+
+.fa-chalkboard-teacher::before {
+  content: "\f51c"; }
+
+.fa-peso-sign::before {
+  content: "\e222"; }
+
+.fa-building-shield::before {
+  content: "\e4d8"; }
+
+.fa-baby::before {
+  content: "\f77c"; }
+
+.fa-users-line::before {
+  content: "\e592"; }
+
+.fa-quote-left::before {
+  content: "\f10d"; }
+
+.fa-quote-left-alt::before {
+  content: "\f10d"; }
+
+.fa-tractor::before {
+  content: "\f722"; }
+
+.fa-trash-arrow-up::before {
+  content: "\f829"; }
+
+.fa-trash-restore::before {
+  content: "\f829"; }
+
+.fa-arrow-down-up-lock::before {
+  content: "\e4b0"; }
+
+.fa-lines-leaning::before {
+  content: "\e51e"; }
+
+.fa-ruler-combined::before {
+  content: "\f546"; }
+
+.fa-copyright::before {
+  content: "\f1f9"; }
+
+.fa-equals::before {
+  content: "\3d"; }
+
+.fa-blender::before {
+  content: "\f517"; }
+
+.fa-teeth::before {
+  content: "\f62e"; }
+
+.fa-shekel-sign::before {
+  content: "\f20b"; }
+
+.fa-ils::before {
+  content: "\f20b"; }
+
+.fa-shekel::before {
+  content: "\f20b"; }
+
+.fa-sheqel::before {
+  content: "\f20b"; }
+
+.fa-sheqel-sign::before {
+  content: "\f20b"; }
+
+.fa-map::before {
+  content: "\f279"; }
+
+.fa-rocket::before {
+  content: "\f135"; }
+
+.fa-photo-film::before {
+  content: "\f87c"; }
+
+.fa-photo-video::before {
+  content: "\f87c"; }
+
+.fa-folder-minus::before {
+  content: "\f65d"; }
+
+.fa-store::before {
+  content: "\f54e"; }
+
+.fa-arrow-trend-up::before {
+  content: "\e098"; }
+
+.fa-plug-circle-minus::before {
+  content: "\e55e"; }
+
+.fa-sign-hanging::before {
+  content: "\f4d9"; }
+
+.fa-sign::before {
+  content: "\f4d9"; }
+
+.fa-bezier-curve::before {
+  content: "\f55b"; }
+
+.fa-bell-slash::before {
+  content: "\f1f6"; }
+
+.fa-tablet::before {
+  content: "\f3fb"; }
+
+.fa-tablet-android::before {
+  content: "\f3fb"; }
+
+.fa-school-flag::before {
+  content: "\e56e"; }
+
+.fa-fill::before {
+  content: "\f575"; }
+
+.fa-angle-up::before {
+  content: "\f106"; }
+
+.fa-drumstick-bite::before {
+  content: "\f6d7"; }
+
+.fa-holly-berry::before {
+  content: "\f7aa"; }
+
+.fa-chevron-left::before {
+  content: "\f053"; }
+
+.fa-bacteria::before {
+  content: "\e059"; }
+
+.fa-hand-lizard::before {
+  content: "\f258"; }
+
+.fa-notdef::before {
+  content: "\e1fe"; }
+
+.fa-disease::before {
+  content: "\f7fa"; }
+
+.fa-briefcase-medical::before {
+  content: "\f469"; }
+
+.fa-genderless::before {
+  content: "\f22d"; }
+
+.fa-chevron-right::before {
+  content: "\f054"; }
+
+.fa-retweet::before {
+  content: "\f079"; }
+
+.fa-car-rear::before {
+  content: "\f5de"; }
+
+.fa-car-alt::before {
+  content: "\f5de"; }
+
+.fa-pump-soap::before {
+  content: "\e06b"; }
+
+.fa-video-slash::before {
+  content: "\f4e2"; }
+
+.fa-battery-quarter::before {
+  content: "\f243"; }
+
+.fa-battery-2::before {
+  content: "\f243"; }
+
+.fa-radio::before {
+  content: "\f8d7"; }
+
+.fa-baby-carriage::before {
+  content: "\f77d"; }
+
+.fa-carriage-baby::before {
+  content: "\f77d"; }
+
+.fa-traffic-light::before {
+  content: "\f637"; }
+
+.fa-thermometer::before {
+  content: "\f491"; }
+
+.fa-vr-cardboard::before {
+  content: "\f729"; }
+
+.fa-hand-middle-finger::before {
+  content: "\f806"; }
+
+.fa-percent::before {
+  content: "\25"; }
+
+.fa-percentage::before {
+  content: "\25"; }
+
+.fa-truck-moving::before {
+  content: "\f4df"; }
+
+.fa-glass-water-droplet::before {
+  content: "\e4f5"; }
+
+.fa-display::before {
+  content: "\e163"; }
+
+.fa-face-smile::before {
+  content: "\f118"; }
+
+.fa-smile::before {
+  content: "\f118"; }
+
+.fa-thumbtack::before {
+  content: "\f08d"; }
+
+.fa-thumb-tack::before {
+  content: "\f08d"; }
+
+.fa-trophy::before {
+  content: "\f091"; }
+
+.fa-person-praying::before {
+  content: "\f683"; }
+
+.fa-pray::before {
+  content: "\f683"; }
+
+.fa-hammer::before {
+  content: "\f6e3"; }
+
+.fa-hand-peace::before {
+  content: "\f25b"; }
+
+.fa-rotate::before {
+  content: "\f2f1"; }
+
+.fa-sync-alt::before {
+  content: "\f2f1"; }
+
+.fa-spinner::before {
+  content: "\f110"; }
+
+.fa-robot::before {
+  content: "\f544"; }
+
+.fa-peace::before {
+  content: "\f67c"; }
+
+.fa-gears::before {
+  content: "\f085"; }
+
+.fa-cogs::before {
+  content: "\f085"; }
+
+.fa-warehouse::before {
+  content: "\f494"; }
+
+.fa-arrow-up-right-dots::before {
+  content: "\e4b7"; }
+
+.fa-splotch::before {
+  content: "\f5bc"; }
+
+.fa-face-grin-hearts::before {
+  content: "\f584"; }
+
+.fa-grin-hearts::before {
+  content: "\f584"; }
+
+.fa-dice-four::before {
+  content: "\f524"; }
+
+.fa-sim-card::before {
+  content: "\f7c4"; }
+
+.fa-transgender::before {
+  content: "\f225"; }
+
+.fa-transgender-alt::before {
+  content: "\f225"; }
+
+.fa-mercury::before {
+  content: "\f223"; }
+
+.fa-arrow-turn-down::before {
+  content: "\f149"; }
+
+.fa-level-down::before {
+  content: "\f149"; }
+
+.fa-person-falling-burst::before {
+  content: "\e547"; }
+
+.fa-award::before {
+  content: "\f559"; }
+
+.fa-ticket-simple::before {
+  content: "\f3ff"; }
+
+.fa-ticket-alt::before {
+  content: "\f3ff"; }
+
+.fa-building::before {
+  content: "\f1ad"; }
+
+.fa-angles-left::before {
+  content: "\f100"; }
+
+.fa-angle-double-left::before {
+  content: "\f100"; }
+
+.fa-qrcode::before {
+  content: "\f029"; }
+
+.fa-clock-rotate-left::before {
+  content: "\f1da"; }
+
+.fa-history::before {
+  content: "\f1da"; }
+
+.fa-face-grin-beam-sweat::before {
+  content: "\f583"; }
+
+.fa-grin-beam-sweat::before {
+  content: "\f583"; }
+
+.fa-file-export::before {
+  content: "\f56e"; }
+
+.fa-arrow-right-from-file::before {
+  content: "\f56e"; }
+
+.fa-shield::before {
+  content: "\f132"; }
+
+.fa-shield-blank::before {
+  content: "\f132"; }
+
+.fa-arrow-up-short-wide::before {
+  content: "\f885"; }
+
+.fa-sort-amount-up-alt::before {
+  content: "\f885"; }
+
+.fa-house-medical::before {
+  content: "\e3b2"; }
+
+.fa-golf-ball-tee::before {
+  content: "\f450"; }
+
+.fa-golf-ball::before {
+  content: "\f450"; }
+
+.fa-circle-chevron-left::before {
+  content: "\f137"; }
+
+.fa-chevron-circle-left::before {
+  content: "\f137"; }
+
+.fa-house-chimney-window::before {
+  content: "\e00d"; }
+
+.fa-pen-nib::before {
+  content: "\f5ad"; }
+
+.fa-tent-arrow-turn-left::before {
+  content: "\e580"; }
+
+.fa-tents::before {
+  content: "\e582"; }
+
+.fa-wand-magic::before {
+  content: "\f0d0"; }
+
+.fa-magic::before {
+  content: "\f0d0"; }
+
+.fa-dog::before {
+  content: "\f6d3"; }
+
+.fa-carrot::before {
+  content: "\f787"; }
+
+.fa-moon::before {
+  content: "\f186"; }
+
+.fa-wine-glass-empty::before {
+  content: "\f5ce"; }
+
+.fa-wine-glass-alt::before {
+  content: "\f5ce"; }
+
+.fa-cheese::before {
+  content: "\f7ef"; }
+
+.fa-yin-yang::before {
+  content: "\f6ad"; }
+
+.fa-music::before {
+  content: "\f001"; }
+
+.fa-code-commit::before {
+  content: "\f386"; }
+
+.fa-temperature-low::before {
+  content: "\f76b"; }
+
+.fa-person-biking::before {
+  content: "\f84a"; }
+
+.fa-biking::before {
+  content: "\f84a"; }
+
+.fa-broom::before {
+  content: "\f51a"; }
+
+.fa-shield-heart::before {
+  content: "\e574"; }
+
+.fa-gopuram::before {
+  content: "\f664"; }
+
+.fa-earth-oceania::before {
+  content: "\e47b"; }
+
+.fa-globe-oceania::before {
+  content: "\e47b"; }
+
+.fa-square-xmark::before {
+  content: "\f2d3"; }
+
+.fa-times-square::before {
+  content: "\f2d3"; }
+
+.fa-xmark-square::before {
+  content: "\f2d3"; }
+
+.fa-hashtag::before {
+  content: "\23"; }
+
+.fa-up-right-and-down-left-from-center::before {
+  content: "\f424"; }
+
+.fa-expand-alt::before {
+  content: "\f424"; }
+
+.fa-oil-can::before {
+  content: "\f613"; }
+
+.fa-t::before {
+  content: "\54"; }
+
+.fa-hippo::before {
+  content: "\f6ed"; }
+
+.fa-chart-column::before {
+  content: "\e0e3"; }
+
+.fa-infinity::before {
+  content: "\f534"; }
+
+.fa-vial-circle-check::before {
+  content: "\e596"; }
+
+.fa-person-arrow-down-to-line::before {
+  content: "\e538"; }
+
+.fa-voicemail::before {
+  content: "\f897"; }
+
+.fa-fan::before {
+  content: "\f863"; }
+
+.fa-person-walking-luggage::before {
+  content: "\e554"; }
+
+.fa-up-down::before {
+  content: "\f338"; }
+
+.fa-arrows-alt-v::before {
+  content: "\f338"; }
+
+.fa-cloud-moon-rain::before {
+  content: "\f73c"; }
+
+.fa-calendar::before {
+  content: "\f133"; }
+
+.fa-trailer::before {
+  content: "\e041"; }
+
+.fa-bahai::before {
+  content: "\f666"; }
+
+.fa-haykal::before {
+  content: "\f666"; }
+
+.fa-sd-card::before {
+  content: "\f7c2"; }
+
+.fa-dragon::before {
+  content: "\f6d5"; }
+
+.fa-shoe-prints::before {
+  content: "\f54b"; }
+
+.fa-circle-plus::before {
+  content: "\f055"; }
+
+.fa-plus-circle::before {
+  content: "\f055"; }
+
+.fa-face-grin-tongue-wink::before {
+  content: "\f58b"; }
+
+.fa-grin-tongue-wink::before {
+  content: "\f58b"; }
+
+.fa-hand-holding::before {
+  content: "\f4bd"; }
+
+.fa-plug-circle-exclamation::before {
+  content: "\e55d"; }
+
+.fa-link-slash::before {
+  content: "\f127"; }
+
+.fa-chain-broken::before {
+  content: "\f127"; }
+
+.fa-chain-slash::before {
+  content: "\f127"; }
+
+.fa-unlink::before {
+  content: "\f127"; }
+
+.fa-clone::before {
+  content: "\f24d"; }
+
+.fa-person-walking-arrow-loop-left::before {
+  content: "\e551"; }
+
+.fa-arrow-up-z-a::before {
+  content: "\f882"; }
+
+.fa-sort-alpha-up-alt::before {
+  content: "\f882"; }
+
+.fa-fire-flame-curved::before {
+  content: "\f7e4"; }
+
+.fa-fire-alt::before {
+  content: "\f7e4"; }
+
+.fa-tornado::before {
+  content: "\f76f"; }
+
+.fa-file-circle-plus::before {
+  content: "\e494"; }
+
+.fa-book-quran::before {
+  content: "\f687"; }
+
+.fa-quran::before {
+  content: "\f687"; }
+
+.fa-anchor::before {
+  content: "\f13d"; }
+
+.fa-border-all::before {
+  content: "\f84c"; }
+
+.fa-face-angry::before {
+  content: "\f556"; }
+
+.fa-angry::before {
+  content: "\f556"; }
+
+.fa-cookie-bite::before {
+  content: "\f564"; }
+
+.fa-arrow-trend-down::before {
+  content: "\e097"; }
+
+.fa-rss::before {
+  content: "\f09e"; }
+
+.fa-feed::before {
+  content: "\f09e"; }
+
+.fa-draw-polygon::before {
+  content: "\f5ee"; }
+
+.fa-scale-balanced::before {
+  content: "\f24e"; }
+
+.fa-balance-scale::before {
+  content: "\f24e"; }
+
+.fa-gauge-simple-high::before {
+  content: "\f62a"; }
+
+.fa-tachometer::before {
+  content: "\f62a"; }
+
+.fa-tachometer-fast::before {
+  content: "\f62a"; }
+
+.fa-shower::before {
+  content: "\f2cc"; }
+
+.fa-desktop::before {
+  content: "\f390"; }
+
+.fa-desktop-alt::before {
+  content: "\f390"; }
+
+.fa-m::before {
+  content: "\4d"; }
+
+.fa-table-list::before {
+  content: "\f00b"; }
+
+.fa-th-list::before {
+  content: "\f00b"; }
+
+.fa-comment-sms::before {
+  content: "\f7cd"; }
+
+.fa-sms::before {
+  content: "\f7cd"; }
+
+.fa-book::before {
+  content: "\f02d"; }
+
+.fa-user-plus::before {
+  content: "\f234"; }
+
+.fa-check::before {
+  content: "\f00c"; }
+
+.fa-battery-three-quarters::before {
+  content: "\f241"; }
+
+.fa-battery-4::before {
+  content: "\f241"; }
+
+.fa-house-circle-check::before {
+  content: "\e509"; }
+
+.fa-angle-left::before {
+  content: "\f104"; }
+
+.fa-diagram-successor::before {
+  content: "\e47a"; }
+
+.fa-truck-arrow-right::before {
+  content: "\e58b"; }
+
+.fa-arrows-split-up-and-left::before {
+  content: "\e4bc"; }
+
+.fa-hand-fist::before {
+  content: "\f6de"; }
+
+.fa-fist-raised::before {
+  content: "\f6de"; }
+
+.fa-cloud-moon::before {
+  content: "\f6c3"; }
+
+.fa-briefcase::before {
+  content: "\f0b1"; }
+
+.fa-person-falling::before {
+  content: "\e546"; }
+
+.fa-image-portrait::before {
+  content: "\f3e0"; }
+
+.fa-portrait::before {
+  content: "\f3e0"; }
+
+.fa-user-tag::before {
+  content: "\f507"; }
+
+.fa-rug::before {
+  content: "\e569"; }
+
+.fa-earth-europe::before {
+  content: "\f7a2"; }
+
+.fa-globe-europe::before {
+  content: "\f7a2"; }
+
+.fa-cart-flatbed-suitcase::before {
+  content: "\f59d"; }
+
+.fa-luggage-cart::before {
+  content: "\f59d"; }
+
+.fa-rectangle-xmark::before {
+  content: "\f410"; }
+
+.fa-rectangle-times::before {
+  content: "\f410"; }
+
+.fa-times-rectangle::before {
+  content: "\f410"; }
+
+.fa-window-close::before {
+  content: "\f410"; }
+
+.fa-baht-sign::before {
+  content: "\e0ac"; }
+
+.fa-book-open::before {
+  content: "\f518"; }
+
+.fa-book-journal-whills::before {
+  content: "\f66a"; }
+
+.fa-journal-whills::before {
+  content: "\f66a"; }
+
+.fa-handcuffs::before {
+  content: "\e4f8"; }
+
+.fa-triangle-exclamation::before {
+  content: "\f071"; }
+
+.fa-exclamation-triangle::before {
+  content: "\f071"; }
+
+.fa-warning::before {
+  content: "\f071"; }
+
+.fa-database::before {
+  content: "\f1c0"; }
+
+.fa-share::before {
+  content: "\f064"; }
+
+.fa-arrow-turn-right::before {
+  content: "\f064"; }
+
+.fa-mail-forward::before {
+  content: "\f064"; }
+
+.fa-bottle-droplet::before {
+  content: "\e4c4"; }
+
+.fa-mask-face::before {
+  content: "\e1d7"; }
+
+.fa-hill-rockslide::before {
+  content: "\e508"; }
+
+.fa-right-left::before {
+  content: "\f362"; }
+
+.fa-exchange-alt::before {
+  content: "\f362"; }
+
+.fa-paper-plane::before {
+  content: "\f1d8"; }
+
+.fa-road-circle-exclamation::before {
+  content: "\e565"; }
+
+.fa-dungeon::before {
+  content: "\f6d9"; }
+
+.fa-align-right::before {
+  content: "\f038"; }
+
+.fa-money-bill-1-wave::before {
+  content: "\f53b"; }
+
+.fa-money-bill-wave-alt::before {
+  content: "\f53b"; }
+
+.fa-life-ring::before {
+  content: "\f1cd"; }
+
+.fa-hands::before {
+  content: "\f2a7"; }
+
+.fa-sign-language::before {
+  content: "\f2a7"; }
+
+.fa-signing::before {
+  content: "\f2a7"; }
+
+.fa-calendar-day::before {
+  content: "\f783"; }
+
+.fa-water-ladder::before {
+  content: "\f5c5"; }
+
+.fa-ladder-water::before {
+  content: "\f5c5"; }
+
+.fa-swimming-pool::before {
+  content: "\f5c5"; }
+
+.fa-arrows-up-down::before {
+  content: "\f07d"; }
+
+.fa-arrows-v::before {
+  content: "\f07d"; }
+
+.fa-face-grimace::before {
+  content: "\f57f"; }
+
+.fa-grimace::before {
+  content: "\f57f"; }
+
+.fa-wheelchair-move::before {
+  content: "\e2ce"; }
+
+.fa-wheelchair-alt::before {
+  content: "\e2ce"; }
+
+.fa-turn-down::before {
+  content: "\f3be"; }
+
+.fa-level-down-alt::before {
+  content: "\f3be"; }
+
+.fa-person-walking-arrow-right::before {
+  content: "\e552"; }
+
+.fa-square-envelope::before {
+  content: "\f199"; }
+
+.fa-envelope-square::before {
+  content: "\f199"; }
+
+.fa-dice::before {
+  content: "\f522"; }
+
+.fa-bowling-ball::before {
+  content: "\f436"; }
+
+.fa-brain::before {
+  content: "\f5dc"; }
+
+.fa-bandage::before {
+  content: "\f462"; }
+
+.fa-band-aid::before {
+  content: "\f462"; }
+
+.fa-calendar-minus::before {
+  content: "\f272"; }
+
+.fa-circle-xmark::before {
+  content: "\f057"; }
+
+.fa-times-circle::before {
+  content: "\f057"; }
+
+.fa-xmark-circle::before {
+  content: "\f057"; }
+
+.fa-gifts::before {
+  content: "\f79c"; }
+
+.fa-hotel::before {
+  content: "\f594"; }
+
+.fa-earth-asia::before {
+  content: "\f57e"; }
+
+.fa-globe-asia::before {
+  content: "\f57e"; }
+
+.fa-id-card-clip::before {
+  content: "\f47f"; }
+
+.fa-id-card-alt::before {
+  content: "\f47f"; }
+
+.fa-magnifying-glass-plus::before {
+  content: "\f00e"; }
+
+.fa-search-plus::before {
+  content: "\f00e"; }
+
+.fa-thumbs-up::before {
+  content: "\f164"; }
+
+.fa-user-clock::before {
+  content: "\f4fd"; }
+
+.fa-hand-dots::before {
+  content: "\f461"; }
+
+.fa-allergies::before {
+  content: "\f461"; }
+
+.fa-file-invoice::before {
+  content: "\f570"; }
+
+.fa-window-minimize::before {
+  content: "\f2d1"; }
+
+.fa-mug-saucer::before {
+  content: "\f0f4"; }
+
+.fa-coffee::before {
+  content: "\f0f4"; }
+
+.fa-brush::before {
+  content: "\f55d"; }
+
+.fa-mask::before {
+  content: "\f6fa"; }
+
+.fa-magnifying-glass-minus::before {
+  content: "\f010"; }
+
+.fa-search-minus::before {
+  content: "\f010"; }
+
+.fa-ruler-vertical::before {
+  content: "\f548"; }
+
+.fa-user-large::before {
+  content: "\f406"; }
+
+.fa-user-alt::before {
+  content: "\f406"; }
+
+.fa-train-tram::before {
+  content: "\e5b4"; }
+
+.fa-user-nurse::before {
+  content: "\f82f"; }
+
+.fa-syringe::before {
+  content: "\f48e"; }
+
+.fa-cloud-sun::before {
+  content: "\f6c4"; }
+
+.fa-stopwatch-20::before {
+  content: "\e06f"; }
+
+.fa-square-full::before {
+  content: "\f45c"; }
+
+.fa-magnet::before {
+  content: "\f076"; }
+
+.fa-jar::before {
+  content: "\e516"; }
+
+.fa-note-sticky::before {
+  content: "\f249"; }
+
+.fa-sticky-note::before {
+  content: "\f249"; }
+
+.fa-bug-slash::before {
+  content: "\e490"; }
+
+.fa-arrow-up-from-water-pump::before {
+  content: "\e4b6"; }
+
+.fa-bone::before {
+  content: "\f5d7"; }
+
+.fa-user-injured::before {
+  content: "\f728"; }
+
+.fa-face-sad-tear::before {
+  content: "\f5b4"; }
+
+.fa-sad-tear::before {
+  content: "\f5b4"; }
+
+.fa-plane::before {
+  content: "\f072"; }
+
+.fa-tent-arrows-down::before {
+  content: "\e581"; }
+
+.fa-exclamation::before {
+  content: "\21"; }
+
+.fa-arrows-spin::before {
+  content: "\e4bb"; }
+
+.fa-print::before {
+  content: "\f02f"; }
+
+.fa-turkish-lira-sign::before {
+  content: "\e2bb"; }
+
+.fa-try::before {
+  content: "\e2bb"; }
+
+.fa-turkish-lira::before {
+  content: "\e2bb"; }
+
+.fa-dollar-sign::before {
+  content: "\24"; }
+
+.fa-dollar::before {
+  content: "\24"; }
+
+.fa-usd::before {
+  content: "\24"; }
+
+.fa-x::before {
+  content: "\58"; }
+
+.fa-magnifying-glass-dollar::before {
+  content: "\f688"; }
+
+.fa-search-dollar::before {
+  content: "\f688"; }
+
+.fa-users-gear::before {
+  content: "\f509"; }
+
+.fa-users-cog::before {
+  content: "\f509"; }
+
+.fa-person-military-pointing::before {
+  content: "\e54a"; }
+
+.fa-building-columns::before {
+  content: "\f19c"; }
+
+.fa-bank::before {
+  content: "\f19c"; }
+
+.fa-institution::before {
+  content: "\f19c"; }
+
+.fa-museum::before {
+  content: "\f19c"; }
+
+.fa-university::before {
+  content: "\f19c"; }
+
+.fa-umbrella::before {
+  content: "\f0e9"; }
+
+.fa-trowel::before {
+  content: "\e589"; }
+
+.fa-d::before {
+  content: "\44"; }
+
+.fa-stapler::before {
+  content: "\e5af"; }
+
+.fa-masks-theater::before {
+  content: "\f630"; }
+
+.fa-theater-masks::before {
+  content: "\f630"; }
+
+.fa-kip-sign::before {
+  content: "\e1c4"; }
+
+.fa-hand-point-left::before {
+  content: "\f0a5"; }
+
+.fa-handshake-simple::before {
+  content: "\f4c6"; }
+
+.fa-handshake-alt::before {
+  content: "\f4c6"; }
+
+.fa-jet-fighter::before {
+  content: "\f0fb"; }
+
+.fa-fighter-jet::before {
+  content: "\f0fb"; }
+
+.fa-square-share-nodes::before {
+  content: "\f1e1"; }
+
+.fa-share-alt-square::before {
+  content: "\f1e1"; }
+
+.fa-barcode::before {
+  content: "\f02a"; }
+
+.fa-plus-minus::before {
+  content: "\e43c"; }
+
+.fa-video::before {
+  content: "\f03d"; }
+
+.fa-video-camera::before {
+  content: "\f03d"; }
+
+.fa-graduation-cap::before {
+  content: "\f19d"; }
+
+.fa-mortar-board::before {
+  content: "\f19d"; }
+
+.fa-hand-holding-medical::before {
+  content: "\e05c"; }
+
+.fa-person-circle-check::before {
+  content: "\e53e"; }
+
+.fa-turn-up::before {
+  content: "\f3bf"; }
+
+.fa-level-up-alt::before {
+  content: "\f3bf"; }
+
+.sr-only,
+.fa-sr-only {
+  position: absolute;
+  width: 1px;
+  height: 1px;
+  padding: 0;
+  margin: -1px;
+  overflow: hidden;
+  clip: rect(0, 0, 0, 0);
+  white-space: nowrap;
+  border-width: 0; }
+
+.sr-only-focusable:not(:focus),
+.fa-sr-only-focusable:not(:focus) {
+  position: absolute;
+  width: 1px;
+  height: 1px;
+  padding: 0;
+  margin: -1px;
+  overflow: hidden;
+  clip: rect(0, 0, 0, 0);
+  white-space: nowrap;
+  border-width: 0; }
+:root, :host {
+  --fa-style-family-brands: 'Font Awesome 6 Brands';
+  --fa-font-brands: normal 400 1em/1 'Font Awesome 6 Brands'; }
+
+@font-face {
+  font-family: 'Font Awesome 6 Brands';
+  font-style: normal;
+  font-weight: 400;
+  font-display: block;
+  src: url("../webfonts/fa-brands-400.woff2") format("woff2"), url("../webfonts/fa-brands-400.ttf") format("truetype"); }
+
+.fab,
+.fa-brands {
+  font-weight: 400; }
+
+.fa-monero:before {
+  content: "\f3d0"; }
+
+.fa-hooli:before {
+  content: "\f427"; }
+
+.fa-yelp:before {
+  content: "\f1e9"; }
+
+.fa-cc-visa:before {
+  content: "\f1f0"; }
+
+.fa-lastfm:before {
+  content: "\f202"; }
+
+.fa-shopware:before {
+  content: "\f5b5"; }
+
+.fa-creative-commons-nc:before {
+  content: "\f4e8"; }
+
+.fa-aws:before {
+  content: "\f375"; }
+
+.fa-redhat:before {
+  content: "\f7bc"; }
+
+.fa-yoast:before {
+  content: "\f2b1"; }
+
+.fa-cloudflare:before {
+  content: "\e07d"; }
+
+.fa-ups:before {
+  content: "\f7e0"; }
+
+.fa-wpexplorer:before {
+  content: "\f2de"; }
+
+.fa-dyalog:before {
+  content: "\f399"; }
+
+.fa-bity:before {
+  content: "\f37a"; }
+
+.fa-stackpath:before {
+  content: "\f842"; }
+
+.fa-buysellads:before {
+  content: "\f20d"; }
+
+.fa-first-order:before {
+  content: "\f2b0"; }
+
+.fa-modx:before {
+  content: "\f285"; }
+
+.fa-guilded:before {
+  content: "\e07e"; }
+
+.fa-vnv:before {
+  content: "\f40b"; }
+
+.fa-square-js:before {
+  content: "\f3b9"; }
+
+.fa-js-square:before {
+  content: "\f3b9"; }
+
+.fa-microsoft:before {
+  content: "\f3ca"; }
+
+.fa-qq:before {
+  content: "\f1d6"; }
+
+.fa-orcid:before {
+  content: "\f8d2"; }
+
+.fa-java:before {
+  content: "\f4e4"; }
+
+.fa-invision:before {
+  content: "\f7b0"; }
+
+.fa-creative-commons-pd-alt:before {
+  content: "\f4ed"; }
+
+.fa-centercode:before {
+  content: "\f380"; }
+
+.fa-glide-g:before {
+  content: "\f2a6"; }
+
+.fa-drupal:before {
+  content: "\f1a9"; }
+
+.fa-hire-a-helper:before {
+  content: "\f3b0"; }
+
+.fa-creative-commons-by:before {
+  content: "\f4e7"; }
+
+.fa-unity:before {
+  content: "\e049"; }
+
+.fa-whmcs:before {
+  content: "\f40d"; }
+
+.fa-rocketchat:before {
+  content: "\f3e8"; }
+
+.fa-vk:before {
+  content: "\f189"; }
+
+.fa-untappd:before {
+  content: "\f405"; }
+
+.fa-mailchimp:before {
+  content: "\f59e"; }
+
+.fa-css3-alt:before {
+  content: "\f38b"; }
+
+.fa-square-reddit:before {
+  content: "\f1a2"; }
+
+.fa-reddit-square:before {
+  content: "\f1a2"; }
+
+.fa-vimeo-v:before {
+  content: "\f27d"; }
+
+.fa-contao:before {
+  content: "\f26d"; }
+
+.fa-square-font-awesome:before {
+  content: "\e5ad"; }
+
+.fa-deskpro:before {
+  content: "\f38f"; }
+
+.fa-sistrix:before {
+  content: "\f3ee"; }
+
+.fa-square-instagram:before {
+  content: "\e055"; }
+
+.fa-instagram-square:before {
+  content: "\e055"; }
+
+.fa-battle-net:before {
+  content: "\f835"; }
+
+.fa-the-red-yeti:before {
+  content: "\f69d"; }
+
+.fa-square-hacker-news:before {
+  content: "\f3af"; }
+
+.fa-hacker-news-square:before {
+  content: "\f3af"; }
+
+.fa-edge:before {
+  content: "\f282"; }
+
+.fa-threads:before {
+  content: "\e618"; }
+
+.fa-napster:before {
+  content: "\f3d2"; }
+
+.fa-square-snapchat:before {
+  content: "\f2ad"; }
+
+.fa-snapchat-square:before {
+  content: "\f2ad"; }
+
+.fa-google-plus-g:before {
+  content: "\f0d5"; }
+
+.fa-artstation:before {
+  content: "\f77a"; }
+
+.fa-markdown:before {
+  content: "\f60f"; }
+
+.fa-sourcetree:before {
+  content: "\f7d3"; }
+
+.fa-google-plus:before {
+  content: "\f2b3"; }
+
+.fa-diaspora:before {
+  content: "\f791"; }
+
+.fa-foursquare:before {
+  content: "\f180"; }
+
+.fa-stack-overflow:before {
+  content: "\f16c"; }
+
+.fa-github-alt:before {
+  content: "\f113"; }
+
+.fa-phoenix-squadron:before {
+  content: "\f511"; }
+
+.fa-pagelines:before {
+  content: "\f18c"; }
+
+.fa-algolia:before {
+  content: "\f36c"; }
+
+.fa-red-river:before {
+  content: "\f3e3"; }
+
+.fa-creative-commons-sa:before {
+  content: "\f4ef"; }
+
+.fa-safari:before {
+  content: "\f267"; }
+
+.fa-google:before {
+  content: "\f1a0"; }
+
+.fa-square-font-awesome-stroke:before {
+  content: "\f35c"; }
+
+.fa-font-awesome-alt:before {
+  content: "\f35c"; }
+
+.fa-atlassian:before {
+  content: "\f77b"; }
+
+.fa-linkedin-in:before {
+  content: "\f0e1"; }
+
+.fa-digital-ocean:before {
+  content: "\f391"; }
+
+.fa-nimblr:before {
+  content: "\f5a8"; }
+
+.fa-chromecast:before {
+  content: "\f838"; }
+
+.fa-evernote:before {
+  content: "\f839"; }
+
+.fa-hacker-news:before {
+  content: "\f1d4"; }
+
+.fa-creative-commons-sampling:before {
+  content: "\f4f0"; }
+
+.fa-adversal:before {
+  content: "\f36a"; }
+
+.fa-creative-commons:before {
+  content: "\f25e"; }
+
+.fa-watchman-monitoring:before {
+  content: "\e087"; }
+
+.fa-fonticons:before {
+  content: "\f280"; }
+
+.fa-weixin:before {
+  content: "\f1d7"; }
+
+.fa-shirtsinbulk:before {
+  content: "\f214"; }
+
+.fa-codepen:before {
+  content: "\f1cb"; }
+
+.fa-git-alt:before {
+  content: "\f841"; }
+
+.fa-lyft:before {
+  content: "\f3c3"; }
+
+.fa-rev:before {
+  content: "\f5b2"; }
+
+.fa-windows:before {
+  content: "\f17a"; }
+
+.fa-wizards-of-the-coast:before {
+  content: "\f730"; }
+
+.fa-square-viadeo:before {
+  content: "\f2aa"; }
+
+.fa-viadeo-square:before {
+  content: "\f2aa"; }
+
+.fa-meetup:before {
+  content: "\f2e0"; }
+
+.fa-centos:before {
+  content: "\f789"; }
+
+.fa-adn:before {
+  content: "\f170"; }
+
+.fa-cloudsmith:before {
+  content: "\f384"; }
+
+.fa-pied-piper-alt:before {
+  content: "\f1a8"; }
+
+.fa-square-dribbble:before {
+  content: "\f397"; }
+
+.fa-dribbble-square:before {
+  content: "\f397"; }
+
+.fa-codiepie:before {
+  content: "\f284"; }
+
+.fa-node:before {
+  content: "\f419"; }
+
+.fa-mix:before {
+  content: "\f3cb"; }
+
+.fa-steam:before {
+  content: "\f1b6"; }
+
+.fa-cc-apple-pay:before {
+  content: "\f416"; }
+
+.fa-scribd:before {
+  content: "\f28a"; }
+
+.fa-debian:before {
+  content: "\e60b"; }
+
+.fa-openid:before {
+  content: "\f19b"; }
+
+.fa-instalod:before {
+  content: "\e081"; }
+
+.fa-expeditedssl:before {
+  content: "\f23e"; }
+
+.fa-sellcast:before {
+  content: "\f2da"; }
+
+.fa-square-twitter:before {
+  content: "\f081"; }
+
+.fa-twitter-square:before {
+  content: "\f081"; }
+
+.fa-r-project:before {
+  content: "\f4f7"; }
+
+.fa-delicious:before {
+  content: "\f1a5"; }
+
+.fa-freebsd:before {
+  content: "\f3a4"; }
+
+.fa-vuejs:before {
+  content: "\f41f"; }
+
+.fa-accusoft:before {
+  content: "\f369"; }
+
+.fa-ioxhost:before {
+  content: "\f208"; }
+
+.fa-fonticons-fi:before {
+  content: "\f3a2"; }
+
+.fa-app-store:before {
+  content: "\f36f"; }
+
+.fa-cc-mastercard:before {
+  content: "\f1f1"; }
+
+.fa-itunes-note:before {
+  content: "\f3b5"; }
+
+.fa-golang:before {
+  content: "\e40f"; }
+
+.fa-kickstarter:before {
+  content: "\f3bb"; }
+
+.fa-grav:before {
+  content: "\f2d6"; }
+
+.fa-weibo:before {
+  content: "\f18a"; }
+
+.fa-uncharted:before {
+  content: "\e084"; }
+
+.fa-firstdraft:before {
+  content: "\f3a1"; }
+
+.fa-square-youtube:before {
+  content: "\f431"; }
+
+.fa-youtube-square:before {
+  content: "\f431"; }
+
+.fa-wikipedia-w:before {
+  content: "\f266"; }
+
+.fa-wpressr:before {
+  content: "\f3e4"; }
+
+.fa-rendact:before {
+  content: "\f3e4"; }
+
+.fa-angellist:before {
+  content: "\f209"; }
+
+.fa-galactic-republic:before {
+  content: "\f50c"; }
+
+.fa-nfc-directional:before {
+  content: "\e530"; }
+
+.fa-skype:before {
+  content: "\f17e"; }
+
+.fa-joget:before {
+  content: "\f3b7"; }
+
+.fa-fedora:before {
+  content: "\f798"; }
+
+.fa-stripe-s:before {
+  content: "\f42a"; }
+
+.fa-meta:before {
+  content: "\e49b"; }
+
+.fa-laravel:before {
+  content: "\f3bd"; }
+
+.fa-hotjar:before {
+  content: "\f3b1"; }
+
+.fa-bluetooth-b:before {
+  content: "\f294"; }
+
+.fa-sticker-mule:before {
+  content: "\f3f7"; }
+
+.fa-creative-commons-zero:before {
+  content: "\f4f3"; }
+
+.fa-hips:before {
+  content: "\f452"; }
+
+.fa-behance:before {
+  content: "\f1b4"; }
+
+.fa-reddit:before {
+  content: "\f1a1"; }
+
+.fa-discord:before {
+  content: "\f392"; }
+
+.fa-chrome:before {
+  content: "\f268"; }
+
+.fa-app-store-ios:before {
+  content: "\f370"; }
+
+.fa-cc-discover:before {
+  content: "\f1f2"; }
+
+.fa-wpbeginner:before {
+  content: "\f297"; }
+
+.fa-confluence:before {
+  content: "\f78d"; }
+
+.fa-mdb:before {
+  content: "\f8ca"; }
+
+.fa-dochub:before {
+  content: "\f394"; }
+
+.fa-accessible-icon:before {
+  content: "\f368"; }
+
+.fa-ebay:before {
+  content: "\f4f4"; }
+
+.fa-amazon:before {
+  content: "\f270"; }
+
+.fa-unsplash:before {
+  content: "\e07c"; }
+
+.fa-yarn:before {
+  content: "\f7e3"; }
+
+.fa-square-steam:before {
+  content: "\f1b7"; }
+
+.fa-steam-square:before {
+  content: "\f1b7"; }
+
+.fa-500px:before {
+  content: "\f26e"; }
+
+.fa-square-vimeo:before {
+  content: "\f194"; }
+
+.fa-vimeo-square:before {
+  content: "\f194"; }
+
+.fa-asymmetrik:before {
+  content: "\f372"; }
+
+.fa-font-awesome:before {
+  content: "\f2b4"; }
+
+.fa-font-awesome-flag:before {
+  content: "\f2b4"; }
+
+.fa-font-awesome-logo-full:before {
+  content: "\f2b4"; }
+
+.fa-gratipay:before {
+  content: "\f184"; }
+
+.fa-apple:before {
+  content: "\f179"; }
+
+.fa-hive:before {
+  content: "\e07f"; }
+
+.fa-gitkraken:before {
+  content: "\f3a6"; }
+
+.fa-keybase:before {
+  content: "\f4f5"; }
+
+.fa-apple-pay:before {
+  content: "\f415"; }
+
+.fa-padlet:before {
+  content: "\e4a0"; }
+
+.fa-amazon-pay:before {
+  content: "\f42c"; }
+
+.fa-square-github:before {
+  content: "\f092"; }
+
+.fa-github-square:before {
+  content: "\f092"; }
+
+.fa-stumbleupon:before {
+  content: "\f1a4"; }
+
+.fa-fedex:before {
+  content: "\f797"; }
+
+.fa-phoenix-framework:before {
+  content: "\f3dc"; }
+
+.fa-shopify:before {
+  content: "\e057"; }
+
+.fa-neos:before {
+  content: "\f612"; }
+
+.fa-square-threads:before {
+  content: "\e619"; }
+
+.fa-hackerrank:before {
+  content: "\f5f7"; }
+
+.fa-researchgate:before {
+  content: "\f4f8"; }
+
+.fa-swift:before {
+  content: "\f8e1"; }
+
+.fa-angular:before {
+  content: "\f420"; }
+
+.fa-speakap:before {
+  content: "\f3f3"; }
+
+.fa-angrycreative:before {
+  content: "\f36e"; }
+
+.fa-y-combinator:before {
+  content: "\f23b"; }
+
+.fa-empire:before {
+  content: "\f1d1"; }
+
+.fa-envira:before {
+  content: "\f299"; }
+
+.fa-square-gitlab:before {
+  content: "\e5ae"; }
+
+.fa-gitlab-square:before {
+  content: "\e5ae"; }
+
+.fa-studiovinari:before {
+  content: "\f3f8"; }
+
+.fa-pied-piper:before {
+  content: "\f2ae"; }
+
+.fa-wordpress:before {
+  content: "\f19a"; }
+
+.fa-product-hunt:before {
+  content: "\f288"; }
+
+.fa-firefox:before {
+  content: "\f269"; }
+
+.fa-linode:before {
+  content: "\f2b8"; }
+
+.fa-goodreads:before {
+  content: "\f3a8"; }
+
+.fa-square-odnoklassniki:before {
+  content: "\f264"; }
+
+.fa-odnoklassniki-square:before {
+  content: "\f264"; }
+
+.fa-jsfiddle:before {
+  content: "\f1cc"; }
+
+.fa-sith:before {
+  content: "\f512"; }
+
+.fa-themeisle:before {
+  content: "\f2b2"; }
+
+.fa-page4:before {
+  content: "\f3d7"; }
+
+.fa-hashnode:before {
+  content: "\e499"; }
+
+.fa-react:before {
+  content: "\f41b"; }
+
+.fa-cc-paypal:before {
+  content: "\f1f4"; }
+
+.fa-squarespace:before {
+  content: "\f5be"; }
+
+.fa-cc-stripe:before {
+  content: "\f1f5"; }
+
+.fa-creative-commons-share:before {
+  content: "\f4f2"; }
+
+.fa-bitcoin:before {
+  content: "\f379"; }
+
+.fa-keycdn:before {
+  content: "\f3ba"; }
+
+.fa-opera:before {
+  content: "\f26a"; }
+
+.fa-itch-io:before {
+  content: "\f83a"; }
+
+.fa-umbraco:before {
+  content: "\f8e8"; }
+
+.fa-galactic-senate:before {
+  content: "\f50d"; }
+
+.fa-ubuntu:before {
+  content: "\f7df"; }
+
+.fa-draft2digital:before {
+  content: "\f396"; }
+
+.fa-stripe:before {
+  content: "\f429"; }
+
+.fa-houzz:before {
+  content: "\f27c"; }
+
+.fa-gg:before {
+  content: "\f260"; }
+
+.fa-dhl:before {
+  content: "\f790"; }
+
+.fa-square-pinterest:before {
+  content: "\f0d3"; }
+
+.fa-pinterest-square:before {
+  content: "\f0d3"; }
+
+.fa-xing:before {
+  content: "\f168"; }
+
+.fa-blackberry:before {
+  content: "\f37b"; }
+
+.fa-creative-commons-pd:before {
+  content: "\f4ec"; }
+
+.fa-playstation:before {
+  content: "\f3df"; }
+
+.fa-quinscape:before {
+  content: "\f459"; }
+
+.fa-less:before {
+  content: "\f41d"; }
+
+.fa-blogger-b:before {
+  content: "\f37d"; }
+
+.fa-opencart:before {
+  content: "\f23d"; }
+
+.fa-vine:before {
+  content: "\f1ca"; }
+
+.fa-paypal:before {
+  content: "\f1ed"; }
+
+.fa-gitlab:before {
+  content: "\f296"; }
+
+.fa-typo3:before {
+  content: "\f42b"; }
+
+.fa-reddit-alien:before {
+  content: "\f281"; }
+
+.fa-yahoo:before {
+  content: "\f19e"; }
+
+.fa-dailymotion:before {
+  content: "\e052"; }
+
+.fa-affiliatetheme:before {
+  content: "\f36b"; }
+
+.fa-pied-piper-pp:before {
+  content: "\f1a7"; }
+
+.fa-bootstrap:before {
+  content: "\f836"; }
+
+.fa-odnoklassniki:before {
+  content: "\f263"; }
+
+.fa-nfc-symbol:before {
+  content: "\e531"; }
+
+.fa-ethereum:before {
+  content: "\f42e"; }
+
+.fa-speaker-deck:before {
+  content: "\f83c"; }
+
+.fa-creative-commons-nc-eu:before {
+  content: "\f4e9"; }
+
+.fa-patreon:before {
+  content: "\f3d9"; }
+
+.fa-avianex:before {
+  content: "\f374"; }
+
+.fa-ello:before {
+  content: "\f5f1"; }
+
+.fa-gofore:before {
+  content: "\f3a7"; }
+
+.fa-bimobject:before {
+  content: "\f378"; }
+
+.fa-facebook-f:before {
+  content: "\f39e"; }
+
+.fa-square-google-plus:before {
+  content: "\f0d4"; }
+
+.fa-google-plus-square:before {
+  content: "\f0d4"; }
+
+.fa-mandalorian:before {
+  content: "\f50f"; }
+
+.fa-first-order-alt:before {
+  content: "\f50a"; }
+
+.fa-osi:before {
+  content: "\f41a"; }
+
+.fa-google-wallet:before {
+  content: "\f1ee"; }
+
+.fa-d-and-d-beyond:before {
+  content: "\f6ca"; }
+
+.fa-periscope:before {
+  content: "\f3da"; }
+
+.fa-fulcrum:before {
+  content: "\f50b"; }
+
+.fa-cloudscale:before {
+  content: "\f383"; }
+
+.fa-forumbee:before {
+  content: "\f211"; }
+
+.fa-mizuni:before {
+  content: "\f3cc"; }
+
+.fa-schlix:before {
+  content: "\f3ea"; }
+
+.fa-square-xing:before {
+  content: "\f169"; }
+
+.fa-xing-square:before {
+  content: "\f169"; }
+
+.fa-bandcamp:before {
+  content: "\f2d5"; }
+
+.fa-wpforms:before {
+  content: "\f298"; }
+
+.fa-cloudversify:before {
+  content: "\f385"; }
+
+.fa-usps:before {
+  content: "\f7e1"; }
+
+.fa-megaport:before {
+  content: "\f5a3"; }
+
+.fa-magento:before {
+  content: "\f3c4"; }
+
+.fa-spotify:before {
+  content: "\f1bc"; }
+
+.fa-optin-monster:before {
+  content: "\f23c"; }
+
+.fa-fly:before {
+  content: "\f417"; }
+
+.fa-aviato:before {
+  content: "\f421"; }
+
+.fa-itunes:before {
+  content: "\f3b4"; }
+
+.fa-cuttlefish:before {
+  content: "\f38c"; }
+
+.fa-blogger:before {
+  content: "\f37c"; }
+
+.fa-flickr:before {
+  content: "\f16e"; }
+
+.fa-viber:before {
+  content: "\f409"; }
+
+.fa-soundcloud:before {
+  content: "\f1be"; }
+
+.fa-digg:before {
+  content: "\f1a6"; }
+
+.fa-tencent-weibo:before {
+  content: "\f1d5"; }
+
+.fa-symfony:before {
+  content: "\f83d"; }
+
+.fa-maxcdn:before {
+  content: "\f136"; }
+
+.fa-etsy:before {
+  content: "\f2d7"; }
+
+.fa-facebook-messenger:before {
+  content: "\f39f"; }
+
+.fa-audible:before {
+  content: "\f373"; }
+
+.fa-think-peaks:before {
+  content: "\f731"; }
+
+.fa-bilibili:before {
+  content: "\e3d9"; }
+
+.fa-erlang:before {
+  content: "\f39d"; }
+
+.fa-x-twitter:before {
+  content: "\e61b"; }
+
+.fa-cotton-bureau:before {
+  content: "\f89e"; }
+
+.fa-dashcube:before {
+  content: "\f210"; }
+
+.fa-42-group:before {
+  content: "\e080"; }
+
+.fa-innosoft:before {
+  content: "\e080"; }
+
+.fa-stack-exchange:before {
+  content: "\f18d"; }
+
+.fa-elementor:before {
+  content: "\f430"; }
+
+.fa-square-pied-piper:before {
+  content: "\e01e"; }
+
+.fa-pied-piper-square:before {
+  content: "\e01e"; }
+
+.fa-creative-commons-nd:before {
+  content: "\f4eb"; }
+
+.fa-palfed:before {
+  content: "\f3d8"; }
+
+.fa-superpowers:before {
+  content: "\f2dd"; }
+
+.fa-resolving:before {
+  content: "\f3e7"; }
+
+.fa-xbox:before {
+  content: "\f412"; }
+
+.fa-searchengin:before {
+  content: "\f3eb"; }
+
+.fa-tiktok:before {
+  content: "\e07b"; }
+
+.fa-square-facebook:before {
+  content: "\f082"; }
+
+.fa-facebook-square:before {
+  content: "\f082"; }
+
+.fa-renren:before {
+  content: "\f18b"; }
+
+.fa-linux:before {
+  content: "\f17c"; }
+
+.fa-glide:before {
+  content: "\f2a5"; }
+
+.fa-linkedin:before {
+  content: "\f08c"; }
+
+.fa-hubspot:before {
+  content: "\f3b2"; }
+
+.fa-deploydog:before {
+  content: "\f38e"; }
+
+.fa-twitch:before {
+  content: "\f1e8"; }
+
+.fa-ravelry:before {
+  content: "\f2d9"; }
+
+.fa-mixer:before {
+  content: "\e056"; }
+
+.fa-square-lastfm:before {
+  content: "\f203"; }
+
+.fa-lastfm-square:before {
+  content: "\f203"; }
+
+.fa-vimeo:before {
+  content: "\f40a"; }
+
+.fa-mendeley:before {
+  content: "\f7b3"; }
+
+.fa-uniregistry:before {
+  content: "\f404"; }
+
+.fa-figma:before {
+  content: "\f799"; }
+
+.fa-creative-commons-remix:before {
+  content: "\f4ee"; }
+
+.fa-cc-amazon-pay:before {
+  content: "\f42d"; }
+
+.fa-dropbox:before {
+  content: "\f16b"; }
+
+.fa-instagram:before {
+  content: "\f16d"; }
+
+.fa-cmplid:before {
+  content: "\e360"; }
+
+.fa-facebook:before {
+  content: "\f09a"; }
+
+.fa-gripfire:before {
+  content: "\f3ac"; }
+
+.fa-jedi-order:before {
+  content: "\f50e"; }
+
+.fa-uikit:before {
+  content: "\f403"; }
+
+.fa-fort-awesome-alt:before {
+  content: "\f3a3"; }
+
+.fa-phabricator:before {
+  content: "\f3db"; }
+
+.fa-ussunnah:before {
+  content: "\f407"; }
+
+.fa-earlybirds:before {
+  content: "\f39a"; }
+
+.fa-trade-federation:before {
+  content: "\f513"; }
+
+.fa-autoprefixer:before {
+  content: "\f41c"; }
+
+.fa-whatsapp:before {
+  content: "\f232"; }
+
+.fa-slideshare:before {
+  content: "\f1e7"; }
+
+.fa-google-play:before {
+  content: "\f3ab"; }
+
+.fa-viadeo:before {
+  content: "\f2a9"; }
+
+.fa-line:before {
+  content: "\f3c0"; }
+
+.fa-google-drive:before {
+  content: "\f3aa"; }
+
+.fa-servicestack:before {
+  content: "\f3ec"; }
+
+.fa-simplybuilt:before {
+  content: "\f215"; }
+
+.fa-bitbucket:before {
+  content: "\f171"; }
+
+.fa-imdb:before {
+  content: "\f2d8"; }
+
+.fa-deezer:before {
+  content: "\e077"; }
+
+.fa-raspberry-pi:before {
+  content: "\f7bb"; }
+
+.fa-jira:before {
+  content: "\f7b1"; }
+
+.fa-docker:before {
+  content: "\f395"; }
+
+.fa-screenpal:before {
+  content: "\e570"; }
+
+.fa-bluetooth:before {
+  content: "\f293"; }
+
+.fa-gitter:before {
+  content: "\f426"; }
+
+.fa-d-and-d:before {
+  content: "\f38d"; }
+
+.fa-microblog:before {
+  content: "\e01a"; }
+
+.fa-cc-diners-club:before {
+  content: "\f24c"; }
+
+.fa-gg-circle:before {
+  content: "\f261"; }
+
+.fa-pied-piper-hat:before {
+  content: "\f4e5"; }
+
+.fa-kickstarter-k:before {
+  content: "\f3bc"; }
+
+.fa-yandex:before {
+  content: "\f413"; }
+
+.fa-readme:before {
+  content: "\f4d5"; }
+
+.fa-html5:before {
+  content: "\f13b"; }
+
+.fa-sellsy:before {
+  content: "\f213"; }
+
+.fa-sass:before {
+  content: "\f41e"; }
+
+.fa-wirsindhandwerk:before {
+  content: "\e2d0"; }
+
+.fa-wsh:before {
+  content: "\e2d0"; }
+
+.fa-buromobelexperte:before {
+  content: "\f37f"; }
+
+.fa-salesforce:before {
+  content: "\f83b"; }
+
+.fa-octopus-deploy:before {
+  content: "\e082"; }
+
+.fa-medapps:before {
+  content: "\f3c6"; }
+
+.fa-ns8:before {
+  content: "\f3d5"; }
+
+.fa-pinterest-p:before {
+  content: "\f231"; }
+
+.fa-apper:before {
+  content: "\f371"; }
+
+.fa-fort-awesome:before {
+  content: "\f286"; }
+
+.fa-waze:before {
+  content: "\f83f"; }
+
+.fa-cc-jcb:before {
+  content: "\f24b"; }
+
+.fa-snapchat:before {
+  content: "\f2ab"; }
+
+.fa-snapchat-ghost:before {
+  content: "\f2ab"; }
+
+.fa-fantasy-flight-games:before {
+  content: "\f6dc"; }
+
+.fa-rust:before {
+  content: "\e07a"; }
+
+.fa-wix:before {
+  content: "\f5cf"; }
+
+.fa-square-behance:before {
+  content: "\f1b5"; }
+
+.fa-behance-square:before {
+  content: "\f1b5"; }
+
+.fa-supple:before {
+  content: "\f3f9"; }
+
+.fa-rebel:before {
+  content: "\f1d0"; }
+
+.fa-css3:before {
+  content: "\f13c"; }
+
+.fa-staylinked:before {
+  content: "\f3f5"; }
+
+.fa-kaggle:before {
+  content: "\f5fa"; }
+
+.fa-space-awesome:before {
+  content: "\e5ac"; }
+
+.fa-deviantart:before {
+  content: "\f1bd"; }
+
+.fa-cpanel:before {
+  content: "\f388"; }
+
+.fa-goodreads-g:before {
+  content: "\f3a9"; }
+
+.fa-square-git:before {
+  content: "\f1d2"; }
+
+.fa-git-square:before {
+  content: "\f1d2"; }
+
+.fa-square-tumblr:before {
+  content: "\f174"; }
+
+.fa-tumblr-square:before {
+  content: "\f174"; }
+
+.fa-trello:before {
+  content: "\f181"; }
+
+.fa-creative-commons-nc-jp:before {
+  content: "\f4ea"; }
+
+.fa-get-pocket:before {
+  content: "\f265"; }
+
+.fa-perbyte:before {
+  content: "\e083"; }
+
+.fa-grunt:before {
+  content: "\f3ad"; }
+
+.fa-weebly:before {
+  content: "\f5cc"; }
+
+.fa-connectdevelop:before {
+  content: "\f20e"; }
+
+.fa-leanpub:before {
+  content: "\f212"; }
+
+.fa-black-tie:before {
+  content: "\f27e"; }
+
+.fa-themeco:before {
+  content: "\f5c6"; }
+
+.fa-python:before {
+  content: "\f3e2"; }
+
+.fa-android:before {
+  content: "\f17b"; }
+
+.fa-bots:before {
+  content: "\e340"; }
+
+.fa-free-code-camp:before {
+  content: "\f2c5"; }
+
+.fa-hornbill:before {
+  content: "\f592"; }
+
+.fa-js:before {
+  content: "\f3b8"; }
+
+.fa-ideal:before {
+  content: "\e013"; }
+
+.fa-git:before {
+  content: "\f1d3"; }
+
+.fa-dev:before {
+  content: "\f6cc"; }
+
+.fa-sketch:before {
+  content: "\f7c6"; }
+
+.fa-yandex-international:before {
+  content: "\f414"; }
+
+.fa-cc-amex:before {
+  content: "\f1f3"; }
+
+.fa-uber:before {
+  content: "\f402"; }
+
+.fa-github:before {
+  content: "\f09b"; }
+
+.fa-php:before {
+  content: "\f457"; }
+
+.fa-alipay:before {
+  content: "\f642"; }
+
+.fa-youtube:before {
+  content: "\f167"; }
+
+.fa-skyatlas:before {
+  content: "\f216"; }
+
+.fa-firefox-browser:before {
+  content: "\e007"; }
+
+.fa-replyd:before {
+  content: "\f3e6"; }
+
+.fa-suse:before {
+  content: "\f7d6"; }
+
+.fa-jenkins:before {
+  content: "\f3b6"; }
+
+.fa-twitter:before {
+  content: "\f099"; }
+
+.fa-rockrms:before {
+  content: "\f3e9"; }
+
+.fa-pinterest:before {
+  content: "\f0d2"; }
+
+.fa-buffer:before {
+  content: "\f837"; }
+
+.fa-npm:before {
+  content: "\f3d4"; }
+
+.fa-yammer:before {
+  content: "\f840"; }
+
+.fa-btc:before {
+  content: "\f15a"; }
+
+.fa-dribbble:before {
+  content: "\f17d"; }
+
+.fa-stumbleupon-circle:before {
+  content: "\f1a3"; }
+
+.fa-internet-explorer:before {
+  content: "\f26b"; }
+
+.fa-stubber:before {
+  content: "\e5c7"; }
+
+.fa-telegram:before {
+  content: "\f2c6"; }
+
+.fa-telegram-plane:before {
+  content: "\f2c6"; }
+
+.fa-old-republic:before {
+  content: "\f510"; }
+
+.fa-odysee:before {
+  content: "\e5c6"; }
+
+.fa-square-whatsapp:before {
+  content: "\f40c"; }
+
+.fa-whatsapp-square:before {
+  content: "\f40c"; }
+
+.fa-node-js:before {
+  content: "\f3d3"; }
+
+.fa-edge-legacy:before {
+  content: "\e078"; }
+
+.fa-slack:before {
+  content: "\f198"; }
+
+.fa-slack-hash:before {
+  content: "\f198"; }
+
+.fa-medrt:before {
+  content: "\f3c8"; }
+
+.fa-usb:before {
+  content: "\f287"; }
+
+.fa-tumblr:before {
+  content: "\f173"; }
+
+.fa-vaadin:before {
+  content: "\f408"; }
+
+.fa-quora:before {
+  content: "\f2c4"; }
+
+.fa-square-x-twitter:before {
+  content: "\e61a"; }
+
+.fa-reacteurope:before {
+  content: "\f75d"; }
+
+.fa-medium:before {
+  content: "\f23a"; }
+
+.fa-medium-m:before {
+  content: "\f23a"; }
+
+.fa-amilia:before {
+  content: "\f36d"; }
+
+.fa-mixcloud:before {
+  content: "\f289"; }
+
+.fa-flipboard:before {
+  content: "\f44d"; }
+
+.fa-viacoin:before {
+  content: "\f237"; }
+
+.fa-critical-role:before {
+  content: "\f6c9"; }
+
+.fa-sitrox:before {
+  content: "\e44a"; }
+
+.fa-discourse:before {
+  content: "\f393"; }
+
+.fa-joomla:before {
+  content: "\f1aa"; }
+
+.fa-mastodon:before {
+  content: "\f4f6"; }
+
+.fa-airbnb:before {
+  content: "\f834"; }
+
+.fa-wolf-pack-battalion:before {
+  content: "\f514"; }
+
+.fa-buy-n-large:before {
+  content: "\f8a6"; }
+
+.fa-gulp:before {
+  content: "\f3ae"; }
+
+.fa-creative-commons-sampling-plus:before {
+  content: "\f4f1"; }
+
+.fa-strava:before {
+  content: "\f428"; }
+
+.fa-ember:before {
+  content: "\f423"; }
+
+.fa-canadian-maple-leaf:before {
+  content: "\f785"; }
+
+.fa-teamspeak:before {
+  content: "\f4f9"; }
+
+.fa-pushed:before {
+  content: "\f3e1"; }
+
+.fa-wordpress-simple:before {
+  content: "\f411"; }
+
+.fa-nutritionix:before {
+  content: "\f3d6"; }
+
+.fa-wodu:before {
+  content: "\e088"; }
+
+.fa-google-pay:before {
+  content: "\e079"; }
+
+.fa-intercom:before {
+  content: "\f7af"; }
+
+.fa-zhihu:before {
+  content: "\f63f"; }
+
+.fa-korvue:before {
+  content: "\f42f"; }
+
+.fa-pix:before {
+  content: "\e43a"; }
+
+.fa-steam-symbol:before {
+  content: "\f3f6"; }
+:root, :host {
+  --fa-style-family-classic: 'Font Awesome 6 Free';
+  --fa-font-regular: normal 400 1em/1 'Font Awesome 6 Free'; }
+
+@font-face {
+  font-family: 'Font Awesome 6 Free';
+  font-style: normal;
+  font-weight: 400;
+  font-display: block;
+  src: url("../webfonts/fa-regular-400.woff2") format("woff2"), url("../webfonts/fa-regular-400.ttf") format("truetype"); }
+
+.far,
+.fa-regular {
+  font-weight: 400; }
+:root, :host {
+  --fa-style-family-classic: 'Font Awesome 6 Free';
+  --fa-font-solid: normal 900 1em/1 'Font Awesome 6 Free'; }
+
+@font-face {
+  font-family: 'Font Awesome 6 Free';
+  font-style: normal;
+  font-weight: 900;
+  font-display: block;
+  src: url("../webfonts/fa-solid-900.woff2") format("woff2"), url("../webfonts/fa-solid-900.ttf") format("truetype"); }
+
+.fas,
+.fa-solid {
+  font-weight: 900; }
+@font-face {
+  font-family: 'Font Awesome 5 Brands';
+  font-display: block;
+  font-weight: 400;
+  src: url("../webfonts/fa-brands-400.woff2") format("woff2"), url("../webfonts/fa-brands-400.ttf") format("truetype"); }
+
+@font-face {
+  font-family: 'Font Awesome 5 Free';
+  font-display: block;
+  font-weight: 900;
+  src: url("../webfonts/fa-solid-900.woff2") format("woff2"), url("../webfonts/fa-solid-900.ttf") format("truetype"); }
+
+@font-face {
+  font-family: 'Font Awesome 5 Free';
+  font-display: block;
+  font-weight: 400;
+  src: url("../webfonts/fa-regular-400.woff2") format("woff2"), url("../webfonts/fa-regular-400.ttf") format("truetype"); }
+@font-face {
+  font-family: 'FontAwesome';
+  font-display: block;
+  src: url("../webfonts/fa-solid-900.woff2") format("woff2"), url("../webfonts/fa-solid-900.ttf") format("truetype"); }
+
+@font-face {
+  font-family: 'FontAwesome';
+  font-display: block;
+  src: url("../webfonts/fa-brands-400.woff2") format("woff2"), url("../webfonts/fa-brands-400.ttf") format("truetype"); }
+
+@font-face {
+  font-family: 'FontAwesome';
+  font-display: block;
+  src: url("../webfonts/fa-regular-400.woff2") format("woff2"), url("../webfonts/fa-regular-400.ttf") format("truetype"); }
+
+@font-face {
+  font-family: 'FontAwesome';
+  font-display: block;
+  src: url("../webfonts/fa-v4compatibility.woff2") format("woff2"), url("../webfonts/fa-v4compatibility.ttf") format("truetype"); }
diff --git a/deps/font-awesome-6.4.2/css/all.min.css b/deps/font-awesome-6.4.2/css/all.min.css
new file mode 100644
index 00000000..6604a067
--- /dev/null
+++ b/deps/font-awesome-6.4.2/css/all.min.css
@@ -0,0 +1,9 @@
+/*!
+ * Font Awesome Free 6.4.2 by @fontawesome - https://fontawesome.com
+ * License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License)
+ * Copyright 2023 Fonticons, Inc.
+ */
+.fa{font-family:var(--fa-style-family,"Font Awesome 6 Free");font-weight:var(--fa-style,900)}.fa,.fa-brands,.fa-classic,.fa-regular,.fa-sharp,.fa-solid,.fab,.far,.fas{-moz-osx-font-smoothing:grayscale;-webkit-font-smoothing:antialiased;display:var(--fa-display,inline-block);font-style:normal;font-variant:normal;line-height:1;text-rendering:auto}.fa-classic,.fa-regular,.fa-solid,.far,.fas{font-family:"Font Awesome 6 Free"}.fa-brands,.fab{font-family:"Font Awesome 6 Brands"}.fa-1x{font-size:1em}.fa-2x{font-size:2em}.fa-3x{font-size:3em}.fa-4x{font-size:4em}.fa-5x{font-size:5em}.fa-6x{font-size:6em}.fa-7x{font-size:7em}.fa-8x{font-size:8em}.fa-9x{font-size:9em}.fa-10x{font-size:10em}.fa-2xs{font-size:.625em;line-height:.1em;vertical-align:.225em}.fa-xs{font-size:.75em;line-height:.08333em;vertical-align:.125em}.fa-sm{font-size:.875em;line-height:.07143em;vertical-align:.05357em}.fa-lg{font-size:1.25em;line-height:.05em;vertical-align:-.075em}.fa-xl{font-size:1.5em;line-height:.04167em;vertical-align:-.125em}.fa-2xl{font-size:2em;line-height:.03125em;vertical-align:-.1875em}.fa-fw{text-align:center;width:1.25em}.fa-ul{list-style-type:none;margin-left:var(--fa-li-margin,2.5em);padding-left:0}.fa-ul>li{position:relative}.fa-li{left:calc(var(--fa-li-width, 2em)*-1);position:absolute;text-align:center;width:var(--fa-li-width,2em);line-height:inherit}.fa-border{border-radius:var(--fa-border-radius,.1em);border:var(--fa-border-width,.08em) var(--fa-border-style,solid) var(--fa-border-color,#eee);padding:var(--fa-border-padding,.2em .25em .15em)}.fa-pull-left{float:left;margin-right:var(--fa-pull-margin,.3em)}.fa-pull-right{float:right;margin-left:var(--fa-pull-margin,.3em)}.fa-beat{-webkit-animation-name:fa-beat;animation-name:fa-beat;-webkit-animation-delay:var(--fa-animation-delay,0s);animation-delay:var(--fa-animation-delay,0s);-webkit-animation-direction:var(--fa-animation-direction,normal);animation-direction:var(--fa-animation-direction,normal);-webkit-animation-duration:var(--fa-animation-duration,1s);animation-duration:var(--fa-animation-duration,1s);-webkit-animation-iteration-count:var(--fa-animation-iteration-count,infinite);animation-iteration-count:var(--fa-animation-iteration-count,infinite);-webkit-animation-timing-function:var(--fa-animation-timing,ease-in-out);animation-timing-function:var(--fa-animation-timing,ease-in-out)}.fa-bounce{-webkit-animation-name:fa-bounce;animation-name:fa-bounce;-webkit-animation-delay:var(--fa-animation-delay,0s);animation-delay:var(--fa-animation-delay,0s);-webkit-animation-direction:var(--fa-animation-direction,normal);animation-direction:var(--fa-animation-direction,normal);-webkit-animation-duration:var(--fa-animation-duration,1s);animation-duration:var(--fa-animation-duration,1s);-webkit-animation-iteration-count:var(--fa-animation-iteration-count,infinite);animation-iteration-count:var(--fa-animation-iteration-count,infinite);-webkit-animation-timing-function:var(--fa-animation-timing,cubic-bezier(.28,.84,.42,1));animation-timing-function:var(--fa-animation-timing,cubic-bezier(.28,.84,.42,1))}.fa-fade{-webkit-animation-name:fa-fade;animation-name:fa-fade;-webkit-animation-iteration-count:var(--fa-animation-iteration-count,infinite);animation-iteration-count:var(--fa-animation-iteration-count,infinite);-webkit-animation-timing-function:var(--fa-animation-timing,cubic-bezier(.4,0,.6,1));animation-timing-function:var(--fa-animation-timing,cubic-bezier(.4,0,.6,1))}.fa-beat-fade,.fa-fade{-webkit-animation-delay:var(--fa-animation-delay,0s);animation-delay:var(--fa-animation-delay,0s);-webkit-animation-direction:var(--fa-animation-direction,normal);animation-direction:var(--fa-animation-direction,normal);-webkit-animation-duration:var(--fa-animation-duration,1s);animation-duration:var(--fa-animation-duration,1s)}.fa-beat-fade{-webkit-animation-name:fa-beat-fade;animation-name:fa-beat-fade;-webkit-animation-iteration-count:var(--fa-animation-iteration-count,infinite);animation-iteration-count:var(--fa-animation-iteration-count,infinite);-webkit-animation-timing-function:var(--fa-animation-timing,cubic-bezier(.4,0,.6,1));animation-timing-function:var(--fa-animation-timing,cubic-bezier(.4,0,.6,1))}.fa-flip{-webkit-animation-name:fa-flip;animation-name:fa-flip;-webkit-animation-delay:var(--fa-animation-delay,0s);animation-delay:var(--fa-animation-delay,0s);-webkit-animation-direction:var(--fa-animation-direction,normal);animation-direction:var(--fa-animation-direction,normal);-webkit-animation-duration:var(--fa-animation-duration,1s);animation-duration:var(--fa-animation-duration,1s);-webkit-animation-iteration-count:var(--fa-animation-iteration-count,infinite);animation-iteration-count:var(--fa-animation-iteration-count,infinite);-webkit-animation-timing-function:var(--fa-animation-timing,ease-in-out);animation-timing-function:var(--fa-animation-timing,ease-in-out)}.fa-shake{-webkit-animation-name:fa-shake;animation-name:fa-shake;-webkit-animation-duration:var(--fa-animation-duration,1s);animation-duration:var(--fa-animation-duration,1s);-webkit-animation-iteration-count:var(--fa-animation-iteration-count,infinite);animation-iteration-count:var(--fa-animation-iteration-count,infinite);-webkit-animation-timing-function:var(--fa-animation-timing,linear);animation-timing-function:var(--fa-animation-timing,linear)}.fa-shake,.fa-spin{-webkit-animation-delay:var(--fa-animation-delay,0s);animation-delay:var(--fa-animation-delay,0s);-webkit-animation-direction:var(--fa-animation-direction,normal);animation-direction:var(--fa-animation-direction,normal)}.fa-spin{-webkit-animation-name:fa-spin;animation-name:fa-spin;-webkit-animation-duration:var(--fa-animation-duration,2s);animation-duration:var(--fa-animation-duration,2s);-webkit-animation-iteration-count:var(--fa-animation-iteration-count,infinite);animation-iteration-count:var(--fa-animation-iteration-count,infinite);-webkit-animation-timing-function:var(--fa-animation-timing,linear);animation-timing-function:var(--fa-animation-timing,linear)}.fa-spin-reverse{--fa-animation-direction:reverse}.fa-pulse,.fa-spin-pulse{-webkit-animation-name:fa-spin;animation-name:fa-spin;-webkit-animation-direction:var(--fa-animation-direction,normal);animation-direction:var(--fa-animation-direction,normal);-webkit-animation-duration:var(--fa-animation-duration,1s);animation-duration:var(--fa-animation-duration,1s);-webkit-animation-iteration-count:var(--fa-animation-iteration-count,infinite);animation-iteration-count:var(--fa-animation-iteration-count,infinite);-webkit-animation-timing-function:var(--fa-animation-timing,steps(8));animation-timing-function:var(--fa-animation-timing,steps(8))}@media (prefers-reduced-motion:reduce){.fa-beat,.fa-beat-fade,.fa-bounce,.fa-fade,.fa-flip,.fa-pulse,.fa-shake,.fa-spin,.fa-spin-pulse{-webkit-animation-delay:-1ms;animation-delay:-1ms;-webkit-animation-duration:1ms;animation-duration:1ms;-webkit-animation-iteration-count:1;animation-iteration-count:1;-webkit-transition-delay:0s;transition-delay:0s;-webkit-transition-duration:0s;transition-duration:0s}}@-webkit-keyframes fa-beat{0%,90%{-webkit-transform:scale(1);transform:scale(1)}45%{-webkit-transform:scale(var(--fa-beat-scale,1.25));transform:scale(var(--fa-beat-scale,1.25))}}@keyframes fa-beat{0%,90%{-webkit-transform:scale(1);transform:scale(1)}45%{-webkit-transform:scale(var(--fa-beat-scale,1.25));transform:scale(var(--fa-beat-scale,1.25))}}@-webkit-keyframes fa-bounce{0%{-webkit-transform:scale(1) translateY(0);transform:scale(1) translateY(0)}10%{-webkit-transform:scale(var(--fa-bounce-start-scale-x,1.1),var(--fa-bounce-start-scale-y,.9)) translateY(0);transform:scale(var(--fa-bounce-start-scale-x,1.1),var(--fa-bounce-start-scale-y,.9)) translateY(0)}30%{-webkit-transform:scale(var(--fa-bounce-jump-scale-x,.9),var(--fa-bounce-jump-scale-y,1.1)) translateY(var(--fa-bounce-height,-.5em));transform:scale(var(--fa-bounce-jump-scale-x,.9),var(--fa-bounce-jump-scale-y,1.1)) translateY(var(--fa-bounce-height,-.5em))}50%{-webkit-transform:scale(var(--fa-bounce-land-scale-x,1.05),var(--fa-bounce-land-scale-y,.95)) translateY(0);transform:scale(var(--fa-bounce-land-scale-x,1.05),var(--fa-bounce-land-scale-y,.95)) translateY(0)}57%{-webkit-transform:scale(1) translateY(var(--fa-bounce-rebound,-.125em));transform:scale(1) translateY(var(--fa-bounce-rebound,-.125em))}64%{-webkit-transform:scale(1) translateY(0);transform:scale(1) translateY(0)}to{-webkit-transform:scale(1) translateY(0);transform:scale(1) translateY(0)}}@keyframes fa-bounce{0%{-webkit-transform:scale(1) translateY(0);transform:scale(1) translateY(0)}10%{-webkit-transform:scale(var(--fa-bounce-start-scale-x,1.1),var(--fa-bounce-start-scale-y,.9)) translateY(0);transform:scale(var(--fa-bounce-start-scale-x,1.1),var(--fa-bounce-start-scale-y,.9)) translateY(0)}30%{-webkit-transform:scale(var(--fa-bounce-jump-scale-x,.9),var(--fa-bounce-jump-scale-y,1.1)) translateY(var(--fa-bounce-height,-.5em));transform:scale(var(--fa-bounce-jump-scale-x,.9),var(--fa-bounce-jump-scale-y,1.1)) translateY(var(--fa-bounce-height,-.5em))}50%{-webkit-transform:scale(var(--fa-bounce-land-scale-x,1.05),var(--fa-bounce-land-scale-y,.95)) translateY(0);transform:scale(var(--fa-bounce-land-scale-x,1.05),var(--fa-bounce-land-scale-y,.95)) translateY(0)}57%{-webkit-transform:scale(1) translateY(var(--fa-bounce-rebound,-.125em));transform:scale(1) translateY(var(--fa-bounce-rebound,-.125em))}64%{-webkit-transform:scale(1) translateY(0);transform:scale(1) translateY(0)}to{-webkit-transform:scale(1) translateY(0);transform:scale(1) translateY(0)}}@-webkit-keyframes fa-fade{50%{opacity:var(--fa-fade-opacity,.4)}}@keyframes fa-fade{50%{opacity:var(--fa-fade-opacity,.4)}}@-webkit-keyframes fa-beat-fade{0%,to{opacity:var(--fa-beat-fade-opacity,.4);-webkit-transform:scale(1);transform:scale(1)}50%{opacity:1;-webkit-transform:scale(var(--fa-beat-fade-scale,1.125));transform:scale(var(--fa-beat-fade-scale,1.125))}}@keyframes fa-beat-fade{0%,to{opacity:var(--fa-beat-fade-opacity,.4);-webkit-transform:scale(1);transform:scale(1)}50%{opacity:1;-webkit-transform:scale(var(--fa-beat-fade-scale,1.125));transform:scale(var(--fa-beat-fade-scale,1.125))}}@-webkit-keyframes fa-flip{50%{-webkit-transform:rotate3d(var(--fa-flip-x,0),var(--fa-flip-y,1),var(--fa-flip-z,0),var(--fa-flip-angle,-180deg));transform:rotate3d(var(--fa-flip-x,0),var(--fa-flip-y,1),var(--fa-flip-z,0),var(--fa-flip-angle,-180deg))}}@keyframes fa-flip{50%{-webkit-transform:rotate3d(var(--fa-flip-x,0),var(--fa-flip-y,1),var(--fa-flip-z,0),var(--fa-flip-angle,-180deg));transform:rotate3d(var(--fa-flip-x,0),var(--fa-flip-y,1),var(--fa-flip-z,0),var(--fa-flip-angle,-180deg))}}@-webkit-keyframes fa-shake{0%{-webkit-transform:rotate(-15deg);transform:rotate(-15deg)}4%{-webkit-transform:rotate(15deg);transform:rotate(15deg)}8%,24%{-webkit-transform:rotate(-18deg);transform:rotate(-18deg)}12%,28%{-webkit-transform:rotate(18deg);transform:rotate(18deg)}16%{-webkit-transform:rotate(-22deg);transform:rotate(-22deg)}20%{-webkit-transform:rotate(22deg);transform:rotate(22deg)}32%{-webkit-transform:rotate(-12deg);transform:rotate(-12deg)}36%{-webkit-transform:rotate(12deg);transform:rotate(12deg)}40%,to{-webkit-transform:rotate(0deg);transform:rotate(0deg)}}@keyframes fa-shake{0%{-webkit-transform:rotate(-15deg);transform:rotate(-15deg)}4%{-webkit-transform:rotate(15deg);transform:rotate(15deg)}8%,24%{-webkit-transform:rotate(-18deg);transform:rotate(-18deg)}12%,28%{-webkit-transform:rotate(18deg);transform:rotate(18deg)}16%{-webkit-transform:rotate(-22deg);transform:rotate(-22deg)}20%{-webkit-transform:rotate(22deg);transform:rotate(22deg)}32%{-webkit-transform:rotate(-12deg);transform:rotate(-12deg)}36%{-webkit-transform:rotate(12deg);transform:rotate(12deg)}40%,to{-webkit-transform:rotate(0deg);transform:rotate(0deg)}}@-webkit-keyframes fa-spin{0%{-webkit-transform:rotate(0deg);transform:rotate(0deg)}to{-webkit-transform:rotate(1turn);transform:rotate(1turn)}}@keyframes fa-spin{0%{-webkit-transform:rotate(0deg);transform:rotate(0deg)}to{-webkit-transform:rotate(1turn);transform:rotate(1turn)}}.fa-rotate-90{-webkit-transform:rotate(90deg);transform:rotate(90deg)}.fa-rotate-180{-webkit-transform:rotate(180deg);transform:rotate(180deg)}.fa-rotate-270{-webkit-transform:rotate(270deg);transform:rotate(270deg)}.fa-flip-horizontal{-webkit-transform:scaleX(-1);transform:scaleX(-1)}.fa-flip-vertical{-webkit-transform:scaleY(-1);transform:scaleY(-1)}.fa-flip-both,.fa-flip-horizontal.fa-flip-vertical{-webkit-transform:scale(-1);transform:scale(-1)}.fa-rotate-by{-webkit-transform:rotate(var(--fa-rotate-angle,none));transform:rotate(var(--fa-rotate-angle,none))}.fa-stack{display:inline-block;height:2em;line-height:2em;position:relative;vertical-align:middle;width:2.5em}.fa-stack-1x,.fa-stack-2x{left:0;position:absolute;text-align:center;width:100%;z-index:var(--fa-stack-z-index,auto)}.fa-stack-1x{line-height:inherit}.fa-stack-2x{font-size:2em}.fa-inverse{color:var(--fa-inverse,#fff)}
+
+.fa-0:before{content:"\30"}.fa-1:before{content:"\31"}.fa-2:before{content:"\32"}.fa-3:before{content:"\33"}.fa-4:before{content:"\34"}.fa-5:before{content:"\35"}.fa-6:before{content:"\36"}.fa-7:before{content:"\37"}.fa-8:before{content:"\38"}.fa-9:before{content:"\39"}.fa-fill-drip:before{content:"\f576"}.fa-arrows-to-circle:before{content:"\e4bd"}.fa-chevron-circle-right:before,.fa-circle-chevron-right:before{content:"\f138"}.fa-at:before{content:"\40"}.fa-trash-alt:before,.fa-trash-can:before{content:"\f2ed"}.fa-text-height:before{content:"\f034"}.fa-user-times:before,.fa-user-xmark:before{content:"\f235"}.fa-stethoscope:before{content:"\f0f1"}.fa-comment-alt:before,.fa-message:before{content:"\f27a"}.fa-info:before{content:"\f129"}.fa-compress-alt:before,.fa-down-left-and-up-right-to-center:before{content:"\f422"}.fa-explosion:before{content:"\e4e9"}.fa-file-alt:before,.fa-file-lines:before,.fa-file-text:before{content:"\f15c"}.fa-wave-square:before{content:"\f83e"}.fa-ring:before{content:"\f70b"}.fa-building-un:before{content:"\e4d9"}.fa-dice-three:before{content:"\f527"}.fa-calendar-alt:before,.fa-calendar-days:before{content:"\f073"}.fa-anchor-circle-check:before{content:"\e4aa"}.fa-building-circle-arrow-right:before{content:"\e4d1"}.fa-volleyball-ball:before,.fa-volleyball:before{content:"\f45f"}.fa-arrows-up-to-line:before{content:"\e4c2"}.fa-sort-desc:before,.fa-sort-down:before{content:"\f0dd"}.fa-circle-minus:before,.fa-minus-circle:before{content:"\f056"}.fa-door-open:before{content:"\f52b"}.fa-right-from-bracket:before,.fa-sign-out-alt:before{content:"\f2f5"}.fa-atom:before{content:"\f5d2"}.fa-soap:before{content:"\e06e"}.fa-heart-music-camera-bolt:before,.fa-icons:before{content:"\f86d"}.fa-microphone-alt-slash:before,.fa-microphone-lines-slash:before{content:"\f539"}.fa-bridge-circle-check:before{content:"\e4c9"}.fa-pump-medical:before{content:"\e06a"}.fa-fingerprint:before{content:"\f577"}.fa-hand-point-right:before{content:"\f0a4"}.fa-magnifying-glass-location:before,.fa-search-location:before{content:"\f689"}.fa-forward-step:before,.fa-step-forward:before{content:"\f051"}.fa-face-smile-beam:before,.fa-smile-beam:before{content:"\f5b8"}.fa-flag-checkered:before{content:"\f11e"}.fa-football-ball:before,.fa-football:before{content:"\f44e"}.fa-school-circle-exclamation:before{content:"\e56c"}.fa-crop:before{content:"\f125"}.fa-angle-double-down:before,.fa-angles-down:before{content:"\f103"}.fa-users-rectangle:before{content:"\e594"}.fa-people-roof:before{content:"\e537"}.fa-people-line:before{content:"\e534"}.fa-beer-mug-empty:before,.fa-beer:before{content:"\f0fc"}.fa-diagram-predecessor:before{content:"\e477"}.fa-arrow-up-long:before,.fa-long-arrow-up:before{content:"\f176"}.fa-burn:before,.fa-fire-flame-simple:before{content:"\f46a"}.fa-male:before,.fa-person:before{content:"\f183"}.fa-laptop:before{content:"\f109"}.fa-file-csv:before{content:"\f6dd"}.fa-menorah:before{content:"\f676"}.fa-truck-plane:before{content:"\e58f"}.fa-record-vinyl:before{content:"\f8d9"}.fa-face-grin-stars:before,.fa-grin-stars:before{content:"\f587"}.fa-bong:before{content:"\f55c"}.fa-pastafarianism:before,.fa-spaghetti-monster-flying:before{content:"\f67b"}.fa-arrow-down-up-across-line:before{content:"\e4af"}.fa-spoon:before,.fa-utensil-spoon:before{content:"\f2e5"}.fa-jar-wheat:before{content:"\e517"}.fa-envelopes-bulk:before,.fa-mail-bulk:before{content:"\f674"}.fa-file-circle-exclamation:before{content:"\e4eb"}.fa-circle-h:before,.fa-hospital-symbol:before{content:"\f47e"}.fa-pager:before{content:"\f815"}.fa-address-book:before,.fa-contact-book:before{content:"\f2b9"}.fa-strikethrough:before{content:"\f0cc"}.fa-k:before{content:"\4b"}.fa-landmark-flag:before{content:"\e51c"}.fa-pencil-alt:before,.fa-pencil:before{content:"\f303"}.fa-backward:before{content:"\f04a"}.fa-caret-right:before{content:"\f0da"}.fa-comments:before{content:"\f086"}.fa-file-clipboard:before,.fa-paste:before{content:"\f0ea"}.fa-code-pull-request:before{content:"\e13c"}.fa-clipboard-list:before{content:"\f46d"}.fa-truck-loading:before,.fa-truck-ramp-box:before{content:"\f4de"}.fa-user-check:before{content:"\f4fc"}.fa-vial-virus:before{content:"\e597"}.fa-sheet-plastic:before{content:"\e571"}.fa-blog:before{content:"\f781"}.fa-user-ninja:before{content:"\f504"}.fa-person-arrow-up-from-line:before{content:"\e539"}.fa-scroll-torah:before,.fa-torah:before{content:"\f6a0"}.fa-broom-ball:before,.fa-quidditch-broom-ball:before,.fa-quidditch:before{content:"\f458"}.fa-toggle-off:before{content:"\f204"}.fa-archive:before,.fa-box-archive:before{content:"\f187"}.fa-person-drowning:before{content:"\e545"}.fa-arrow-down-9-1:before,.fa-sort-numeric-desc:before,.fa-sort-numeric-down-alt:before{content:"\f886"}.fa-face-grin-tongue-squint:before,.fa-grin-tongue-squint:before{content:"\f58a"}.fa-spray-can:before{content:"\f5bd"}.fa-truck-monster:before{content:"\f63b"}.fa-w:before{content:"\57"}.fa-earth-africa:before,.fa-globe-africa:before{content:"\f57c"}.fa-rainbow:before{content:"\f75b"}.fa-circle-notch:before{content:"\f1ce"}.fa-tablet-alt:before,.fa-tablet-screen-button:before{content:"\f3fa"}.fa-paw:before{content:"\f1b0"}.fa-cloud:before{content:"\f0c2"}.fa-trowel-bricks:before{content:"\e58a"}.fa-face-flushed:before,.fa-flushed:before{content:"\f579"}.fa-hospital-user:before{content:"\f80d"}.fa-tent-arrow-left-right:before{content:"\e57f"}.fa-gavel:before,.fa-legal:before{content:"\f0e3"}.fa-binoculars:before{content:"\f1e5"}.fa-microphone-slash:before{content:"\f131"}.fa-box-tissue:before{content:"\e05b"}.fa-motorcycle:before{content:"\f21c"}.fa-bell-concierge:before,.fa-concierge-bell:before{content:"\f562"}.fa-pen-ruler:before,.fa-pencil-ruler:before{content:"\f5ae"}.fa-people-arrows-left-right:before,.fa-people-arrows:before{content:"\e068"}.fa-mars-and-venus-burst:before{content:"\e523"}.fa-caret-square-right:before,.fa-square-caret-right:before{content:"\f152"}.fa-cut:before,.fa-scissors:before{content:"\f0c4"}.fa-sun-plant-wilt:before{content:"\e57a"}.fa-toilets-portable:before{content:"\e584"}.fa-hockey-puck:before{content:"\f453"}.fa-table:before{content:"\f0ce"}.fa-magnifying-glass-arrow-right:before{content:"\e521"}.fa-digital-tachograph:before,.fa-tachograph-digital:before{content:"\f566"}.fa-users-slash:before{content:"\e073"}.fa-clover:before{content:"\e139"}.fa-mail-reply:before,.fa-reply:before{content:"\f3e5"}.fa-star-and-crescent:before{content:"\f699"}.fa-house-fire:before{content:"\e50c"}.fa-minus-square:before,.fa-square-minus:before{content:"\f146"}.fa-helicopter:before{content:"\f533"}.fa-compass:before{content:"\f14e"}.fa-caret-square-down:before,.fa-square-caret-down:before{content:"\f150"}.fa-file-circle-question:before{content:"\e4ef"}.fa-laptop-code:before{content:"\f5fc"}.fa-swatchbook:before{content:"\f5c3"}.fa-prescription-bottle:before{content:"\f485"}.fa-bars:before,.fa-navicon:before{content:"\f0c9"}.fa-people-group:before{content:"\e533"}.fa-hourglass-3:before,.fa-hourglass-end:before{content:"\f253"}.fa-heart-broken:before,.fa-heart-crack:before{content:"\f7a9"}.fa-external-link-square-alt:before,.fa-square-up-right:before{content:"\f360"}.fa-face-kiss-beam:before,.fa-kiss-beam:before{content:"\f597"}.fa-film:before{content:"\f008"}.fa-ruler-horizontal:before{content:"\f547"}.fa-people-robbery:before{content:"\e536"}.fa-lightbulb:before{content:"\f0eb"}.fa-caret-left:before{content:"\f0d9"}.fa-circle-exclamation:before,.fa-exclamation-circle:before{content:"\f06a"}.fa-school-circle-xmark:before{content:"\e56d"}.fa-arrow-right-from-bracket:before,.fa-sign-out:before{content:"\f08b"}.fa-chevron-circle-down:before,.fa-circle-chevron-down:before{content:"\f13a"}.fa-unlock-alt:before,.fa-unlock-keyhole:before{content:"\f13e"}.fa-cloud-showers-heavy:before{content:"\f740"}.fa-headphones-alt:before,.fa-headphones-simple:before{content:"\f58f"}.fa-sitemap:before{content:"\f0e8"}.fa-circle-dollar-to-slot:before,.fa-donate:before{content:"\f4b9"}.fa-memory:before{content:"\f538"}.fa-road-spikes:before{content:"\e568"}.fa-fire-burner:before{content:"\e4f1"}.fa-flag:before{content:"\f024"}.fa-hanukiah:before{content:"\f6e6"}.fa-feather:before{content:"\f52d"}.fa-volume-down:before,.fa-volume-low:before{content:"\f027"}.fa-comment-slash:before{content:"\f4b3"}.fa-cloud-sun-rain:before{content:"\f743"}.fa-compress:before{content:"\f066"}.fa-wheat-alt:before,.fa-wheat-awn:before{content:"\e2cd"}.fa-ankh:before{content:"\f644"}.fa-hands-holding-child:before{content:"\e4fa"}.fa-asterisk:before{content:"\2a"}.fa-check-square:before,.fa-square-check:before{content:"\f14a"}.fa-peseta-sign:before{content:"\e221"}.fa-header:before,.fa-heading:before{content:"\f1dc"}.fa-ghost:before{content:"\f6e2"}.fa-list-squares:before,.fa-list:before{content:"\f03a"}.fa-phone-square-alt:before,.fa-square-phone-flip:before{content:"\f87b"}.fa-cart-plus:before{content:"\f217"}.fa-gamepad:before{content:"\f11b"}.fa-circle-dot:before,.fa-dot-circle:before{content:"\f192"}.fa-dizzy:before,.fa-face-dizzy:before{content:"\f567"}.fa-egg:before{content:"\f7fb"}.fa-house-medical-circle-xmark:before{content:"\e513"}.fa-campground:before{content:"\f6bb"}.fa-folder-plus:before{content:"\f65e"}.fa-futbol-ball:before,.fa-futbol:before,.fa-soccer-ball:before{content:"\f1e3"}.fa-paint-brush:before,.fa-paintbrush:before{content:"\f1fc"}.fa-lock:before{content:"\f023"}.fa-gas-pump:before{content:"\f52f"}.fa-hot-tub-person:before,.fa-hot-tub:before{content:"\f593"}.fa-map-location:before,.fa-map-marked:before{content:"\f59f"}.fa-house-flood-water:before{content:"\e50e"}.fa-tree:before{content:"\f1bb"}.fa-bridge-lock:before{content:"\e4cc"}.fa-sack-dollar:before{content:"\f81d"}.fa-edit:before,.fa-pen-to-square:before{content:"\f044"}.fa-car-side:before{content:"\f5e4"}.fa-share-alt:before,.fa-share-nodes:before{content:"\f1e0"}.fa-heart-circle-minus:before{content:"\e4ff"}.fa-hourglass-2:before,.fa-hourglass-half:before{content:"\f252"}.fa-microscope:before{content:"\f610"}.fa-sink:before{content:"\e06d"}.fa-bag-shopping:before,.fa-shopping-bag:before{content:"\f290"}.fa-arrow-down-z-a:before,.fa-sort-alpha-desc:before,.fa-sort-alpha-down-alt:before{content:"\f881"}.fa-mitten:before{content:"\f7b5"}.fa-person-rays:before{content:"\e54d"}.fa-users:before{content:"\f0c0"}.fa-eye-slash:before{content:"\f070"}.fa-flask-vial:before{content:"\e4f3"}.fa-hand-paper:before,.fa-hand:before{content:"\f256"}.fa-om:before{content:"\f679"}.fa-worm:before{content:"\e599"}.fa-house-circle-xmark:before{content:"\e50b"}.fa-plug:before{content:"\f1e6"}.fa-chevron-up:before{content:"\f077"}.fa-hand-spock:before{content:"\f259"}.fa-stopwatch:before{content:"\f2f2"}.fa-face-kiss:before,.fa-kiss:before{content:"\f596"}.fa-bridge-circle-xmark:before{content:"\e4cb"}.fa-face-grin-tongue:before,.fa-grin-tongue:before{content:"\f589"}.fa-chess-bishop:before{content:"\f43a"}.fa-face-grin-wink:before,.fa-grin-wink:before{content:"\f58c"}.fa-deaf:before,.fa-deafness:before,.fa-ear-deaf:before,.fa-hard-of-hearing:before{content:"\f2a4"}.fa-road-circle-check:before{content:"\e564"}.fa-dice-five:before{content:"\f523"}.fa-rss-square:before,.fa-square-rss:before{content:"\f143"}.fa-land-mine-on:before{content:"\e51b"}.fa-i-cursor:before{content:"\f246"}.fa-stamp:before{content:"\f5bf"}.fa-stairs:before{content:"\e289"}.fa-i:before{content:"\49"}.fa-hryvnia-sign:before,.fa-hryvnia:before{content:"\f6f2"}.fa-pills:before{content:"\f484"}.fa-face-grin-wide:before,.fa-grin-alt:before{content:"\f581"}.fa-tooth:before{content:"\f5c9"}.fa-v:before{content:"\56"}.fa-bangladeshi-taka-sign:before{content:"\e2e6"}.fa-bicycle:before{content:"\f206"}.fa-rod-asclepius:before,.fa-rod-snake:before,.fa-staff-aesculapius:before,.fa-staff-snake:before{content:"\e579"}.fa-head-side-cough-slash:before{content:"\e062"}.fa-ambulance:before,.fa-truck-medical:before{content:"\f0f9"}.fa-wheat-awn-circle-exclamation:before{content:"\e598"}.fa-snowman:before{content:"\f7d0"}.fa-mortar-pestle:before{content:"\f5a7"}.fa-road-barrier:before{content:"\e562"}.fa-school:before{content:"\f549"}.fa-igloo:before{content:"\f7ae"}.fa-joint:before{content:"\f595"}.fa-angle-right:before{content:"\f105"}.fa-horse:before{content:"\f6f0"}.fa-q:before{content:"\51"}.fa-g:before{content:"\47"}.fa-notes-medical:before{content:"\f481"}.fa-temperature-2:before,.fa-temperature-half:before,.fa-thermometer-2:before,.fa-thermometer-half:before{content:"\f2c9"}.fa-dong-sign:before{content:"\e169"}.fa-capsules:before{content:"\f46b"}.fa-poo-bolt:before,.fa-poo-storm:before{content:"\f75a"}.fa-face-frown-open:before,.fa-frown-open:before{content:"\f57a"}.fa-hand-point-up:before{content:"\f0a6"}.fa-money-bill:before{content:"\f0d6"}.fa-bookmark:before{content:"\f02e"}.fa-align-justify:before{content:"\f039"}.fa-umbrella-beach:before{content:"\f5ca"}.fa-helmet-un:before{content:"\e503"}.fa-bullseye:before{content:"\f140"}.fa-bacon:before{content:"\f7e5"}.fa-hand-point-down:before{content:"\f0a7"}.fa-arrow-up-from-bracket:before{content:"\e09a"}.fa-folder-blank:before,.fa-folder:before{content:"\f07b"}.fa-file-medical-alt:before,.fa-file-waveform:before{content:"\f478"}.fa-radiation:before{content:"\f7b9"}.fa-chart-simple:before{content:"\e473"}.fa-mars-stroke:before{content:"\f229"}.fa-vial:before{content:"\f492"}.fa-dashboard:before,.fa-gauge-med:before,.fa-gauge:before,.fa-tachometer-alt-average:before{content:"\f624"}.fa-magic-wand-sparkles:before,.fa-wand-magic-sparkles:before{content:"\e2ca"}.fa-e:before{content:"\45"}.fa-pen-alt:before,.fa-pen-clip:before{content:"\f305"}.fa-bridge-circle-exclamation:before{content:"\e4ca"}.fa-user:before{content:"\f007"}.fa-school-circle-check:before{content:"\e56b"}.fa-dumpster:before{content:"\f793"}.fa-shuttle-van:before,.fa-van-shuttle:before{content:"\f5b6"}.fa-building-user:before{content:"\e4da"}.fa-caret-square-left:before,.fa-square-caret-left:before{content:"\f191"}.fa-highlighter:before{content:"\f591"}.fa-key:before{content:"\f084"}.fa-bullhorn:before{content:"\f0a1"}.fa-globe:before{content:"\f0ac"}.fa-synagogue:before{content:"\f69b"}.fa-person-half-dress:before{content:"\e548"}.fa-road-bridge:before{content:"\e563"}.fa-location-arrow:before{content:"\f124"}.fa-c:before{content:"\43"}.fa-tablet-button:before{content:"\f10a"}.fa-building-lock:before{content:"\e4d6"}.fa-pizza-slice:before{content:"\f818"}.fa-money-bill-wave:before{content:"\f53a"}.fa-area-chart:before,.fa-chart-area:before{content:"\f1fe"}.fa-house-flag:before{content:"\e50d"}.fa-person-circle-minus:before{content:"\e540"}.fa-ban:before,.fa-cancel:before{content:"\f05e"}.fa-camera-rotate:before{content:"\e0d8"}.fa-air-freshener:before,.fa-spray-can-sparkles:before{content:"\f5d0"}.fa-star:before{content:"\f005"}.fa-repeat:before{content:"\f363"}.fa-cross:before{content:"\f654"}.fa-box:before{content:"\f466"}.fa-venus-mars:before{content:"\f228"}.fa-arrow-pointer:before,.fa-mouse-pointer:before{content:"\f245"}.fa-expand-arrows-alt:before,.fa-maximize:before{content:"\f31e"}.fa-charging-station:before{content:"\f5e7"}.fa-shapes:before,.fa-triangle-circle-square:before{content:"\f61f"}.fa-random:before,.fa-shuffle:before{content:"\f074"}.fa-person-running:before,.fa-running:before{content:"\f70c"}.fa-mobile-retro:before{content:"\e527"}.fa-grip-lines-vertical:before{content:"\f7a5"}.fa-spider:before{content:"\f717"}.fa-hands-bound:before{content:"\e4f9"}.fa-file-invoice-dollar:before{content:"\f571"}.fa-plane-circle-exclamation:before{content:"\e556"}.fa-x-ray:before{content:"\f497"}.fa-spell-check:before{content:"\f891"}.fa-slash:before{content:"\f715"}.fa-computer-mouse:before,.fa-mouse:before{content:"\f8cc"}.fa-arrow-right-to-bracket:before,.fa-sign-in:before{content:"\f090"}.fa-shop-slash:before,.fa-store-alt-slash:before{content:"\e070"}.fa-server:before{content:"\f233"}.fa-virus-covid-slash:before{content:"\e4a9"}.fa-shop-lock:before{content:"\e4a5"}.fa-hourglass-1:before,.fa-hourglass-start:before{content:"\f251"}.fa-blender-phone:before{content:"\f6b6"}.fa-building-wheat:before{content:"\e4db"}.fa-person-breastfeeding:before{content:"\e53a"}.fa-right-to-bracket:before,.fa-sign-in-alt:before{content:"\f2f6"}.fa-venus:before{content:"\f221"}.fa-passport:before{content:"\f5ab"}.fa-heart-pulse:before,.fa-heartbeat:before{content:"\f21e"}.fa-people-carry-box:before,.fa-people-carry:before{content:"\f4ce"}.fa-temperature-high:before{content:"\f769"}.fa-microchip:before{content:"\f2db"}.fa-crown:before{content:"\f521"}.fa-weight-hanging:before{content:"\f5cd"}.fa-xmarks-lines:before{content:"\e59a"}.fa-file-prescription:before{content:"\f572"}.fa-weight-scale:before,.fa-weight:before{content:"\f496"}.fa-user-friends:before,.fa-user-group:before{content:"\f500"}.fa-arrow-up-a-z:before,.fa-sort-alpha-up:before{content:"\f15e"}.fa-chess-knight:before{content:"\f441"}.fa-face-laugh-squint:before,.fa-laugh-squint:before{content:"\f59b"}.fa-wheelchair:before{content:"\f193"}.fa-arrow-circle-up:before,.fa-circle-arrow-up:before{content:"\f0aa"}.fa-toggle-on:before{content:"\f205"}.fa-person-walking:before,.fa-walking:before{content:"\f554"}.fa-l:before{content:"\4c"}.fa-fire:before{content:"\f06d"}.fa-bed-pulse:before,.fa-procedures:before{content:"\f487"}.fa-shuttle-space:before,.fa-space-shuttle:before{content:"\f197"}.fa-face-laugh:before,.fa-laugh:before{content:"\f599"}.fa-folder-open:before{content:"\f07c"}.fa-heart-circle-plus:before{content:"\e500"}.fa-code-fork:before{content:"\e13b"}.fa-city:before{content:"\f64f"}.fa-microphone-alt:before,.fa-microphone-lines:before{content:"\f3c9"}.fa-pepper-hot:before{content:"\f816"}.fa-unlock:before{content:"\f09c"}.fa-colon-sign:before{content:"\e140"}.fa-headset:before{content:"\f590"}.fa-store-slash:before{content:"\e071"}.fa-road-circle-xmark:before{content:"\e566"}.fa-user-minus:before{content:"\f503"}.fa-mars-stroke-up:before,.fa-mars-stroke-v:before{content:"\f22a"}.fa-champagne-glasses:before,.fa-glass-cheers:before{content:"\f79f"}.fa-clipboard:before{content:"\f328"}.fa-house-circle-exclamation:before{content:"\e50a"}.fa-file-arrow-up:before,.fa-file-upload:before{content:"\f574"}.fa-wifi-3:before,.fa-wifi-strong:before,.fa-wifi:before{content:"\f1eb"}.fa-bath:before,.fa-bathtub:before{content:"\f2cd"}.fa-underline:before{content:"\f0cd"}.fa-user-edit:before,.fa-user-pen:before{content:"\f4ff"}.fa-signature:before{content:"\f5b7"}.fa-stroopwafel:before{content:"\f551"}.fa-bold:before{content:"\f032"}.fa-anchor-lock:before{content:"\e4ad"}.fa-building-ngo:before{content:"\e4d7"}.fa-manat-sign:before{content:"\e1d5"}.fa-not-equal:before{content:"\f53e"}.fa-border-style:before,.fa-border-top-left:before{content:"\f853"}.fa-map-location-dot:before,.fa-map-marked-alt:before{content:"\f5a0"}.fa-jedi:before{content:"\f669"}.fa-poll:before,.fa-square-poll-vertical:before{content:"\f681"}.fa-mug-hot:before{content:"\f7b6"}.fa-battery-car:before,.fa-car-battery:before{content:"\f5df"}.fa-gift:before{content:"\f06b"}.fa-dice-two:before{content:"\f528"}.fa-chess-queen:before{content:"\f445"}.fa-glasses:before{content:"\f530"}.fa-chess-board:before{content:"\f43c"}.fa-building-circle-check:before{content:"\e4d2"}.fa-person-chalkboard:before{content:"\e53d"}.fa-mars-stroke-h:before,.fa-mars-stroke-right:before{content:"\f22b"}.fa-hand-back-fist:before,.fa-hand-rock:before{content:"\f255"}.fa-caret-square-up:before,.fa-square-caret-up:before{content:"\f151"}.fa-cloud-showers-water:before{content:"\e4e4"}.fa-bar-chart:before,.fa-chart-bar:before{content:"\f080"}.fa-hands-bubbles:before,.fa-hands-wash:before{content:"\e05e"}.fa-less-than-equal:before{content:"\f537"}.fa-train:before{content:"\f238"}.fa-eye-low-vision:before,.fa-low-vision:before{content:"\f2a8"}.fa-crow:before{content:"\f520"}.fa-sailboat:before{content:"\e445"}.fa-window-restore:before{content:"\f2d2"}.fa-plus-square:before,.fa-square-plus:before{content:"\f0fe"}.fa-torii-gate:before{content:"\f6a1"}.fa-frog:before{content:"\f52e"}.fa-bucket:before{content:"\e4cf"}.fa-image:before{content:"\f03e"}.fa-microphone:before{content:"\f130"}.fa-cow:before{content:"\f6c8"}.fa-caret-up:before{content:"\f0d8"}.fa-screwdriver:before{content:"\f54a"}.fa-folder-closed:before{content:"\e185"}.fa-house-tsunami:before{content:"\e515"}.fa-square-nfi:before{content:"\e576"}.fa-arrow-up-from-ground-water:before{content:"\e4b5"}.fa-glass-martini-alt:before,.fa-martini-glass:before{content:"\f57b"}.fa-rotate-back:before,.fa-rotate-backward:before,.fa-rotate-left:before,.fa-undo-alt:before{content:"\f2ea"}.fa-columns:before,.fa-table-columns:before{content:"\f0db"}.fa-lemon:before{content:"\f094"}.fa-head-side-mask:before{content:"\e063"}.fa-handshake:before{content:"\f2b5"}.fa-gem:before{content:"\f3a5"}.fa-dolly-box:before,.fa-dolly:before{content:"\f472"}.fa-smoking:before{content:"\f48d"}.fa-compress-arrows-alt:before,.fa-minimize:before{content:"\f78c"}.fa-monument:before{content:"\f5a6"}.fa-snowplow:before{content:"\f7d2"}.fa-angle-double-right:before,.fa-angles-right:before{content:"\f101"}.fa-cannabis:before{content:"\f55f"}.fa-circle-play:before,.fa-play-circle:before{content:"\f144"}.fa-tablets:before{content:"\f490"}.fa-ethernet:before{content:"\f796"}.fa-eur:before,.fa-euro-sign:before,.fa-euro:before{content:"\f153"}.fa-chair:before{content:"\f6c0"}.fa-check-circle:before,.fa-circle-check:before{content:"\f058"}.fa-circle-stop:before,.fa-stop-circle:before{content:"\f28d"}.fa-compass-drafting:before,.fa-drafting-compass:before{content:"\f568"}.fa-plate-wheat:before{content:"\e55a"}.fa-icicles:before{content:"\f7ad"}.fa-person-shelter:before{content:"\e54f"}.fa-neuter:before{content:"\f22c"}.fa-id-badge:before{content:"\f2c1"}.fa-marker:before{content:"\f5a1"}.fa-face-laugh-beam:before,.fa-laugh-beam:before{content:"\f59a"}.fa-helicopter-symbol:before{content:"\e502"}.fa-universal-access:before{content:"\f29a"}.fa-chevron-circle-up:before,.fa-circle-chevron-up:before{content:"\f139"}.fa-lari-sign:before{content:"\e1c8"}.fa-volcano:before{content:"\f770"}.fa-person-walking-dashed-line-arrow-right:before{content:"\e553"}.fa-gbp:before,.fa-pound-sign:before,.fa-sterling-sign:before{content:"\f154"}.fa-viruses:before{content:"\e076"}.fa-square-person-confined:before{content:"\e577"}.fa-user-tie:before{content:"\f508"}.fa-arrow-down-long:before,.fa-long-arrow-down:before{content:"\f175"}.fa-tent-arrow-down-to-line:before{content:"\e57e"}.fa-certificate:before{content:"\f0a3"}.fa-mail-reply-all:before,.fa-reply-all:before{content:"\f122"}.fa-suitcase:before{content:"\f0f2"}.fa-person-skating:before,.fa-skating:before{content:"\f7c5"}.fa-filter-circle-dollar:before,.fa-funnel-dollar:before{content:"\f662"}.fa-camera-retro:before{content:"\f083"}.fa-arrow-circle-down:before,.fa-circle-arrow-down:before{content:"\f0ab"}.fa-arrow-right-to-file:before,.fa-file-import:before{content:"\f56f"}.fa-external-link-square:before,.fa-square-arrow-up-right:before{content:"\f14c"}.fa-box-open:before{content:"\f49e"}.fa-scroll:before{content:"\f70e"}.fa-spa:before{content:"\f5bb"}.fa-location-pin-lock:before{content:"\e51f"}.fa-pause:before{content:"\f04c"}.fa-hill-avalanche:before{content:"\e507"}.fa-temperature-0:before,.fa-temperature-empty:before,.fa-thermometer-0:before,.fa-thermometer-empty:before{content:"\f2cb"}.fa-bomb:before{content:"\f1e2"}.fa-registered:before{content:"\f25d"}.fa-address-card:before,.fa-contact-card:before,.fa-vcard:before{content:"\f2bb"}.fa-balance-scale-right:before,.fa-scale-unbalanced-flip:before{content:"\f516"}.fa-subscript:before{content:"\f12c"}.fa-diamond-turn-right:before,.fa-directions:before{content:"\f5eb"}.fa-burst:before{content:"\e4dc"}.fa-house-laptop:before,.fa-laptop-house:before{content:"\e066"}.fa-face-tired:before,.fa-tired:before{content:"\f5c8"}.fa-money-bills:before{content:"\e1f3"}.fa-smog:before{content:"\f75f"}.fa-crutch:before{content:"\f7f7"}.fa-cloud-arrow-up:before,.fa-cloud-upload-alt:before,.fa-cloud-upload:before{content:"\f0ee"}.fa-palette:before{content:"\f53f"}.fa-arrows-turn-right:before{content:"\e4c0"}.fa-vest:before{content:"\e085"}.fa-ferry:before{content:"\e4ea"}.fa-arrows-down-to-people:before{content:"\e4b9"}.fa-seedling:before,.fa-sprout:before{content:"\f4d8"}.fa-arrows-alt-h:before,.fa-left-right:before{content:"\f337"}.fa-boxes-packing:before{content:"\e4c7"}.fa-arrow-circle-left:before,.fa-circle-arrow-left:before{content:"\f0a8"}.fa-group-arrows-rotate:before{content:"\e4f6"}.fa-bowl-food:before{content:"\e4c6"}.fa-candy-cane:before{content:"\f786"}.fa-arrow-down-wide-short:before,.fa-sort-amount-asc:before,.fa-sort-amount-down:before{content:"\f160"}.fa-cloud-bolt:before,.fa-thunderstorm:before{content:"\f76c"}.fa-remove-format:before,.fa-text-slash:before{content:"\f87d"}.fa-face-smile-wink:before,.fa-smile-wink:before{content:"\f4da"}.fa-file-word:before{content:"\f1c2"}.fa-file-powerpoint:before{content:"\f1c4"}.fa-arrows-h:before,.fa-arrows-left-right:before{content:"\f07e"}.fa-house-lock:before{content:"\e510"}.fa-cloud-arrow-down:before,.fa-cloud-download-alt:before,.fa-cloud-download:before{content:"\f0ed"}.fa-children:before{content:"\e4e1"}.fa-blackboard:before,.fa-chalkboard:before{content:"\f51b"}.fa-user-alt-slash:before,.fa-user-large-slash:before{content:"\f4fa"}.fa-envelope-open:before{content:"\f2b6"}.fa-handshake-alt-slash:before,.fa-handshake-simple-slash:before{content:"\e05f"}.fa-mattress-pillow:before{content:"\e525"}.fa-guarani-sign:before{content:"\e19a"}.fa-arrows-rotate:before,.fa-refresh:before,.fa-sync:before{content:"\f021"}.fa-fire-extinguisher:before{content:"\f134"}.fa-cruzeiro-sign:before{content:"\e152"}.fa-greater-than-equal:before{content:"\f532"}.fa-shield-alt:before,.fa-shield-halved:before{content:"\f3ed"}.fa-atlas:before,.fa-book-atlas:before{content:"\f558"}.fa-virus:before{content:"\e074"}.fa-envelope-circle-check:before{content:"\e4e8"}.fa-layer-group:before{content:"\f5fd"}.fa-arrows-to-dot:before{content:"\e4be"}.fa-archway:before{content:"\f557"}.fa-heart-circle-check:before{content:"\e4fd"}.fa-house-chimney-crack:before,.fa-house-damage:before{content:"\f6f1"}.fa-file-archive:before,.fa-file-zipper:before{content:"\f1c6"}.fa-square:before{content:"\f0c8"}.fa-glass-martini:before,.fa-martini-glass-empty:before{content:"\f000"}.fa-couch:before{content:"\f4b8"}.fa-cedi-sign:before{content:"\e0df"}.fa-italic:before{content:"\f033"}.fa-church:before{content:"\f51d"}.fa-comments-dollar:before{content:"\f653"}.fa-democrat:before{content:"\f747"}.fa-z:before{content:"\5a"}.fa-person-skiing:before,.fa-skiing:before{content:"\f7c9"}.fa-road-lock:before{content:"\e567"}.fa-a:before{content:"\41"}.fa-temperature-arrow-down:before,.fa-temperature-down:before{content:"\e03f"}.fa-feather-alt:before,.fa-feather-pointed:before{content:"\f56b"}.fa-p:before{content:"\50"}.fa-snowflake:before{content:"\f2dc"}.fa-newspaper:before{content:"\f1ea"}.fa-ad:before,.fa-rectangle-ad:before{content:"\f641"}.fa-arrow-circle-right:before,.fa-circle-arrow-right:before{content:"\f0a9"}.fa-filter-circle-xmark:before{content:"\e17b"}.fa-locust:before{content:"\e520"}.fa-sort:before,.fa-unsorted:before{content:"\f0dc"}.fa-list-1-2:before,.fa-list-numeric:before,.fa-list-ol:before{content:"\f0cb"}.fa-person-dress-burst:before{content:"\e544"}.fa-money-check-alt:before,.fa-money-check-dollar:before{content:"\f53d"}.fa-vector-square:before{content:"\f5cb"}.fa-bread-slice:before{content:"\f7ec"}.fa-language:before{content:"\f1ab"}.fa-face-kiss-wink-heart:before,.fa-kiss-wink-heart:before{content:"\f598"}.fa-filter:before{content:"\f0b0"}.fa-question:before{content:"\3f"}.fa-file-signature:before{content:"\f573"}.fa-arrows-alt:before,.fa-up-down-left-right:before{content:"\f0b2"}.fa-house-chimney-user:before{content:"\e065"}.fa-hand-holding-heart:before{content:"\f4be"}.fa-puzzle-piece:before{content:"\f12e"}.fa-money-check:before{content:"\f53c"}.fa-star-half-alt:before,.fa-star-half-stroke:before{content:"\f5c0"}.fa-code:before{content:"\f121"}.fa-glass-whiskey:before,.fa-whiskey-glass:before{content:"\f7a0"}.fa-building-circle-exclamation:before{content:"\e4d3"}.fa-magnifying-glass-chart:before{content:"\e522"}.fa-arrow-up-right-from-square:before,.fa-external-link:before{content:"\f08e"}.fa-cubes-stacked:before{content:"\e4e6"}.fa-krw:before,.fa-won-sign:before,.fa-won:before{content:"\f159"}.fa-virus-covid:before{content:"\e4a8"}.fa-austral-sign:before{content:"\e0a9"}.fa-f:before{content:"\46"}.fa-leaf:before{content:"\f06c"}.fa-road:before{content:"\f018"}.fa-cab:before,.fa-taxi:before{content:"\f1ba"}.fa-person-circle-plus:before{content:"\e541"}.fa-chart-pie:before,.fa-pie-chart:before{content:"\f200"}.fa-bolt-lightning:before{content:"\e0b7"}.fa-sack-xmark:before{content:"\e56a"}.fa-file-excel:before{content:"\f1c3"}.fa-file-contract:before{content:"\f56c"}.fa-fish-fins:before{content:"\e4f2"}.fa-building-flag:before{content:"\e4d5"}.fa-face-grin-beam:before,.fa-grin-beam:before{content:"\f582"}.fa-object-ungroup:before{content:"\f248"}.fa-poop:before{content:"\f619"}.fa-location-pin:before,.fa-map-marker:before{content:"\f041"}.fa-kaaba:before{content:"\f66b"}.fa-toilet-paper:before{content:"\f71e"}.fa-hard-hat:before,.fa-hat-hard:before,.fa-helmet-safety:before{content:"\f807"}.fa-eject:before{content:"\f052"}.fa-arrow-alt-circle-right:before,.fa-circle-right:before{content:"\f35a"}.fa-plane-circle-check:before{content:"\e555"}.fa-face-rolling-eyes:before,.fa-meh-rolling-eyes:before{content:"\f5a5"}.fa-object-group:before{content:"\f247"}.fa-chart-line:before,.fa-line-chart:before{content:"\f201"}.fa-mask-ventilator:before{content:"\e524"}.fa-arrow-right:before{content:"\f061"}.fa-map-signs:before,.fa-signs-post:before{content:"\f277"}.fa-cash-register:before{content:"\f788"}.fa-person-circle-question:before{content:"\e542"}.fa-h:before{content:"\48"}.fa-tarp:before{content:"\e57b"}.fa-screwdriver-wrench:before,.fa-tools:before{content:"\f7d9"}.fa-arrows-to-eye:before{content:"\e4bf"}.fa-plug-circle-bolt:before{content:"\e55b"}.fa-heart:before{content:"\f004"}.fa-mars-and-venus:before{content:"\f224"}.fa-home-user:before,.fa-house-user:before{content:"\e1b0"}.fa-dumpster-fire:before{content:"\f794"}.fa-house-crack:before{content:"\e3b1"}.fa-cocktail:before,.fa-martini-glass-citrus:before{content:"\f561"}.fa-face-surprise:before,.fa-surprise:before{content:"\f5c2"}.fa-bottle-water:before{content:"\e4c5"}.fa-circle-pause:before,.fa-pause-circle:before{content:"\f28b"}.fa-toilet-paper-slash:before{content:"\e072"}.fa-apple-alt:before,.fa-apple-whole:before{content:"\f5d1"}.fa-kitchen-set:before{content:"\e51a"}.fa-r:before{content:"\52"}.fa-temperature-1:before,.fa-temperature-quarter:before,.fa-thermometer-1:before,.fa-thermometer-quarter:before{content:"\f2ca"}.fa-cube:before{content:"\f1b2"}.fa-bitcoin-sign:before{content:"\e0b4"}.fa-shield-dog:before{content:"\e573"}.fa-solar-panel:before{content:"\f5ba"}.fa-lock-open:before{content:"\f3c1"}.fa-elevator:before{content:"\e16d"}.fa-money-bill-transfer:before{content:"\e528"}.fa-money-bill-trend-up:before{content:"\e529"}.fa-house-flood-water-circle-arrow-right:before{content:"\e50f"}.fa-poll-h:before,.fa-square-poll-horizontal:before{content:"\f682"}.fa-circle:before{content:"\f111"}.fa-backward-fast:before,.fa-fast-backward:before{content:"\f049"}.fa-recycle:before{content:"\f1b8"}.fa-user-astronaut:before{content:"\f4fb"}.fa-plane-slash:before{content:"\e069"}.fa-trademark:before{content:"\f25c"}.fa-basketball-ball:before,.fa-basketball:before{content:"\f434"}.fa-satellite-dish:before{content:"\f7c0"}.fa-arrow-alt-circle-up:before,.fa-circle-up:before{content:"\f35b"}.fa-mobile-alt:before,.fa-mobile-screen-button:before{content:"\f3cd"}.fa-volume-high:before,.fa-volume-up:before{content:"\f028"}.fa-users-rays:before{content:"\e593"}.fa-wallet:before{content:"\f555"}.fa-clipboard-check:before{content:"\f46c"}.fa-file-audio:before{content:"\f1c7"}.fa-burger:before,.fa-hamburger:before{content:"\f805"}.fa-wrench:before{content:"\f0ad"}.fa-bugs:before{content:"\e4d0"}.fa-rupee-sign:before,.fa-rupee:before{content:"\f156"}.fa-file-image:before{content:"\f1c5"}.fa-circle-question:before,.fa-question-circle:before{content:"\f059"}.fa-plane-departure:before{content:"\f5b0"}.fa-handshake-slash:before{content:"\e060"}.fa-book-bookmark:before{content:"\e0bb"}.fa-code-branch:before{content:"\f126"}.fa-hat-cowboy:before{content:"\f8c0"}.fa-bridge:before{content:"\e4c8"}.fa-phone-alt:before,.fa-phone-flip:before{content:"\f879"}.fa-truck-front:before{content:"\e2b7"}.fa-cat:before{content:"\f6be"}.fa-anchor-circle-exclamation:before{content:"\e4ab"}.fa-truck-field:before{content:"\e58d"}.fa-route:before{content:"\f4d7"}.fa-clipboard-question:before{content:"\e4e3"}.fa-panorama:before{content:"\e209"}.fa-comment-medical:before{content:"\f7f5"}.fa-teeth-open:before{content:"\f62f"}.fa-file-circle-minus:before{content:"\e4ed"}.fa-tags:before{content:"\f02c"}.fa-wine-glass:before{content:"\f4e3"}.fa-fast-forward:before,.fa-forward-fast:before{content:"\f050"}.fa-face-meh-blank:before,.fa-meh-blank:before{content:"\f5a4"}.fa-parking:before,.fa-square-parking:before{content:"\f540"}.fa-house-signal:before{content:"\e012"}.fa-bars-progress:before,.fa-tasks-alt:before{content:"\f828"}.fa-faucet-drip:before{content:"\e006"}.fa-cart-flatbed:before,.fa-dolly-flatbed:before{content:"\f474"}.fa-ban-smoking:before,.fa-smoking-ban:before{content:"\f54d"}.fa-terminal:before{content:"\f120"}.fa-mobile-button:before{content:"\f10b"}.fa-house-medical-flag:before{content:"\e514"}.fa-basket-shopping:before,.fa-shopping-basket:before{content:"\f291"}.fa-tape:before{content:"\f4db"}.fa-bus-alt:before,.fa-bus-simple:before{content:"\f55e"}.fa-eye:before{content:"\f06e"}.fa-face-sad-cry:before,.fa-sad-cry:before{content:"\f5b3"}.fa-audio-description:before{content:"\f29e"}.fa-person-military-to-person:before{content:"\e54c"}.fa-file-shield:before{content:"\e4f0"}.fa-user-slash:before{content:"\f506"}.fa-pen:before{content:"\f304"}.fa-tower-observation:before{content:"\e586"}.fa-file-code:before{content:"\f1c9"}.fa-signal-5:before,.fa-signal-perfect:before,.fa-signal:before{content:"\f012"}.fa-bus:before{content:"\f207"}.fa-heart-circle-xmark:before{content:"\e501"}.fa-home-lg:before,.fa-house-chimney:before{content:"\e3af"}.fa-window-maximize:before{content:"\f2d0"}.fa-face-frown:before,.fa-frown:before{content:"\f119"}.fa-prescription:before{content:"\f5b1"}.fa-shop:before,.fa-store-alt:before{content:"\f54f"}.fa-floppy-disk:before,.fa-save:before{content:"\f0c7"}.fa-vihara:before{content:"\f6a7"}.fa-balance-scale-left:before,.fa-scale-unbalanced:before{content:"\f515"}.fa-sort-asc:before,.fa-sort-up:before{content:"\f0de"}.fa-comment-dots:before,.fa-commenting:before{content:"\f4ad"}.fa-plant-wilt:before{content:"\e5aa"}.fa-diamond:before{content:"\f219"}.fa-face-grin-squint:before,.fa-grin-squint:before{content:"\f585"}.fa-hand-holding-dollar:before,.fa-hand-holding-usd:before{content:"\f4c0"}.fa-bacterium:before{content:"\e05a"}.fa-hand-pointer:before{content:"\f25a"}.fa-drum-steelpan:before{content:"\f56a"}.fa-hand-scissors:before{content:"\f257"}.fa-hands-praying:before,.fa-praying-hands:before{content:"\f684"}.fa-arrow-right-rotate:before,.fa-arrow-rotate-forward:before,.fa-arrow-rotate-right:before,.fa-redo:before{content:"\f01e"}.fa-biohazard:before{content:"\f780"}.fa-location-crosshairs:before,.fa-location:before{content:"\f601"}.fa-mars-double:before{content:"\f227"}.fa-child-dress:before{content:"\e59c"}.fa-users-between-lines:before{content:"\e591"}.fa-lungs-virus:before{content:"\e067"}.fa-face-grin-tears:before,.fa-grin-tears:before{content:"\f588"}.fa-phone:before{content:"\f095"}.fa-calendar-times:before,.fa-calendar-xmark:before{content:"\f273"}.fa-child-reaching:before{content:"\e59d"}.fa-head-side-virus:before{content:"\e064"}.fa-user-cog:before,.fa-user-gear:before{content:"\f4fe"}.fa-arrow-up-1-9:before,.fa-sort-numeric-up:before{content:"\f163"}.fa-door-closed:before{content:"\f52a"}.fa-shield-virus:before{content:"\e06c"}.fa-dice-six:before{content:"\f526"}.fa-mosquito-net:before{content:"\e52c"}.fa-bridge-water:before{content:"\e4ce"}.fa-person-booth:before{content:"\f756"}.fa-text-width:before{content:"\f035"}.fa-hat-wizard:before{content:"\f6e8"}.fa-pen-fancy:before{content:"\f5ac"}.fa-digging:before,.fa-person-digging:before{content:"\f85e"}.fa-trash:before{content:"\f1f8"}.fa-gauge-simple-med:before,.fa-gauge-simple:before,.fa-tachometer-average:before{content:"\f629"}.fa-book-medical:before{content:"\f7e6"}.fa-poo:before{content:"\f2fe"}.fa-quote-right-alt:before,.fa-quote-right:before{content:"\f10e"}.fa-shirt:before,.fa-t-shirt:before,.fa-tshirt:before{content:"\f553"}.fa-cubes:before{content:"\f1b3"}.fa-divide:before{content:"\f529"}.fa-tenge-sign:before,.fa-tenge:before{content:"\f7d7"}.fa-headphones:before{content:"\f025"}.fa-hands-holding:before{content:"\f4c2"}.fa-hands-clapping:before{content:"\e1a8"}.fa-republican:before{content:"\f75e"}.fa-arrow-left:before{content:"\f060"}.fa-person-circle-xmark:before{content:"\e543"}.fa-ruler:before{content:"\f545"}.fa-align-left:before{content:"\f036"}.fa-dice-d6:before{content:"\f6d1"}.fa-restroom:before{content:"\f7bd"}.fa-j:before{content:"\4a"}.fa-users-viewfinder:before{content:"\e595"}.fa-file-video:before{content:"\f1c8"}.fa-external-link-alt:before,.fa-up-right-from-square:before{content:"\f35d"}.fa-table-cells:before,.fa-th:before{content:"\f00a"}.fa-file-pdf:before{content:"\f1c1"}.fa-bible:before,.fa-book-bible:before{content:"\f647"}.fa-o:before{content:"\4f"}.fa-medkit:before,.fa-suitcase-medical:before{content:"\f0fa"}.fa-user-secret:before{content:"\f21b"}.fa-otter:before{content:"\f700"}.fa-female:before,.fa-person-dress:before{content:"\f182"}.fa-comment-dollar:before{content:"\f651"}.fa-briefcase-clock:before,.fa-business-time:before{content:"\f64a"}.fa-table-cells-large:before,.fa-th-large:before{content:"\f009"}.fa-book-tanakh:before,.fa-tanakh:before{content:"\f827"}.fa-phone-volume:before,.fa-volume-control-phone:before{content:"\f2a0"}.fa-hat-cowboy-side:before{content:"\f8c1"}.fa-clipboard-user:before{content:"\f7f3"}.fa-child:before{content:"\f1ae"}.fa-lira-sign:before{content:"\f195"}.fa-satellite:before{content:"\f7bf"}.fa-plane-lock:before{content:"\e558"}.fa-tag:before{content:"\f02b"}.fa-comment:before{content:"\f075"}.fa-birthday-cake:before,.fa-cake-candles:before,.fa-cake:before{content:"\f1fd"}.fa-envelope:before{content:"\f0e0"}.fa-angle-double-up:before,.fa-angles-up:before{content:"\f102"}.fa-paperclip:before{content:"\f0c6"}.fa-arrow-right-to-city:before{content:"\e4b3"}.fa-ribbon:before{content:"\f4d6"}.fa-lungs:before{content:"\f604"}.fa-arrow-up-9-1:before,.fa-sort-numeric-up-alt:before{content:"\f887"}.fa-litecoin-sign:before{content:"\e1d3"}.fa-border-none:before{content:"\f850"}.fa-circle-nodes:before{content:"\e4e2"}.fa-parachute-box:before{content:"\f4cd"}.fa-indent:before{content:"\f03c"}.fa-truck-field-un:before{content:"\e58e"}.fa-hourglass-empty:before,.fa-hourglass:before{content:"\f254"}.fa-mountain:before{content:"\f6fc"}.fa-user-doctor:before,.fa-user-md:before{content:"\f0f0"}.fa-circle-info:before,.fa-info-circle:before{content:"\f05a"}.fa-cloud-meatball:before{content:"\f73b"}.fa-camera-alt:before,.fa-camera:before{content:"\f030"}.fa-square-virus:before{content:"\e578"}.fa-meteor:before{content:"\f753"}.fa-car-on:before{content:"\e4dd"}.fa-sleigh:before{content:"\f7cc"}.fa-arrow-down-1-9:before,.fa-sort-numeric-asc:before,.fa-sort-numeric-down:before{content:"\f162"}.fa-hand-holding-droplet:before,.fa-hand-holding-water:before{content:"\f4c1"}.fa-water:before{content:"\f773"}.fa-calendar-check:before{content:"\f274"}.fa-braille:before{content:"\f2a1"}.fa-prescription-bottle-alt:before,.fa-prescription-bottle-medical:before{content:"\f486"}.fa-landmark:before{content:"\f66f"}.fa-truck:before{content:"\f0d1"}.fa-crosshairs:before{content:"\f05b"}.fa-person-cane:before{content:"\e53c"}.fa-tent:before{content:"\e57d"}.fa-vest-patches:before{content:"\e086"}.fa-check-double:before{content:"\f560"}.fa-arrow-down-a-z:before,.fa-sort-alpha-asc:before,.fa-sort-alpha-down:before{content:"\f15d"}.fa-money-bill-wheat:before{content:"\e52a"}.fa-cookie:before{content:"\f563"}.fa-arrow-left-rotate:before,.fa-arrow-rotate-back:before,.fa-arrow-rotate-backward:before,.fa-arrow-rotate-left:before,.fa-undo:before{content:"\f0e2"}.fa-hard-drive:before,.fa-hdd:before{content:"\f0a0"}.fa-face-grin-squint-tears:before,.fa-grin-squint-tears:before{content:"\f586"}.fa-dumbbell:before{content:"\f44b"}.fa-list-alt:before,.fa-rectangle-list:before{content:"\f022"}.fa-tarp-droplet:before{content:"\e57c"}.fa-house-medical-circle-check:before{content:"\e511"}.fa-person-skiing-nordic:before,.fa-skiing-nordic:before{content:"\f7ca"}.fa-calendar-plus:before{content:"\f271"}.fa-plane-arrival:before{content:"\f5af"}.fa-arrow-alt-circle-left:before,.fa-circle-left:before{content:"\f359"}.fa-subway:before,.fa-train-subway:before{content:"\f239"}.fa-chart-gantt:before{content:"\e0e4"}.fa-indian-rupee-sign:before,.fa-indian-rupee:before,.fa-inr:before{content:"\e1bc"}.fa-crop-alt:before,.fa-crop-simple:before{content:"\f565"}.fa-money-bill-1:before,.fa-money-bill-alt:before{content:"\f3d1"}.fa-left-long:before,.fa-long-arrow-alt-left:before{content:"\f30a"}.fa-dna:before{content:"\f471"}.fa-virus-slash:before{content:"\e075"}.fa-minus:before,.fa-subtract:before{content:"\f068"}.fa-chess:before{content:"\f439"}.fa-arrow-left-long:before,.fa-long-arrow-left:before{content:"\f177"}.fa-plug-circle-check:before{content:"\e55c"}.fa-street-view:before{content:"\f21d"}.fa-franc-sign:before{content:"\e18f"}.fa-volume-off:before{content:"\f026"}.fa-american-sign-language-interpreting:before,.fa-asl-interpreting:before,.fa-hands-american-sign-language-interpreting:before,.fa-hands-asl-interpreting:before{content:"\f2a3"}.fa-cog:before,.fa-gear:before{content:"\f013"}.fa-droplet-slash:before,.fa-tint-slash:before{content:"\f5c7"}.fa-mosque:before{content:"\f678"}.fa-mosquito:before{content:"\e52b"}.fa-star-of-david:before{content:"\f69a"}.fa-person-military-rifle:before{content:"\e54b"}.fa-cart-shopping:before,.fa-shopping-cart:before{content:"\f07a"}.fa-vials:before{content:"\f493"}.fa-plug-circle-plus:before{content:"\e55f"}.fa-place-of-worship:before{content:"\f67f"}.fa-grip-vertical:before{content:"\f58e"}.fa-arrow-turn-up:before,.fa-level-up:before{content:"\f148"}.fa-u:before{content:"\55"}.fa-square-root-alt:before,.fa-square-root-variable:before{content:"\f698"}.fa-clock-four:before,.fa-clock:before{content:"\f017"}.fa-backward-step:before,.fa-step-backward:before{content:"\f048"}.fa-pallet:before{content:"\f482"}.fa-faucet:before{content:"\e005"}.fa-baseball-bat-ball:before{content:"\f432"}.fa-s:before{content:"\53"}.fa-timeline:before{content:"\e29c"}.fa-keyboard:before{content:"\f11c"}.fa-caret-down:before{content:"\f0d7"}.fa-clinic-medical:before,.fa-house-chimney-medical:before{content:"\f7f2"}.fa-temperature-3:before,.fa-temperature-three-quarters:before,.fa-thermometer-3:before,.fa-thermometer-three-quarters:before{content:"\f2c8"}.fa-mobile-android-alt:before,.fa-mobile-screen:before{content:"\f3cf"}.fa-plane-up:before{content:"\e22d"}.fa-piggy-bank:before{content:"\f4d3"}.fa-battery-3:before,.fa-battery-half:before{content:"\f242"}.fa-mountain-city:before{content:"\e52e"}.fa-coins:before{content:"\f51e"}.fa-khanda:before{content:"\f66d"}.fa-sliders-h:before,.fa-sliders:before{content:"\f1de"}.fa-folder-tree:before{content:"\f802"}.fa-network-wired:before{content:"\f6ff"}.fa-map-pin:before{content:"\f276"}.fa-hamsa:before{content:"\f665"}.fa-cent-sign:before{content:"\e3f5"}.fa-flask:before{content:"\f0c3"}.fa-person-pregnant:before{content:"\e31e"}.fa-wand-sparkles:before{content:"\f72b"}.fa-ellipsis-v:before,.fa-ellipsis-vertical:before{content:"\f142"}.fa-ticket:before{content:"\f145"}.fa-power-off:before{content:"\f011"}.fa-long-arrow-alt-right:before,.fa-right-long:before{content:"\f30b"}.fa-flag-usa:before{content:"\f74d"}.fa-laptop-file:before{content:"\e51d"}.fa-teletype:before,.fa-tty:before{content:"\f1e4"}.fa-diagram-next:before{content:"\e476"}.fa-person-rifle:before{content:"\e54e"}.fa-house-medical-circle-exclamation:before{content:"\e512"}.fa-closed-captioning:before{content:"\f20a"}.fa-hiking:before,.fa-person-hiking:before{content:"\f6ec"}.fa-venus-double:before{content:"\f226"}.fa-images:before{content:"\f302"}.fa-calculator:before{content:"\f1ec"}.fa-people-pulling:before{content:"\e535"}.fa-n:before{content:"\4e"}.fa-cable-car:before,.fa-tram:before{content:"\f7da"}.fa-cloud-rain:before{content:"\f73d"}.fa-building-circle-xmark:before{content:"\e4d4"}.fa-ship:before{content:"\f21a"}.fa-arrows-down-to-line:before{content:"\e4b8"}.fa-download:before{content:"\f019"}.fa-face-grin:before,.fa-grin:before{content:"\f580"}.fa-backspace:before,.fa-delete-left:before{content:"\f55a"}.fa-eye-dropper-empty:before,.fa-eye-dropper:before,.fa-eyedropper:before{content:"\f1fb"}.fa-file-circle-check:before{content:"\e5a0"}.fa-forward:before{content:"\f04e"}.fa-mobile-android:before,.fa-mobile-phone:before,.fa-mobile:before{content:"\f3ce"}.fa-face-meh:before,.fa-meh:before{content:"\f11a"}.fa-align-center:before{content:"\f037"}.fa-book-dead:before,.fa-book-skull:before{content:"\f6b7"}.fa-drivers-license:before,.fa-id-card:before{content:"\f2c2"}.fa-dedent:before,.fa-outdent:before{content:"\f03b"}.fa-heart-circle-exclamation:before{content:"\e4fe"}.fa-home-alt:before,.fa-home-lg-alt:before,.fa-home:before,.fa-house:before{content:"\f015"}.fa-calendar-week:before{content:"\f784"}.fa-laptop-medical:before{content:"\f812"}.fa-b:before{content:"\42"}.fa-file-medical:before{content:"\f477"}.fa-dice-one:before{content:"\f525"}.fa-kiwi-bird:before{content:"\f535"}.fa-arrow-right-arrow-left:before,.fa-exchange:before{content:"\f0ec"}.fa-redo-alt:before,.fa-rotate-forward:before,.fa-rotate-right:before{content:"\f2f9"}.fa-cutlery:before,.fa-utensils:before{content:"\f2e7"}.fa-arrow-up-wide-short:before,.fa-sort-amount-up:before{content:"\f161"}.fa-mill-sign:before{content:"\e1ed"}.fa-bowl-rice:before{content:"\e2eb"}.fa-skull:before{content:"\f54c"}.fa-broadcast-tower:before,.fa-tower-broadcast:before{content:"\f519"}.fa-truck-pickup:before{content:"\f63c"}.fa-long-arrow-alt-up:before,.fa-up-long:before{content:"\f30c"}.fa-stop:before{content:"\f04d"}.fa-code-merge:before{content:"\f387"}.fa-upload:before{content:"\f093"}.fa-hurricane:before{content:"\f751"}.fa-mound:before{content:"\e52d"}.fa-toilet-portable:before{content:"\e583"}.fa-compact-disc:before{content:"\f51f"}.fa-file-arrow-down:before,.fa-file-download:before{content:"\f56d"}.fa-caravan:before{content:"\f8ff"}.fa-shield-cat:before{content:"\e572"}.fa-bolt:before,.fa-zap:before{content:"\f0e7"}.fa-glass-water:before{content:"\e4f4"}.fa-oil-well:before{content:"\e532"}.fa-vault:before{content:"\e2c5"}.fa-mars:before{content:"\f222"}.fa-toilet:before{content:"\f7d8"}.fa-plane-circle-xmark:before{content:"\e557"}.fa-cny:before,.fa-jpy:before,.fa-rmb:before,.fa-yen-sign:before,.fa-yen:before{content:"\f157"}.fa-rouble:before,.fa-rub:before,.fa-ruble-sign:before,.fa-ruble:before{content:"\f158"}.fa-sun:before{content:"\f185"}.fa-guitar:before{content:"\f7a6"}.fa-face-laugh-wink:before,.fa-laugh-wink:before{content:"\f59c"}.fa-horse-head:before{content:"\f7ab"}.fa-bore-hole:before{content:"\e4c3"}.fa-industry:before{content:"\f275"}.fa-arrow-alt-circle-down:before,.fa-circle-down:before{content:"\f358"}.fa-arrows-turn-to-dots:before{content:"\e4c1"}.fa-florin-sign:before{content:"\e184"}.fa-arrow-down-short-wide:before,.fa-sort-amount-desc:before,.fa-sort-amount-down-alt:before{content:"\f884"}.fa-less-than:before{content:"\3c"}.fa-angle-down:before{content:"\f107"}.fa-car-tunnel:before{content:"\e4de"}.fa-head-side-cough:before{content:"\e061"}.fa-grip-lines:before{content:"\f7a4"}.fa-thumbs-down:before{content:"\f165"}.fa-user-lock:before{content:"\f502"}.fa-arrow-right-long:before,.fa-long-arrow-right:before{content:"\f178"}.fa-anchor-circle-xmark:before{content:"\e4ac"}.fa-ellipsis-h:before,.fa-ellipsis:before{content:"\f141"}.fa-chess-pawn:before{content:"\f443"}.fa-first-aid:before,.fa-kit-medical:before{content:"\f479"}.fa-person-through-window:before{content:"\e5a9"}.fa-toolbox:before{content:"\f552"}.fa-hands-holding-circle:before{content:"\e4fb"}.fa-bug:before{content:"\f188"}.fa-credit-card-alt:before,.fa-credit-card:before{content:"\f09d"}.fa-automobile:before,.fa-car:before{content:"\f1b9"}.fa-hand-holding-hand:before{content:"\e4f7"}.fa-book-open-reader:before,.fa-book-reader:before{content:"\f5da"}.fa-mountain-sun:before{content:"\e52f"}.fa-arrows-left-right-to-line:before{content:"\e4ba"}.fa-dice-d20:before{content:"\f6cf"}.fa-truck-droplet:before{content:"\e58c"}.fa-file-circle-xmark:before{content:"\e5a1"}.fa-temperature-arrow-up:before,.fa-temperature-up:before{content:"\e040"}.fa-medal:before{content:"\f5a2"}.fa-bed:before{content:"\f236"}.fa-h-square:before,.fa-square-h:before{content:"\f0fd"}.fa-podcast:before{content:"\f2ce"}.fa-temperature-4:before,.fa-temperature-full:before,.fa-thermometer-4:before,.fa-thermometer-full:before{content:"\f2c7"}.fa-bell:before{content:"\f0f3"}.fa-superscript:before{content:"\f12b"}.fa-plug-circle-xmark:before{content:"\e560"}.fa-star-of-life:before{content:"\f621"}.fa-phone-slash:before{content:"\f3dd"}.fa-paint-roller:before{content:"\f5aa"}.fa-hands-helping:before,.fa-handshake-angle:before{content:"\f4c4"}.fa-location-dot:before,.fa-map-marker-alt:before{content:"\f3c5"}.fa-file:before{content:"\f15b"}.fa-greater-than:before{content:"\3e"}.fa-person-swimming:before,.fa-swimmer:before{content:"\f5c4"}.fa-arrow-down:before{content:"\f063"}.fa-droplet:before,.fa-tint:before{content:"\f043"}.fa-eraser:before{content:"\f12d"}.fa-earth-america:before,.fa-earth-americas:before,.fa-earth:before,.fa-globe-americas:before{content:"\f57d"}.fa-person-burst:before{content:"\e53b"}.fa-dove:before{content:"\f4ba"}.fa-battery-0:before,.fa-battery-empty:before{content:"\f244"}.fa-socks:before{content:"\f696"}.fa-inbox:before{content:"\f01c"}.fa-section:before{content:"\e447"}.fa-gauge-high:before,.fa-tachometer-alt-fast:before,.fa-tachometer-alt:before{content:"\f625"}.fa-envelope-open-text:before{content:"\f658"}.fa-hospital-alt:before,.fa-hospital-wide:before,.fa-hospital:before{content:"\f0f8"}.fa-wine-bottle:before{content:"\f72f"}.fa-chess-rook:before{content:"\f447"}.fa-bars-staggered:before,.fa-reorder:before,.fa-stream:before{content:"\f550"}.fa-dharmachakra:before{content:"\f655"}.fa-hotdog:before{content:"\f80f"}.fa-blind:before,.fa-person-walking-with-cane:before{content:"\f29d"}.fa-drum:before{content:"\f569"}.fa-ice-cream:before{content:"\f810"}.fa-heart-circle-bolt:before{content:"\e4fc"}.fa-fax:before{content:"\f1ac"}.fa-paragraph:before{content:"\f1dd"}.fa-check-to-slot:before,.fa-vote-yea:before{content:"\f772"}.fa-star-half:before{content:"\f089"}.fa-boxes-alt:before,.fa-boxes-stacked:before,.fa-boxes:before{content:"\f468"}.fa-chain:before,.fa-link:before{content:"\f0c1"}.fa-assistive-listening-systems:before,.fa-ear-listen:before{content:"\f2a2"}.fa-tree-city:before{content:"\e587"}.fa-play:before{content:"\f04b"}.fa-font:before{content:"\f031"}.fa-rupiah-sign:before{content:"\e23d"}.fa-magnifying-glass:before,.fa-search:before{content:"\f002"}.fa-ping-pong-paddle-ball:before,.fa-table-tennis-paddle-ball:before,.fa-table-tennis:before{content:"\f45d"}.fa-diagnoses:before,.fa-person-dots-from-line:before{content:"\f470"}.fa-trash-can-arrow-up:before,.fa-trash-restore-alt:before{content:"\f82a"}.fa-naira-sign:before{content:"\e1f6"}.fa-cart-arrow-down:before{content:"\f218"}.fa-walkie-talkie:before{content:"\f8ef"}.fa-file-edit:before,.fa-file-pen:before{content:"\f31c"}.fa-receipt:before{content:"\f543"}.fa-pen-square:before,.fa-pencil-square:before,.fa-square-pen:before{content:"\f14b"}.fa-suitcase-rolling:before{content:"\f5c1"}.fa-person-circle-exclamation:before{content:"\e53f"}.fa-chevron-down:before{content:"\f078"}.fa-battery-5:before,.fa-battery-full:before,.fa-battery:before{content:"\f240"}.fa-skull-crossbones:before{content:"\f714"}.fa-code-compare:before{content:"\e13a"}.fa-list-dots:before,.fa-list-ul:before{content:"\f0ca"}.fa-school-lock:before{content:"\e56f"}.fa-tower-cell:before{content:"\e585"}.fa-down-long:before,.fa-long-arrow-alt-down:before{content:"\f309"}.fa-ranking-star:before{content:"\e561"}.fa-chess-king:before{content:"\f43f"}.fa-person-harassing:before{content:"\e549"}.fa-brazilian-real-sign:before{content:"\e46c"}.fa-landmark-alt:before,.fa-landmark-dome:before{content:"\f752"}.fa-arrow-up:before{content:"\f062"}.fa-television:before,.fa-tv-alt:before,.fa-tv:before{content:"\f26c"}.fa-shrimp:before{content:"\e448"}.fa-list-check:before,.fa-tasks:before{content:"\f0ae"}.fa-jug-detergent:before{content:"\e519"}.fa-circle-user:before,.fa-user-circle:before{content:"\f2bd"}.fa-user-shield:before{content:"\f505"}.fa-wind:before{content:"\f72e"}.fa-car-burst:before,.fa-car-crash:before{content:"\f5e1"}.fa-y:before{content:"\59"}.fa-person-snowboarding:before,.fa-snowboarding:before{content:"\f7ce"}.fa-shipping-fast:before,.fa-truck-fast:before{content:"\f48b"}.fa-fish:before{content:"\f578"}.fa-user-graduate:before{content:"\f501"}.fa-adjust:before,.fa-circle-half-stroke:before{content:"\f042"}.fa-clapperboard:before{content:"\e131"}.fa-circle-radiation:before,.fa-radiation-alt:before{content:"\f7ba"}.fa-baseball-ball:before,.fa-baseball:before{content:"\f433"}.fa-jet-fighter-up:before{content:"\e518"}.fa-diagram-project:before,.fa-project-diagram:before{content:"\f542"}.fa-copy:before{content:"\f0c5"}.fa-volume-mute:before,.fa-volume-times:before,.fa-volume-xmark:before{content:"\f6a9"}.fa-hand-sparkles:before{content:"\e05d"}.fa-grip-horizontal:before,.fa-grip:before{content:"\f58d"}.fa-share-from-square:before,.fa-share-square:before{content:"\f14d"}.fa-child-combatant:before,.fa-child-rifle:before{content:"\e4e0"}.fa-gun:before{content:"\e19b"}.fa-phone-square:before,.fa-square-phone:before{content:"\f098"}.fa-add:before,.fa-plus:before{content:"\2b"}.fa-expand:before{content:"\f065"}.fa-computer:before{content:"\e4e5"}.fa-close:before,.fa-multiply:before,.fa-remove:before,.fa-times:before,.fa-xmark:before{content:"\f00d"}.fa-arrows-up-down-left-right:before,.fa-arrows:before{content:"\f047"}.fa-chalkboard-teacher:before,.fa-chalkboard-user:before{content:"\f51c"}.fa-peso-sign:before{content:"\e222"}.fa-building-shield:before{content:"\e4d8"}.fa-baby:before{content:"\f77c"}.fa-users-line:before{content:"\e592"}.fa-quote-left-alt:before,.fa-quote-left:before{content:"\f10d"}.fa-tractor:before{content:"\f722"}.fa-trash-arrow-up:before,.fa-trash-restore:before{content:"\f829"}.fa-arrow-down-up-lock:before{content:"\e4b0"}.fa-lines-leaning:before{content:"\e51e"}.fa-ruler-combined:before{content:"\f546"}.fa-copyright:before{content:"\f1f9"}.fa-equals:before{content:"\3d"}.fa-blender:before{content:"\f517"}.fa-teeth:before{content:"\f62e"}.fa-ils:before,.fa-shekel-sign:before,.fa-shekel:before,.fa-sheqel-sign:before,.fa-sheqel:before{content:"\f20b"}.fa-map:before{content:"\f279"}.fa-rocket:before{content:"\f135"}.fa-photo-film:before,.fa-photo-video:before{content:"\f87c"}.fa-folder-minus:before{content:"\f65d"}.fa-store:before{content:"\f54e"}.fa-arrow-trend-up:before{content:"\e098"}.fa-plug-circle-minus:before{content:"\e55e"}.fa-sign-hanging:before,.fa-sign:before{content:"\f4d9"}.fa-bezier-curve:before{content:"\f55b"}.fa-bell-slash:before{content:"\f1f6"}.fa-tablet-android:before,.fa-tablet:before{content:"\f3fb"}.fa-school-flag:before{content:"\e56e"}.fa-fill:before{content:"\f575"}.fa-angle-up:before{content:"\f106"}.fa-drumstick-bite:before{content:"\f6d7"}.fa-holly-berry:before{content:"\f7aa"}.fa-chevron-left:before{content:"\f053"}.fa-bacteria:before{content:"\e059"}.fa-hand-lizard:before{content:"\f258"}.fa-notdef:before{content:"\e1fe"}.fa-disease:before{content:"\f7fa"}.fa-briefcase-medical:before{content:"\f469"}.fa-genderless:before{content:"\f22d"}.fa-chevron-right:before{content:"\f054"}.fa-retweet:before{content:"\f079"}.fa-car-alt:before,.fa-car-rear:before{content:"\f5de"}.fa-pump-soap:before{content:"\e06b"}.fa-video-slash:before{content:"\f4e2"}.fa-battery-2:before,.fa-battery-quarter:before{content:"\f243"}.fa-radio:before{content:"\f8d7"}.fa-baby-carriage:before,.fa-carriage-baby:before{content:"\f77d"}.fa-traffic-light:before{content:"\f637"}.fa-thermometer:before{content:"\f491"}.fa-vr-cardboard:before{content:"\f729"}.fa-hand-middle-finger:before{content:"\f806"}.fa-percent:before,.fa-percentage:before{content:"\25"}.fa-truck-moving:before{content:"\f4df"}.fa-glass-water-droplet:before{content:"\e4f5"}.fa-display:before{content:"\e163"}.fa-face-smile:before,.fa-smile:before{content:"\f118"}.fa-thumb-tack:before,.fa-thumbtack:before{content:"\f08d"}.fa-trophy:before{content:"\f091"}.fa-person-praying:before,.fa-pray:before{content:"\f683"}.fa-hammer:before{content:"\f6e3"}.fa-hand-peace:before{content:"\f25b"}.fa-rotate:before,.fa-sync-alt:before{content:"\f2f1"}.fa-spinner:before{content:"\f110"}.fa-robot:before{content:"\f544"}.fa-peace:before{content:"\f67c"}.fa-cogs:before,.fa-gears:before{content:"\f085"}.fa-warehouse:before{content:"\f494"}.fa-arrow-up-right-dots:before{content:"\e4b7"}.fa-splotch:before{content:"\f5bc"}.fa-face-grin-hearts:before,.fa-grin-hearts:before{content:"\f584"}.fa-dice-four:before{content:"\f524"}.fa-sim-card:before{content:"\f7c4"}.fa-transgender-alt:before,.fa-transgender:before{content:"\f225"}.fa-mercury:before{content:"\f223"}.fa-arrow-turn-down:before,.fa-level-down:before{content:"\f149"}.fa-person-falling-burst:before{content:"\e547"}.fa-award:before{content:"\f559"}.fa-ticket-alt:before,.fa-ticket-simple:before{content:"\f3ff"}.fa-building:before{content:"\f1ad"}.fa-angle-double-left:before,.fa-angles-left:before{content:"\f100"}.fa-qrcode:before{content:"\f029"}.fa-clock-rotate-left:before,.fa-history:before{content:"\f1da"}.fa-face-grin-beam-sweat:before,.fa-grin-beam-sweat:before{content:"\f583"}.fa-arrow-right-from-file:before,.fa-file-export:before{content:"\f56e"}.fa-shield-blank:before,.fa-shield:before{content:"\f132"}.fa-arrow-up-short-wide:before,.fa-sort-amount-up-alt:before{content:"\f885"}.fa-house-medical:before{content:"\e3b2"}.fa-golf-ball-tee:before,.fa-golf-ball:before{content:"\f450"}.fa-chevron-circle-left:before,.fa-circle-chevron-left:before{content:"\f137"}.fa-house-chimney-window:before{content:"\e00d"}.fa-pen-nib:before{content:"\f5ad"}.fa-tent-arrow-turn-left:before{content:"\e580"}.fa-tents:before{content:"\e582"}.fa-magic:before,.fa-wand-magic:before{content:"\f0d0"}.fa-dog:before{content:"\f6d3"}.fa-carrot:before{content:"\f787"}.fa-moon:before{content:"\f186"}.fa-wine-glass-alt:before,.fa-wine-glass-empty:before{content:"\f5ce"}.fa-cheese:before{content:"\f7ef"}.fa-yin-yang:before{content:"\f6ad"}.fa-music:before{content:"\f001"}.fa-code-commit:before{content:"\f386"}.fa-temperature-low:before{content:"\f76b"}.fa-biking:before,.fa-person-biking:before{content:"\f84a"}.fa-broom:before{content:"\f51a"}.fa-shield-heart:before{content:"\e574"}.fa-gopuram:before{content:"\f664"}.fa-earth-oceania:before,.fa-globe-oceania:before{content:"\e47b"}.fa-square-xmark:before,.fa-times-square:before,.fa-xmark-square:before{content:"\f2d3"}.fa-hashtag:before{content:"\23"}.fa-expand-alt:before,.fa-up-right-and-down-left-from-center:before{content:"\f424"}.fa-oil-can:before{content:"\f613"}.fa-t:before{content:"\54"}.fa-hippo:before{content:"\f6ed"}.fa-chart-column:before{content:"\e0e3"}.fa-infinity:before{content:"\f534"}.fa-vial-circle-check:before{content:"\e596"}.fa-person-arrow-down-to-line:before{content:"\e538"}.fa-voicemail:before{content:"\f897"}.fa-fan:before{content:"\f863"}.fa-person-walking-luggage:before{content:"\e554"}.fa-arrows-alt-v:before,.fa-up-down:before{content:"\f338"}.fa-cloud-moon-rain:before{content:"\f73c"}.fa-calendar:before{content:"\f133"}.fa-trailer:before{content:"\e041"}.fa-bahai:before,.fa-haykal:before{content:"\f666"}.fa-sd-card:before{content:"\f7c2"}.fa-dragon:before{content:"\f6d5"}.fa-shoe-prints:before{content:"\f54b"}.fa-circle-plus:before,.fa-plus-circle:before{content:"\f055"}.fa-face-grin-tongue-wink:before,.fa-grin-tongue-wink:before{content:"\f58b"}.fa-hand-holding:before{content:"\f4bd"}.fa-plug-circle-exclamation:before{content:"\e55d"}.fa-chain-broken:before,.fa-chain-slash:before,.fa-link-slash:before,.fa-unlink:before{content:"\f127"}.fa-clone:before{content:"\f24d"}.fa-person-walking-arrow-loop-left:before{content:"\e551"}.fa-arrow-up-z-a:before,.fa-sort-alpha-up-alt:before{content:"\f882"}.fa-fire-alt:before,.fa-fire-flame-curved:before{content:"\f7e4"}.fa-tornado:before{content:"\f76f"}.fa-file-circle-plus:before{content:"\e494"}.fa-book-quran:before,.fa-quran:before{content:"\f687"}.fa-anchor:before{content:"\f13d"}.fa-border-all:before{content:"\f84c"}.fa-angry:before,.fa-face-angry:before{content:"\f556"}.fa-cookie-bite:before{content:"\f564"}.fa-arrow-trend-down:before{content:"\e097"}.fa-feed:before,.fa-rss:before{content:"\f09e"}.fa-draw-polygon:before{content:"\f5ee"}.fa-balance-scale:before,.fa-scale-balanced:before{content:"\f24e"}.fa-gauge-simple-high:before,.fa-tachometer-fast:before,.fa-tachometer:before{content:"\f62a"}.fa-shower:before{content:"\f2cc"}.fa-desktop-alt:before,.fa-desktop:before{content:"\f390"}.fa-m:before{content:"\4d"}.fa-table-list:before,.fa-th-list:before{content:"\f00b"}.fa-comment-sms:before,.fa-sms:before{content:"\f7cd"}.fa-book:before{content:"\f02d"}.fa-user-plus:before{content:"\f234"}.fa-check:before{content:"\f00c"}.fa-battery-4:before,.fa-battery-three-quarters:before{content:"\f241"}.fa-house-circle-check:before{content:"\e509"}.fa-angle-left:before{content:"\f104"}.fa-diagram-successor:before{content:"\e47a"}.fa-truck-arrow-right:before{content:"\e58b"}.fa-arrows-split-up-and-left:before{content:"\e4bc"}.fa-fist-raised:before,.fa-hand-fist:before{content:"\f6de"}.fa-cloud-moon:before{content:"\f6c3"}.fa-briefcase:before{content:"\f0b1"}.fa-person-falling:before{content:"\e546"}.fa-image-portrait:before,.fa-portrait:before{content:"\f3e0"}.fa-user-tag:before{content:"\f507"}.fa-rug:before{content:"\e569"}.fa-earth-europe:before,.fa-globe-europe:before{content:"\f7a2"}.fa-cart-flatbed-suitcase:before,.fa-luggage-cart:before{content:"\f59d"}.fa-rectangle-times:before,.fa-rectangle-xmark:before,.fa-times-rectangle:before,.fa-window-close:before{content:"\f410"}.fa-baht-sign:before{content:"\e0ac"}.fa-book-open:before{content:"\f518"}.fa-book-journal-whills:before,.fa-journal-whills:before{content:"\f66a"}.fa-handcuffs:before{content:"\e4f8"}.fa-exclamation-triangle:before,.fa-triangle-exclamation:before,.fa-warning:before{content:"\f071"}.fa-database:before{content:"\f1c0"}.fa-arrow-turn-right:before,.fa-mail-forward:before,.fa-share:before{content:"\f064"}.fa-bottle-droplet:before{content:"\e4c4"}.fa-mask-face:before{content:"\e1d7"}.fa-hill-rockslide:before{content:"\e508"}.fa-exchange-alt:before,.fa-right-left:before{content:"\f362"}.fa-paper-plane:before{content:"\f1d8"}.fa-road-circle-exclamation:before{content:"\e565"}.fa-dungeon:before{content:"\f6d9"}.fa-align-right:before{content:"\f038"}.fa-money-bill-1-wave:before,.fa-money-bill-wave-alt:before{content:"\f53b"}.fa-life-ring:before{content:"\f1cd"}.fa-hands:before,.fa-sign-language:before,.fa-signing:before{content:"\f2a7"}.fa-calendar-day:before{content:"\f783"}.fa-ladder-water:before,.fa-swimming-pool:before,.fa-water-ladder:before{content:"\f5c5"}.fa-arrows-up-down:before,.fa-arrows-v:before{content:"\f07d"}.fa-face-grimace:before,.fa-grimace:before{content:"\f57f"}.fa-wheelchair-alt:before,.fa-wheelchair-move:before{content:"\e2ce"}.fa-level-down-alt:before,.fa-turn-down:before{content:"\f3be"}.fa-person-walking-arrow-right:before{content:"\e552"}.fa-envelope-square:before,.fa-square-envelope:before{content:"\f199"}.fa-dice:before{content:"\f522"}.fa-bowling-ball:before{content:"\f436"}.fa-brain:before{content:"\f5dc"}.fa-band-aid:before,.fa-bandage:before{content:"\f462"}.fa-calendar-minus:before{content:"\f272"}.fa-circle-xmark:before,.fa-times-circle:before,.fa-xmark-circle:before{content:"\f057"}.fa-gifts:before{content:"\f79c"}.fa-hotel:before{content:"\f594"}.fa-earth-asia:before,.fa-globe-asia:before{content:"\f57e"}.fa-id-card-alt:before,.fa-id-card-clip:before{content:"\f47f"}.fa-magnifying-glass-plus:before,.fa-search-plus:before{content:"\f00e"}.fa-thumbs-up:before{content:"\f164"}.fa-user-clock:before{content:"\f4fd"}.fa-allergies:before,.fa-hand-dots:before{content:"\f461"}.fa-file-invoice:before{content:"\f570"}.fa-window-minimize:before{content:"\f2d1"}.fa-coffee:before,.fa-mug-saucer:before{content:"\f0f4"}.fa-brush:before{content:"\f55d"}.fa-mask:before{content:"\f6fa"}.fa-magnifying-glass-minus:before,.fa-search-minus:before{content:"\f010"}.fa-ruler-vertical:before{content:"\f548"}.fa-user-alt:before,.fa-user-large:before{content:"\f406"}.fa-train-tram:before{content:"\e5b4"}.fa-user-nurse:before{content:"\f82f"}.fa-syringe:before{content:"\f48e"}.fa-cloud-sun:before{content:"\f6c4"}.fa-stopwatch-20:before{content:"\e06f"}.fa-square-full:before{content:"\f45c"}.fa-magnet:before{content:"\f076"}.fa-jar:before{content:"\e516"}.fa-note-sticky:before,.fa-sticky-note:before{content:"\f249"}.fa-bug-slash:before{content:"\e490"}.fa-arrow-up-from-water-pump:before{content:"\e4b6"}.fa-bone:before{content:"\f5d7"}.fa-user-injured:before{content:"\f728"}.fa-face-sad-tear:before,.fa-sad-tear:before{content:"\f5b4"}.fa-plane:before{content:"\f072"}.fa-tent-arrows-down:before{content:"\e581"}.fa-exclamation:before{content:"\21"}.fa-arrows-spin:before{content:"\e4bb"}.fa-print:before{content:"\f02f"}.fa-try:before,.fa-turkish-lira-sign:before,.fa-turkish-lira:before{content:"\e2bb"}.fa-dollar-sign:before,.fa-dollar:before,.fa-usd:before{content:"\24"}.fa-x:before{content:"\58"}.fa-magnifying-glass-dollar:before,.fa-search-dollar:before{content:"\f688"}.fa-users-cog:before,.fa-users-gear:before{content:"\f509"}.fa-person-military-pointing:before{content:"\e54a"}.fa-bank:before,.fa-building-columns:before,.fa-institution:before,.fa-museum:before,.fa-university:before{content:"\f19c"}.fa-umbrella:before{content:"\f0e9"}.fa-trowel:before{content:"\e589"}.fa-d:before{content:"\44"}.fa-stapler:before{content:"\e5af"}.fa-masks-theater:before,.fa-theater-masks:before{content:"\f630"}.fa-kip-sign:before{content:"\e1c4"}.fa-hand-point-left:before{content:"\f0a5"}.fa-handshake-alt:before,.fa-handshake-simple:before{content:"\f4c6"}.fa-fighter-jet:before,.fa-jet-fighter:before{content:"\f0fb"}.fa-share-alt-square:before,.fa-square-share-nodes:before{content:"\f1e1"}.fa-barcode:before{content:"\f02a"}.fa-plus-minus:before{content:"\e43c"}.fa-video-camera:before,.fa-video:before{content:"\f03d"}.fa-graduation-cap:before,.fa-mortar-board:before{content:"\f19d"}.fa-hand-holding-medical:before{content:"\e05c"}.fa-person-circle-check:before{content:"\e53e"}.fa-level-up-alt:before,.fa-turn-up:before{content:"\f3bf"}
+.fa-sr-only,.fa-sr-only-focusable:not(:focus),.sr-only,.sr-only-focusable:not(:focus){position:absolute;width:1px;height:1px;padding:0;margin:-1px;overflow:hidden;clip:rect(0,0,0,0);white-space:nowrap;border-width:0}:host,:root{--fa-style-family-brands:"Font Awesome 6 Brands";--fa-font-brands:normal 400 1em/1 "Font Awesome 6 Brands"}@font-face{font-family:"Font Awesome 6 Brands";font-style:normal;font-weight:400;font-display:block;src: url("../webfonts/fa-brands-400.woff2") format("woff2"), url("../webfonts/fa-brands-400.ttf") format("truetype"); }.fa-brands,.fab{font-weight:400}.fa-monero:before{content:"\f3d0"}.fa-hooli:before{content:"\f427"}.fa-yelp:before{content:"\f1e9"}.fa-cc-visa:before{content:"\f1f0"}.fa-lastfm:before{content:"\f202"}.fa-shopware:before{content:"\f5b5"}.fa-creative-commons-nc:before{content:"\f4e8"}.fa-aws:before{content:"\f375"}.fa-redhat:before{content:"\f7bc"}.fa-yoast:before{content:"\f2b1"}.fa-cloudflare:before{content:"\e07d"}.fa-ups:before{content:"\f7e0"}.fa-wpexplorer:before{content:"\f2de"}.fa-dyalog:before{content:"\f399"}.fa-bity:before{content:"\f37a"}.fa-stackpath:before{content:"\f842"}.fa-buysellads:before{content:"\f20d"}.fa-first-order:before{content:"\f2b0"}.fa-modx:before{content:"\f285"}.fa-guilded:before{content:"\e07e"}.fa-vnv:before{content:"\f40b"}.fa-js-square:before,.fa-square-js:before{content:"\f3b9"}.fa-microsoft:before{content:"\f3ca"}.fa-qq:before{content:"\f1d6"}.fa-orcid:before{content:"\f8d2"}.fa-java:before{content:"\f4e4"}.fa-invision:before{content:"\f7b0"}.fa-creative-commons-pd-alt:before{content:"\f4ed"}.fa-centercode:before{content:"\f380"}.fa-glide-g:before{content:"\f2a6"}.fa-drupal:before{content:"\f1a9"}.fa-hire-a-helper:before{content:"\f3b0"}.fa-creative-commons-by:before{content:"\f4e7"}.fa-unity:before{content:"\e049"}.fa-whmcs:before{content:"\f40d"}.fa-rocketchat:before{content:"\f3e8"}.fa-vk:before{content:"\f189"}.fa-untappd:before{content:"\f405"}.fa-mailchimp:before{content:"\f59e"}.fa-css3-alt:before{content:"\f38b"}.fa-reddit-square:before,.fa-square-reddit:before{content:"\f1a2"}.fa-vimeo-v:before{content:"\f27d"}.fa-contao:before{content:"\f26d"}.fa-square-font-awesome:before{content:"\e5ad"}.fa-deskpro:before{content:"\f38f"}.fa-sistrix:before{content:"\f3ee"}.fa-instagram-square:before,.fa-square-instagram:before{content:"\e055"}.fa-battle-net:before{content:"\f835"}.fa-the-red-yeti:before{content:"\f69d"}.fa-hacker-news-square:before,.fa-square-hacker-news:before{content:"\f3af"}.fa-edge:before{content:"\f282"}.fa-threads:before{content:"\e618"}.fa-napster:before{content:"\f3d2"}.fa-snapchat-square:before,.fa-square-snapchat:before{content:"\f2ad"}.fa-google-plus-g:before{content:"\f0d5"}.fa-artstation:before{content:"\f77a"}.fa-markdown:before{content:"\f60f"}.fa-sourcetree:before{content:"\f7d3"}.fa-google-plus:before{content:"\f2b3"}.fa-diaspora:before{content:"\f791"}.fa-foursquare:before{content:"\f180"}.fa-stack-overflow:before{content:"\f16c"}.fa-github-alt:before{content:"\f113"}.fa-phoenix-squadron:before{content:"\f511"}.fa-pagelines:before{content:"\f18c"}.fa-algolia:before{content:"\f36c"}.fa-red-river:before{content:"\f3e3"}.fa-creative-commons-sa:before{content:"\f4ef"}.fa-safari:before{content:"\f267"}.fa-google:before{content:"\f1a0"}.fa-font-awesome-alt:before,.fa-square-font-awesome-stroke:before{content:"\f35c"}.fa-atlassian:before{content:"\f77b"}.fa-linkedin-in:before{content:"\f0e1"}.fa-digital-ocean:before{content:"\f391"}.fa-nimblr:before{content:"\f5a8"}.fa-chromecast:before{content:"\f838"}.fa-evernote:before{content:"\f839"}.fa-hacker-news:before{content:"\f1d4"}.fa-creative-commons-sampling:before{content:"\f4f0"}.fa-adversal:before{content:"\f36a"}.fa-creative-commons:before{content:"\f25e"}.fa-watchman-monitoring:before{content:"\e087"}.fa-fonticons:before{content:"\f280"}.fa-weixin:before{content:"\f1d7"}.fa-shirtsinbulk:before{content:"\f214"}.fa-codepen:before{content:"\f1cb"}.fa-git-alt:before{content:"\f841"}.fa-lyft:before{content:"\f3c3"}.fa-rev:before{content:"\f5b2"}.fa-windows:before{content:"\f17a"}.fa-wizards-of-the-coast:before{content:"\f730"}.fa-square-viadeo:before,.fa-viadeo-square:before{content:"\f2aa"}.fa-meetup:before{content:"\f2e0"}.fa-centos:before{content:"\f789"}.fa-adn:before{content:"\f170"}.fa-cloudsmith:before{content:"\f384"}.fa-pied-piper-alt:before{content:"\f1a8"}.fa-dribbble-square:before,.fa-square-dribbble:before{content:"\f397"}.fa-codiepie:before{content:"\f284"}.fa-node:before{content:"\f419"}.fa-mix:before{content:"\f3cb"}.fa-steam:before{content:"\f1b6"}.fa-cc-apple-pay:before{content:"\f416"}.fa-scribd:before{content:"\f28a"}.fa-debian:before{content:"\e60b"}.fa-openid:before{content:"\f19b"}.fa-instalod:before{content:"\e081"}.fa-expeditedssl:before{content:"\f23e"}.fa-sellcast:before{content:"\f2da"}.fa-square-twitter:before,.fa-twitter-square:before{content:"\f081"}.fa-r-project:before{content:"\f4f7"}.fa-delicious:before{content:"\f1a5"}.fa-freebsd:before{content:"\f3a4"}.fa-vuejs:before{content:"\f41f"}.fa-accusoft:before{content:"\f369"}.fa-ioxhost:before{content:"\f208"}.fa-fonticons-fi:before{content:"\f3a2"}.fa-app-store:before{content:"\f36f"}.fa-cc-mastercard:before{content:"\f1f1"}.fa-itunes-note:before{content:"\f3b5"}.fa-golang:before{content:"\e40f"}.fa-kickstarter:before{content:"\f3bb"}.fa-grav:before{content:"\f2d6"}.fa-weibo:before{content:"\f18a"}.fa-uncharted:before{content:"\e084"}.fa-firstdraft:before{content:"\f3a1"}.fa-square-youtube:before,.fa-youtube-square:before{content:"\f431"}.fa-wikipedia-w:before{content:"\f266"}.fa-rendact:before,.fa-wpressr:before{content:"\f3e4"}.fa-angellist:before{content:"\f209"}.fa-galactic-republic:before{content:"\f50c"}.fa-nfc-directional:before{content:"\e530"}.fa-skype:before{content:"\f17e"}.fa-joget:before{content:"\f3b7"}.fa-fedora:before{content:"\f798"}.fa-stripe-s:before{content:"\f42a"}.fa-meta:before{content:"\e49b"}.fa-laravel:before{content:"\f3bd"}.fa-hotjar:before{content:"\f3b1"}.fa-bluetooth-b:before{content:"\f294"}.fa-sticker-mule:before{content:"\f3f7"}.fa-creative-commons-zero:before{content:"\f4f3"}.fa-hips:before{content:"\f452"}.fa-behance:before{content:"\f1b4"}.fa-reddit:before{content:"\f1a1"}.fa-discord:before{content:"\f392"}.fa-chrome:before{content:"\f268"}.fa-app-store-ios:before{content:"\f370"}.fa-cc-discover:before{content:"\f1f2"}.fa-wpbeginner:before{content:"\f297"}.fa-confluence:before{content:"\f78d"}.fa-mdb:before{content:"\f8ca"}.fa-dochub:before{content:"\f394"}.fa-accessible-icon:before{content:"\f368"}.fa-ebay:before{content:"\f4f4"}.fa-amazon:before{content:"\f270"}.fa-unsplash:before{content:"\e07c"}.fa-yarn:before{content:"\f7e3"}.fa-square-steam:before,.fa-steam-square:before{content:"\f1b7"}.fa-500px:before{content:"\f26e"}.fa-square-vimeo:before,.fa-vimeo-square:before{content:"\f194"}.fa-asymmetrik:before{content:"\f372"}.fa-font-awesome-flag:before,.fa-font-awesome-logo-full:before,.fa-font-awesome:before{content:"\f2b4"}.fa-gratipay:before{content:"\f184"}.fa-apple:before{content:"\f179"}.fa-hive:before{content:"\e07f"}.fa-gitkraken:before{content:"\f3a6"}.fa-keybase:before{content:"\f4f5"}.fa-apple-pay:before{content:"\f415"}.fa-padlet:before{content:"\e4a0"}.fa-amazon-pay:before{content:"\f42c"}.fa-github-square:before,.fa-square-github:before{content:"\f092"}.fa-stumbleupon:before{content:"\f1a4"}.fa-fedex:before{content:"\f797"}.fa-phoenix-framework:before{content:"\f3dc"}.fa-shopify:before{content:"\e057"}.fa-neos:before{content:"\f612"}.fa-square-threads:before{content:"\e619"}.fa-hackerrank:before{content:"\f5f7"}.fa-researchgate:before{content:"\f4f8"}.fa-swift:before{content:"\f8e1"}.fa-angular:before{content:"\f420"}.fa-speakap:before{content:"\f3f3"}.fa-angrycreative:before{content:"\f36e"}.fa-y-combinator:before{content:"\f23b"}.fa-empire:before{content:"\f1d1"}.fa-envira:before{content:"\f299"}.fa-gitlab-square:before,.fa-square-gitlab:before{content:"\e5ae"}.fa-studiovinari:before{content:"\f3f8"}.fa-pied-piper:before{content:"\f2ae"}.fa-wordpress:before{content:"\f19a"}.fa-product-hunt:before{content:"\f288"}.fa-firefox:before{content:"\f269"}.fa-linode:before{content:"\f2b8"}.fa-goodreads:before{content:"\f3a8"}.fa-odnoklassniki-square:before,.fa-square-odnoklassniki:before{content:"\f264"}.fa-jsfiddle:before{content:"\f1cc"}.fa-sith:before{content:"\f512"}.fa-themeisle:before{content:"\f2b2"}.fa-page4:before{content:"\f3d7"}.fa-hashnode:before{content:"\e499"}.fa-react:before{content:"\f41b"}.fa-cc-paypal:before{content:"\f1f4"}.fa-squarespace:before{content:"\f5be"}.fa-cc-stripe:before{content:"\f1f5"}.fa-creative-commons-share:before{content:"\f4f2"}.fa-bitcoin:before{content:"\f379"}.fa-keycdn:before{content:"\f3ba"}.fa-opera:before{content:"\f26a"}.fa-itch-io:before{content:"\f83a"}.fa-umbraco:before{content:"\f8e8"}.fa-galactic-senate:before{content:"\f50d"}.fa-ubuntu:before{content:"\f7df"}.fa-draft2digital:before{content:"\f396"}.fa-stripe:before{content:"\f429"}.fa-houzz:before{content:"\f27c"}.fa-gg:before{content:"\f260"}.fa-dhl:before{content:"\f790"}.fa-pinterest-square:before,.fa-square-pinterest:before{content:"\f0d3"}.fa-xing:before{content:"\f168"}.fa-blackberry:before{content:"\f37b"}.fa-creative-commons-pd:before{content:"\f4ec"}.fa-playstation:before{content:"\f3df"}.fa-quinscape:before{content:"\f459"}.fa-less:before{content:"\f41d"}.fa-blogger-b:before{content:"\f37d"}.fa-opencart:before{content:"\f23d"}.fa-vine:before{content:"\f1ca"}.fa-paypal:before{content:"\f1ed"}.fa-gitlab:before{content:"\f296"}.fa-typo3:before{content:"\f42b"}.fa-reddit-alien:before{content:"\f281"}.fa-yahoo:before{content:"\f19e"}.fa-dailymotion:before{content:"\e052"}.fa-affiliatetheme:before{content:"\f36b"}.fa-pied-piper-pp:before{content:"\f1a7"}.fa-bootstrap:before{content:"\f836"}.fa-odnoklassniki:before{content:"\f263"}.fa-nfc-symbol:before{content:"\e531"}.fa-ethereum:before{content:"\f42e"}.fa-speaker-deck:before{content:"\f83c"}.fa-creative-commons-nc-eu:before{content:"\f4e9"}.fa-patreon:before{content:"\f3d9"}.fa-avianex:before{content:"\f374"}.fa-ello:before{content:"\f5f1"}.fa-gofore:before{content:"\f3a7"}.fa-bimobject:before{content:"\f378"}.fa-facebook-f:before{content:"\f39e"}.fa-google-plus-square:before,.fa-square-google-plus:before{content:"\f0d4"}.fa-mandalorian:before{content:"\f50f"}.fa-first-order-alt:before{content:"\f50a"}.fa-osi:before{content:"\f41a"}.fa-google-wallet:before{content:"\f1ee"}.fa-d-and-d-beyond:before{content:"\f6ca"}.fa-periscope:before{content:"\f3da"}.fa-fulcrum:before{content:"\f50b"}.fa-cloudscale:before{content:"\f383"}.fa-forumbee:before{content:"\f211"}.fa-mizuni:before{content:"\f3cc"}.fa-schlix:before{content:"\f3ea"}.fa-square-xing:before,.fa-xing-square:before{content:"\f169"}.fa-bandcamp:before{content:"\f2d5"}.fa-wpforms:before{content:"\f298"}.fa-cloudversify:before{content:"\f385"}.fa-usps:before{content:"\f7e1"}.fa-megaport:before{content:"\f5a3"}.fa-magento:before{content:"\f3c4"}.fa-spotify:before{content:"\f1bc"}.fa-optin-monster:before{content:"\f23c"}.fa-fly:before{content:"\f417"}.fa-aviato:before{content:"\f421"}.fa-itunes:before{content:"\f3b4"}.fa-cuttlefish:before{content:"\f38c"}.fa-blogger:before{content:"\f37c"}.fa-flickr:before{content:"\f16e"}.fa-viber:before{content:"\f409"}.fa-soundcloud:before{content:"\f1be"}.fa-digg:before{content:"\f1a6"}.fa-tencent-weibo:before{content:"\f1d5"}.fa-symfony:before{content:"\f83d"}.fa-maxcdn:before{content:"\f136"}.fa-etsy:before{content:"\f2d7"}.fa-facebook-messenger:before{content:"\f39f"}.fa-audible:before{content:"\f373"}.fa-think-peaks:before{content:"\f731"}.fa-bilibili:before{content:"\e3d9"}.fa-erlang:before{content:"\f39d"}.fa-x-twitter:before{content:"\e61b"}.fa-cotton-bureau:before{content:"\f89e"}.fa-dashcube:before{content:"\f210"}.fa-42-group:before,.fa-innosoft:before{content:"\e080"}.fa-stack-exchange:before{content:"\f18d"}.fa-elementor:before{content:"\f430"}.fa-pied-piper-square:before,.fa-square-pied-piper:before{content:"\e01e"}.fa-creative-commons-nd:before{content:"\f4eb"}.fa-palfed:before{content:"\f3d8"}.fa-superpowers:before{content:"\f2dd"}.fa-resolving:before{content:"\f3e7"}.fa-xbox:before{content:"\f412"}.fa-searchengin:before{content:"\f3eb"}.fa-tiktok:before{content:"\e07b"}.fa-facebook-square:before,.fa-square-facebook:before{content:"\f082"}.fa-renren:before{content:"\f18b"}.fa-linux:before{content:"\f17c"}.fa-glide:before{content:"\f2a5"}.fa-linkedin:before{content:"\f08c"}.fa-hubspot:before{content:"\f3b2"}.fa-deploydog:before{content:"\f38e"}.fa-twitch:before{content:"\f1e8"}.fa-ravelry:before{content:"\f2d9"}.fa-mixer:before{content:"\e056"}.fa-lastfm-square:before,.fa-square-lastfm:before{content:"\f203"}.fa-vimeo:before{content:"\f40a"}.fa-mendeley:before{content:"\f7b3"}.fa-uniregistry:before{content:"\f404"}.fa-figma:before{content:"\f799"}.fa-creative-commons-remix:before{content:"\f4ee"}.fa-cc-amazon-pay:before{content:"\f42d"}.fa-dropbox:before{content:"\f16b"}.fa-instagram:before{content:"\f16d"}.fa-cmplid:before{content:"\e360"}.fa-facebook:before{content:"\f09a"}.fa-gripfire:before{content:"\f3ac"}.fa-jedi-order:before{content:"\f50e"}.fa-uikit:before{content:"\f403"}.fa-fort-awesome-alt:before{content:"\f3a3"}.fa-phabricator:before{content:"\f3db"}.fa-ussunnah:before{content:"\f407"}.fa-earlybirds:before{content:"\f39a"}.fa-trade-federation:before{content:"\f513"}.fa-autoprefixer:before{content:"\f41c"}.fa-whatsapp:before{content:"\f232"}.fa-slideshare:before{content:"\f1e7"}.fa-google-play:before{content:"\f3ab"}.fa-viadeo:before{content:"\f2a9"}.fa-line:before{content:"\f3c0"}.fa-google-drive:before{content:"\f3aa"}.fa-servicestack:before{content:"\f3ec"}.fa-simplybuilt:before{content:"\f215"}.fa-bitbucket:before{content:"\f171"}.fa-imdb:before{content:"\f2d8"}.fa-deezer:before{content:"\e077"}.fa-raspberry-pi:before{content:"\f7bb"}.fa-jira:before{content:"\f7b1"}.fa-docker:before{content:"\f395"}.fa-screenpal:before{content:"\e570"}.fa-bluetooth:before{content:"\f293"}.fa-gitter:before{content:"\f426"}.fa-d-and-d:before{content:"\f38d"}.fa-microblog:before{content:"\e01a"}.fa-cc-diners-club:before{content:"\f24c"}.fa-gg-circle:before{content:"\f261"}.fa-pied-piper-hat:before{content:"\f4e5"}.fa-kickstarter-k:before{content:"\f3bc"}.fa-yandex:before{content:"\f413"}.fa-readme:before{content:"\f4d5"}.fa-html5:before{content:"\f13b"}.fa-sellsy:before{content:"\f213"}.fa-sass:before{content:"\f41e"}.fa-wirsindhandwerk:before,.fa-wsh:before{content:"\e2d0"}.fa-buromobelexperte:before{content:"\f37f"}.fa-salesforce:before{content:"\f83b"}.fa-octopus-deploy:before{content:"\e082"}.fa-medapps:before{content:"\f3c6"}.fa-ns8:before{content:"\f3d5"}.fa-pinterest-p:before{content:"\f231"}.fa-apper:before{content:"\f371"}.fa-fort-awesome:before{content:"\f286"}.fa-waze:before{content:"\f83f"}.fa-cc-jcb:before{content:"\f24b"}.fa-snapchat-ghost:before,.fa-snapchat:before{content:"\f2ab"}.fa-fantasy-flight-games:before{content:"\f6dc"}.fa-rust:before{content:"\e07a"}.fa-wix:before{content:"\f5cf"}.fa-behance-square:before,.fa-square-behance:before{content:"\f1b5"}.fa-supple:before{content:"\f3f9"}.fa-rebel:before{content:"\f1d0"}.fa-css3:before{content:"\f13c"}.fa-staylinked:before{content:"\f3f5"}.fa-kaggle:before{content:"\f5fa"}.fa-space-awesome:before{content:"\e5ac"}.fa-deviantart:before{content:"\f1bd"}.fa-cpanel:before{content:"\f388"}.fa-goodreads-g:before{content:"\f3a9"}.fa-git-square:before,.fa-square-git:before{content:"\f1d2"}.fa-square-tumblr:before,.fa-tumblr-square:before{content:"\f174"}.fa-trello:before{content:"\f181"}.fa-creative-commons-nc-jp:before{content:"\f4ea"}.fa-get-pocket:before{content:"\f265"}.fa-perbyte:before{content:"\e083"}.fa-grunt:before{content:"\f3ad"}.fa-weebly:before{content:"\f5cc"}.fa-connectdevelop:before{content:"\f20e"}.fa-leanpub:before{content:"\f212"}.fa-black-tie:before{content:"\f27e"}.fa-themeco:before{content:"\f5c6"}.fa-python:before{content:"\f3e2"}.fa-android:before{content:"\f17b"}.fa-bots:before{content:"\e340"}.fa-free-code-camp:before{content:"\f2c5"}.fa-hornbill:before{content:"\f592"}.fa-js:before{content:"\f3b8"}.fa-ideal:before{content:"\e013"}.fa-git:before{content:"\f1d3"}.fa-dev:before{content:"\f6cc"}.fa-sketch:before{content:"\f7c6"}.fa-yandex-international:before{content:"\f414"}.fa-cc-amex:before{content:"\f1f3"}.fa-uber:before{content:"\f402"}.fa-github:before{content:"\f09b"}.fa-php:before{content:"\f457"}.fa-alipay:before{content:"\f642"}.fa-youtube:before{content:"\f167"}.fa-skyatlas:before{content:"\f216"}.fa-firefox-browser:before{content:"\e007"}.fa-replyd:before{content:"\f3e6"}.fa-suse:before{content:"\f7d6"}.fa-jenkins:before{content:"\f3b6"}.fa-twitter:before{content:"\f099"}.fa-rockrms:before{content:"\f3e9"}.fa-pinterest:before{content:"\f0d2"}.fa-buffer:before{content:"\f837"}.fa-npm:before{content:"\f3d4"}.fa-yammer:before{content:"\f840"}.fa-btc:before{content:"\f15a"}.fa-dribbble:before{content:"\f17d"}.fa-stumbleupon-circle:before{content:"\f1a3"}.fa-internet-explorer:before{content:"\f26b"}.fa-stubber:before{content:"\e5c7"}.fa-telegram-plane:before,.fa-telegram:before{content:"\f2c6"}.fa-old-republic:before{content:"\f510"}.fa-odysee:before{content:"\e5c6"}.fa-square-whatsapp:before,.fa-whatsapp-square:before{content:"\f40c"}.fa-node-js:before{content:"\f3d3"}.fa-edge-legacy:before{content:"\e078"}.fa-slack-hash:before,.fa-slack:before{content:"\f198"}.fa-medrt:before{content:"\f3c8"}.fa-usb:before{content:"\f287"}.fa-tumblr:before{content:"\f173"}.fa-vaadin:before{content:"\f408"}.fa-quora:before{content:"\f2c4"}.fa-square-x-twitter:before{content:"\e61a"}.fa-reacteurope:before{content:"\f75d"}.fa-medium-m:before,.fa-medium:before{content:"\f23a"}.fa-amilia:before{content:"\f36d"}.fa-mixcloud:before{content:"\f289"}.fa-flipboard:before{content:"\f44d"}.fa-viacoin:before{content:"\f237"}.fa-critical-role:before{content:"\f6c9"}.fa-sitrox:before{content:"\e44a"}.fa-discourse:before{content:"\f393"}.fa-joomla:before{content:"\f1aa"}.fa-mastodon:before{content:"\f4f6"}.fa-airbnb:before{content:"\f834"}.fa-wolf-pack-battalion:before{content:"\f514"}.fa-buy-n-large:before{content:"\f8a6"}.fa-gulp:before{content:"\f3ae"}.fa-creative-commons-sampling-plus:before{content:"\f4f1"}.fa-strava:before{content:"\f428"}.fa-ember:before{content:"\f423"}.fa-canadian-maple-leaf:before{content:"\f785"}.fa-teamspeak:before{content:"\f4f9"}.fa-pushed:before{content:"\f3e1"}.fa-wordpress-simple:before{content:"\f411"}.fa-nutritionix:before{content:"\f3d6"}.fa-wodu:before{content:"\e088"}.fa-google-pay:before{content:"\e079"}.fa-intercom:before{content:"\f7af"}.fa-zhihu:before{content:"\f63f"}.fa-korvue:before{content:"\f42f"}.fa-pix:before{content:"\e43a"}.fa-steam-symbol:before{content:"\f3f6"}:host,:root{--fa-font-regular:normal 400 1em/1 "Font Awesome 6 Free"}@font-face{font-family:"Font Awesome 6 Free";font-style:normal;font-weight:400;font-display:block;src: url("../webfonts/fa-regular-400.woff2") format("woff2"), url("../webfonts/fa-regular-400.ttf") format("truetype"); }.fa-regular,.far{font-weight:400}:host,:root{--fa-style-family-classic:"Font Awesome 6 Free";--fa-font-solid:normal 900 1em/1 "Font Awesome 6 Free"}@font-face{font-family:"Font Awesome 6 Free";font-style:normal;font-weight:900;font-display:block;src: url("../webfonts/fa-solid-900.woff2") format("woff2"), url("../webfonts/fa-solid-900.ttf") format("truetype"); }.fa-solid,.fas{font-weight:900}@font-face{font-family:"Font Awesome 5 Brands";font-display:block;font-weight:400;src: url("../webfonts/fa-brands-400.woff2") format("woff2"), url("../webfonts/fa-brands-400.ttf") format("truetype"); }@font-face{font-family:"Font Awesome 5 Free";font-display:block;font-weight:900;src: url("../webfonts/fa-solid-900.woff2") format("woff2"), url("../webfonts/fa-solid-900.ttf") format("truetype"); }@font-face{font-family:"Font Awesome 5 Free";font-display:block;font-weight:400;src: url("../webfonts/fa-regular-400.woff2") format("woff2"), url("../webfonts/fa-regular-400.ttf") format("truetype"); }@font-face{font-family:"FontAwesome";font-display:block;src: url("../webfonts/fa-solid-900.woff2") format("woff2"), url("../webfonts/fa-solid-900.ttf") format("truetype"); }@font-face{font-family:"FontAwesome";font-display:block;src: url("../webfonts/fa-brands-400.woff2") format("woff2"), url("../webfonts/fa-brands-400.ttf") format("truetype"); }@font-face{font-family:"FontAwesome";font-display:block;src: url("../webfonts/fa-regular-400.woff2") format("woff2"), url("../webfonts/fa-regular-400.ttf") format("truetype"); }@font-face{font-family:"FontAwesome";font-display:block;src: url("../webfonts/fa-v4compatibility.woff2") format("woff2"), url("../webfonts/fa-v4compatibility.ttf") format("truetype"); }
\ No newline at end of file
diff --git a/deps/font-awesome-6.4.2/css/v4-shims.css b/deps/font-awesome-6.4.2/css/v4-shims.css
new file mode 100644
index 00000000..a85953d1
--- /dev/null
+++ b/deps/font-awesome-6.4.2/css/v4-shims.css
@@ -0,0 +1,2194 @@
+/*!
+ * Font Awesome Free 6.4.2 by @fontawesome - https://fontawesome.com
+ * License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License)
+ * Copyright 2023 Fonticons, Inc.
+ */
+.fa.fa-glass:before {
+  content: "\f000"; }
+
+.fa.fa-envelope-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-envelope-o:before {
+  content: "\f0e0"; }
+
+.fa.fa-star-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-star-o:before {
+  content: "\f005"; }
+
+.fa.fa-remove:before {
+  content: "\f00d"; }
+
+.fa.fa-close:before {
+  content: "\f00d"; }
+
+.fa.fa-gear:before {
+  content: "\f013"; }
+
+.fa.fa-trash-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-trash-o:before {
+  content: "\f2ed"; }
+
+.fa.fa-home:before {
+  content: "\f015"; }
+
+.fa.fa-file-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-file-o:before {
+  content: "\f15b"; }
+
+.fa.fa-clock-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-clock-o:before {
+  content: "\f017"; }
+
+.fa.fa-arrow-circle-o-down {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-arrow-circle-o-down:before {
+  content: "\f358"; }
+
+.fa.fa-arrow-circle-o-up {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-arrow-circle-o-up:before {
+  content: "\f35b"; }
+
+.fa.fa-play-circle-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-play-circle-o:before {
+  content: "\f144"; }
+
+.fa.fa-repeat:before {
+  content: "\f01e"; }
+
+.fa.fa-rotate-right:before {
+  content: "\f01e"; }
+
+.fa.fa-refresh:before {
+  content: "\f021"; }
+
+.fa.fa-list-alt {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-list-alt:before {
+  content: "\f022"; }
+
+.fa.fa-dedent:before {
+  content: "\f03b"; }
+
+.fa.fa-video-camera:before {
+  content: "\f03d"; }
+
+.fa.fa-picture-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-picture-o:before {
+  content: "\f03e"; }
+
+.fa.fa-photo {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-photo:before {
+  content: "\f03e"; }
+
+.fa.fa-image {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-image:before {
+  content: "\f03e"; }
+
+.fa.fa-map-marker:before {
+  content: "\f3c5"; }
+
+.fa.fa-pencil-square-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-pencil-square-o:before {
+  content: "\f044"; }
+
+.fa.fa-edit {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-edit:before {
+  content: "\f044"; }
+
+.fa.fa-share-square-o:before {
+  content: "\f14d"; }
+
+.fa.fa-check-square-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-check-square-o:before {
+  content: "\f14a"; }
+
+.fa.fa-arrows:before {
+  content: "\f0b2"; }
+
+.fa.fa-times-circle-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-times-circle-o:before {
+  content: "\f057"; }
+
+.fa.fa-check-circle-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-check-circle-o:before {
+  content: "\f058"; }
+
+.fa.fa-mail-forward:before {
+  content: "\f064"; }
+
+.fa.fa-expand:before {
+  content: "\f424"; }
+
+.fa.fa-compress:before {
+  content: "\f422"; }
+
+.fa.fa-eye {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-eye-slash {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-warning:before {
+  content: "\f071"; }
+
+.fa.fa-calendar:before {
+  content: "\f073"; }
+
+.fa.fa-arrows-v:before {
+  content: "\f338"; }
+
+.fa.fa-arrows-h:before {
+  content: "\f337"; }
+
+.fa.fa-bar-chart:before {
+  content: "\e0e3"; }
+
+.fa.fa-bar-chart-o:before {
+  content: "\e0e3"; }
+
+.fa.fa-twitter-square {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-twitter-square:before {
+  content: "\f081"; }
+
+.fa.fa-facebook-square {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-facebook-square:before {
+  content: "\f082"; }
+
+.fa.fa-gears:before {
+  content: "\f085"; }
+
+.fa.fa-thumbs-o-up {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-thumbs-o-up:before {
+  content: "\f164"; }
+
+.fa.fa-thumbs-o-down {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-thumbs-o-down:before {
+  content: "\f165"; }
+
+.fa.fa-heart-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-heart-o:before {
+  content: "\f004"; }
+
+.fa.fa-sign-out:before {
+  content: "\f2f5"; }
+
+.fa.fa-linkedin-square {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-linkedin-square:before {
+  content: "\f08c"; }
+
+.fa.fa-thumb-tack:before {
+  content: "\f08d"; }
+
+.fa.fa-external-link:before {
+  content: "\f35d"; }
+
+.fa.fa-sign-in:before {
+  content: "\f2f6"; }
+
+.fa.fa-github-square {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-github-square:before {
+  content: "\f092"; }
+
+.fa.fa-lemon-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-lemon-o:before {
+  content: "\f094"; }
+
+.fa.fa-square-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-square-o:before {
+  content: "\f0c8"; }
+
+.fa.fa-bookmark-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-bookmark-o:before {
+  content: "\f02e"; }
+
+.fa.fa-twitter {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-facebook {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-facebook:before {
+  content: "\f39e"; }
+
+.fa.fa-facebook-f {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-facebook-f:before {
+  content: "\f39e"; }
+
+.fa.fa-github {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-credit-card {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-feed:before {
+  content: "\f09e"; }
+
+.fa.fa-hdd-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-hdd-o:before {
+  content: "\f0a0"; }
+
+.fa.fa-hand-o-right {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-hand-o-right:before {
+  content: "\f0a4"; }
+
+.fa.fa-hand-o-left {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-hand-o-left:before {
+  content: "\f0a5"; }
+
+.fa.fa-hand-o-up {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-hand-o-up:before {
+  content: "\f0a6"; }
+
+.fa.fa-hand-o-down {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-hand-o-down:before {
+  content: "\f0a7"; }
+
+.fa.fa-globe:before {
+  content: "\f57d"; }
+
+.fa.fa-tasks:before {
+  content: "\f828"; }
+
+.fa.fa-arrows-alt:before {
+  content: "\f31e"; }
+
+.fa.fa-group:before {
+  content: "\f0c0"; }
+
+.fa.fa-chain:before {
+  content: "\f0c1"; }
+
+.fa.fa-cut:before {
+  content: "\f0c4"; }
+
+.fa.fa-files-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-files-o:before {
+  content: "\f0c5"; }
+
+.fa.fa-floppy-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-floppy-o:before {
+  content: "\f0c7"; }
+
+.fa.fa-save {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-save:before {
+  content: "\f0c7"; }
+
+.fa.fa-navicon:before {
+  content: "\f0c9"; }
+
+.fa.fa-reorder:before {
+  content: "\f0c9"; }
+
+.fa.fa-magic:before {
+  content: "\e2ca"; }
+
+.fa.fa-pinterest {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-pinterest-square {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-pinterest-square:before {
+  content: "\f0d3"; }
+
+.fa.fa-google-plus-square {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-google-plus-square:before {
+  content: "\f0d4"; }
+
+.fa.fa-google-plus {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-google-plus:before {
+  content: "\f0d5"; }
+
+.fa.fa-money:before {
+  content: "\f3d1"; }
+
+.fa.fa-unsorted:before {
+  content: "\f0dc"; }
+
+.fa.fa-sort-desc:before {
+  content: "\f0dd"; }
+
+.fa.fa-sort-asc:before {
+  content: "\f0de"; }
+
+.fa.fa-linkedin {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-linkedin:before {
+  content: "\f0e1"; }
+
+.fa.fa-rotate-left:before {
+  content: "\f0e2"; }
+
+.fa.fa-legal:before {
+  content: "\f0e3"; }
+
+.fa.fa-tachometer:before {
+  content: "\f625"; }
+
+.fa.fa-dashboard:before {
+  content: "\f625"; }
+
+.fa.fa-comment-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-comment-o:before {
+  content: "\f075"; }
+
+.fa.fa-comments-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-comments-o:before {
+  content: "\f086"; }
+
+.fa.fa-flash:before {
+  content: "\f0e7"; }
+
+.fa.fa-clipboard:before {
+  content: "\f0ea"; }
+
+.fa.fa-lightbulb-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-lightbulb-o:before {
+  content: "\f0eb"; }
+
+.fa.fa-exchange:before {
+  content: "\f362"; }
+
+.fa.fa-cloud-download:before {
+  content: "\f0ed"; }
+
+.fa.fa-cloud-upload:before {
+  content: "\f0ee"; }
+
+.fa.fa-bell-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-bell-o:before {
+  content: "\f0f3"; }
+
+.fa.fa-cutlery:before {
+  content: "\f2e7"; }
+
+.fa.fa-file-text-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-file-text-o:before {
+  content: "\f15c"; }
+
+.fa.fa-building-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-building-o:before {
+  content: "\f1ad"; }
+
+.fa.fa-hospital-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-hospital-o:before {
+  content: "\f0f8"; }
+
+.fa.fa-tablet:before {
+  content: "\f3fa"; }
+
+.fa.fa-mobile:before {
+  content: "\f3cd"; }
+
+.fa.fa-mobile-phone:before {
+  content: "\f3cd"; }
+
+.fa.fa-circle-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-circle-o:before {
+  content: "\f111"; }
+
+.fa.fa-mail-reply:before {
+  content: "\f3e5"; }
+
+.fa.fa-github-alt {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-folder-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-folder-o:before {
+  content: "\f07b"; }
+
+.fa.fa-folder-open-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-folder-open-o:before {
+  content: "\f07c"; }
+
+.fa.fa-smile-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-smile-o:before {
+  content: "\f118"; }
+
+.fa.fa-frown-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-frown-o:before {
+  content: "\f119"; }
+
+.fa.fa-meh-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-meh-o:before {
+  content: "\f11a"; }
+
+.fa.fa-keyboard-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-keyboard-o:before {
+  content: "\f11c"; }
+
+.fa.fa-flag-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-flag-o:before {
+  content: "\f024"; }
+
+.fa.fa-mail-reply-all:before {
+  content: "\f122"; }
+
+.fa.fa-star-half-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-star-half-o:before {
+  content: "\f5c0"; }
+
+.fa.fa-star-half-empty {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-star-half-empty:before {
+  content: "\f5c0"; }
+
+.fa.fa-star-half-full {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-star-half-full:before {
+  content: "\f5c0"; }
+
+.fa.fa-code-fork:before {
+  content: "\f126"; }
+
+.fa.fa-chain-broken:before {
+  content: "\f127"; }
+
+.fa.fa-unlink:before {
+  content: "\f127"; }
+
+.fa.fa-calendar-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-calendar-o:before {
+  content: "\f133"; }
+
+.fa.fa-maxcdn {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-html5 {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-css3 {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-unlock-alt:before {
+  content: "\f09c"; }
+
+.fa.fa-minus-square-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-minus-square-o:before {
+  content: "\f146"; }
+
+.fa.fa-level-up:before {
+  content: "\f3bf"; }
+
+.fa.fa-level-down:before {
+  content: "\f3be"; }
+
+.fa.fa-pencil-square:before {
+  content: "\f14b"; }
+
+.fa.fa-external-link-square:before {
+  content: "\f360"; }
+
+.fa.fa-compass {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-caret-square-o-down {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-caret-square-o-down:before {
+  content: "\f150"; }
+
+.fa.fa-toggle-down {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-toggle-down:before {
+  content: "\f150"; }
+
+.fa.fa-caret-square-o-up {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-caret-square-o-up:before {
+  content: "\f151"; }
+
+.fa.fa-toggle-up {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-toggle-up:before {
+  content: "\f151"; }
+
+.fa.fa-caret-square-o-right {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-caret-square-o-right:before {
+  content: "\f152"; }
+
+.fa.fa-toggle-right {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-toggle-right:before {
+  content: "\f152"; }
+
+.fa.fa-eur:before {
+  content: "\f153"; }
+
+.fa.fa-euro:before {
+  content: "\f153"; }
+
+.fa.fa-gbp:before {
+  content: "\f154"; }
+
+.fa.fa-usd:before {
+  content: "\24"; }
+
+.fa.fa-dollar:before {
+  content: "\24"; }
+
+.fa.fa-inr:before {
+  content: "\e1bc"; }
+
+.fa.fa-rupee:before {
+  content: "\e1bc"; }
+
+.fa.fa-jpy:before {
+  content: "\f157"; }
+
+.fa.fa-cny:before {
+  content: "\f157"; }
+
+.fa.fa-rmb:before {
+  content: "\f157"; }
+
+.fa.fa-yen:before {
+  content: "\f157"; }
+
+.fa.fa-rub:before {
+  content: "\f158"; }
+
+.fa.fa-ruble:before {
+  content: "\f158"; }
+
+.fa.fa-rouble:before {
+  content: "\f158"; }
+
+.fa.fa-krw:before {
+  content: "\f159"; }
+
+.fa.fa-won:before {
+  content: "\f159"; }
+
+.fa.fa-btc {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-bitcoin {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-bitcoin:before {
+  content: "\f15a"; }
+
+.fa.fa-file-text:before {
+  content: "\f15c"; }
+
+.fa.fa-sort-alpha-asc:before {
+  content: "\f15d"; }
+
+.fa.fa-sort-alpha-desc:before {
+  content: "\f881"; }
+
+.fa.fa-sort-amount-asc:before {
+  content: "\f884"; }
+
+.fa.fa-sort-amount-desc:before {
+  content: "\f160"; }
+
+.fa.fa-sort-numeric-asc:before {
+  content: "\f162"; }
+
+.fa.fa-sort-numeric-desc:before {
+  content: "\f886"; }
+
+.fa.fa-youtube-square {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-youtube-square:before {
+  content: "\f431"; }
+
+.fa.fa-youtube {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-xing {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-xing-square {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-xing-square:before {
+  content: "\f169"; }
+
+.fa.fa-youtube-play {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-youtube-play:before {
+  content: "\f167"; }
+
+.fa.fa-dropbox {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-stack-overflow {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-instagram {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-flickr {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-adn {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-bitbucket {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-bitbucket-square {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-bitbucket-square:before {
+  content: "\f171"; }
+
+.fa.fa-tumblr {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-tumblr-square {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-tumblr-square:before {
+  content: "\f174"; }
+
+.fa.fa-long-arrow-down:before {
+  content: "\f309"; }
+
+.fa.fa-long-arrow-up:before {
+  content: "\f30c"; }
+
+.fa.fa-long-arrow-left:before {
+  content: "\f30a"; }
+
+.fa.fa-long-arrow-right:before {
+  content: "\f30b"; }
+
+.fa.fa-apple {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-windows {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-android {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-linux {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-dribbble {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-skype {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-foursquare {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-trello {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-gratipay {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-gittip {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-gittip:before {
+  content: "\f184"; }
+
+.fa.fa-sun-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-sun-o:before {
+  content: "\f185"; }
+
+.fa.fa-moon-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-moon-o:before {
+  content: "\f186"; }
+
+.fa.fa-vk {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-weibo {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-renren {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-pagelines {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-stack-exchange {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-arrow-circle-o-right {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-arrow-circle-o-right:before {
+  content: "\f35a"; }
+
+.fa.fa-arrow-circle-o-left {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-arrow-circle-o-left:before {
+  content: "\f359"; }
+
+.fa.fa-caret-square-o-left {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-caret-square-o-left:before {
+  content: "\f191"; }
+
+.fa.fa-toggle-left {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-toggle-left:before {
+  content: "\f191"; }
+
+.fa.fa-dot-circle-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-dot-circle-o:before {
+  content: "\f192"; }
+
+.fa.fa-vimeo-square {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-vimeo-square:before {
+  content: "\f194"; }
+
+.fa.fa-try:before {
+  content: "\e2bb"; }
+
+.fa.fa-turkish-lira:before {
+  content: "\e2bb"; }
+
+.fa.fa-plus-square-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-plus-square-o:before {
+  content: "\f0fe"; }
+
+.fa.fa-slack {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-wordpress {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-openid {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-institution:before {
+  content: "\f19c"; }
+
+.fa.fa-bank:before {
+  content: "\f19c"; }
+
+.fa.fa-mortar-board:before {
+  content: "\f19d"; }
+
+.fa.fa-yahoo {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-google {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-reddit {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-reddit-square {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-reddit-square:before {
+  content: "\f1a2"; }
+
+.fa.fa-stumbleupon-circle {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-stumbleupon {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-delicious {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-digg {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-pied-piper-pp {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-pied-piper-alt {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-drupal {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-joomla {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-behance {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-behance-square {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-behance-square:before {
+  content: "\f1b5"; }
+
+.fa.fa-steam {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-steam-square {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-steam-square:before {
+  content: "\f1b7"; }
+
+.fa.fa-automobile:before {
+  content: "\f1b9"; }
+
+.fa.fa-cab:before {
+  content: "\f1ba"; }
+
+.fa.fa-spotify {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-deviantart {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-soundcloud {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-file-pdf-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-file-pdf-o:before {
+  content: "\f1c1"; }
+
+.fa.fa-file-word-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-file-word-o:before {
+  content: "\f1c2"; }
+
+.fa.fa-file-excel-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-file-excel-o:before {
+  content: "\f1c3"; }
+
+.fa.fa-file-powerpoint-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-file-powerpoint-o:before {
+  content: "\f1c4"; }
+
+.fa.fa-file-image-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-file-image-o:before {
+  content: "\f1c5"; }
+
+.fa.fa-file-photo-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-file-photo-o:before {
+  content: "\f1c5"; }
+
+.fa.fa-file-picture-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-file-picture-o:before {
+  content: "\f1c5"; }
+
+.fa.fa-file-archive-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-file-archive-o:before {
+  content: "\f1c6"; }
+
+.fa.fa-file-zip-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-file-zip-o:before {
+  content: "\f1c6"; }
+
+.fa.fa-file-audio-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-file-audio-o:before {
+  content: "\f1c7"; }
+
+.fa.fa-file-sound-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-file-sound-o:before {
+  content: "\f1c7"; }
+
+.fa.fa-file-video-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-file-video-o:before {
+  content: "\f1c8"; }
+
+.fa.fa-file-movie-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-file-movie-o:before {
+  content: "\f1c8"; }
+
+.fa.fa-file-code-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-file-code-o:before {
+  content: "\f1c9"; }
+
+.fa.fa-vine {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-codepen {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-jsfiddle {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-life-bouy:before {
+  content: "\f1cd"; }
+
+.fa.fa-life-buoy:before {
+  content: "\f1cd"; }
+
+.fa.fa-life-saver:before {
+  content: "\f1cd"; }
+
+.fa.fa-support:before {
+  content: "\f1cd"; }
+
+.fa.fa-circle-o-notch:before {
+  content: "\f1ce"; }
+
+.fa.fa-rebel {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-ra {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-ra:before {
+  content: "\f1d0"; }
+
+.fa.fa-resistance {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-resistance:before {
+  content: "\f1d0"; }
+
+.fa.fa-empire {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-ge {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-ge:before {
+  content: "\f1d1"; }
+
+.fa.fa-git-square {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-git-square:before {
+  content: "\f1d2"; }
+
+.fa.fa-git {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-hacker-news {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-y-combinator-square {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-y-combinator-square:before {
+  content: "\f1d4"; }
+
+.fa.fa-yc-square {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-yc-square:before {
+  content: "\f1d4"; }
+
+.fa.fa-tencent-weibo {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-qq {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-weixin {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-wechat {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-wechat:before {
+  content: "\f1d7"; }
+
+.fa.fa-send:before {
+  content: "\f1d8"; }
+
+.fa.fa-paper-plane-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-paper-plane-o:before {
+  content: "\f1d8"; }
+
+.fa.fa-send-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-send-o:before {
+  content: "\f1d8"; }
+
+.fa.fa-circle-thin {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-circle-thin:before {
+  content: "\f111"; }
+
+.fa.fa-header:before {
+  content: "\f1dc"; }
+
+.fa.fa-futbol-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-futbol-o:before {
+  content: "\f1e3"; }
+
+.fa.fa-soccer-ball-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-soccer-ball-o:before {
+  content: "\f1e3"; }
+
+.fa.fa-slideshare {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-twitch {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-yelp {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-newspaper-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-newspaper-o:before {
+  content: "\f1ea"; }
+
+.fa.fa-paypal {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-google-wallet {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-cc-visa {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-cc-mastercard {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-cc-discover {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-cc-amex {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-cc-paypal {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-cc-stripe {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-bell-slash-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-bell-slash-o:before {
+  content: "\f1f6"; }
+
+.fa.fa-trash:before {
+  content: "\f2ed"; }
+
+.fa.fa-copyright {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-eyedropper:before {
+  content: "\f1fb"; }
+
+.fa.fa-area-chart:before {
+  content: "\f1fe"; }
+
+.fa.fa-pie-chart:before {
+  content: "\f200"; }
+
+.fa.fa-line-chart:before {
+  content: "\f201"; }
+
+.fa.fa-lastfm {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-lastfm-square {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-lastfm-square:before {
+  content: "\f203"; }
+
+.fa.fa-ioxhost {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-angellist {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-cc {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-cc:before {
+  content: "\f20a"; }
+
+.fa.fa-ils:before {
+  content: "\f20b"; }
+
+.fa.fa-shekel:before {
+  content: "\f20b"; }
+
+.fa.fa-sheqel:before {
+  content: "\f20b"; }
+
+.fa.fa-buysellads {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-connectdevelop {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-dashcube {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-forumbee {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-leanpub {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-sellsy {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-shirtsinbulk {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-simplybuilt {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-skyatlas {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-diamond {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-diamond:before {
+  content: "\f3a5"; }
+
+.fa.fa-transgender:before {
+  content: "\f224"; }
+
+.fa.fa-intersex:before {
+  content: "\f224"; }
+
+.fa.fa-transgender-alt:before {
+  content: "\f225"; }
+
+.fa.fa-facebook-official {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-facebook-official:before {
+  content: "\f09a"; }
+
+.fa.fa-pinterest-p {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-whatsapp {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-hotel:before {
+  content: "\f236"; }
+
+.fa.fa-viacoin {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-medium {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-y-combinator {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-yc {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-yc:before {
+  content: "\f23b"; }
+
+.fa.fa-optin-monster {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-opencart {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-expeditedssl {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-battery-4:before {
+  content: "\f240"; }
+
+.fa.fa-battery:before {
+  content: "\f240"; }
+
+.fa.fa-battery-3:before {
+  content: "\f241"; }
+
+.fa.fa-battery-2:before {
+  content: "\f242"; }
+
+.fa.fa-battery-1:before {
+  content: "\f243"; }
+
+.fa.fa-battery-0:before {
+  content: "\f244"; }
+
+.fa.fa-object-group {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-object-ungroup {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-sticky-note-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-sticky-note-o:before {
+  content: "\f249"; }
+
+.fa.fa-cc-jcb {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-cc-diners-club {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-clone {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-hourglass-o:before {
+  content: "\f254"; }
+
+.fa.fa-hourglass-1:before {
+  content: "\f251"; }
+
+.fa.fa-hourglass-2:before {
+  content: "\f252"; }
+
+.fa.fa-hourglass-3:before {
+  content: "\f253"; }
+
+.fa.fa-hand-rock-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-hand-rock-o:before {
+  content: "\f255"; }
+
+.fa.fa-hand-grab-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-hand-grab-o:before {
+  content: "\f255"; }
+
+.fa.fa-hand-paper-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-hand-paper-o:before {
+  content: "\f256"; }
+
+.fa.fa-hand-stop-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-hand-stop-o:before {
+  content: "\f256"; }
+
+.fa.fa-hand-scissors-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-hand-scissors-o:before {
+  content: "\f257"; }
+
+.fa.fa-hand-lizard-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-hand-lizard-o:before {
+  content: "\f258"; }
+
+.fa.fa-hand-spock-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-hand-spock-o:before {
+  content: "\f259"; }
+
+.fa.fa-hand-pointer-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-hand-pointer-o:before {
+  content: "\f25a"; }
+
+.fa.fa-hand-peace-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-hand-peace-o:before {
+  content: "\f25b"; }
+
+.fa.fa-registered {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-creative-commons {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-gg {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-gg-circle {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-odnoklassniki {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-odnoklassniki-square {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-odnoklassniki-square:before {
+  content: "\f264"; }
+
+.fa.fa-get-pocket {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-wikipedia-w {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-safari {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-chrome {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-firefox {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-opera {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-internet-explorer {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-television:before {
+  content: "\f26c"; }
+
+.fa.fa-contao {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-500px {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-amazon {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-calendar-plus-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-calendar-plus-o:before {
+  content: "\f271"; }
+
+.fa.fa-calendar-minus-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-calendar-minus-o:before {
+  content: "\f272"; }
+
+.fa.fa-calendar-times-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-calendar-times-o:before {
+  content: "\f273"; }
+
+.fa.fa-calendar-check-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-calendar-check-o:before {
+  content: "\f274"; }
+
+.fa.fa-map-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-map-o:before {
+  content: "\f279"; }
+
+.fa.fa-commenting:before {
+  content: "\f4ad"; }
+
+.fa.fa-commenting-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-commenting-o:before {
+  content: "\f4ad"; }
+
+.fa.fa-houzz {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-vimeo {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-vimeo:before {
+  content: "\f27d"; }
+
+.fa.fa-black-tie {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-fonticons {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-reddit-alien {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-edge {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-credit-card-alt:before {
+  content: "\f09d"; }
+
+.fa.fa-codiepie {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-modx {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-fort-awesome {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-usb {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-product-hunt {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-mixcloud {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-scribd {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-pause-circle-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-pause-circle-o:before {
+  content: "\f28b"; }
+
+.fa.fa-stop-circle-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-stop-circle-o:before {
+  content: "\f28d"; }
+
+.fa.fa-bluetooth {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-bluetooth-b {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-gitlab {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-wpbeginner {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-wpforms {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-envira {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-wheelchair-alt {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-wheelchair-alt:before {
+  content: "\f368"; }
+
+.fa.fa-question-circle-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-question-circle-o:before {
+  content: "\f059"; }
+
+.fa.fa-volume-control-phone:before {
+  content: "\f2a0"; }
+
+.fa.fa-asl-interpreting:before {
+  content: "\f2a3"; }
+
+.fa.fa-deafness:before {
+  content: "\f2a4"; }
+
+.fa.fa-hard-of-hearing:before {
+  content: "\f2a4"; }
+
+.fa.fa-glide {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-glide-g {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-signing:before {
+  content: "\f2a7"; }
+
+.fa.fa-viadeo {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-viadeo-square {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-viadeo-square:before {
+  content: "\f2aa"; }
+
+.fa.fa-snapchat {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-snapchat-ghost {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-snapchat-ghost:before {
+  content: "\f2ab"; }
+
+.fa.fa-snapchat-square {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-snapchat-square:before {
+  content: "\f2ad"; }
+
+.fa.fa-pied-piper {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-first-order {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-yoast {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-themeisle {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-google-plus-official {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-google-plus-official:before {
+  content: "\f2b3"; }
+
+.fa.fa-google-plus-circle {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-google-plus-circle:before {
+  content: "\f2b3"; }
+
+.fa.fa-font-awesome {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-fa {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-fa:before {
+  content: "\f2b4"; }
+
+.fa.fa-handshake-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-handshake-o:before {
+  content: "\f2b5"; }
+
+.fa.fa-envelope-open-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-envelope-open-o:before {
+  content: "\f2b6"; }
+
+.fa.fa-linode {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-address-book-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-address-book-o:before {
+  content: "\f2b9"; }
+
+.fa.fa-vcard:before {
+  content: "\f2bb"; }
+
+.fa.fa-address-card-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-address-card-o:before {
+  content: "\f2bb"; }
+
+.fa.fa-vcard-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-vcard-o:before {
+  content: "\f2bb"; }
+
+.fa.fa-user-circle-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-user-circle-o:before {
+  content: "\f2bd"; }
+
+.fa.fa-user-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-user-o:before {
+  content: "\f007"; }
+
+.fa.fa-id-badge {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-drivers-license:before {
+  content: "\f2c2"; }
+
+.fa.fa-id-card-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-id-card-o:before {
+  content: "\f2c2"; }
+
+.fa.fa-drivers-license-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-drivers-license-o:before {
+  content: "\f2c2"; }
+
+.fa.fa-quora {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-free-code-camp {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-telegram {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-thermometer-4:before {
+  content: "\f2c7"; }
+
+.fa.fa-thermometer:before {
+  content: "\f2c7"; }
+
+.fa.fa-thermometer-3:before {
+  content: "\f2c8"; }
+
+.fa.fa-thermometer-2:before {
+  content: "\f2c9"; }
+
+.fa.fa-thermometer-1:before {
+  content: "\f2ca"; }
+
+.fa.fa-thermometer-0:before {
+  content: "\f2cb"; }
+
+.fa.fa-bathtub:before {
+  content: "\f2cd"; }
+
+.fa.fa-s15:before {
+  content: "\f2cd"; }
+
+.fa.fa-window-maximize {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-window-restore {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-times-rectangle:before {
+  content: "\f410"; }
+
+.fa.fa-window-close-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-window-close-o:before {
+  content: "\f410"; }
+
+.fa.fa-times-rectangle-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-times-rectangle-o:before {
+  content: "\f410"; }
+
+.fa.fa-bandcamp {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-grav {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-etsy {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-imdb {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-ravelry {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-eercast {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-eercast:before {
+  content: "\f2da"; }
+
+.fa.fa-snowflake-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-snowflake-o:before {
+  content: "\f2dc"; }
+
+.fa.fa-superpowers {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-wpexplorer {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-meetup {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
diff --git a/deps/font-awesome-6.4.2/css/v4-shims.min.css b/deps/font-awesome-6.4.2/css/v4-shims.min.css
new file mode 100644
index 00000000..64e4e8d8
--- /dev/null
+++ b/deps/font-awesome-6.4.2/css/v4-shims.min.css
@@ -0,0 +1,6 @@
+/*!
+ * Font Awesome Free 6.4.2 by @fontawesome - https://fontawesome.com
+ * License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License)
+ * Copyright 2023 Fonticons, Inc.
+ */
+.fa.fa-glass:before{content:"\f000"}.fa.fa-envelope-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-envelope-o:before{content:"\f0e0"}.fa.fa-star-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-star-o:before{content:"\f005"}.fa.fa-close:before,.fa.fa-remove:before{content:"\f00d"}.fa.fa-gear:before{content:"\f013"}.fa.fa-trash-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-trash-o:before{content:"\f2ed"}.fa.fa-home:before{content:"\f015"}.fa.fa-file-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-file-o:before{content:"\f15b"}.fa.fa-clock-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-clock-o:before{content:"\f017"}.fa.fa-arrow-circle-o-down{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-arrow-circle-o-down:before{content:"\f358"}.fa.fa-arrow-circle-o-up{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-arrow-circle-o-up:before{content:"\f35b"}.fa.fa-play-circle-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-play-circle-o:before{content:"\f144"}.fa.fa-repeat:before,.fa.fa-rotate-right:before{content:"\f01e"}.fa.fa-refresh:before{content:"\f021"}.fa.fa-list-alt{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-list-alt:before{content:"\f022"}.fa.fa-dedent:before{content:"\f03b"}.fa.fa-video-camera:before{content:"\f03d"}.fa.fa-picture-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-picture-o:before{content:"\f03e"}.fa.fa-photo{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-photo:before{content:"\f03e"}.fa.fa-image{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-image:before{content:"\f03e"}.fa.fa-map-marker:before{content:"\f3c5"}.fa.fa-pencil-square-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-pencil-square-o:before{content:"\f044"}.fa.fa-edit{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-edit:before{content:"\f044"}.fa.fa-share-square-o:before{content:"\f14d"}.fa.fa-check-square-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-check-square-o:before{content:"\f14a"}.fa.fa-arrows:before{content:"\f0b2"}.fa.fa-times-circle-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-times-circle-o:before{content:"\f057"}.fa.fa-check-circle-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-check-circle-o:before{content:"\f058"}.fa.fa-mail-forward:before{content:"\f064"}.fa.fa-expand:before{content:"\f424"}.fa.fa-compress:before{content:"\f422"}.fa.fa-eye,.fa.fa-eye-slash{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-warning:before{content:"\f071"}.fa.fa-calendar:before{content:"\f073"}.fa.fa-arrows-v:before{content:"\f338"}.fa.fa-arrows-h:before{content:"\f337"}.fa.fa-bar-chart-o:before,.fa.fa-bar-chart:before{content:"\e0e3"}.fa.fa-twitter-square{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-twitter-square:before{content:"\f081"}.fa.fa-facebook-square{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-facebook-square:before{content:"\f082"}.fa.fa-gears:before{content:"\f085"}.fa.fa-thumbs-o-up{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-thumbs-o-up:before{content:"\f164"}.fa.fa-thumbs-o-down{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-thumbs-o-down:before{content:"\f165"}.fa.fa-heart-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-heart-o:before{content:"\f004"}.fa.fa-sign-out:before{content:"\f2f5"}.fa.fa-linkedin-square{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-linkedin-square:before{content:"\f08c"}.fa.fa-thumb-tack:before{content:"\f08d"}.fa.fa-external-link:before{content:"\f35d"}.fa.fa-sign-in:before{content:"\f2f6"}.fa.fa-github-square{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-github-square:before{content:"\f092"}.fa.fa-lemon-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-lemon-o:before{content:"\f094"}.fa.fa-square-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-square-o:before{content:"\f0c8"}.fa.fa-bookmark-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-bookmark-o:before{content:"\f02e"}.fa.fa-facebook,.fa.fa-twitter{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-facebook:before{content:"\f39e"}.fa.fa-facebook-f{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-facebook-f:before{content:"\f39e"}.fa.fa-github{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-credit-card{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-feed:before{content:"\f09e"}.fa.fa-hdd-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-hdd-o:before{content:"\f0a0"}.fa.fa-hand-o-right{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-hand-o-right:before{content:"\f0a4"}.fa.fa-hand-o-left{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-hand-o-left:before{content:"\f0a5"}.fa.fa-hand-o-up{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-hand-o-up:before{content:"\f0a6"}.fa.fa-hand-o-down{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-hand-o-down:before{content:"\f0a7"}.fa.fa-globe:before{content:"\f57d"}.fa.fa-tasks:before{content:"\f828"}.fa.fa-arrows-alt:before{content:"\f31e"}.fa.fa-group:before{content:"\f0c0"}.fa.fa-chain:before{content:"\f0c1"}.fa.fa-cut:before{content:"\f0c4"}.fa.fa-files-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-files-o:before{content:"\f0c5"}.fa.fa-floppy-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-floppy-o:before{content:"\f0c7"}.fa.fa-save{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-save:before{content:"\f0c7"}.fa.fa-navicon:before,.fa.fa-reorder:before{content:"\f0c9"}.fa.fa-magic:before{content:"\e2ca"}.fa.fa-pinterest,.fa.fa-pinterest-square{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-pinterest-square:before{content:"\f0d3"}.fa.fa-google-plus-square{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-google-plus-square:before{content:"\f0d4"}.fa.fa-google-plus{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-google-plus:before{content:"\f0d5"}.fa.fa-money:before{content:"\f3d1"}.fa.fa-unsorted:before{content:"\f0dc"}.fa.fa-sort-desc:before{content:"\f0dd"}.fa.fa-sort-asc:before{content:"\f0de"}.fa.fa-linkedin{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-linkedin:before{content:"\f0e1"}.fa.fa-rotate-left:before{content:"\f0e2"}.fa.fa-legal:before{content:"\f0e3"}.fa.fa-dashboard:before,.fa.fa-tachometer:before{content:"\f625"}.fa.fa-comment-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-comment-o:before{content:"\f075"}.fa.fa-comments-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-comments-o:before{content:"\f086"}.fa.fa-flash:before{content:"\f0e7"}.fa.fa-clipboard:before{content:"\f0ea"}.fa.fa-lightbulb-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-lightbulb-o:before{content:"\f0eb"}.fa.fa-exchange:before{content:"\f362"}.fa.fa-cloud-download:before{content:"\f0ed"}.fa.fa-cloud-upload:before{content:"\f0ee"}.fa.fa-bell-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-bell-o:before{content:"\f0f3"}.fa.fa-cutlery:before{content:"\f2e7"}.fa.fa-file-text-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-file-text-o:before{content:"\f15c"}.fa.fa-building-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-building-o:before{content:"\f1ad"}.fa.fa-hospital-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-hospital-o:before{content:"\f0f8"}.fa.fa-tablet:before{content:"\f3fa"}.fa.fa-mobile-phone:before,.fa.fa-mobile:before{content:"\f3cd"}.fa.fa-circle-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-circle-o:before{content:"\f111"}.fa.fa-mail-reply:before{content:"\f3e5"}.fa.fa-github-alt{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-folder-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-folder-o:before{content:"\f07b"}.fa.fa-folder-open-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-folder-open-o:before{content:"\f07c"}.fa.fa-smile-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-smile-o:before{content:"\f118"}.fa.fa-frown-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-frown-o:before{content:"\f119"}.fa.fa-meh-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-meh-o:before{content:"\f11a"}.fa.fa-keyboard-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-keyboard-o:before{content:"\f11c"}.fa.fa-flag-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-flag-o:before{content:"\f024"}.fa.fa-mail-reply-all:before{content:"\f122"}.fa.fa-star-half-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-star-half-o:before{content:"\f5c0"}.fa.fa-star-half-empty{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-star-half-empty:before{content:"\f5c0"}.fa.fa-star-half-full{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-star-half-full:before{content:"\f5c0"}.fa.fa-code-fork:before{content:"\f126"}.fa.fa-chain-broken:before,.fa.fa-unlink:before{content:"\f127"}.fa.fa-calendar-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-calendar-o:before{content:"\f133"}.fa.fa-css3,.fa.fa-html5,.fa.fa-maxcdn{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-unlock-alt:before{content:"\f09c"}.fa.fa-minus-square-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-minus-square-o:before{content:"\f146"}.fa.fa-level-up:before{content:"\f3bf"}.fa.fa-level-down:before{content:"\f3be"}.fa.fa-pencil-square:before{content:"\f14b"}.fa.fa-external-link-square:before{content:"\f360"}.fa.fa-compass{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-caret-square-o-down{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-caret-square-o-down:before{content:"\f150"}.fa.fa-toggle-down{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-toggle-down:before{content:"\f150"}.fa.fa-caret-square-o-up{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-caret-square-o-up:before{content:"\f151"}.fa.fa-toggle-up{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-toggle-up:before{content:"\f151"}.fa.fa-caret-square-o-right{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-caret-square-o-right:before{content:"\f152"}.fa.fa-toggle-right{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-toggle-right:before{content:"\f152"}.fa.fa-eur:before,.fa.fa-euro:before{content:"\f153"}.fa.fa-gbp:before{content:"\f154"}.fa.fa-dollar:before,.fa.fa-usd:before{content:"\24"}.fa.fa-inr:before,.fa.fa-rupee:before{content:"\e1bc"}.fa.fa-cny:before,.fa.fa-jpy:before,.fa.fa-rmb:before,.fa.fa-yen:before{content:"\f157"}.fa.fa-rouble:before,.fa.fa-rub:before,.fa.fa-ruble:before{content:"\f158"}.fa.fa-krw:before,.fa.fa-won:before{content:"\f159"}.fa.fa-bitcoin,.fa.fa-btc{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-bitcoin:before{content:"\f15a"}.fa.fa-file-text:before{content:"\f15c"}.fa.fa-sort-alpha-asc:before{content:"\f15d"}.fa.fa-sort-alpha-desc:before{content:"\f881"}.fa.fa-sort-amount-asc:before{content:"\f884"}.fa.fa-sort-amount-desc:before{content:"\f160"}.fa.fa-sort-numeric-asc:before{content:"\f162"}.fa.fa-sort-numeric-desc:before{content:"\f886"}.fa.fa-youtube-square{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-youtube-square:before{content:"\f431"}.fa.fa-xing,.fa.fa-xing-square,.fa.fa-youtube{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-xing-square:before{content:"\f169"}.fa.fa-youtube-play{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-youtube-play:before{content:"\f167"}.fa.fa-adn,.fa.fa-bitbucket,.fa.fa-bitbucket-square,.fa.fa-dropbox,.fa.fa-flickr,.fa.fa-instagram,.fa.fa-stack-overflow{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-bitbucket-square:before{content:"\f171"}.fa.fa-tumblr,.fa.fa-tumblr-square{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-tumblr-square:before{content:"\f174"}.fa.fa-long-arrow-down:before{content:"\f309"}.fa.fa-long-arrow-up:before{content:"\f30c"}.fa.fa-long-arrow-left:before{content:"\f30a"}.fa.fa-long-arrow-right:before{content:"\f30b"}.fa.fa-android,.fa.fa-apple,.fa.fa-dribbble,.fa.fa-foursquare,.fa.fa-gittip,.fa.fa-gratipay,.fa.fa-linux,.fa.fa-skype,.fa.fa-trello,.fa.fa-windows{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-gittip:before{content:"\f184"}.fa.fa-sun-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-sun-o:before{content:"\f185"}.fa.fa-moon-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-moon-o:before{content:"\f186"}.fa.fa-pagelines,.fa.fa-renren,.fa.fa-stack-exchange,.fa.fa-vk,.fa.fa-weibo{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-arrow-circle-o-right{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-arrow-circle-o-right:before{content:"\f35a"}.fa.fa-arrow-circle-o-left{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-arrow-circle-o-left:before{content:"\f359"}.fa.fa-caret-square-o-left{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-caret-square-o-left:before{content:"\f191"}.fa.fa-toggle-left{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-toggle-left:before{content:"\f191"}.fa.fa-dot-circle-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-dot-circle-o:before{content:"\f192"}.fa.fa-vimeo-square{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-vimeo-square:before{content:"\f194"}.fa.fa-try:before,.fa.fa-turkish-lira:before{content:"\e2bb"}.fa.fa-plus-square-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-plus-square-o:before{content:"\f0fe"}.fa.fa-openid,.fa.fa-slack,.fa.fa-wordpress{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-bank:before,.fa.fa-institution:before{content:"\f19c"}.fa.fa-mortar-board:before{content:"\f19d"}.fa.fa-google,.fa.fa-reddit,.fa.fa-reddit-square,.fa.fa-yahoo{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-reddit-square:before{content:"\f1a2"}.fa.fa-behance,.fa.fa-behance-square,.fa.fa-delicious,.fa.fa-digg,.fa.fa-drupal,.fa.fa-joomla,.fa.fa-pied-piper-alt,.fa.fa-pied-piper-pp,.fa.fa-stumbleupon,.fa.fa-stumbleupon-circle{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-behance-square:before{content:"\f1b5"}.fa.fa-steam,.fa.fa-steam-square{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-steam-square:before{content:"\f1b7"}.fa.fa-automobile:before{content:"\f1b9"}.fa.fa-cab:before{content:"\f1ba"}.fa.fa-deviantart,.fa.fa-soundcloud,.fa.fa-spotify{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-file-pdf-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-file-pdf-o:before{content:"\f1c1"}.fa.fa-file-word-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-file-word-o:before{content:"\f1c2"}.fa.fa-file-excel-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-file-excel-o:before{content:"\f1c3"}.fa.fa-file-powerpoint-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-file-powerpoint-o:before{content:"\f1c4"}.fa.fa-file-image-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-file-image-o:before{content:"\f1c5"}.fa.fa-file-photo-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-file-photo-o:before{content:"\f1c5"}.fa.fa-file-picture-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-file-picture-o:before{content:"\f1c5"}.fa.fa-file-archive-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-file-archive-o:before{content:"\f1c6"}.fa.fa-file-zip-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-file-zip-o:before{content:"\f1c6"}.fa.fa-file-audio-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-file-audio-o:before{content:"\f1c7"}.fa.fa-file-sound-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-file-sound-o:before{content:"\f1c7"}.fa.fa-file-video-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-file-video-o:before{content:"\f1c8"}.fa.fa-file-movie-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-file-movie-o:before{content:"\f1c8"}.fa.fa-file-code-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-file-code-o:before{content:"\f1c9"}.fa.fa-codepen,.fa.fa-jsfiddle,.fa.fa-vine{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-life-bouy:before,.fa.fa-life-buoy:before,.fa.fa-life-saver:before,.fa.fa-support:before{content:"\f1cd"}.fa.fa-circle-o-notch:before{content:"\f1ce"}.fa.fa-ra,.fa.fa-rebel{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-ra:before{content:"\f1d0"}.fa.fa-resistance{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-resistance:before{content:"\f1d0"}.fa.fa-empire,.fa.fa-ge{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-ge:before{content:"\f1d1"}.fa.fa-git-square{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-git-square:before{content:"\f1d2"}.fa.fa-git,.fa.fa-hacker-news,.fa.fa-y-combinator-square{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-y-combinator-square:before{content:"\f1d4"}.fa.fa-yc-square{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-yc-square:before{content:"\f1d4"}.fa.fa-qq,.fa.fa-tencent-weibo,.fa.fa-wechat,.fa.fa-weixin{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-wechat:before{content:"\f1d7"}.fa.fa-send:before{content:"\f1d8"}.fa.fa-paper-plane-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-paper-plane-o:before{content:"\f1d8"}.fa.fa-send-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-send-o:before{content:"\f1d8"}.fa.fa-circle-thin{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-circle-thin:before{content:"\f111"}.fa.fa-header:before{content:"\f1dc"}.fa.fa-futbol-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-futbol-o:before{content:"\f1e3"}.fa.fa-soccer-ball-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-soccer-ball-o:before{content:"\f1e3"}.fa.fa-slideshare,.fa.fa-twitch,.fa.fa-yelp{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-newspaper-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-newspaper-o:before{content:"\f1ea"}.fa.fa-cc-amex,.fa.fa-cc-discover,.fa.fa-cc-mastercard,.fa.fa-cc-paypal,.fa.fa-cc-stripe,.fa.fa-cc-visa,.fa.fa-google-wallet,.fa.fa-paypal{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-bell-slash-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-bell-slash-o:before{content:"\f1f6"}.fa.fa-trash:before{content:"\f2ed"}.fa.fa-copyright{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-eyedropper:before{content:"\f1fb"}.fa.fa-area-chart:before{content:"\f1fe"}.fa.fa-pie-chart:before{content:"\f200"}.fa.fa-line-chart:before{content:"\f201"}.fa.fa-lastfm,.fa.fa-lastfm-square{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-lastfm-square:before{content:"\f203"}.fa.fa-angellist,.fa.fa-ioxhost{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-cc{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-cc:before{content:"\f20a"}.fa.fa-ils:before,.fa.fa-shekel:before,.fa.fa-sheqel:before{content:"\f20b"}.fa.fa-buysellads,.fa.fa-connectdevelop,.fa.fa-dashcube,.fa.fa-forumbee,.fa.fa-leanpub,.fa.fa-sellsy,.fa.fa-shirtsinbulk,.fa.fa-simplybuilt,.fa.fa-skyatlas{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-diamond{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-diamond:before{content:"\f3a5"}.fa.fa-intersex:before,.fa.fa-transgender:before{content:"\f224"}.fa.fa-transgender-alt:before{content:"\f225"}.fa.fa-facebook-official{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-facebook-official:before{content:"\f09a"}.fa.fa-pinterest-p,.fa.fa-whatsapp{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-hotel:before{content:"\f236"}.fa.fa-medium,.fa.fa-viacoin,.fa.fa-y-combinator,.fa.fa-yc{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-yc:before{content:"\f23b"}.fa.fa-expeditedssl,.fa.fa-opencart,.fa.fa-optin-monster{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-battery-4:before,.fa.fa-battery:before{content:"\f240"}.fa.fa-battery-3:before{content:"\f241"}.fa.fa-battery-2:before{content:"\f242"}.fa.fa-battery-1:before{content:"\f243"}.fa.fa-battery-0:before{content:"\f244"}.fa.fa-object-group,.fa.fa-object-ungroup,.fa.fa-sticky-note-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-sticky-note-o:before{content:"\f249"}.fa.fa-cc-diners-club,.fa.fa-cc-jcb{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-clone{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-hourglass-o:before{content:"\f254"}.fa.fa-hourglass-1:before{content:"\f251"}.fa.fa-hourglass-2:before{content:"\f252"}.fa.fa-hourglass-3:before{content:"\f253"}.fa.fa-hand-rock-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-hand-rock-o:before{content:"\f255"}.fa.fa-hand-grab-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-hand-grab-o:before{content:"\f255"}.fa.fa-hand-paper-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-hand-paper-o:before{content:"\f256"}.fa.fa-hand-stop-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-hand-stop-o:before{content:"\f256"}.fa.fa-hand-scissors-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-hand-scissors-o:before{content:"\f257"}.fa.fa-hand-lizard-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-hand-lizard-o:before{content:"\f258"}.fa.fa-hand-spock-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-hand-spock-o:before{content:"\f259"}.fa.fa-hand-pointer-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-hand-pointer-o:before{content:"\f25a"}.fa.fa-hand-peace-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-hand-peace-o:before{content:"\f25b"}.fa.fa-registered{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-creative-commons,.fa.fa-gg,.fa.fa-gg-circle,.fa.fa-odnoklassniki,.fa.fa-odnoklassniki-square{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-odnoklassniki-square:before{content:"\f264"}.fa.fa-chrome,.fa.fa-firefox,.fa.fa-get-pocket,.fa.fa-internet-explorer,.fa.fa-opera,.fa.fa-safari,.fa.fa-wikipedia-w{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-television:before{content:"\f26c"}.fa.fa-500px,.fa.fa-amazon,.fa.fa-contao{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-calendar-plus-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-calendar-plus-o:before{content:"\f271"}.fa.fa-calendar-minus-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-calendar-minus-o:before{content:"\f272"}.fa.fa-calendar-times-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-calendar-times-o:before{content:"\f273"}.fa.fa-calendar-check-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-calendar-check-o:before{content:"\f274"}.fa.fa-map-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-map-o:before{content:"\f279"}.fa.fa-commenting:before{content:"\f4ad"}.fa.fa-commenting-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-commenting-o:before{content:"\f4ad"}.fa.fa-houzz,.fa.fa-vimeo{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-vimeo:before{content:"\f27d"}.fa.fa-black-tie,.fa.fa-edge,.fa.fa-fonticons,.fa.fa-reddit-alien{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-credit-card-alt:before{content:"\f09d"}.fa.fa-codiepie,.fa.fa-fort-awesome,.fa.fa-mixcloud,.fa.fa-modx,.fa.fa-product-hunt,.fa.fa-scribd,.fa.fa-usb{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-pause-circle-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-pause-circle-o:before{content:"\f28b"}.fa.fa-stop-circle-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-stop-circle-o:before{content:"\f28d"}.fa.fa-bluetooth,.fa.fa-bluetooth-b,.fa.fa-envira,.fa.fa-gitlab,.fa.fa-wheelchair-alt,.fa.fa-wpbeginner,.fa.fa-wpforms{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-wheelchair-alt:before{content:"\f368"}.fa.fa-question-circle-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-question-circle-o:before{content:"\f059"}.fa.fa-volume-control-phone:before{content:"\f2a0"}.fa.fa-asl-interpreting:before{content:"\f2a3"}.fa.fa-deafness:before,.fa.fa-hard-of-hearing:before{content:"\f2a4"}.fa.fa-glide,.fa.fa-glide-g{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-signing:before{content:"\f2a7"}.fa.fa-viadeo,.fa.fa-viadeo-square{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-viadeo-square:before{content:"\f2aa"}.fa.fa-snapchat,.fa.fa-snapchat-ghost{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-snapchat-ghost:before{content:"\f2ab"}.fa.fa-snapchat-square{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-snapchat-square:before{content:"\f2ad"}.fa.fa-first-order,.fa.fa-google-plus-official,.fa.fa-pied-piper,.fa.fa-themeisle,.fa.fa-yoast{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-google-plus-official:before{content:"\f2b3"}.fa.fa-google-plus-circle{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-google-plus-circle:before{content:"\f2b3"}.fa.fa-fa,.fa.fa-font-awesome{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-fa:before{content:"\f2b4"}.fa.fa-handshake-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-handshake-o:before{content:"\f2b5"}.fa.fa-envelope-open-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-envelope-open-o:before{content:"\f2b6"}.fa.fa-linode{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-address-book-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-address-book-o:before{content:"\f2b9"}.fa.fa-vcard:before{content:"\f2bb"}.fa.fa-address-card-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-address-card-o:before{content:"\f2bb"}.fa.fa-vcard-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-vcard-o:before{content:"\f2bb"}.fa.fa-user-circle-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-user-circle-o:before{content:"\f2bd"}.fa.fa-user-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-user-o:before{content:"\f007"}.fa.fa-id-badge{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-drivers-license:before{content:"\f2c2"}.fa.fa-id-card-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-id-card-o:before{content:"\f2c2"}.fa.fa-drivers-license-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-drivers-license-o:before{content:"\f2c2"}.fa.fa-free-code-camp,.fa.fa-quora,.fa.fa-telegram{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-thermometer-4:before,.fa.fa-thermometer:before{content:"\f2c7"}.fa.fa-thermometer-3:before{content:"\f2c8"}.fa.fa-thermometer-2:before{content:"\f2c9"}.fa.fa-thermometer-1:before{content:"\f2ca"}.fa.fa-thermometer-0:before{content:"\f2cb"}.fa.fa-bathtub:before,.fa.fa-s15:before{content:"\f2cd"}.fa.fa-window-maximize,.fa.fa-window-restore{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-times-rectangle:before{content:"\f410"}.fa.fa-window-close-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-window-close-o:before{content:"\f410"}.fa.fa-times-rectangle-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-times-rectangle-o:before{content:"\f410"}.fa.fa-bandcamp,.fa.fa-eercast,.fa.fa-etsy,.fa.fa-grav,.fa.fa-imdb,.fa.fa-ravelry{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-eercast:before{content:"\f2da"}.fa.fa-snowflake-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-snowflake-o:before{content:"\f2dc"}.fa.fa-meetup,.fa.fa-superpowers,.fa.fa-wpexplorer{font-family:"Font Awesome 6 Brands";font-weight:400}
\ No newline at end of file
diff --git a/deps/font-awesome-6.4.2/webfonts/fa-brands-400.ttf b/deps/font-awesome-6.4.2/webfonts/fa-brands-400.ttf
new file mode 100644
index 00000000..30f55b74
Binary files /dev/null and b/deps/font-awesome-6.4.2/webfonts/fa-brands-400.ttf differ
diff --git a/deps/font-awesome-6.4.2/webfonts/fa-brands-400.woff2 b/deps/font-awesome-6.4.2/webfonts/fa-brands-400.woff2
new file mode 100644
index 00000000..8a480d9b
Binary files /dev/null and b/deps/font-awesome-6.4.2/webfonts/fa-brands-400.woff2 differ
diff --git a/deps/font-awesome-6.4.2/webfonts/fa-regular-400.ttf b/deps/font-awesome-6.4.2/webfonts/fa-regular-400.ttf
new file mode 100644
index 00000000..c79589d8
Binary files /dev/null and b/deps/font-awesome-6.4.2/webfonts/fa-regular-400.ttf differ
diff --git a/deps/font-awesome-6.4.2/webfonts/fa-regular-400.woff2 b/deps/font-awesome-6.4.2/webfonts/fa-regular-400.woff2
new file mode 100644
index 00000000..059a94e2
Binary files /dev/null and b/deps/font-awesome-6.4.2/webfonts/fa-regular-400.woff2 differ
diff --git a/deps/font-awesome-6.4.2/webfonts/fa-solid-900.ttf b/deps/font-awesome-6.4.2/webfonts/fa-solid-900.ttf
new file mode 100644
index 00000000..e479fb29
Binary files /dev/null and b/deps/font-awesome-6.4.2/webfonts/fa-solid-900.ttf differ
diff --git a/deps/font-awesome-6.4.2/webfonts/fa-solid-900.woff2 b/deps/font-awesome-6.4.2/webfonts/fa-solid-900.woff2
new file mode 100644
index 00000000..88b0367a
Binary files /dev/null and b/deps/font-awesome-6.4.2/webfonts/fa-solid-900.woff2 differ
diff --git a/deps/font-awesome-6.4.2/webfonts/fa-v4compatibility.ttf b/deps/font-awesome-6.4.2/webfonts/fa-v4compatibility.ttf
new file mode 100644
index 00000000..ba6cb258
Binary files /dev/null and b/deps/font-awesome-6.4.2/webfonts/fa-v4compatibility.ttf differ
diff --git a/deps/font-awesome-6.4.2/webfonts/fa-v4compatibility.woff2 b/deps/font-awesome-6.4.2/webfonts/fa-v4compatibility.woff2
new file mode 100644
index 00000000..23b1c47b
Binary files /dev/null and b/deps/font-awesome-6.4.2/webfonts/fa-v4compatibility.woff2 differ
diff --git a/deps/headroom-0.11.0/headroom.min.js b/deps/headroom-0.11.0/headroom.min.js
new file mode 100644
index 00000000..433069fd
--- /dev/null
+++ b/deps/headroom-0.11.0/headroom.min.js
@@ -0,0 +1,7 @@
+/*!
+ * headroom.js v0.11.0 - Give your page some headroom. Hide your header until you need it
+ * Copyright (c) 2020 Nick Williams - http://wicky.nillia.ms/headroom.js
+ * License: MIT
+ */
+
+!function(t,n){"object"==typeof exports&&"undefined"!=typeof module?module.exports=n():"function"==typeof define&&define.amd?define(n):(t=t||self).Headroom=n()}(this,function(){"use strict";function t(){return"undefined"!=typeof window}function d(t){return function(t){return t&&t.document&&function(t){return 9===t.nodeType}(t.document)}(t)?function(t){var n=t.document,o=n.body,s=n.documentElement;return{scrollHeight:function(){return Math.max(o.scrollHeight,s.scrollHeight,o.offsetHeight,s.offsetHeight,o.clientHeight,s.clientHeight)},height:function(){return t.innerHeight||s.clientHeight||o.clientHeight},scrollY:function(){return void 0!==t.pageYOffset?t.pageYOffset:(s||o.parentNode||o).scrollTop}}}(t):function(t){return{scrollHeight:function(){return Math.max(t.scrollHeight,t.offsetHeight,t.clientHeight)},height:function(){return Math.max(t.offsetHeight,t.clientHeight)},scrollY:function(){return t.scrollTop}}}(t)}function n(t,s,e){var n,o=function(){var n=!1;try{var t={get passive(){n=!0}};window.addEventListener("test",t,t),window.removeEventListener("test",t,t)}catch(t){n=!1}return n}(),i=!1,r=d(t),l=r.scrollY(),a={};function c(){var t=Math.round(r.scrollY()),n=r.height(),o=r.scrollHeight();a.scrollY=t,a.lastScrollY=l,a.direction=l<t?"down":"up",a.distance=Math.abs(t-l),a.isOutOfBounds=t<0||o<t+n,a.top=t<=s.offset,a.bottom=o<=t+n,a.toleranceExceeded=a.distance>s.tolerance[a.direction],e(a),l=t,i=!1}function h(){i||(i=!0,n=requestAnimationFrame(c))}var u=!!o&&{passive:!0,capture:!1};return t.addEventListener("scroll",h,u),c(),{destroy:function(){cancelAnimationFrame(n),t.removeEventListener("scroll",h,u)}}}function o(t,n){n=n||{},Object.assign(this,o.options,n),this.classes=Object.assign({},o.options.classes,n.classes),this.elem=t,this.tolerance=function(t){return t===Object(t)?t:{down:t,up:t}}(this.tolerance),this.initialised=!1,this.frozen=!1}return o.prototype={constructor:o,init:function(){return o.cutsTheMustard&&!this.initialised&&(this.addClass("initial"),this.initialised=!0,setTimeout(function(t){t.scrollTracker=n(t.scroller,{offset:t.offset,tolerance:t.tolerance},t.update.bind(t))},100,this)),this},destroy:function(){this.initialised=!1,Object.keys(this.classes).forEach(this.removeClass,this),this.scrollTracker.destroy()},unpin:function(){!this.hasClass("pinned")&&this.hasClass("unpinned")||(this.addClass("unpinned"),this.removeClass("pinned"),this.onUnpin&&this.onUnpin.call(this))},pin:function(){this.hasClass("unpinned")&&(this.addClass("pinned"),this.removeClass("unpinned"),this.onPin&&this.onPin.call(this))},freeze:function(){this.frozen=!0,this.addClass("frozen")},unfreeze:function(){this.frozen=!1,this.removeClass("frozen")},top:function(){this.hasClass("top")||(this.addClass("top"),this.removeClass("notTop"),this.onTop&&this.onTop.call(this))},notTop:function(){this.hasClass("notTop")||(this.addClass("notTop"),this.removeClass("top"),this.onNotTop&&this.onNotTop.call(this))},bottom:function(){this.hasClass("bottom")||(this.addClass("bottom"),this.removeClass("notBottom"),this.onBottom&&this.onBottom.call(this))},notBottom:function(){this.hasClass("notBottom")||(this.addClass("notBottom"),this.removeClass("bottom"),this.onNotBottom&&this.onNotBottom.call(this))},shouldUnpin:function(t){return"down"===t.direction&&!t.top&&t.toleranceExceeded},shouldPin:function(t){return"up"===t.direction&&t.toleranceExceeded||t.top},addClass:function(t){this.elem.classList.add.apply(this.elem.classList,this.classes[t].split(" "))},removeClass:function(t){this.elem.classList.remove.apply(this.elem.classList,this.classes[t].split(" "))},hasClass:function(t){return this.classes[t].split(" ").every(function(t){return this.classList.contains(t)},this.elem)},update:function(t){t.isOutOfBounds||!0!==this.frozen&&(t.top?this.top():this.notTop(),t.bottom?this.bottom():this.notBottom(),this.shouldUnpin(t)?this.unpin():this.shouldPin(t)&&this.pin())}},o.options={tolerance:{up:0,down:0},offset:0,scroller:t()?window:null,classes:{frozen:"headroom--frozen",pinned:"headroom--pinned",unpinned:"headroom--unpinned",top:"headroom--top",notTop:"headroom--not-top",bottom:"headroom--bottom",notBottom:"headroom--not-bottom",initial:"headroom"}},o.cutsTheMustard=!!(t()&&function(){}.bind&&"classList"in document.documentElement&&Object.assign&&Object.keys&&requestAnimationFrame),o});
\ No newline at end of file
diff --git a/deps/headroom-0.11.0/jQuery.headroom.min.js b/deps/headroom-0.11.0/jQuery.headroom.min.js
new file mode 100644
index 00000000..17f70c9e
--- /dev/null
+++ b/deps/headroom-0.11.0/jQuery.headroom.min.js
@@ -0,0 +1,7 @@
+/*!
+ * headroom.js v0.9.4 - Give your page some headroom. Hide your header until you need it
+ * Copyright (c) 2017 Nick Williams - http://wicky.nillia.ms/headroom.js
+ * License: MIT
+ */
+
+!function(a){a&&(a.fn.headroom=function(b){return this.each(function(){var c=a(this),d=c.data("headroom"),e="object"==typeof b&&b;e=a.extend(!0,{},Headroom.options,e),d||(d=new Headroom(this,e),d.init(),c.data("headroom",d)),"string"==typeof b&&(d[b](),"destroy"===b&&c.removeData("headroom"))})},a("[data-headroom]").each(function(){var b=a(this);b.headroom(b.data())}))}(window.Zepto||window.jQuery);
\ No newline at end of file
diff --git a/deps/search-1.0.0/autocomplete.jquery.min.js b/deps/search-1.0.0/autocomplete.jquery.min.js
new file mode 100644
index 00000000..fb63a6a2
--- /dev/null
+++ b/deps/search-1.0.0/autocomplete.jquery.min.js
@@ -0,0 +1,7 @@
+/*!
+ * autocomplete.js 0.38.0
+ * https://github.com/algolia/autocomplete.js
+ * Copyright 2020 Algolia, Inc. and other contributors; Licensed MIT
+ */
+!function(a){function b(d){if(c[d])return c[d].exports;var e=c[d]={exports:{},id:d,loaded:!1};return a[d].call(e.exports,e,e.exports,b),e.loaded=!0,e.exports}var c={};b.m=a,b.c=c,b.p="",b(0)}([function(a,b,c){"use strict";a.exports=c(1)},function(a,b,c){"use strict";var d=c(2),e=c(3);d.element=e;var f=c(4);f.isArray=e.isArray,f.isFunction=e.isFunction,f.isObject=e.isPlainObject,f.bind=e.proxy,f.each=function(a,b){function c(a,c){return b(c,a)}e.each(a,c)},f.map=e.map,f.mixin=e.extend,f.Event=e.Event;var g,h,i,j=c(5),k=c(6);g=e.fn.autocomplete,h="aaAutocomplete",i={initialize:function(a,b){function c(){var c,d=e(this),f=new k({el:d});c=new j({input:d,eventBus:f,dropdownMenuContainer:a.dropdownMenuContainer,hint:void 0===a.hint||!!a.hint,minLength:a.minLength,autoselect:a.autoselect,autoselectOnBlur:a.autoselectOnBlur,tabAutocomplete:a.tabAutocomplete,openOnFocus:a.openOnFocus,templates:a.templates,debug:a.debug,clearOnSelected:a.clearOnSelected,cssClasses:a.cssClasses,datasets:b,keyboardShortcuts:a.keyboardShortcuts,appendTo:a.appendTo,autoWidth:a.autoWidth}),d.data(h,c)}return b=f.isArray(b)?b:[].slice.call(arguments,1),a=a||{},this.each(c)},open:function(){function a(){var a,b=e(this);(a=b.data(h))&&a.open()}return this.each(a)},close:function(){function a(){var a,b=e(this);(a=b.data(h))&&a.close()}return this.each(a)},val:function(a){function b(){var b,c=e(this);(b=c.data(h))&&b.setVal(a)}return arguments.length?this.each(b):function(a){var b,c;return(b=a.data(h))&&(c=b.getVal()),c}(this.first())},destroy:function(){function a(){var a,b=e(this);(a=b.data(h))&&(a.destroy(),b.removeData(h))}return this.each(a)}},e.fn.autocomplete=function(a){var b;return i[a]&&"initialize"!==a?(b=this.filter(function(){return!!e(this).data(h)}),i[a].apply(b,[].slice.call(arguments,1))):i.initialize.apply(this,arguments)},e.fn.autocomplete.noConflict=function(){return e.fn.autocomplete=g,this},e.fn.autocomplete.sources=j.sources,e.fn.autocomplete.escapeHighlightedString=f.escapeHighlightedString,a.exports=e.fn.autocomplete},function(a,b){"use strict";a.exports={element:null}},function(a,b){a.exports=jQuery},function(a,b,c){"use strict";function d(a){return a.replace(/[\-\[\]\/\{\}\(\)\*\+\?\.\\\^\$\|]/g,"\\$&")}var e=c(2);a.exports={isArray:null,isFunction:null,isObject:null,bind:null,each:null,map:null,mixin:null,isMsie:function(a){if(void 0===a&&(a=navigator.userAgent),/(msie|trident)/i.test(a)){var b=a.match(/(msie |rv:)(\d+(.\d+)?)/i);if(b)return b[2]}return!1},escapeRegExChars:function(a){return a.replace(/[\-\[\]\/\{\}\(\)\*\+\?\.\\\^\$\|]/g,"\\$&")},isNumber:function(a){return"number"==typeof a},toStr:function(a){return void 0===a||null===a?"":a+""},cloneDeep:function(a){var b=this.mixin({},a),c=this;return this.each(b,function(a,d){a&&(c.isArray(a)?b[d]=[].concat(a):c.isObject(a)&&(b[d]=c.cloneDeep(a)))}),b},error:function(a){throw new Error(a)},every:function(a,b){var c=!0;return a?(this.each(a,function(d,e){c&&(c=b.call(null,d,e,a)&&c)}),!!c):c},any:function(a,b){var c=!1;return a?(this.each(a,function(d,e){if(b.call(null,d,e,a))return c=!0,!1}),c):c},getUniqueId:function(){var a=0;return function(){return a++}}(),templatify:function(a){if(this.isFunction(a))return a;var b=e.element(a);return"SCRIPT"===b.prop("tagName")?function(){return b.text()}:function(){return String(a)}},defer:function(a){setTimeout(a,0)},noop:function(){},formatPrefix:function(a,b){return b?"":a+"-"},className:function(a,b,c){return(c?"":".")+a+b},escapeHighlightedString:function(a,b,c){b=b||"<em>";var e=document.createElement("div");e.appendChild(document.createTextNode(b)),c=c||"</em>";var f=document.createElement("div");f.appendChild(document.createTextNode(c));var g=document.createElement("div");return g.appendChild(document.createTextNode(a)),g.innerHTML.replace(RegExp(d(e.innerHTML),"g"),b).replace(RegExp(d(f.innerHTML),"g"),c)}}},function(a,b,c){"use strict";function d(a){var b,c;if(a=a||{},a.input||i.error("missing input"),this.isActivated=!1,this.debug=!!a.debug,this.autoselect=!!a.autoselect,this.autoselectOnBlur=!!a.autoselectOnBlur,this.openOnFocus=!!a.openOnFocus,this.minLength=i.isNumber(a.minLength)?a.minLength:1,this.autoWidth=void 0===a.autoWidth||!!a.autoWidth,this.clearOnSelected=!!a.clearOnSelected,this.tabAutocomplete=void 0===a.tabAutocomplete||!!a.tabAutocomplete,a.hint=!!a.hint,a.hint&&a.appendTo)throw new Error("[autocomplete.js] hint and appendTo options can't be used at the same time");this.css=a.css=i.mixin({},o,a.appendTo?o.appendTo:{}),this.cssClasses=a.cssClasses=i.mixin({},o.defaultClasses,a.cssClasses||{}),this.cssClasses.prefix=a.cssClasses.formattedPrefix=i.formatPrefix(this.cssClasses.prefix,this.cssClasses.noPrefix),this.listboxId=a.listboxId=[this.cssClasses.root,"listbox",i.getUniqueId()].join("-");var f=e(a);this.$node=f.wrapper;var g=this.$input=f.input;b=f.menu,c=f.hint,a.dropdownMenuContainer&&j.element(a.dropdownMenuContainer).css("position","relative").append(b.css("top","0")),g.on("blur.aa",function(a){var c=document.activeElement;i.isMsie()&&(b[0]===c||b[0].contains(c))&&(a.preventDefault(),a.stopImmediatePropagation(),i.defer(function(){g.focus()}))}),b.on("mousedown.aa",function(a){a.preventDefault()}),this.eventBus=a.eventBus||new k({el:g}),this.dropdown=new d.Dropdown({appendTo:a.appendTo,wrapper:this.$node,menu:b,datasets:a.datasets,templates:a.templates,cssClasses:a.cssClasses,minLength:this.minLength}).onSync("suggestionClicked",this._onSuggestionClicked,this).onSync("cursorMoved",this._onCursorMoved,this).onSync("cursorRemoved",this._onCursorRemoved,this).onSync("opened",this._onOpened,this).onSync("closed",this._onClosed,this).onSync("shown",this._onShown,this).onSync("empty",this._onEmpty,this).onSync("redrawn",this._onRedrawn,this).onAsync("datasetRendered",this._onDatasetRendered,this),this.input=new d.Input({input:g,hint:c}).onSync("focused",this._onFocused,this).onSync("blurred",this._onBlurred,this).onSync("enterKeyed",this._onEnterKeyed,this).onSync("tabKeyed",this._onTabKeyed,this).onSync("escKeyed",this._onEscKeyed,this).onSync("upKeyed",this._onUpKeyed,this).onSync("downKeyed",this._onDownKeyed,this).onSync("leftKeyed",this._onLeftKeyed,this).onSync("rightKeyed",this._onRightKeyed,this).onSync("queryChanged",this._onQueryChanged,this).onSync("whitespaceChanged",this._onWhitespaceChanged,this),this._bindKeyboardShortcuts(a),this._setLanguageDirection()}function e(a){var b,c,d,e;b=j.element(a.input),c=j.element(n.wrapper.replace("%ROOT%",a.cssClasses.root)).css(a.css.wrapper),a.appendTo||"block"!==b.css("display")||"table"!==b.parent().css("display")||c.css("display","table-cell");var g=n.dropdown.replace("%PREFIX%",a.cssClasses.prefix).replace("%DROPDOWN_MENU%",a.cssClasses.dropdownMenu);d=j.element(g).css(a.css.dropdown).attr({role:"listbox",id:a.listboxId}),a.templates&&a.templates.dropdownMenu&&d.html(i.templatify(a.templates.dropdownMenu)()),e=b.clone().css(a.css.hint).css(f(b)),e.val("").addClass(i.className(a.cssClasses.prefix,a.cssClasses.hint,!0)).removeAttr("id name placeholder required").prop("readonly",!0).attr({"aria-hidden":"true",autocomplete:"off",spellcheck:"false",tabindex:-1}),e.removeData&&e.removeData(),b.data(h,{"aria-autocomplete":b.attr("aria-autocomplete"),"aria-expanded":b.attr("aria-expanded"),"aria-owns":b.attr("aria-owns"),autocomplete:b.attr("autocomplete"),dir:b.attr("dir"),role:b.attr("role"),spellcheck:b.attr("spellcheck"),style:b.attr("style"),type:b.attr("type")}),b.addClass(i.className(a.cssClasses.prefix,a.cssClasses.input,!0)).attr({autocomplete:"off",spellcheck:!1,role:"combobox","aria-autocomplete":a.datasets&&a.datasets[0]&&a.datasets[0].displayKey?"both":"list","aria-expanded":"false","aria-label":a.ariaLabel,"aria-owns":a.listboxId}).css(a.hint?a.css.input:a.css.inputWithNoHint);try{b.attr("dir")||b.attr("dir","auto")}catch(a){}return c=a.appendTo?c.appendTo(j.element(a.appendTo).eq(0)).eq(0):b.wrap(c).parent(),c.prepend(a.hint?e:null).append(d),{wrapper:c,input:b,hint:e,menu:d}}function f(a){return{backgroundAttachment:a.css("background-attachment"),backgroundClip:a.css("background-clip"),backgroundColor:a.css("background-color"),backgroundImage:a.css("background-image"),backgroundOrigin:a.css("background-origin"),backgroundPosition:a.css("background-position"),backgroundRepeat:a.css("background-repeat"),backgroundSize:a.css("background-size")}}function g(a,b){var c=a.find(i.className(b.prefix,b.input));i.each(c.data(h),function(a,b){void 0===a?c.removeAttr(b):c.attr(b,a)}),c.detach().removeClass(i.className(b.prefix,b.input,!0)).insertAfter(a),c.removeData&&c.removeData(h),a.remove()}var h="aaAttrs",i=c(4),j=c(2),k=c(6),l=c(7),m=c(16),n=c(18),o=c(19);i.mixin(d.prototype,{_bindKeyboardShortcuts:function(a){if(a.keyboardShortcuts){var b=this.$input,c=[];i.each(a.keyboardShortcuts,function(a){"string"==typeof a&&(a=a.toUpperCase().charCodeAt(0)),c.push(a)}),j.element(document).keydown(function(a){var d=a.target||a.srcElement,e=d.tagName;if(!d.isContentEditable&&"INPUT"!==e&&"SELECT"!==e&&"TEXTAREA"!==e){var f=a.which||a.keyCode;c.indexOf(f)!==-1&&(b.focus(),a.stopPropagation(),a.preventDefault())}})}},_onSuggestionClicked:function(a,b){var c,d={selectionMethod:"click"};(c=this.dropdown.getDatumForSuggestion(b))&&this._select(c,d)},_onCursorMoved:function(a,b){var c=this.dropdown.getDatumForCursor(),d=this.dropdown.getCurrentCursor().attr("id");this.input.setActiveDescendant(d),c&&(b&&this.input.setInputValue(c.value,!0),this.eventBus.trigger("cursorchanged",c.raw,c.datasetName))},_onCursorRemoved:function(){this.input.resetInputValue(),this._updateHint(),this.eventBus.trigger("cursorremoved")},_onDatasetRendered:function(){this._updateHint(),this.eventBus.trigger("updated")},_onOpened:function(){this._updateHint(),this.input.expand(),this.eventBus.trigger("opened")},_onEmpty:function(){this.eventBus.trigger("empty")},_onRedrawn:function(){this.$node.css("top","0px"),this.$node.css("left","0px");var a=this.$input[0].getBoundingClientRect();this.autoWidth&&this.$node.css("width",a.width+"px");var b=this.$node[0].getBoundingClientRect(),c=a.bottom-b.top;this.$node.css("top",c+"px");var d=a.left-b.left;this.$node.css("left",d+"px"),this.eventBus.trigger("redrawn")},_onShown:function(){this.eventBus.trigger("shown"),this.autoselect&&this.dropdown.cursorTopSuggestion()},_onClosed:function(){this.input.clearHint(),this.input.removeActiveDescendant(),this.input.collapse(),this.eventBus.trigger("closed")},_onFocused:function(){if(this.isActivated=!0,this.openOnFocus){var a=this.input.getQuery();a.length>=this.minLength?this.dropdown.update(a):this.dropdown.empty(),this.dropdown.open()}},_onBlurred:function(){var a,b;a=this.dropdown.getDatumForCursor(),b=this.dropdown.getDatumForTopSuggestion();var c={selectionMethod:"blur"};this.debug||(this.autoselectOnBlur&&a?this._select(a,c):this.autoselectOnBlur&&b?this._select(b,c):(this.isActivated=!1,this.dropdown.empty(),this.dropdown.close()))},_onEnterKeyed:function(a,b){var c,d;c=this.dropdown.getDatumForCursor(),d=this.dropdown.getDatumForTopSuggestion();var e={selectionMethod:"enterKey"};c?(this._select(c,e),b.preventDefault()):this.autoselect&&d&&(this._select(d,e),b.preventDefault())},_onTabKeyed:function(a,b){if(!this.tabAutocomplete)return void this.dropdown.close();var c,d={selectionMethod:"tabKey"};(c=this.dropdown.getDatumForCursor())?(this._select(c,d),b.preventDefault()):this._autocomplete(!0)},_onEscKeyed:function(){this.dropdown.close(),this.input.resetInputValue()},_onUpKeyed:function(){var a=this.input.getQuery();this.dropdown.isEmpty&&a.length>=this.minLength?this.dropdown.update(a):this.dropdown.moveCursorUp(),this.dropdown.open()},_onDownKeyed:function(){var a=this.input.getQuery();this.dropdown.isEmpty&&a.length>=this.minLength?this.dropdown.update(a):this.dropdown.moveCursorDown(),this.dropdown.open()},_onLeftKeyed:function(){"rtl"===this.dir&&this._autocomplete()},_onRightKeyed:function(){"ltr"===this.dir&&this._autocomplete()},_onQueryChanged:function(a,b){this.input.clearHintIfInvalid(),b.length>=this.minLength?this.dropdown.update(b):this.dropdown.empty(),this.dropdown.open(),this._setLanguageDirection()},_onWhitespaceChanged:function(){this._updateHint(),this.dropdown.open()},_setLanguageDirection:function(){var a=this.input.getLanguageDirection();this.dir!==a&&(this.dir=a,this.$node.css("direction",a),this.dropdown.setLanguageDirection(a))},_updateHint:function(){var a,b,c,d,e,f;a=this.dropdown.getDatumForTopSuggestion(),a&&this.dropdown.isVisible()&&!this.input.hasOverflow()?(b=this.input.getInputValue(),c=l.normalizeQuery(b),d=i.escapeRegExChars(c),e=new RegExp("^(?:"+d+")(.+$)","i"),f=e.exec(a.value),f?this.input.setHint(b+f[1]):this.input.clearHint()):this.input.clearHint()},_autocomplete:function(a){var b,c,d,e;b=this.input.getHint(),c=this.input.getQuery(),d=a||this.input.isCursorAtEnd(),b&&c!==b&&d&&(e=this.dropdown.getDatumForTopSuggestion(),e&&this.input.setInputValue(e.value),this.eventBus.trigger("autocompleted",e.raw,e.datasetName))},_select:function(a,b){void 0!==a.value&&this.input.setQuery(a.value),this.clearOnSelected?this.setVal(""):this.input.setInputValue(a.value,!0),this._setLanguageDirection(),this.eventBus.trigger("selected",a.raw,a.datasetName,b).isDefaultPrevented()===!1&&(this.dropdown.close(),i.defer(i.bind(this.dropdown.empty,this.dropdown)))},open:function(){if(!this.isActivated){var a=this.input.getInputValue();a.length>=this.minLength?this.dropdown.update(a):this.dropdown.empty()}this.dropdown.open()},close:function(){this.dropdown.close()},setVal:function(a){a=i.toStr(a),this.isActivated?this.input.setInputValue(a):(this.input.setQuery(a),this.input.setInputValue(a,!0)),this._setLanguageDirection()},getVal:function(){return this.input.getQuery()},destroy:function(){this.input.destroy(),this.dropdown.destroy(),g(this.$node,this.cssClasses),this.$node=null},getWrapper:function(){return this.dropdown.$container[0]}}),d.Dropdown=m,d.Input=l,d.sources=c(20),a.exports=d},function(a,b,c){"use strict";function d(a){a&&a.el||e.error("EventBus initialized without el"),this.$el=f.element(a.el)}var e=c(4),f=c(2);e.mixin(d.prototype,{trigger:function(a,b,c,d){var f=e.Event("autocomplete:"+a);return this.$el.trigger(f,[b,c,d]),f}}),a.exports=d},function(a,b,c){"use strict";function d(a){var b,c,d,f,g=this;a=a||{},a.input||i.error("input is missing"),b=i.bind(this._onBlur,this),c=i.bind(this._onFocus,this),d=i.bind(this._onKeydown,this),f=i.bind(this._onInput,this),this.$hint=j.element(a.hint),this.$input=j.element(a.input).on("blur.aa",b).on("focus.aa",c).on("keydown.aa",d),0===this.$hint.length&&(this.setHint=this.getHint=this.clearHint=this.clearHintIfInvalid=i.noop),i.isMsie()?this.$input.on("keydown.aa keypress.aa cut.aa paste.aa",function(a){h[a.which||a.keyCode]||i.defer(i.bind(g._onInput,g,a))}):this.$input.on("input.aa",f),this.query=this.$input.val(),this.$overflowHelper=e(this.$input)}function e(a){return j.element('<pre aria-hidden="true"></pre>').css({position:"absolute",visibility:"hidden",whiteSpace:"pre",fontFamily:a.css("font-family"),fontSize:a.css("font-size"),fontStyle:a.css("font-style"),fontVariant:a.css("font-variant"),fontWeight:a.css("font-weight"),wordSpacing:a.css("word-spacing"),letterSpacing:a.css("letter-spacing"),textIndent:a.css("text-indent"),textRendering:a.css("text-rendering"),textTransform:a.css("text-transform")}).insertAfter(a)}function f(a,b){return d.normalizeQuery(a)===d.normalizeQuery(b)}function g(a){return a.altKey||a.ctrlKey||a.metaKey||a.shiftKey}var h;h={9:"tab",27:"esc",37:"left",39:"right",13:"enter",38:"up",40:"down"};var i=c(4),j=c(2),k=c(8);d.normalizeQuery=function(a){return(a||"").replace(/^\s*/g,"").replace(/\s{2,}/g," ")},i.mixin(d.prototype,k,{_onBlur:function(){this.resetInputValue(),this.$input.removeAttr("aria-activedescendant"),this.trigger("blurred")},_onFocus:function(){this.trigger("focused")},_onKeydown:function(a){var b=h[a.which||a.keyCode];this._managePreventDefault(b,a),b&&this._shouldTrigger(b,a)&&this.trigger(b+"Keyed",a)},_onInput:function(){this._checkInputValue()},_managePreventDefault:function(a,b){var c,d,e;switch(a){case"tab":d=this.getHint(),e=this.getInputValue(),c=d&&d!==e&&!g(b);break;case"up":case"down":c=!g(b);break;default:c=!1}c&&b.preventDefault()},_shouldTrigger:function(a,b){var c;switch(a){case"tab":c=!g(b);break;default:c=!0}return c},_checkInputValue:function(){var a,b,c;a=this.getInputValue(),b=f(a,this.query),c=!(!b||!this.query)&&this.query.length!==a.length,this.query=a,b?c&&this.trigger("whitespaceChanged",this.query):this.trigger("queryChanged",this.query)},focus:function(){this.$input.focus()},blur:function(){this.$input.blur()},getQuery:function(){return this.query},setQuery:function(a){this.query=a},getInputValue:function(){return this.$input.val()},setInputValue:function(a,b){void 0===a&&(a=this.query),this.$input.val(a),b?this.clearHint():this._checkInputValue()},expand:function(){this.$input.attr("aria-expanded","true")},collapse:function(){this.$input.attr("aria-expanded","false")},setActiveDescendant:function(a){this.$input.attr("aria-activedescendant",a)},removeActiveDescendant:function(){this.$input.removeAttr("aria-activedescendant")},resetInputValue:function(){this.setInputValue(this.query,!0)},getHint:function(){return this.$hint.val()},setHint:function(a){this.$hint.val(a)},clearHint:function(){this.setHint("")},clearHintIfInvalid:function(){var a,b,c,d;a=this.getInputValue(),b=this.getHint(),c=a!==b&&0===b.indexOf(a),(d=""!==a&&c&&!this.hasOverflow())||this.clearHint()},getLanguageDirection:function(){return(this.$input.css("direction")||"ltr").toLowerCase()},hasOverflow:function(){var a=this.$input.width()-2;return this.$overflowHelper.text(this.getInputValue()),this.$overflowHelper.width()>=a},isCursorAtEnd:function(){var a,b,c;return a=this.$input.val().length,b=this.$input[0].selectionStart,i.isNumber(b)?b===a:!document.selection||(c=document.selection.createRange(),c.moveStart("character",-a),a===c.text.length)},destroy:function(){this.$hint.off(".aa"),this.$input.off(".aa"),this.$hint=this.$input=this.$overflowHelper=null}}),a.exports=d},function(a,b,c){"use strict";function d(a,b,c,d){var e;if(!c)return this;for(b=b.split(l),c=d?j(c,d):c,this._callbacks=this._callbacks||{};e=b.shift();)this._callbacks[e]=this._callbacks[e]||{sync:[],async:[]},this._callbacks[e][a].push(c);return this}function e(a,b,c){return d.call(this,"async",a,b,c)}function f(a,b,c){return d.call(this,"sync",a,b,c)}function g(a){var b;if(!this._callbacks)return this;for(a=a.split(l);b=a.shift();)delete this._callbacks[b];return this}function h(a){var b,c,d,e,f;if(!this._callbacks)return this;for(a=a.split(l),d=[].slice.call(arguments,1);(b=a.shift())&&(c=this._callbacks[b]);)e=i(c.sync,this,[b].concat(d)),f=i(c.async,this,[b].concat(d)),e()&&k(f);return this}function i(a,b,c){function d(){for(var d,e=0,f=a.length;!d&&e<f;e+=1)d=a[e].apply(b,c)===!1;return!d}return d}function j(a,b){return a.bind?a.bind(b):function(){a.apply(b,[].slice.call(arguments,0))}}var k=c(9),l=/\s+/;a.exports={onSync:f,onAsync:e,off:g,trigger:h}},function(a,b,c){"use strict";function d(){h&&i&&(h=!1,i.length?m=i.concat(m):l=-1,m.length&&e())}function e(){if(!h){n=!1,h=!0;for(var a=m.length,b=setTimeout(d);a;){for(i=m,m=[];i&&++l<a;)i[l].run();l=-1,a=m.length}i=null,l=-1,h=!1,clearTimeout(b)}}function f(a,b){this.fun=a,this.array=b}function g(a){var b=new Array(arguments.length-1);if(arguments.length>1)for(var c=1;c<arguments.length;c++)b[c-1]=arguments[c];m.push(new f(a,b)),n||h||(n=!0,j())}for(var h,i,j,k=[c(10),c(12),c(13),c(14),c(15)],l=-1,m=[],n=!1,o=-1,p=k.length;++o<p;)if(k[o]&&k[o].test&&k[o].test()){j=k[o].install(e);break}f.prototype.run=function(){var a=this.fun,b=this.array;switch(b.length){case 0:return a();case 1:return a(b[0]);case 2:return a(b[0],b[1]);case 3:return a(b[0],b[1],b[2]);default:return a.apply(null,b)}},a.exports=g},function(a,b,c){(function(a){"use strict";b.test=function(){return void 0!==a&&!a.browser},b.install=function(b){return function(){a.nextTick(b)}}}).call(b,c(11))},function(a,b){function c(){throw new Error("setTimeout has not been defined")}function d(){throw new Error("clearTimeout has not been defined")}function e(a){if(k===setTimeout)return setTimeout(a,0);if((k===c||!k)&&setTimeout)return k=setTimeout,setTimeout(a,0);try{return k(a,0)}catch(b){try{return k.call(null,a,0)}catch(b){return k.call(this,a,0)}}}function f(a){if(l===clearTimeout)return clearTimeout(a);if((l===d||!l)&&clearTimeout)return l=clearTimeout,clearTimeout(a);try{return l(a)}catch(b){try{return l.call(null,a)}catch(b){return l.call(this,a)}}}function g(){p&&n&&(p=!1,n.length?o=n.concat(o):q=-1,o.length&&h())}function h(){if(!p){var a=e(g);p=!0;for(var b=o.length;b;){for(n=o,o=[];++q<b;)n&&n[q].run();q=-1,b=o.length}n=null,p=!1,f(a)}}function i(a,b){this.fun=a,this.array=b}function j(){}var k,l,m=a.exports={};!function(){try{k="function"==typeof setTimeout?setTimeout:c}catch(a){k=c}try{l="function"==typeof clearTimeout?clearTimeout:d}catch(a){l=d}}();var n,o=[],p=!1,q=-1;m.nextTick=function(a){var b=new Array(arguments.length-1);if(arguments.length>1)for(var c=1;c<arguments.length;c++)b[c-1]=arguments[c];o.push(new i(a,b)),1!==o.length||p||e(h)},i.prototype.run=function(){this.fun.apply(null,this.array)},m.title="browser",m.browser=!0,m.env={},m.argv=[],m.version="",m.versions={},m.on=j,m.addListener=j,m.once=j,m.off=j,m.removeListener=j,m.removeAllListeners=j,m.emit=j,m.binding=function(a){throw new Error("process.binding is not supported")},m.cwd=function(){return"/"},m.chdir=function(a){throw new Error("process.chdir is not supported")},m.umask=function(){return 0}},function(a,b){(function(a){"use strict";var c=a.MutationObserver||a.WebKitMutationObserver;b.test=function(){return c},b.install=function(b){var d=0,e=new c(b),f=a.document.createTextNode("");return e.observe(f,{characterData:!0}),function(){f.data=d=++d%2}}}).call(b,function(){return this}())},function(a,b){(function(a){"use strict";b.test=function(){return!a.setImmediate&&void 0!==a.MessageChannel},b.install=function(b){var c=new a.MessageChannel;return c.port1.onmessage=b,function(){c.port2.postMessage(0)}}}).call(b,function(){return this}())},function(a,b){(function(a){"use strict";b.test=function(){return"document"in a&&"onreadystatechange"in a.document.createElement("script")},b.install=function(b){return function(){var c=a.document.createElement("script");return c.onreadystatechange=function(){b(),c.onreadystatechange=null,c.parentNode.removeChild(c),c=null},a.document.documentElement.appendChild(c),b}}}).call(b,function(){return this}())},function(a,b){"use strict";b.test=function(){return!0},b.install=function(a){return function(){setTimeout(a,0)}}},function(a,b,c){"use strict";function d(a){var b,c,d,h=this;a=a||{},a.menu||f.error("menu is required"),f.isArray(a.datasets)||f.isObject(a.datasets)||f.error("1 or more datasets required"),a.datasets||f.error("datasets is required"),this.isOpen=!1,this.isEmpty=!0,this.minLength=a.minLength||0,this.templates={},this.appendTo=a.appendTo||!1,this.css=f.mixin({},j,a.appendTo?j.appendTo:{}),this.cssClasses=a.cssClasses=f.mixin({},j.defaultClasses,a.cssClasses||{}),this.cssClasses.prefix=a.cssClasses.formattedPrefix||f.formatPrefix(this.cssClasses.prefix,this.cssClasses.noPrefix),b=f.bind(this._onSuggestionClick,this),c=f.bind(this._onSuggestionMouseEnter,this),d=f.bind(this._onSuggestionMouseLeave,this);var i=f.className(this.cssClasses.prefix,this.cssClasses.suggestion);this.$menu=g.element(a.menu).on("mouseenter.aa",i,c).on("mouseleave.aa",i,d).on("click.aa",i,b),this.$container=a.appendTo?a.wrapper:this.$menu,a.templates&&a.templates.header&&(this.templates.header=f.templatify(a.templates.header),this.$menu.prepend(this.templates.header())),a.templates&&a.templates.empty&&(this.templates.empty=f.templatify(a.templates.empty),this.$empty=g.element('<div class="'+f.className(this.cssClasses.prefix,this.cssClasses.empty,!0)+'"></div>'),this.$menu.append(this.$empty),this.$empty.hide()),this.datasets=f.map(a.datasets,function(b){return e(h.$menu,b,a.cssClasses)}),f.each(this.datasets,function(a){var b=a.getRoot();b&&0===b.parent().length&&h.$menu.append(b),a.onSync("rendered",h._onRendered,h)}),a.templates&&a.templates.footer&&(this.templates.footer=f.templatify(a.templates.footer),this.$menu.append(this.templates.footer()));var k=this;g.element(window).resize(function(){k._redraw()})}function e(a,b,c){return new d.Dataset(f.mixin({$menu:a,cssClasses:c},b))}var f=c(4),g=c(2),h=c(8),i=c(17),j=c(19);f.mixin(d.prototype,h,{_onSuggestionClick:function(a){this.trigger("suggestionClicked",g.element(a.currentTarget))},_onSuggestionMouseEnter:function(a){var b=g.element(a.currentTarget);if(!b.hasClass(f.className(this.cssClasses.prefix,this.cssClasses.cursor,!0))){this._removeCursor();var c=this;setTimeout(function(){c._setCursor(b,!1)},0)}},_onSuggestionMouseLeave:function(a){if(a.relatedTarget){if(g.element(a.relatedTarget).closest("."+f.className(this.cssClasses.prefix,this.cssClasses.cursor,!0)).length>0)return}this._removeCursor(),this.trigger("cursorRemoved")},_onRendered:function(a,b){function c(a){return a.isEmpty()}function d(a){return a.templates&&a.templates.empty}if(this.isEmpty=f.every(this.datasets,c),this.isEmpty)if(b.length>=this.minLength&&this.trigger("empty"),this.$empty)if(b.length<this.minLength)this._hide();else{var e=this.templates.empty({query:this.datasets[0]&&this.datasets[0].query});this.$empty.html(e),this.$empty.show(),this._show()}else f.any(this.datasets,d)?b.length<this.minLength?this._hide():this._show():this._hide();else this.isOpen&&(this.$empty&&(this.$empty.empty(),this.$empty.hide()),b.length>=this.minLength?this._show():this._hide());this.trigger("datasetRendered")},_hide:function(){this.$container.hide()},_show:function(){this.$container.css("display","block"),this._redraw(),this.trigger("shown")},_redraw:function(){this.isOpen&&this.appendTo&&this.trigger("redrawn")},_getSuggestions:function(){return this.$menu.find(f.className(this.cssClasses.prefix,this.cssClasses.suggestion))},_getCursor:function(){return this.$menu.find(f.className(this.cssClasses.prefix,this.cssClasses.cursor)).first()},_setCursor:function(a,b){a.first().addClass(f.className(this.cssClasses.prefix,this.cssClasses.cursor,!0)).attr("aria-selected","true"),this.trigger("cursorMoved",b)},_removeCursor:function(){this._getCursor().removeClass(f.className(this.cssClasses.prefix,this.cssClasses.cursor,!0)).removeAttr("aria-selected")},_moveCursor:function(a){var b,c,d,e;if(this.isOpen){if(c=this._getCursor(),b=this._getSuggestions(),this._removeCursor(),d=b.index(c)+a,(d=(d+1)%(b.length+1)-1)===-1)return void this.trigger("cursorRemoved");d<-1&&(d=b.length-1),this._setCursor(e=b.eq(d),!0),this._ensureVisible(e)}},_ensureVisible:function(a){var b,c,d,e;b=a.position().top,c=b+a.height()+parseInt(a.css("margin-top"),10)+parseInt(a.css("margin-bottom"),10),d=this.$menu.scrollTop(),e=this.$menu.height()+parseInt(this.$menu.css("padding-top"),10)+parseInt(this.$menu.css("padding-bottom"),10),b<0?this.$menu.scrollTop(d+b):e<c&&this.$menu.scrollTop(d+(c-e))},close:function(){this.isOpen&&(this.isOpen=!1,this._removeCursor(),this._hide(),this.trigger("closed"))},open:function(){this.isOpen||(this.isOpen=!0,this.isEmpty||this._show(),this.trigger("opened"))},setLanguageDirection:function(a){this.$menu.css("ltr"===a?this.css.ltr:this.css.rtl)},moveCursorUp:function(){this._moveCursor(-1)},moveCursorDown:function(){this._moveCursor(1)},getDatumForSuggestion:function(a){var b=null;return a.length&&(b={raw:i.extractDatum(a),value:i.extractValue(a),datasetName:i.extractDatasetName(a)}),b},getCurrentCursor:function(){return this._getCursor().first()},getDatumForCursor:function(){return this.getDatumForSuggestion(this._getCursor().first())},getDatumForTopSuggestion:function(){return this.getDatumForSuggestion(this._getSuggestions().first())},cursorTopSuggestion:function(){this._setCursor(this._getSuggestions().first(),!1)},update:function(a){function b(b){b.update(a)}f.each(this.datasets,b)},empty:function(){function a(a){a.clear()}f.each(this.datasets,a),this.isEmpty=!0},isVisible:function(){return this.isOpen&&!this.isEmpty},destroy:function(){function a(a){a.destroy()}this.$menu.off(".aa"),this.$menu=null,f.each(this.datasets,a)}}),d.Dataset=i,a.exports=d},function(a,b,c){"use strict";function d(a){a=a||{},a.templates=a.templates||{},a.source||k.error("missing source"),a.name&&!g(a.name)&&k.error("invalid dataset name: "+a.name),this.query=null,this._isEmpty=!0,this.highlight=!!a.highlight,this.name=void 0===a.name||null===a.name?k.getUniqueId():a.name,this.source=a.source,this.displayFn=e(a.display||a.displayKey),this.debounce=a.debounce,this.cache=a.cache!==!1,this.templates=f(a.templates,this.displayFn),this.css=k.mixin({},n,a.appendTo?n.appendTo:{}),this.cssClasses=a.cssClasses=k.mixin({},n.defaultClasses,a.cssClasses||{}),this.cssClasses.prefix=a.cssClasses.formattedPrefix||k.formatPrefix(this.cssClasses.prefix,this.cssClasses.noPrefix);var b=k.className(this.cssClasses.prefix,this.cssClasses.dataset);this.$el=a.$menu&&a.$menu.find(b+"-"+this.name).length>0?l.element(a.$menu.find(b+"-"+this.name)[0]):l.element(m.dataset.replace("%CLASS%",this.name).replace("%PREFIX%",this.cssClasses.prefix).replace("%DATASET%",this.cssClasses.dataset)),this.$menu=a.$menu,this.clearCachedSuggestions()}function e(a){function b(b){return b[a]}return a=a||"value",k.isFunction(a)?a:b}function f(a,b){function c(a){return"<p>"+b(a)+"</p>"}return{empty:a.empty&&k.templatify(a.empty),header:a.header&&k.templatify(a.header),footer:a.footer&&k.templatify(a.footer),suggestion:a.suggestion||c}}function g(a){return/^[_a-zA-Z0-9-]+$/.test(a)}var h="aaDataset",i="aaValue",j="aaDatum",k=c(4),l=c(2),m=c(18),n=c(19),o=c(8);d.extractDatasetName=function(a){return l.element(a).data(h)},d.extractValue=function(a){return l.element(a).data(i)},d.extractDatum=function(a){var b=l.element(a).data(j);return"string"==typeof b&&(b=JSON.parse(b)),b},k.mixin(d.prototype,o,{_render:function(a,b){function c(){var b=[].slice.call(arguments,0);return b=[{query:a,isEmpty:!0}].concat(b),n.templates.empty.apply(this,b)}function d(){function a(a){var b,c=m.suggestion.replace("%PREFIX%",f.cssClasses.prefix).replace("%SUGGESTION%",f.cssClasses.suggestion);return b=l.element(c).attr({role:"option",id:["option",Math.floor(1e8*Math.random())].join("-")}).append(n.templates.suggestion.apply(this,[a].concat(e))),b.data(h,n.name),b.data(i,n.displayFn(a)||void 0),b.data(j,JSON.stringify(a)),b.children().each(function(){l.element(this).css(f.css.suggestionChild)}),b}var c,d,e=[].slice.call(arguments,0),f=this,g=m.suggestions.replace("%PREFIX%",this.cssClasses.prefix).replace("%SUGGESTIONS%",this.cssClasses.suggestions);return c=l.element(g).css(this.css.suggestions),d=k.map(b,a),c.append.apply(c,d),c}function e(){var b=[].slice.call(arguments,0);return b=[{query:a,isEmpty:!g}].concat(b),n.templates.header.apply(this,b)}function f(){var b=[].slice.call(arguments,0);return b=[{query:a,isEmpty:!g}].concat(b),n.templates.footer.apply(this,b)}if(this.$el){var g,n=this,o=[].slice.call(arguments,2);if(this.$el.empty(),g=b&&b.length,this._isEmpty=!g,!g&&this.templates.empty)this.$el.html(c.apply(this,o)).prepend(n.templates.header?e.apply(this,o):null).append(n.templates.footer?f.apply(this,o):null);else if(g)this.$el.html(d.apply(this,o)).prepend(n.templates.header?e.apply(this,o):null).append(n.templates.footer?f.apply(this,o):null);else if(b&&!Array.isArray(b))throw new TypeError("suggestions must be an array");this.$menu&&this.$menu.addClass(this.cssClasses.prefix+(g?"with":"without")+"-"+this.name).removeClass(this.cssClasses.prefix+(g?"without":"with")+"-"+this.name),this.trigger("rendered",a)}},getRoot:function(){return this.$el},update:function(a){function b(b){if(!this.canceled&&a===this.query){
+var c=[].slice.call(arguments,1);this.cacheSuggestions(a,b,c),this._render.apply(this,[a,b].concat(c))}}if(this.query=a,this.canceled=!1,this.shouldFetchFromCache(a))b.apply(this,[this.cachedSuggestions].concat(this.cachedRenderExtraArgs));else{var c=this,d=function(){c.canceled||c.source(a,b.bind(c))};if(this.debounce){var e=function(){c.debounceTimeout=null,d()};clearTimeout(this.debounceTimeout),this.debounceTimeout=setTimeout(e,this.debounce)}else d()}},cacheSuggestions:function(a,b,c){this.cachedQuery=a,this.cachedSuggestions=b,this.cachedRenderExtraArgs=c},shouldFetchFromCache:function(a){return this.cache&&this.cachedQuery===a&&this.cachedSuggestions&&this.cachedSuggestions.length},clearCachedSuggestions:function(){delete this.cachedQuery,delete this.cachedSuggestions,delete this.cachedRenderExtraArgs},cancel:function(){this.canceled=!0},clear:function(){this.$el&&(this.cancel(),this.$el.empty(),this.trigger("rendered",""))},isEmpty:function(){return this._isEmpty},destroy:function(){this.clearCachedSuggestions(),this.$el=null}}),a.exports=d},function(a,b){"use strict";a.exports={wrapper:'<span class="%ROOT%"></span>',dropdown:'<span class="%PREFIX%%DROPDOWN_MENU%"></span>',dataset:'<div class="%PREFIX%%DATASET%-%CLASS%"></div>',suggestions:'<span class="%PREFIX%%SUGGESTIONS%"></span>',suggestion:'<div class="%PREFIX%%SUGGESTION%"></div>'}},function(a,b,c){"use strict";var d=c(4),e={wrapper:{position:"relative",display:"inline-block"},hint:{position:"absolute",top:"0",left:"0",borderColor:"transparent",boxShadow:"none",opacity:"1"},input:{position:"relative",verticalAlign:"top",backgroundColor:"transparent"},inputWithNoHint:{position:"relative",verticalAlign:"top"},dropdown:{position:"absolute",top:"100%",left:"0",zIndex:"100",display:"none"},suggestions:{display:"block"},suggestion:{whiteSpace:"nowrap",cursor:"pointer"},suggestionChild:{whiteSpace:"normal"},ltr:{left:"0",right:"auto"},rtl:{left:"auto",right:"0"},defaultClasses:{root:"algolia-autocomplete",prefix:"aa",noPrefix:!1,dropdownMenu:"dropdown-menu",input:"input",hint:"hint",suggestions:"suggestions",suggestion:"suggestion",cursor:"cursor",dataset:"dataset",empty:"empty"},appendTo:{wrapper:{position:"absolute",zIndex:"100",display:"none"},input:{},inputWithNoHint:{},dropdown:{display:"block"}}};d.isMsie()&&d.mixin(e.input,{backgroundImage:"url(data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)"}),d.isMsie()&&d.isMsie()<=7&&d.mixin(e.input,{marginTop:"-1px"}),a.exports=e},function(a,b,c){"use strict";a.exports={hits:c(21),popularIn:c(24)}},function(a,b,c){"use strict";var d=c(4),e=c(22),f=c(23),g=function(){function a(a,d){return window.Promise.resolve().then(function(){return b.length&&(e=a.search(b),b=[]),e}).then(function(a){if(a)return c=a.results,c[d]})}var b=[],c=[],e=window.Promise.resolve();return function(c,e){return function(f,g){a(c.as,b.push({indexName:c.indexName,query:f,params:e})-1).then(function(a){a&&g(a.hits,a)}).catch(function(a){d.error(a.message)})}}}();a.exports=function(a,b){var c=f(a.as._ua);if(c&&c[0]>=3&&c[1]>20){var d="autocomplete.js "+e;a.as._ua.indexOf(d)===-1&&(a.as._ua+="; "+d)}return g(a,b)}},function(a,b){a.exports="0.38.0"},function(a,b){"use strict";a.exports=function(a){var b=a.match(/Algolia for JavaScript \((\d+\.)(\d+\.)(\d+)\)/)||a.match(/Algolia for vanilla JavaScript (\d+\.)(\d+\.)(\d+)/);if(b)return[b[1],b[2],b[3]]}},function(a,b,c){"use strict";var d=c(4),e=c(22),f=c(23);a.exports=function(a,b,c,g){function h(h,i){a.search(h,b,function(a,h){if(a)return void d.error(a.message);if(h.hits.length>0){var l=h.hits[0],m=d.mixin({hitsPerPage:0},c);delete m.source,delete m.index;var n=f(k.as._ua);return n&&n[0]>=3&&n[1]>20&&(b.additionalUA="autocomplete.js "+e),void k.search(j(l),m,function(a,b){if(a)return void d.error(a.message);var c=[];if(g.includeAll){var e=g.allTitle||"All departments";c.push(d.mixin({facet:{value:e,count:b.nbHits}},d.cloneDeep(l)))}d.each(b.facets,function(a,b){d.each(a,function(a,e){c.push(d.mixin({facet:{facet:b,value:e,count:a}},d.cloneDeep(l)))})});for(var f=1;f<h.hits.length;++f)c.push(h.hits[f]);i(c,h)})}i([])})}var i=f(a.as._ua);if(i&&i[0]>=3&&i[1]>20&&(b=b||{},b.additionalUA="autocomplete.js "+e),!c.source)return d.error("Missing 'source' key");var j=d.isFunction(c.source)?c.source:function(a){return a[c.source]};if(!c.index)return d.error("Missing 'index' key");var k=c.index;return g=g||{},h}}]);
\ No newline at end of file
diff --git a/deps/search-1.0.0/fuse.min.js b/deps/search-1.0.0/fuse.min.js
new file mode 100644
index 00000000..7def5985
--- /dev/null
+++ b/deps/search-1.0.0/fuse.min.js
@@ -0,0 +1,9 @@
+/**
+ * Fuse.js v6.4.6 - Lightweight fuzzy-search (http://fusejs.io)
+ *
+ * Copyright (c) 2021 Kiro Risk (http://kiro.me)
+ * All Rights Reserved. Apache Software License 2.0
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ */
+var e,t;e=this,t=function(){"use strict";function e(t){return(e="function"==typeof Symbol&&"symbol"==typeof Symbol.iterator?function(e){return typeof e}:function(e){return e&&"function"==typeof Symbol&&e.constructor===Symbol&&e!==Symbol.prototype?"symbol":typeof e})(t)}function t(e,t){if(!(e instanceof t))throw new TypeError("Cannot call a class as a function")}function n(e,t){for(var n=0;n<t.length;n++){var r=t[n];r.enumerable=r.enumerable||!1,r.configurable=!0,"value"in r&&(r.writable=!0),Object.defineProperty(e,r.key,r)}}function r(e,t,r){return t&&n(e.prototype,t),r&&n(e,r),e}function i(e,t,n){return t in e?Object.defineProperty(e,t,{value:n,enumerable:!0,configurable:!0,writable:!0}):e[t]=n,e}function o(e,t){var n=Object.keys(e);if(Object.getOwnPropertySymbols){var r=Object.getOwnPropertySymbols(e);t&&(r=r.filter((function(t){return Object.getOwnPropertyDescriptor(e,t).enumerable}))),n.push.apply(n,r)}return n}function c(e){for(var t=1;t<arguments.length;t++){var n=null!=arguments[t]?arguments[t]:{};t%2?o(Object(n),!0).forEach((function(t){i(e,t,n[t])})):Object.getOwnPropertyDescriptors?Object.defineProperties(e,Object.getOwnPropertyDescriptors(n)):o(Object(n)).forEach((function(t){Object.defineProperty(e,t,Object.getOwnPropertyDescriptor(n,t))}))}return e}function a(e,t){if("function"!=typeof t&&null!==t)throw new TypeError("Super expression must either be null or a function");e.prototype=Object.create(t&&t.prototype,{constructor:{value:e,writable:!0,configurable:!0}}),t&&u(e,t)}function s(e){return(s=Object.setPrototypeOf?Object.getPrototypeOf:function(e){return e.__proto__||Object.getPrototypeOf(e)})(e)}function u(e,t){return(u=Object.setPrototypeOf||function(e,t){return e.__proto__=t,e})(e,t)}function h(e,t){return!t||"object"!=typeof t&&"function"!=typeof t?function(e){if(void 0===e)throw new ReferenceError("this hasn't been initialised - super() hasn't been called");return e}(e):t}function f(e){var t=function(){if("undefined"==typeof Reflect||!Reflect.construct)return!1;if(Reflect.construct.sham)return!1;if("function"==typeof Proxy)return!0;try{return Date.prototype.toString.call(Reflect.construct(Date,[],(function(){}))),!0}catch(e){return!1}}();return function(){var n,r=s(e);if(t){var i=s(this).constructor;n=Reflect.construct(r,arguments,i)}else n=r.apply(this,arguments);return h(this,n)}}function l(e){return function(e){if(Array.isArray(e))return d(e)}(e)||function(e){if("undefined"!=typeof Symbol&&Symbol.iterator in Object(e))return Array.from(e)}(e)||function(e,t){if(e){if("string"==typeof e)return d(e,t);var n=Object.prototype.toString.call(e).slice(8,-1);return"Object"===n&&e.constructor&&(n=e.constructor.name),"Map"===n||"Set"===n?Array.from(e):"Arguments"===n||/^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(n)?d(e,t):void 0}}(e)||function(){throw new TypeError("Invalid attempt to spread non-iterable instance.\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.")}()}function d(e,t){(null==t||t>e.length)&&(t=e.length);for(var n=0,r=new Array(t);n<t;n++)r[n]=e[n];return r}function v(e){return Array.isArray?Array.isArray(e):"[object Array]"===b(e)}function g(e){return"string"==typeof e}function y(e){return"number"==typeof e}function p(e){return!0===e||!1===e||function(e){return m(e)&&null!==e}(e)&&"[object Boolean]"==b(e)}function m(t){return"object"===e(t)}function k(e){return null!=e}function M(e){return!e.trim().length}function b(e){return null==e?void 0===e?"[object Undefined]":"[object Null]":Object.prototype.toString.call(e)}var x=function(e){return"Invalid value for key ".concat(e)},L=function(e){return"Pattern length exceeds max of ".concat(e,".")},S=Object.prototype.hasOwnProperty,w=function(){function e(n){var r=this;t(this,e),this._keys=[],this._keyMap={};var i=0;n.forEach((function(e){var t=_(e);i+=t.weight,r._keys.push(t),r._keyMap[t.id]=t,i+=t.weight})),this._keys.forEach((function(e){e.weight/=i}))}return r(e,[{key:"get",value:function(e){return this._keyMap[e]}},{key:"keys",value:function(){return this._keys}},{key:"toJSON",value:function(){return JSON.stringify(this._keys)}}]),e}();function _(e){var t=null,n=null,r=null,i=1;if(g(e)||v(e))r=e,t=O(e),n=j(e);else{if(!S.call(e,"name"))throw new Error(function(e){return"Missing ".concat(e," property in key")}("name"));var o=e.name;if(r=o,S.call(e,"weight")&&(i=e.weight)<=0)throw new Error(function(e){return"Property 'weight' in key '".concat(e,"' must be a positive integer")}(o));t=O(o),n=j(o)}return{path:t,id:n,weight:i,src:r}}function O(e){return v(e)?e:e.split(".")}function j(e){return v(e)?e.join("."):e}var A=c({},{isCaseSensitive:!1,includeScore:!1,keys:[],shouldSort:!0,sortFn:function(e,t){return e.score===t.score?e.idx<t.idx?-1:1:e.score<t.score?-1:1}},{},{includeMatches:!1,findAllMatches:!1,minMatchCharLength:1},{},{location:0,threshold:.6,distance:100},{},{useExtendedSearch:!1,getFn:function(e,t){var n=[],r=!1;return function e(t,i,o){if(k(t))if(i[o]){var c=t[i[o]];if(!k(c))return;if(o===i.length-1&&(g(c)||y(c)||p(c)))n.push(function(e){return null==e?"":function(e){if("string"==typeof e)return e;var t=e+"";return"0"==t&&1/e==-1/0?"-0":t}(e)}(c));else if(v(c)){r=!0;for(var a=0,s=c.length;a<s;a+=1)e(c[a],i,o+1)}else i.length&&e(c,i,o+1)}else n.push(t)}(e,g(t)?t.split("."):t,0),r?n:n[0]},ignoreLocation:!1,ignoreFieldNorm:!1}),I=/[^ ]+/g;function C(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:3,t=new Map,n=Math.pow(10,e);return{get:function(e){var r=e.match(I).length;if(t.has(r))return t.get(r);var i=1/Math.sqrt(r),o=parseFloat(Math.round(i*n)/n);return t.set(r,o),o},clear:function(){t.clear()}}}var E=function(){function e(){var n=arguments.length>0&&void 0!==arguments[0]?arguments[0]:{},r=n.getFn,i=void 0===r?A.getFn:r;t(this,e),this.norm=C(3),this.getFn=i,this.isCreated=!1,this.setIndexRecords()}return r(e,[{key:"setSources",value:function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:[];this.docs=e}},{key:"setIndexRecords",value:function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:[];this.records=e}},{key:"setKeys",value:function(){var e=this,t=arguments.length>0&&void 0!==arguments[0]?arguments[0]:[];this.keys=t,this._keysMap={},t.forEach((function(t,n){e._keysMap[t.id]=n}))}},{key:"create",value:function(){var e=this;!this.isCreated&&this.docs.length&&(this.isCreated=!0,g(this.docs[0])?this.docs.forEach((function(t,n){e._addString(t,n)})):this.docs.forEach((function(t,n){e._addObject(t,n)})),this.norm.clear())}},{key:"add",value:function(e){var t=this.size();g(e)?this._addString(e,t):this._addObject(e,t)}},{key:"removeAt",value:function(e){this.records.splice(e,1);for(var t=e,n=this.size();t<n;t+=1)this.records[t].i-=1}},{key:"getValueForItemAtKeyId",value:function(e,t){return e[this._keysMap[t]]}},{key:"size",value:function(){return this.records.length}},{key:"_addString",value:function(e,t){if(k(e)&&!M(e)){var n={v:e,i:t,n:this.norm.get(e)};this.records.push(n)}}},{key:"_addObject",value:function(e,t){var n=this,r={i:t,$:{}};this.keys.forEach((function(t,i){var o=n.getFn(e,t.path);if(k(o))if(v(o))!function(){for(var e=[],t=[{nestedArrIndex:-1,value:o}];t.length;){var c=t.pop(),a=c.nestedArrIndex,s=c.value;if(k(s))if(g(s)&&!M(s)){var u={v:s,i:a,n:n.norm.get(s)};e.push(u)}else v(s)&&s.forEach((function(e,n){t.push({nestedArrIndex:n,value:e})}))}r.$[i]=e}();else if(!M(o)){var c={v:o,n:n.norm.get(o)};r.$[i]=c}})),this.records.push(r)}},{key:"toJSON",value:function(){return{keys:this.keys,records:this.records}}}]),e}();function $(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:{},r=n.getFn,i=void 0===r?A.getFn:r,o=new E({getFn:i});return o.setKeys(e.map(_)),o.setSources(t),o.create(),o}function R(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{},n=t.errors,r=void 0===n?0:n,i=t.currentLocation,o=void 0===i?0:i,c=t.expectedLocation,a=void 0===c?0:c,s=t.distance,u=void 0===s?A.distance:s,h=t.ignoreLocation,f=void 0===h?A.ignoreLocation:h,l=r/e.length;if(f)return l;var d=Math.abs(a-o);return u?l+d/u:d?1:l}function F(){for(var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:[],t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:A.minMatchCharLength,n=[],r=-1,i=-1,o=0,c=e.length;o<c;o+=1){var a=e[o];a&&-1===r?r=o:a||-1===r||((i=o-1)-r+1>=t&&n.push([r,i]),r=-1)}return e[o-1]&&o-r>=t&&n.push([r,o-1]),n}function P(e){for(var t={},n=0,r=e.length;n<r;n+=1){var i=e.charAt(n);t[i]=(t[i]||0)|1<<r-n-1}return t}var N=function(){function e(n){var r=this,i=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{},o=i.location,c=void 0===o?A.location:o,a=i.threshold,s=void 0===a?A.threshold:a,u=i.distance,h=void 0===u?A.distance:u,f=i.includeMatches,l=void 0===f?A.includeMatches:f,d=i.findAllMatches,v=void 0===d?A.findAllMatches:d,g=i.minMatchCharLength,y=void 0===g?A.minMatchCharLength:g,p=i.isCaseSensitive,m=void 0===p?A.isCaseSensitive:p,k=i.ignoreLocation,M=void 0===k?A.ignoreLocation:k;if(t(this,e),this.options={location:c,threshold:s,distance:h,includeMatches:l,findAllMatches:v,minMatchCharLength:y,isCaseSensitive:m,ignoreLocation:M},this.pattern=m?n:n.toLowerCase(),this.chunks=[],this.pattern.length){var b=function(e,t){r.chunks.push({pattern:e,alphabet:P(e),startIndex:t})},x=this.pattern.length;if(x>32){for(var L=0,S=x%32,w=x-S;L<w;)b(this.pattern.substr(L,32),L),L+=32;if(S){var _=x-32;b(this.pattern.substr(_),_)}}else b(this.pattern,0)}}return r(e,[{key:"searchIn",value:function(e){var t=this.options,n=t.isCaseSensitive,r=t.includeMatches;if(n||(e=e.toLowerCase()),this.pattern===e){var i={isMatch:!0,score:0};return r&&(i.indices=[[0,e.length-1]]),i}var o=this.options,c=o.location,a=o.distance,s=o.threshold,u=o.findAllMatches,h=o.minMatchCharLength,f=o.ignoreLocation,d=[],v=0,g=!1;this.chunks.forEach((function(t){var n=t.pattern,i=t.alphabet,o=t.startIndex,y=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:{},i=r.location,o=void 0===i?A.location:i,c=r.distance,a=void 0===c?A.distance:c,s=r.threshold,u=void 0===s?A.threshold:s,h=r.findAllMatches,f=void 0===h?A.findAllMatches:h,l=r.minMatchCharLength,d=void 0===l?A.minMatchCharLength:l,v=r.includeMatches,g=void 0===v?A.includeMatches:v,y=r.ignoreLocation,p=void 0===y?A.ignoreLocation:y;if(t.length>32)throw new Error(L(32));for(var m,k=t.length,M=e.length,b=Math.max(0,Math.min(o,M)),x=u,S=b,w=d>1||g,_=w?Array(M):[];(m=e.indexOf(t,S))>-1;){var O=R(t,{currentLocation:m,expectedLocation:b,distance:a,ignoreLocation:p});if(x=Math.min(O,x),S=m+k,w)for(var j=0;j<k;)_[m+j]=1,j+=1}S=-1;for(var I=[],C=1,E=k+M,$=1<<k-1,P=0;P<k;P+=1){for(var N=0,D=E;N<D;){var z=R(t,{errors:P,currentLocation:b+D,expectedLocation:b,distance:a,ignoreLocation:p});z<=x?N=D:E=D,D=Math.floor((E-N)/2+N)}E=D;var K=Math.max(1,b-D+1),q=f?M:Math.min(b+D,M)+k,W=Array(q+2);W[q+1]=(1<<P)-1;for(var J=q;J>=K;J-=1){var T=J-1,U=n[e.charAt(T)];if(w&&(_[T]=+!!U),W[J]=(W[J+1]<<1|1)&U,P&&(W[J]|=(I[J+1]|I[J])<<1|1|I[J+1]),W[J]&$&&(C=R(t,{errors:P,currentLocation:T,expectedLocation:b,distance:a,ignoreLocation:p}))<=x){if(x=C,(S=T)<=b)break;K=Math.max(1,2*b-S)}}var V=R(t,{errors:P+1,currentLocation:b,expectedLocation:b,distance:a,ignoreLocation:p});if(V>x)break;I=W}var B={isMatch:S>=0,score:Math.max(.001,C)};if(w){var G=F(_,d);G.length?g&&(B.indices=G):B.isMatch=!1}return B}(e,n,i,{location:c+o,distance:a,threshold:s,findAllMatches:u,minMatchCharLength:h,includeMatches:r,ignoreLocation:f}),p=y.isMatch,m=y.score,k=y.indices;p&&(g=!0),v+=m,p&&k&&(d=[].concat(l(d),l(k)))}));var y={isMatch:g,score:g?v/this.chunks.length:1};return g&&r&&(y.indices=d),y}}]),e}(),D=function(){function e(n){t(this,e),this.pattern=n}return r(e,[{key:"search",value:function(){}}],[{key:"isMultiMatch",value:function(e){return z(e,this.multiRegex)}},{key:"isSingleMatch",value:function(e){return z(e,this.singleRegex)}}]),e}();function z(e,t){var n=e.match(t);return n?n[1]:null}var K=function(e){a(i,e);var n=f(i);function i(e){return t(this,i),n.call(this,e)}return r(i,[{key:"search",value:function(e){var t=e===this.pattern;return{isMatch:t,score:t?0:1,indices:[0,this.pattern.length-1]}}}],[{key:"type",get:function(){return"exact"}},{key:"multiRegex",get:function(){return/^="(.*)"$/}},{key:"singleRegex",get:function(){return/^=(.*)$/}}]),i}(D),q=function(e){a(i,e);var n=f(i);function i(e){return t(this,i),n.call(this,e)}return r(i,[{key:"search",value:function(e){var t=-1===e.indexOf(this.pattern);return{isMatch:t,score:t?0:1,indices:[0,e.length-1]}}}],[{key:"type",get:function(){return"inverse-exact"}},{key:"multiRegex",get:function(){return/^!"(.*)"$/}},{key:"singleRegex",get:function(){return/^!(.*)$/}}]),i}(D),W=function(e){a(i,e);var n=f(i);function i(e){return t(this,i),n.call(this,e)}return r(i,[{key:"search",value:function(e){var t=e.startsWith(this.pattern);return{isMatch:t,score:t?0:1,indices:[0,this.pattern.length-1]}}}],[{key:"type",get:function(){return"prefix-exact"}},{key:"multiRegex",get:function(){return/^\^"(.*)"$/}},{key:"singleRegex",get:function(){return/^\^(.*)$/}}]),i}(D),J=function(e){a(i,e);var n=f(i);function i(e){return t(this,i),n.call(this,e)}return r(i,[{key:"search",value:function(e){var t=!e.startsWith(this.pattern);return{isMatch:t,score:t?0:1,indices:[0,e.length-1]}}}],[{key:"type",get:function(){return"inverse-prefix-exact"}},{key:"multiRegex",get:function(){return/^!\^"(.*)"$/}},{key:"singleRegex",get:function(){return/^!\^(.*)$/}}]),i}(D),T=function(e){a(i,e);var n=f(i);function i(e){return t(this,i),n.call(this,e)}return r(i,[{key:"search",value:function(e){var t=e.endsWith(this.pattern);return{isMatch:t,score:t?0:1,indices:[e.length-this.pattern.length,e.length-1]}}}],[{key:"type",get:function(){return"suffix-exact"}},{key:"multiRegex",get:function(){return/^"(.*)"\$$/}},{key:"singleRegex",get:function(){return/^(.*)\$$/}}]),i}(D),U=function(e){a(i,e);var n=f(i);function i(e){return t(this,i),n.call(this,e)}return r(i,[{key:"search",value:function(e){var t=!e.endsWith(this.pattern);return{isMatch:t,score:t?0:1,indices:[0,e.length-1]}}}],[{key:"type",get:function(){return"inverse-suffix-exact"}},{key:"multiRegex",get:function(){return/^!"(.*)"\$$/}},{key:"singleRegex",get:function(){return/^!(.*)\$$/}}]),i}(D),V=function(e){a(i,e);var n=f(i);function i(e){var r,o=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{},c=o.location,a=void 0===c?A.location:c,s=o.threshold,u=void 0===s?A.threshold:s,h=o.distance,f=void 0===h?A.distance:h,l=o.includeMatches,d=void 0===l?A.includeMatches:l,v=o.findAllMatches,g=void 0===v?A.findAllMatches:v,y=o.minMatchCharLength,p=void 0===y?A.minMatchCharLength:y,m=o.isCaseSensitive,k=void 0===m?A.isCaseSensitive:m,M=o.ignoreLocation,b=void 0===M?A.ignoreLocation:M;return t(this,i),(r=n.call(this,e))._bitapSearch=new N(e,{location:a,threshold:u,distance:f,includeMatches:d,findAllMatches:g,minMatchCharLength:p,isCaseSensitive:k,ignoreLocation:b}),r}return r(i,[{key:"search",value:function(e){return this._bitapSearch.searchIn(e)}}],[{key:"type",get:function(){return"fuzzy"}},{key:"multiRegex",get:function(){return/^"(.*)"$/}},{key:"singleRegex",get:function(){return/^(.*)$/}}]),i}(D),B=function(e){a(i,e);var n=f(i);function i(e){return t(this,i),n.call(this,e)}return r(i,[{key:"search",value:function(e){for(var t,n=0,r=[],i=this.pattern.length;(t=e.indexOf(this.pattern,n))>-1;)n=t+i,r.push([t,n-1]);var o=!!r.length;return{isMatch:o,score:o?0:1,indices:r}}}],[{key:"type",get:function(){return"include"}},{key:"multiRegex",get:function(){return/^'"(.*)"$/}},{key:"singleRegex",get:function(){return/^'(.*)$/}}]),i}(D),G=[K,B,W,J,U,T,q,V],H=G.length,Q=/ +(?=([^\"]*\"[^\"]*\")*[^\"]*$)/;function X(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{};return e.split("|").map((function(e){for(var n=e.trim().split(Q).filter((function(e){return e&&!!e.trim()})),r=[],i=0,o=n.length;i<o;i+=1){for(var c=n[i],a=!1,s=-1;!a&&++s<H;){var u=G[s],h=u.isMultiMatch(c);h&&(r.push(new u(h,t)),a=!0)}if(!a)for(s=-1;++s<H;){var f=G[s],l=f.isSingleMatch(c);if(l){r.push(new f(l,t));break}}}return r}))}var Y=new Set([V.type,B.type]),Z=function(){function e(n){var r=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{},i=r.isCaseSensitive,o=void 0===i?A.isCaseSensitive:i,c=r.includeMatches,a=void 0===c?A.includeMatches:c,s=r.minMatchCharLength,u=void 0===s?A.minMatchCharLength:s,h=r.ignoreLocation,f=void 0===h?A.ignoreLocation:h,l=r.findAllMatches,d=void 0===l?A.findAllMatches:l,v=r.location,g=void 0===v?A.location:v,y=r.threshold,p=void 0===y?A.threshold:y,m=r.distance,k=void 0===m?A.distance:m;t(this,e),this.query=null,this.options={isCaseSensitive:o,includeMatches:a,minMatchCharLength:u,findAllMatches:d,ignoreLocation:f,location:g,threshold:p,distance:k},this.pattern=o?n:n.toLowerCase(),this.query=X(this.pattern,this.options)}return r(e,[{key:"searchIn",value:function(e){var t=this.query;if(!t)return{isMatch:!1,score:1};var n=this.options,r=n.includeMatches;e=n.isCaseSensitive?e:e.toLowerCase();for(var i=0,o=[],c=0,a=0,s=t.length;a<s;a+=1){var u=t[a];o.length=0,i=0;for(var h=0,f=u.length;h<f;h+=1){var d=u[h],v=d.search(e),g=v.isMatch,y=v.indices,p=v.score;if(!g){c=0,i=0,o.length=0;break}if(i+=1,c+=p,r){var m=d.constructor.type;Y.has(m)?o=[].concat(l(o),l(y)):o.push(y)}}if(i){var k={isMatch:!0,score:c/i};return r&&(k.indices=o),k}}return{isMatch:!1,score:1}}}],[{key:"condition",value:function(e,t){return t.useExtendedSearch}}]),e}(),ee=[];function te(e,t){for(var n=0,r=ee.length;n<r;n+=1){var i=ee[n];if(i.condition(e,t))return new i(e,t)}return new N(e,t)}var ne="$and",re="$or",ie="$path",oe="$val",ce=function(e){return!(!e[ne]&&!e[re])},ae=function(e){return!!e[ie]},se=function(e){return!v(e)&&m(e)&&!ce(e)},ue=function(e){return i({},ne,Object.keys(e).map((function(t){return i({},t,e[t])})))};function he(e,t){var n=t.ignoreFieldNorm,r=void 0===n?A.ignoreFieldNorm:n;e.forEach((function(e){var t=1;e.matches.forEach((function(e){var n=e.key,i=e.norm,o=e.score,c=n?n.weight:null;t*=Math.pow(0===o&&c?Number.EPSILON:o,(c||1)*(r?1:i))})),e.score=t}))}function fe(e,t){var n=e.matches;t.matches=[],k(n)&&n.forEach((function(e){if(k(e.indices)&&e.indices.length){var n={indices:e.indices,value:e.value};e.key&&(n.key=e.key.src),e.idx>-1&&(n.refIndex=e.idx),t.matches.push(n)}}))}function le(e,t){t.score=e.score}function de(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:{},r=n.includeMatches,i=void 0===r?A.includeMatches:r,o=n.includeScore,c=void 0===o?A.includeScore:o,a=[];return i&&a.push(fe),c&&a.push(le),e.map((function(e){var n=e.idx,r={item:t[n],refIndex:n};return a.length&&a.forEach((function(t){t(e,r)})),r}))}var ve=function(){function e(n){var r=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{},i=arguments.length>2?arguments[2]:void 0;t(this,e),this.options=c({},A,{},r),this.options.useExtendedSearch,this._keyStore=new w(this.options.keys),this.setCollection(n,i)}return r(e,[{key:"setCollection",value:function(e,t){if(this._docs=e,t&&!(t instanceof E))throw new Error("Incorrect 'index' type");this._myIndex=t||$(this.options.keys,this._docs,{getFn:this.options.getFn})}},{key:"add",value:function(e){k(e)&&(this._docs.push(e),this._myIndex.add(e))}},{key:"remove",value:function(){for(var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:function(){return!1},t=[],n=0,r=this._docs.length;n<r;n+=1){var i=this._docs[n];e(i,n)&&(this.removeAt(n),n-=1,r-=1,t.push(i))}return t}},{key:"removeAt",value:function(e){this._docs.splice(e,1),this._myIndex.removeAt(e)}},{key:"getIndex",value:function(){return this._myIndex}},{key:"search",value:function(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{},n=t.limit,r=void 0===n?-1:n,i=this.options,o=i.includeMatches,c=i.includeScore,a=i.shouldSort,s=i.sortFn,u=i.ignoreFieldNorm,h=g(e)?g(this._docs[0])?this._searchStringList(e):this._searchObjectList(e):this._searchLogical(e);return he(h,{ignoreFieldNorm:u}),a&&h.sort(s),y(r)&&r>-1&&(h=h.slice(0,r)),de(h,this._docs,{includeMatches:o,includeScore:c})}},{key:"_searchStringList",value:function(e){var t=te(e,this.options),n=this._myIndex.records,r=[];return n.forEach((function(e){var n=e.v,i=e.i,o=e.n;if(k(n)){var c=t.searchIn(n),a=c.isMatch,s=c.score,u=c.indices;a&&r.push({item:n,idx:i,matches:[{score:s,value:n,norm:o,indices:u}]})}})),r}},{key:"_searchLogical",value:function(e){var t=this,n=function(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:{},r=n.auto,i=void 0===r||r,o=function e(n){var r=Object.keys(n),o=ae(n);if(!o&&r.length>1&&!ce(n))return e(ue(n));if(se(n)){var c=o?n[ie]:r[0],a=o?n[oe]:n[c];if(!g(a))throw new Error(x(c));var s={keyId:j(c),pattern:a};return i&&(s.searcher=te(a,t)),s}var u={children:[],operator:r[0]};return r.forEach((function(t){var r=n[t];v(r)&&r.forEach((function(t){u.children.push(e(t))}))})),u};return ce(e)||(e=ue(e)),o(e)}(e,this.options),r=this._myIndex.records,i={},o=[];return r.forEach((function(e){var r=e.$,c=e.i;if(k(r)){var a=function e(n,r,i){if(!n.children){var o=n.keyId,c=n.searcher,a=t._findMatches({key:t._keyStore.get(o),value:t._myIndex.getValueForItemAtKeyId(r,o),searcher:c});return a&&a.length?[{idx:i,item:r,matches:a}]:[]}switch(n.operator){case ne:for(var s=[],u=0,h=n.children.length;u<h;u+=1){var f=e(n.children[u],r,i);if(!f.length)return[];s.push.apply(s,l(f))}return s;case re:for(var d=[],v=0,g=n.children.length;v<g;v+=1){var y=e(n.children[v],r,i);if(y.length){d.push.apply(d,l(y));break}}return d}}(n,r,c);a.length&&(i[c]||(i[c]={idx:c,item:r,matches:[]},o.push(i[c])),a.forEach((function(e){var t,n=e.matches;(t=i[c].matches).push.apply(t,l(n))})))}})),o}},{key:"_searchObjectList",value:function(e){var t=this,n=te(e,this.options),r=this._myIndex,i=r.keys,o=r.records,c=[];return o.forEach((function(e){var r=e.$,o=e.i;if(k(r)){var a=[];i.forEach((function(e,i){a.push.apply(a,l(t._findMatches({key:e,value:r[i],searcher:n})))})),a.length&&c.push({idx:o,item:r,matches:a})}})),c}},{key:"_findMatches",value:function(e){var t=e.key,n=e.value,r=e.searcher;if(!k(n))return[];var i=[];if(v(n))n.forEach((function(e){var n=e.v,o=e.i,c=e.n;if(k(n)){var a=r.searchIn(n),s=a.isMatch,u=a.score,h=a.indices;s&&i.push({score:u,key:t,value:n,idx:o,norm:c,indices:h})}}));else{var o=n.v,c=n.n,a=r.searchIn(o),s=a.isMatch,u=a.score,h=a.indices;s&&i.push({score:u,key:t,value:o,norm:c,indices:h})}return i}}]),e}();return ve.version="6.4.6",ve.createIndex=$,ve.parseIndex=function(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{},n=t.getFn,r=void 0===n?A.getFn:n,i=e.keys,o=e.records,c=new E({getFn:r});return c.setKeys(i),c.setIndexRecords(o),c},ve.config=A,function(){ee.push.apply(ee,arguments)}(Z),ve},"object"==typeof exports&&"undefined"!=typeof module?module.exports=t():"function"==typeof define&&define.amd?define(t):(e=e||self).Fuse=t();
\ No newline at end of file
diff --git a/deps/search-1.0.0/mark.min.js b/deps/search-1.0.0/mark.min.js
new file mode 100644
index 00000000..1eea0533
--- /dev/null
+++ b/deps/search-1.0.0/mark.min.js
@@ -0,0 +1,7 @@
+/*!***************************************************
+* mark.js v8.11.1
+* https://markjs.io/
+* Copyright (c) 2014–2018, Julian Kühnel
+* Released under the MIT license https://git.io/vwTVl
+*****************************************************/
+!function(e,t){"object"==typeof exports&&"undefined"!=typeof module?module.exports=t():"function"==typeof define&&define.amd?define(t):e.Mark=t()}(this,function(){"use strict";var e="function"==typeof Symbol&&"symbol"==typeof Symbol.iterator?function(e){return typeof e}:function(e){return e&&"function"==typeof Symbol&&e.constructor===Symbol&&e!==Symbol.prototype?"symbol":typeof e},t=function(e,t){if(!(e instanceof t))throw new TypeError("Cannot call a class as a function")},n=function(){function e(e,t){for(var n=0;n<t.length;n++){var r=t[n];r.enumerable=r.enumerable||!1,r.configurable=!0,"value"in r&&(r.writable=!0),Object.defineProperty(e,r.key,r)}}return function(t,n,r){return n&&e(t.prototype,n),r&&e(t,r),t}}(),r=Object.assign||function(e){for(var t=1;t<arguments.length;t++){var n=arguments[t];for(var r in n)Object.prototype.hasOwnProperty.call(n,r)&&(e[r]=n[r])}return e},i=function(){function e(n){var r=!(arguments.length>1&&void 0!==arguments[1])||arguments[1],i=arguments.length>2&&void 0!==arguments[2]?arguments[2]:[],o=arguments.length>3&&void 0!==arguments[3]?arguments[3]:5e3;t(this,e),this.ctx=n,this.iframes=r,this.exclude=i,this.iframesTimeout=o}return n(e,[{key:"getContexts",value:function(){var e=[];return(void 0!==this.ctx&&this.ctx?NodeList.prototype.isPrototypeOf(this.ctx)?Array.prototype.slice.call(this.ctx):Array.isArray(this.ctx)?this.ctx:"string"==typeof this.ctx?Array.prototype.slice.call(document.querySelectorAll(this.ctx)):[this.ctx]:[]).forEach(function(t){var n=e.filter(function(e){return e.contains(t)}).length>0;-1!==e.indexOf(t)||n||e.push(t)}),e}},{key:"getIframeContents",value:function(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:function(){},r=void 0;try{var i=e.contentWindow;if(r=i.document,!i||!r)throw new Error("iframe inaccessible")}catch(e){n()}r&&t(r)}},{key:"isIframeBlank",value:function(e){var t=e.getAttribute("src").trim();return"about:blank"===e.contentWindow.location.href&&"about:blank"!==t&&t}},{key:"observeIframeLoad",value:function(e,t,n){var r=this,i=!1,o=null,a=function a(){if(!i){i=!0,clearTimeout(o);try{r.isIframeBlank(e)||(e.removeEventListener("load",a),r.getIframeContents(e,t,n))}catch(e){n()}}};e.addEventListener("load",a),o=setTimeout(a,this.iframesTimeout)}},{key:"onIframeReady",value:function(e,t,n){try{"complete"===e.contentWindow.document.readyState?this.isIframeBlank(e)?this.observeIframeLoad(e,t,n):this.getIframeContents(e,t,n):this.observeIframeLoad(e,t,n)}catch(e){n()}}},{key:"waitForIframes",value:function(e,t){var n=this,r=0;this.forEachIframe(e,function(){return!0},function(e){r++,n.waitForIframes(e.querySelector("html"),function(){--r||t()})},function(e){e||t()})}},{key:"forEachIframe",value:function(t,n,r){var i=this,o=arguments.length>3&&void 0!==arguments[3]?arguments[3]:function(){},a=t.querySelectorAll("iframe"),s=a.length,c=0;a=Array.prototype.slice.call(a);var u=function(){--s<=0&&o(c)};s||u(),a.forEach(function(t){e.matches(t,i.exclude)?u():i.onIframeReady(t,function(e){n(t)&&(c++,r(e)),u()},u)})}},{key:"createIterator",value:function(e,t,n){return document.createNodeIterator(e,t,n,!1)}},{key:"createInstanceOnIframe",value:function(t){return new e(t.querySelector("html"),this.iframes)}},{key:"compareNodeIframe",value:function(e,t,n){if(e.compareDocumentPosition(n)&Node.DOCUMENT_POSITION_PRECEDING){if(null===t)return!0;if(t.compareDocumentPosition(n)&Node.DOCUMENT_POSITION_FOLLOWING)return!0}return!1}},{key:"getIteratorNode",value:function(e){var t=e.previousNode();return{prevNode:t,node:null===t?e.nextNode():e.nextNode()&&e.nextNode()}}},{key:"checkIframeFilter",value:function(e,t,n,r){var i=!1,o=!1;return r.forEach(function(e,t){e.val===n&&(i=t,o=e.handled)}),this.compareNodeIframe(e,t,n)?(!1!==i||o?!1===i||o||(r[i].handled=!0):r.push({val:n,handled:!0}),!0):(!1===i&&r.push({val:n,handled:!1}),!1)}},{key:"handleOpenIframes",value:function(e,t,n,r){var i=this;e.forEach(function(e){e.handled||i.getIframeContents(e.val,function(e){i.createInstanceOnIframe(e).forEachNode(t,n,r)})})}},{key:"iterateThroughNodes",value:function(e,t,n,r,i){for(var o,a=this,s=this.createIterator(t,e,r),c=[],u=[],l=void 0,h=void 0;void 0,o=a.getIteratorNode(s),h=o.prevNode,l=o.node;)this.iframes&&this.forEachIframe(t,function(e){return a.checkIframeFilter(l,h,e,c)},function(t){a.createInstanceOnIframe(t).forEachNode(e,function(e){return u.push(e)},r)}),u.push(l);u.forEach(function(e){n(e)}),this.iframes&&this.handleOpenIframes(c,e,n,r),i()}},{key:"forEachNode",value:function(e,t,n){var r=this,i=arguments.length>3&&void 0!==arguments[3]?arguments[3]:function(){},o=this.getContexts(),a=o.length;a||i(),o.forEach(function(o){var s=function(){r.iterateThroughNodes(e,o,t,n,function(){--a<=0&&i()})};r.iframes?r.waitForIframes(o,s):s()})}}],[{key:"matches",value:function(e,t){var n="string"==typeof t?[t]:t,r=e.matches||e.matchesSelector||e.msMatchesSelector||e.mozMatchesSelector||e.oMatchesSelector||e.webkitMatchesSelector;if(r){var i=!1;return n.every(function(t){return!r.call(e,t)||(i=!0,!1)}),i}return!1}}]),e}(),o=function(){function o(e){t(this,o),this.ctx=e,this.ie=!1;var n=window.navigator.userAgent;(n.indexOf("MSIE")>-1||n.indexOf("Trident")>-1)&&(this.ie=!0)}return n(o,[{key:"log",value:function(t){var n=arguments.length>1&&void 0!==arguments[1]?arguments[1]:"debug",r=this.opt.log;this.opt.debug&&"object"===(void 0===r?"undefined":e(r))&&"function"==typeof r[n]&&r[n]("mark.js: "+t)}},{key:"escapeStr",value:function(e){return e.replace(/[\-\[\]\/\{\}\(\)\*\+\?\.\\\^\$\|]/g,"\\$&")}},{key:"createRegExp",value:function(e){return"disabled"!==this.opt.wildcards&&(e=this.setupWildcardsRegExp(e)),e=this.escapeStr(e),Object.keys(this.opt.synonyms).length&&(e=this.createSynonymsRegExp(e)),(this.opt.ignoreJoiners||this.opt.ignorePunctuation.length)&&(e=this.setupIgnoreJoinersRegExp(e)),this.opt.diacritics&&(e=this.createDiacriticsRegExp(e)),e=this.createMergedBlanksRegExp(e),(this.opt.ignoreJoiners||this.opt.ignorePunctuation.length)&&(e=this.createJoinersRegExp(e)),"disabled"!==this.opt.wildcards&&(e=this.createWildcardsRegExp(e)),e=this.createAccuracyRegExp(e)}},{key:"createSynonymsRegExp",value:function(e){var t=this.opt.synonyms,n=this.opt.caseSensitive?"":"i",r=this.opt.ignoreJoiners||this.opt.ignorePunctuation.length?"\0":"";for(var i in t)if(t.hasOwnProperty(i)){var o=t[i],a="disabled"!==this.opt.wildcards?this.setupWildcardsRegExp(i):this.escapeStr(i),s="disabled"!==this.opt.wildcards?this.setupWildcardsRegExp(o):this.escapeStr(o);""!==a&&""!==s&&(e=e.replace(new RegExp("("+this.escapeStr(a)+"|"+this.escapeStr(s)+")","gm"+n),r+"("+this.processSynomyms(a)+"|"+this.processSynomyms(s)+")"+r))}return e}},{key:"processSynomyms",value:function(e){return(this.opt.ignoreJoiners||this.opt.ignorePunctuation.length)&&(e=this.setupIgnoreJoinersRegExp(e)),e}},{key:"setupWildcardsRegExp",value:function(e){return(e=e.replace(/(?:\\)*\?/g,function(e){return"\\"===e.charAt(0)?"?":""})).replace(/(?:\\)*\*/g,function(e){return"\\"===e.charAt(0)?"*":""})}},{key:"createWildcardsRegExp",value:function(e){var t="withSpaces"===this.opt.wildcards;return e.replace(/\u0001/g,t?"[\\S\\s]?":"\\S?").replace(/\u0002/g,t?"[\\S\\s]*?":"\\S*")}},{key:"setupIgnoreJoinersRegExp",value:function(e){return e.replace(/[^(|)\\]/g,function(e,t,n){var r=n.charAt(t+1);return/[(|)\\]/.test(r)||""===r?e:e+"\0"})}},{key:"createJoinersRegExp",value:function(e){var t=[],n=this.opt.ignorePunctuation;return Array.isArray(n)&&n.length&&t.push(this.escapeStr(n.join(""))),this.opt.ignoreJoiners&&t.push("\\u00ad\\u200b\\u200c\\u200d"),t.length?e.split(/\u0000+/).join("["+t.join("")+"]*"):e}},{key:"createDiacriticsRegExp",value:function(e){var t=this.opt.caseSensitive?"":"i",n=this.opt.caseSensitive?["aàáảãạăằắẳẵặâầấẩẫậäåāą","AÀÁẢÃẠĂẰẮẲẴẶÂẦẤẨẪẬÄÅĀĄ","cçćč","CÇĆČ","dđď","DĐĎ","eèéẻẽẹêềếểễệëěēę","EÈÉẺẼẸÊỀẾỂỄỆËĚĒĘ","iìíỉĩịîïī","IÌÍỈĨỊÎÏĪ","lł","LŁ","nñňń","NÑŇŃ","oòóỏõọôồốổỗộơởỡớờợöøō","OÒÓỎÕỌÔỒỐỔỖỘƠỞỠỚỜỢÖØŌ","rř","RŘ","sšśșş","SŠŚȘŞ","tťțţ","TŤȚŢ","uùúủũụưừứửữựûüůū","UÙÚỦŨỤƯỪỨỬỮỰÛÜŮŪ","yýỳỷỹỵÿ","YÝỲỶỸỴŸ","zžżź","ZŽŻŹ"]:["aàáảãạăằắẳẵặâầấẩẫậäåāąAÀÁẢÃẠĂẰẮẲẴẶÂẦẤẨẪẬÄÅĀĄ","cçćčCÇĆČ","dđďDĐĎ","eèéẻẽẹêềếểễệëěēęEÈÉẺẼẸÊỀẾỂỄỆËĚĒĘ","iìíỉĩịîïīIÌÍỈĨỊÎÏĪ","lłLŁ","nñňńNÑŇŃ","oòóỏõọôồốổỗộơởỡớờợöøōOÒÓỎÕỌÔỒỐỔỖỘƠỞỠỚỜỢÖØŌ","rřRŘ","sšśșşSŠŚȘŞ","tťțţTŤȚŢ","uùúủũụưừứửữựûüůūUÙÚỦŨỤƯỪỨỬỮỰÛÜŮŪ","yýỳỷỹỵÿYÝỲỶỸỴŸ","zžżźZŽŻŹ"],r=[];return e.split("").forEach(function(i){n.every(function(n){if(-1!==n.indexOf(i)){if(r.indexOf(n)>-1)return!1;e=e.replace(new RegExp("["+n+"]","gm"+t),"["+n+"]"),r.push(n)}return!0})}),e}},{key:"createMergedBlanksRegExp",value:function(e){return e.replace(/[\s]+/gim,"[\\s]+")}},{key:"createAccuracyRegExp",value:function(e){var t=this,n=this.opt.accuracy,r="string"==typeof n?n:n.value,i="";switch(("string"==typeof n?[]:n.limiters).forEach(function(e){i+="|"+t.escapeStr(e)}),r){case"partially":default:return"()("+e+")";case"complementary":return"()([^"+(i="\\s"+(i||this.escapeStr("!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~¡¿")))+"]*"+e+"[^"+i+"]*)";case"exactly":return"(^|\\s"+i+")("+e+")(?=$|\\s"+i+")"}}},{key:"getSeparatedKeywords",value:function(e){var t=this,n=[];return e.forEach(function(e){t.opt.separateWordSearch?e.split(" ").forEach(function(e){e.trim()&&-1===n.indexOf(e)&&n.push(e)}):e.trim()&&-1===n.indexOf(e)&&n.push(e)}),{keywords:n.sort(function(e,t){return t.length-e.length}),length:n.length}}},{key:"isNumeric",value:function(e){return Number(parseFloat(e))==e}},{key:"checkRanges",value:function(e){var t=this;if(!Array.isArray(e)||"[object Object]"!==Object.prototype.toString.call(e[0]))return this.log("markRanges() will only accept an array of objects"),this.opt.noMatch(e),[];var n=[],r=0;return e.sort(function(e,t){return e.start-t.start}).forEach(function(e){var i=t.callNoMatchOnInvalidRanges(e,r),o=i.start,a=i.end;i.valid&&(e.start=o,e.length=a-o,n.push(e),r=a)}),n}},{key:"callNoMatchOnInvalidRanges",value:function(e,t){var n=void 0,r=void 0,i=!1;return e&&void 0!==e.start?(r=(n=parseInt(e.start,10))+parseInt(e.length,10),this.isNumeric(e.start)&&this.isNumeric(e.length)&&r-t>0&&r-n>0?i=!0:(this.log("Ignoring invalid or overlapping range: "+JSON.stringify(e)),this.opt.noMatch(e))):(this.log("Ignoring invalid range: "+JSON.stringify(e)),this.opt.noMatch(e)),{start:n,end:r,valid:i}}},{key:"checkWhitespaceRanges",value:function(e,t,n){var r=void 0,i=!0,o=n.length,a=t-o,s=parseInt(e.start,10)-a;return(r=(s=s>o?o:s)+parseInt(e.length,10))>o&&(r=o,this.log("End range automatically set to the max value of "+o)),s<0||r-s<0||s>o||r>o?(i=!1,this.log("Invalid range: "+JSON.stringify(e)),this.opt.noMatch(e)):""===n.substring(s,r).replace(/\s+/g,"")&&(i=!1,this.log("Skipping whitespace only range: "+JSON.stringify(e)),this.opt.noMatch(e)),{start:s,end:r,valid:i}}},{key:"getTextNodes",value:function(e){var t=this,n="",r=[];this.iterator.forEachNode(NodeFilter.SHOW_TEXT,function(e){r.push({start:n.length,end:(n+=e.textContent).length,node:e})},function(e){return t.matchesExclude(e.parentNode)?NodeFilter.FILTER_REJECT:NodeFilter.FILTER_ACCEPT},function(){e({value:n,nodes:r})})}},{key:"matchesExclude",value:function(e){return i.matches(e,this.opt.exclude.concat(["script","style","title","head","html"]))}},{key:"wrapRangeInTextNode",value:function(e,t,n){var r=this.opt.element?this.opt.element:"mark",i=e.splitText(t),o=i.splitText(n-t),a=document.createElement(r);return a.setAttribute("data-markjs","true"),this.opt.className&&a.setAttribute("class",this.opt.className),a.textContent=i.textContent,i.parentNode.replaceChild(a,i),o}},{key:"wrapRangeInMappedTextNode",value:function(e,t,n,r,i){var o=this;e.nodes.every(function(a,s){var c=e.nodes[s+1];if(void 0===c||c.start>t){if(!r(a.node))return!1;var u=t-a.start,l=(n>a.end?a.end:n)-a.start,h=e.value.substr(0,a.start),f=e.value.substr(l+a.start);if(a.node=o.wrapRangeInTextNode(a.node,u,l),e.value=h+f,e.nodes.forEach(function(t,n){n>=s&&(e.nodes[n].start>0&&n!==s&&(e.nodes[n].start-=l),e.nodes[n].end-=l)}),n-=l,i(a.node.previousSibling,a.start),!(n>a.end))return!1;t=a.end}return!0})}},{key:"wrapMatches",value:function(e,t,n,r,i){var o=this,a=0===t?0:t+1;this.getTextNodes(function(t){t.nodes.forEach(function(t){t=t.node;for(var i=void 0;null!==(i=e.exec(t.textContent))&&""!==i[a];)if(n(i[a],t)){var s=i.index;if(0!==a)for(var c=1;c<a;c++)s+=i[c].length;t=o.wrapRangeInTextNode(t,s,s+i[a].length),r(t.previousSibling),e.lastIndex=0}}),i()})}},{key:"wrapMatchesAcrossElements",value:function(e,t,n,r,i){var o=this,a=0===t?0:t+1;this.getTextNodes(function(t){for(var s=void 0;null!==(s=e.exec(t.value))&&""!==s[a];){var c=s.index;if(0!==a)for(var u=1;u<a;u++)c+=s[u].length;var l=c+s[a].length;o.wrapRangeInMappedTextNode(t,c,l,function(e){return n(s[a],e)},function(t,n){e.lastIndex=n,r(t)})}i()})}},{key:"wrapRangeFromIndex",value:function(e,t,n,r){var i=this;this.getTextNodes(function(o){var a=o.value.length;e.forEach(function(e,r){var s=i.checkWhitespaceRanges(e,a,o.value),c=s.start,u=s.end;s.valid&&i.wrapRangeInMappedTextNode(o,c,u,function(n){return t(n,e,o.value.substring(c,u),r)},function(t){n(t,e)})}),r()})}},{key:"unwrapMatches",value:function(e){for(var t=e.parentNode,n=document.createDocumentFragment();e.firstChild;)n.appendChild(e.removeChild(e.firstChild));t.replaceChild(n,e),this.ie?this.normalizeTextNode(t):t.normalize()}},{key:"normalizeTextNode",value:function(e){if(e){if(3===e.nodeType)for(;e.nextSibling&&3===e.nextSibling.nodeType;)e.nodeValue+=e.nextSibling.nodeValue,e.parentNode.removeChild(e.nextSibling);else this.normalizeTextNode(e.firstChild);this.normalizeTextNode(e.nextSibling)}}},{key:"markRegExp",value:function(e,t){var n=this;this.opt=t,this.log('Searching with expression "'+e+'"');var r=0,i="wrapMatches";this.opt.acrossElements&&(i="wrapMatchesAcrossElements"),this[i](e,this.opt.ignoreGroups,function(e,t){return n.opt.filter(t,e,r)},function(e){r++,n.opt.each(e)},function(){0===r&&n.opt.noMatch(e),n.opt.done(r)})}},{key:"mark",value:function(e,t){var n=this;this.opt=t;var r=0,i="wrapMatches",o=this.getSeparatedKeywords("string"==typeof e?[e]:e),a=o.keywords,s=o.length,c=this.opt.caseSensitive?"":"i";this.opt.acrossElements&&(i="wrapMatchesAcrossElements"),0===s?this.opt.done(r):function e(t){var o=new RegExp(n.createRegExp(t),"gm"+c),u=0;n.log('Searching with expression "'+o+'"'),n[i](o,1,function(e,i){return n.opt.filter(i,t,r,u)},function(e){u++,r++,n.opt.each(e)},function(){0===u&&n.opt.noMatch(t),a[s-1]===t?n.opt.done(r):e(a[a.indexOf(t)+1])})}(a[0])}},{key:"markRanges",value:function(e,t){var n=this;this.opt=t;var r=0,i=this.checkRanges(e);i&&i.length?(this.log("Starting to mark with the following ranges: "+JSON.stringify(i)),this.wrapRangeFromIndex(i,function(e,t,r,i){return n.opt.filter(e,t,r,i)},function(e,t){r++,n.opt.each(e,t)},function(){n.opt.done(r)})):this.opt.done(r)}},{key:"unmark",value:function(e){var t=this;this.opt=e;var n=this.opt.element?this.opt.element:"*";n+="[data-markjs]",this.opt.className&&(n+="."+this.opt.className),this.log('Removal selector "'+n+'"'),this.iterator.forEachNode(NodeFilter.SHOW_ELEMENT,function(e){t.unwrapMatches(e)},function(e){var r=i.matches(e,n),o=t.matchesExclude(e);return!r||o?NodeFilter.FILTER_REJECT:NodeFilter.FILTER_ACCEPT},this.opt.done)}},{key:"opt",set:function(e){this._opt=r({},{element:"",className:"",exclude:[],iframes:!1,iframesTimeout:5e3,separateWordSearch:!0,diacritics:!0,synonyms:{},accuracy:"partially",acrossElements:!1,caseSensitive:!1,ignoreJoiners:!1,ignoreGroups:0,ignorePunctuation:[],wildcards:"disabled",each:function(){},noMatch:function(){},filter:function(){return!0},done:function(){},debug:!1,log:window.console},e)},get:function(){return this._opt}},{key:"iterator",get:function(){return new i(this.ctx,this.opt.iframes,this.opt.exclude,this.opt.iframesTimeout)}}]),o}();return function(e){var t=this,n=new o(e);return this.mark=function(e,r){return n.mark(e,r),t},this.markRegExp=function(e,r){return n.markRegExp(e,r),t},this.markRanges=function(e,r){return n.markRanges(e,r),t},this.unmark=function(e){return n.unmark(e),t},this}});
diff --git a/index.html b/index.html
index 1b89f047..79e11b8d 100644
--- a/index.html
+++ b/index.html
@@ -5,7 +5,6 @@
 <meta charset="utf-8">
 <meta http-equiv="X-UA-Compatible" content="IE=edge">
 <meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
-<meta name="description" content="Species sensitivity distributions are cumulative probability distributions which are fitted to toxicity concentrations for different species as described by Posthuma et al.(2001) &lt;isbn:9781566705783&gt;. The ssdtools package uses Maximum Likelihood to fit distributions such as the gamma, log-logistic, log-normal and log-normal log-normal mixture. Multiple distributions can be averaged using Akaike Information Criteria. Confidence intervals on hazard concentrations and proportions are produced by parametric bootstrapping.">
 <title>Species Sensitivity Distributions • ssdtools</title>
 <!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="favicon-16x16.png">
 <link rel="icon" type="image/png" sizes="32x32" href="favicon-32x32.png">
@@ -15,61 +14,44 @@
 <link rel="apple-touch-icon" type="image/png" sizes="60x60" href="apple-touch-icon-60x60.png">
 <script src="deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
 <link href="deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
-<script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous">
-<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous">
-<!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="Species Sensitivity Distributions">
+<script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet">
+<link href="deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet">
+<script src="deps/headroom-0.11.0/headroom.min.js"></script><script src="deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="deps/search-1.0.0/fuse.min.js"></script><script src="deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="Species Sensitivity Distributions">
+<meta name="description" content="Species sensitivity distributions are cumulative probability distributions which are fitted to toxicity concentrations for different species as described by Posthuma et al.(2001) &lt;isbn:9781566705783&gt;. The ssdtools package uses Maximum Likelihood to fit distributions such as the gamma, log-logistic, log-normal and log-normal log-normal mixture. Multiple distributions can be averaged using Akaike Information Criteria. Confidence intervals on hazard concentrations and proportions are produced by parametric bootstrapping.">
 <meta property="og:description" content="Species sensitivity distributions are cumulative probability distributions which are fitted to toxicity concentrations for different species as described by Posthuma et al.(2001) &lt;isbn:9781566705783&gt;. The ssdtools package uses Maximum Likelihood to fit distributions such as the gamma, log-logistic, log-normal and log-normal log-normal mixture. Multiple distributions can be averaged using Akaike Information Criteria. Confidence intervals on hazard concentrations and proportions are produced by parametric bootstrapping.">
 <meta property="og:image" content="/logo.png">
-<!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]-->
 </head>
 <body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
       <ul class="navbar-nav me-auto">
-<li class="nav-item">
-  <a class="nav-link" href="articles/ssdtools.html">Get started</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="reference/index.html">Reference</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="articles/index.html">Articles</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="news/index.html">Changelog</a>
-</li>
+<li class="nav-item"><a class="nav-link" href="articles/ssdtools.html">Get started</a></li>
+<li class="nav-item"><a class="nav-link" href="reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="news/index.html">Changelog</a></li>
       </ul>
-<form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="search.json" id="search-input" placeholder="Search for" autocomplete="off">
-</form>
-
-      <ul class="navbar-nav">
-<li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+<ul class="navbar-nav">
+<li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="search.json">
+</form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul>
 </div>
 
-    
+
   </div>
 </nav><div class="container template-home">
 <div class="row">
@@ -85,19 +67,22 @@
 <div class="section level2">
 <h2 id="installation">Installation<a class="anchor" aria-label="anchor" href="#installation"></a>
 </h2>
-<p>To install the latest version from <a href="https://CRAN.R-project.org/package=ssdtools" class="external-link">CRAN</a></p>
+<p>To install the latest release version from <a href="https://CRAN.R-project.org/package=ssdtools" class="external-link">CRAN</a>.</p>
 <div class="sourceCode" id="cb1"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/utils/install.packages.html" class="external-link">install.packages</a></span><span class="op">(</span><span class="st">"ssdtools"</span><span class="op">)</span></span></code></pre></div>
-<p>To install the latest development version from <a href="https://github.com/bcgov/ssdtools" class="external-link">GitHub</a></p>
+<p>To install the latest development version from <a href="https://bcgov.r-universe.dev/ssdtools" class="external-link">r-universe</a>.</p>
 <div class="sourceCode" id="cb2"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span><span class="co"># install.packages("remotes")</span></span>
-<span><span class="fu">remotes</span><span class="fu">::</span><span class="fu">install_github</span><span class="op">(</span><span class="st">"bcgov/ssdtools"</span><span class="op">)</span></span></code></pre></div>
+<code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/utils/install.packages.html" class="external-link">install.packages</a></span><span class="op">(</span><span class="st">"ssdtools"</span>, repos <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"https://bcgov.r-universe.dev"</span>, <span class="st">"https://cloud.r-project.org"</span><span class="op">)</span><span class="op">)</span></span></code></pre></div>
+<p>or from <a href="https://github.com/bcgov/ssdtools" class="external-link">GitHub</a></p>
+<div class="sourceCode" id="cb3"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="co"># install.packages("pak", repos = sprintf("https://r-lib.github.io/p/pak/stable/%s/%s/%s", .Platform$pkgType, R.Version()$os, R.Version()$arch))</span></span>
+<span><span class="fu">pak</span><span class="fu">::</span><span class="fu"><a href="https://pak.r-lib.org/reference/pak.html" class="external-link">pak</a></span><span class="op">(</span><span class="st">"bcgov/ssdtools"</span><span class="op">)</span></span></code></pre></div>
 </div>
 <div class="section level2">
 <h2 id="introduction">Introduction<a class="anchor" aria-label="anchor" href="#introduction"></a>
 </h2>
-<p>The dependency <a href="https://cran.r-project.org/web/packages/ssddata/index.html" class="external-link"><code>ssddata</code></a> provides a example data sets for several chemicals including Boron.</p>
-<div class="sourceCode" id="cb3"><pre class="downlit sourceCode r">
+<p>The dependency <a href="https://cran.r-project.org/package=ssddata" class="external-link"><code>ssddata</code></a> provides a example data sets for several chemicals including Boron.</p>
+<div class="sourceCode" id="cb4"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://github.com/bcgov/ssdtools" class="external-link">ssdtools</a></span><span class="op">)</span></span>
 <span><span class="fu">ssddata</span><span class="fu">::</span><span class="va"><a href="https://rdrr.io/pkg/ssddata/man/ccme_boron.html" class="external-link">ccme_boron</a></span></span>
 <span><span class="co">#&gt; # A tibble: 28 × 5</span></span>
@@ -115,14 +100,14 @@ <h2 id="introduction">Introduction<a class="anchor" aria-label="anchor" href="#i
 <span><span class="co">#&gt; 10 Boron    Entosiphon sulcatum      15   Invertebrate mg/L </span></span>
 <span><span class="co">#&gt; # ℹ 18 more rows</span></span></code></pre></div>
 <p>The six default distributions are fit using <code><a href="reference/ssd_fit_dists.html">ssd_fit_dists()</a></code></p>
-<div class="sourceCode" id="cb4"><pre class="downlit sourceCode r">
+<div class="sourceCode" id="cb5"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="va">fits</span> <span class="op">&lt;-</span> <span class="fu"><a href="reference/ssd_fit_dists.html">ssd_fit_dists</a></span><span class="op">(</span><span class="fu">ssddata</span><span class="fu">::</span><span class="va"><a href="https://rdrr.io/pkg/ssddata/man/ccme_boron.html" class="external-link">ccme_boron</a></span><span class="op">)</span></span></code></pre></div>
 <p>and can be quickly plotted using <code>autoplot</code></p>
-<div class="sourceCode" id="cb5"><pre class="downlit sourceCode r">
+<div class="sourceCode" id="cb6"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/autoplot.html" class="external-link">autoplot</a></span><span class="op">(</span><span class="va">fits</span><span class="op">)</span></span></code></pre></div>
-<p><img src="reference/figures/README-unnamed-chunk-5-1.png"><!-- --></p>
+<p><img src="reference/figures/README-unnamed-chunk-4-1.png" width="100%"></p>
 <p>The goodness of fit can be assessed using <code>ssd_gof</code></p>
-<div class="sourceCode" id="cb6"><pre class="downlit sourceCode r">
+<div class="sourceCode" id="cb7"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="fu"><a href="reference/ssd_gof.html">ssd_gof</a></span><span class="op">(</span><span class="va">fits</span><span class="op">)</span></span>
 <span><span class="co">#&gt; # A tibble: 6 × 9</span></span>
 <span><span class="co">#&gt;   dist           ad     ks    cvm   aic  aicc   bic delta weight</span></span>
@@ -134,27 +119,27 @@ <h2 id="introduction">Introduction<a class="anchor" aria-label="anchor" href="#i
 <span><span class="co">#&gt; 5 lnorm_lnorm 0.320 0.116  0.0414  240.  243.  247. 4.98   0.03 </span></span>
 <span><span class="co">#&gt; 6 weibull     0.434 0.117  0.0542  238.  238.  240. 0      0.357</span></span></code></pre></div>
 <p>and the model-averaged 5% hazard concentration estimated by bootstrapping using <code>ssd_hc</code>.</p>
-<div class="sourceCode" id="cb7"><pre class="downlit sourceCode r">
+<div class="sourceCode" id="cb8"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/base/Random.html" class="external-link">set.seed</a></span><span class="op">(</span><span class="fl">99</span><span class="op">)</span></span>
 <span><span class="va">hc5</span> <span class="op">&lt;-</span> <span class="fu"><a href="reference/ssd_hc.html">ssd_hc</a></span><span class="op">(</span><span class="va">fits</span>, ci <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
 <span><span class="fu"><a href="https://rdrr.io/r/base/print.html" class="external-link">print</a></span><span class="op">(</span><span class="va">hc5</span><span class="op">)</span></span>
 <span><span class="co">#&gt; # A tibble: 1 × 11</span></span>
 <span><span class="co">#&gt;   dist    proportion   est    se   lcl   ucl    wt method    nboot pboot samples</span></span>
 <span><span class="co">#&gt;   &lt;chr&gt;        &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;chr&gt;     &lt;dbl&gt; &lt;dbl&gt; &lt;I&lt;lis&gt;</span></span>
-<span><span class="co">#&gt; 1 average       0.05  1.26 0.781 0.407  3.29     1 parametr…  1000 0.999 &lt;dbl&gt;</span></span></code></pre></div>
+<span><span class="co">#&gt; 1 average       0.05  1.26 0.782 0.407  3.29     1 parametr…  1000     1 &lt;dbl&gt;</span></span></code></pre></div>
 <p>To bootstrap in parallel set <code><a href="https://future.futureverse.org/reference/plan.html" class="external-link">future::plan()</a></code>. For example:</p>
-<div class="sourceCode" id="cb8"><pre class="downlit sourceCode r">
+<div class="sourceCode" id="cb9"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="fu">future</span><span class="fu">::</span><span class="fu"><a href="https://future.futureverse.org/reference/multisession.html" class="external-link">multisession</a></span><span class="op">(</span>workers <span class="op">=</span> <span class="fl">2</span><span class="op">)</span></span>
 <span><span class="va">hc5</span> <span class="op">&lt;-</span> <span class="fu"><a href="reference/ssd_hc.html">ssd_hc</a></span><span class="op">(</span><span class="va">fits</span>, ci <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></code></pre></div>
 <p>Model-averaged predictions complete with confidence intervals can also be estimated by parametric bootstrapping using the <code>stats</code> generic <code>predict</code>. To perform bootstrapping for each distribution in parallel register the future backend and then select the evaluation strategy.</p>
-<div class="sourceCode" id="cb9"><pre class="downlit sourceCode r">
+<div class="sourceCode" id="cb10"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="fu">doFuture</span><span class="fu">::</span><span class="fu"><a href="https://doFuture.futureverse.org/reference/registerDoFuture.html" class="external-link">registerDoFuture</a></span><span class="op">(</span><span class="op">)</span></span>
 <span><span class="fu">future</span><span class="fu">::</span><span class="fu"><a href="https://future.futureverse.org/reference/plan.html" class="external-link">plan</a></span><span class="op">(</span><span class="fu">future</span><span class="fu">::</span><span class="va"><a href="https://future.futureverse.org/reference/multisession.html" class="external-link">multisession</a></span><span class="op">)</span></span>
 <span></span>
 <span><span class="fu"><a href="https://rdrr.io/r/base/Random.html" class="external-link">set.seed</a></span><span class="op">(</span><span class="fl">99</span><span class="op">)</span></span>
 <span><span class="va">boron_pred</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/stats/predict.html" class="external-link">predict</a></span><span class="op">(</span><span class="va">fits</span>, ci <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></code></pre></div>
 <p>The predictions can be plotted together with the original data using <code>ssd_plot</code>.</p>
-<div class="sourceCode" id="cb10"><pre class="downlit sourceCode r">
+<div class="sourceCode" id="cb11"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://ggplot2.tidyverse.org" class="external-link">ggplot2</a></span><span class="op">)</span></span>
 <span></span>
 <span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/theme_get.html" class="external-link">theme_set</a></span><span class="op">(</span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/ggtheme.html" class="external-link">theme_bw</a></span><span class="op">(</span><span class="op">)</span><span class="op">)</span></span>
@@ -165,7 +150,7 @@ <h2 id="introduction">Introduction<a class="anchor" aria-label="anchor" href="#i
 <span><span class="op">)</span> <span class="op">+</span></span>
 <span>  <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/expand_limits.html" class="external-link">expand_limits</a></span><span class="op">(</span>x <span class="op">=</span> <span class="fl">3000</span><span class="op">)</span> <span class="op">+</span></span>
 <span>  <span class="fu"><a href="reference/scale_colour_ssd.html">scale_colour_ssd</a></span><span class="op">(</span><span class="op">)</span></span></code></pre></div>
-<p><img src="reference/figures/README-unnamed-chunk-10-1.png"><!-- --></p>
+<p><img src="reference/figures/README-unnamed-chunk-9-1.png" width="100%"></p>
 </div>
 <div class="section level2">
 <h2 id="references">References<a class="anchor" aria-label="anchor" href="#references"></a>
@@ -177,7 +162,7 @@ <h2 id="information">Information<a class="anchor" aria-label="anchor" href="#inf
 </h2>
 <p>Get started with ssdtools at <a href="https://bcgov.github.io/ssdtools/articles/ssdtools.html" class="external-link uri">https://bcgov.github.io/ssdtools/articles/ssdtools.html</a>.</p>
 <p>A shiny app to allow non-R users to interface with ssdtools is available at <a href="https://github.com/bcgov/shinyssdtools" class="external-link uri">https://github.com/bcgov/shinyssdtools</a>.</p>
-<p>For the latest changes visit <a href="https://bcgov.github.io/ssdtools/news" class="external-link">NEWS</a>.</p>
+<p>For the latest changes visit <a href="https://bcgov.github.io/ssdtools/news/" class="external-link">NEWS</a>.</p>
 <p>The citation for the shiny app:</p>
 <p><em>Dalgarno, S. 2021. shinyssdtools: A web application for fitting Species Sensitivity Distributions (SSDs). JOSS 6(57): 2848. <a href="https://joss.theoj.org/papers/10.21105/joss.02848" class="external-link uri">https://joss.theoj.org/papers/10.21105/joss.02848</a>.</em></p>
 <p>The ssdtools package was developed as a result of earlier drafts of:</p>
@@ -204,7 +189,9 @@ <h2 id="code-of-conduct">Code of Conduct<a class="anchor" aria-label="anchor" hr
 <div class="section level2">
 <h2 id="licensing">Licensing<a class="anchor" aria-label="anchor" href="#licensing"></a>
 </h2>
-<p>Copyright 2024 Province of British Columbia, Environment and Climate Change Canada, and Australian Government Department of Climate Change, Energy, the Environment and Water</p>
+<p>Copyright 2018-2024 Province of British Columbia<br>
+Copyright 2021 Environment and Climate Change Canada<br>
+Copyright 2023-2024 Australian Government Department of Climate Change, Energy, the Environment and Water</p>
 <p>The documentation is released under the <a href="https://creativecommons.org/licenses/by/4.0/" class="external-link">CC BY 4.0 License</a></p>
 <p>The code is released under the <a href="https://www.apache.org/licenses/LICENSE-2.0" class="external-link">Apache License 2.0</a></p>
 </div>
@@ -266,9 +253,9 @@ <h2 data-toc-skip>Developers</h2>
 <div class="dev-status">
 <h2 data-toc-skip>Dev status</h2>
 <ul class="list-unstyled">
-<li><a href="https://github.com/bcgov/repomountie/blob/master/doc/lifecycle-badges.md" class="external-link"><img src="https://img.shields.io/badge/Lifecycle-Stable-97ca00" alt="Lifecycle:Stable"></a></li>
+<li><a href="https://lifecycle.r-lib.org/articles/stages.html#stable" class="external-link"><img src="https://img.shields.io/badge/lifecycle-stable-brightgreen.svg" alt="Lifecycle: stable"></a></li>
 <li><a href="https://github.com/bcgov/ssdtools/actions/workflows/R-CMD-check.yaml" class="external-link"><img src="https://github.com/bcgov/ssdtools/actions/workflows/R-CMD-check.yaml/badge.svg" alt="R-CMD-check"></a></li>
-<li><a href="https://codecov.io/github/bcgov/ssdtools" class="external-link"><img src="https://codecov.io/github/bcgov/ssdtools/graph/badge.svg?token=gVKHQQD1Jp" alt="codecov"></a></li>
+<li><a href="https://app.codecov.io/gh/bcgov/ssdtools" class="external-link"><img src="https://codecov.io/gh/bcgov/ssdtools/graph/badge.svg?token=gVKHQQD1Jp" alt="Codecov test coverage"></a></li>
 <li><a href="https://cran.r-project.org/package=ssdtools" class="external-link"><img src="https://www.r-pkg.org/badges/version/ssdtools" alt="CRAN status"></a></li>
 </ul>
 </div>
@@ -282,15 +269,15 @@ <h2 data-toc-skip>Dev status</h2>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer>
 </div>
 
-  
 
-  
+
+
 
   </body>
 </html>
diff --git a/katex-auto.js b/katex-auto.js
new file mode 100644
index 00000000..20651d9f
--- /dev/null
+++ b/katex-auto.js
@@ -0,0 +1,14 @@
+// https://github.com/jgm/pandoc/blob/29fa97ab96b8e2d62d48326e1b949a71dc41f47a/src/Text/Pandoc/Writers/HTML.hs#L332-L345
+document.addEventListener("DOMContentLoaded", function () {
+  var mathElements = document.getElementsByClassName("math");
+  var macros = [];
+  for (var i = 0; i < mathElements.length; i++) {
+    var texText = mathElements[i].firstChild;
+    if (mathElements[i].tagName == "SPAN") {
+      katex.render(texText.data, mathElements[i], {
+        displayMode: mathElements[i].classList.contains("display"),
+        throwOnError: false,
+        macros: macros,
+        fleqn: false
+      });
+    }}});
diff --git a/lightswitch.js b/lightswitch.js
new file mode 100644
index 00000000..9467125a
--- /dev/null
+++ b/lightswitch.js
@@ -0,0 +1,85 @@
+
+/*!
+ * Color mode toggler for Bootstrap's docs (https://getbootstrap.com/)
+ * Copyright 2011-2023 The Bootstrap Authors
+ * Licensed under the Creative Commons Attribution 3.0 Unported License.
+ * Updates for {pkgdown} by the {bslib} authors, also licensed under CC-BY-3.0.
+ */
+
+const getStoredTheme = () => localStorage.getItem('theme')
+const setStoredTheme = theme => localStorage.setItem('theme', theme)
+
+const getPreferredTheme = () => {
+  const storedTheme = getStoredTheme()
+  if (storedTheme) {
+    return storedTheme
+  }
+
+  return window.matchMedia('(prefers-color-scheme: dark)').matches ? 'dark' : 'light'
+}
+
+const setTheme = theme => {
+  if (theme === 'auto') {
+    document.documentElement.setAttribute('data-bs-theme', (window.matchMedia('(prefers-color-scheme: dark)').matches ? 'dark' : 'light'))
+  } else {
+    document.documentElement.setAttribute('data-bs-theme', theme)
+  }
+}
+
+function bsSetupThemeToggle () {
+  'use strict'
+
+  const showActiveTheme = (theme, focus = false) => {
+    var activeLabel, activeIcon;
+
+    document.querySelectorAll('[data-bs-theme-value]').forEach(element => {
+      const buttonTheme = element.getAttribute('data-bs-theme-value')
+      const isActive = buttonTheme == theme
+      
+      element.classList.toggle('active', isActive)
+      element.setAttribute('aria-pressed', isActive)
+
+      if (isActive) {
+        activeLabel = element.textContent;
+        activeIcon = element.querySelector('span').classList.value;
+      }
+    })
+
+    const themeSwitcher = document.querySelector('#dropdown-lightswitch')
+    if (!themeSwitcher) {
+      return
+    }
+
+    themeSwitcher.setAttribute('aria-label', activeLabel)
+    themeSwitcher.querySelector('span').classList.value = activeIcon;
+
+    if (focus) {
+      themeSwitcher.focus()
+    }
+  }
+
+  window.matchMedia('(prefers-color-scheme: dark)').addEventListener('change', () => {
+    const storedTheme = getStoredTheme()
+    if (storedTheme !== 'light' && storedTheme !== 'dark') {
+      setTheme(getPreferredTheme())
+    }
+  })
+
+  window.addEventListener('DOMContentLoaded', () => {
+    showActiveTheme(getPreferredTheme())
+
+    document
+      .querySelectorAll('[data-bs-theme-value]')
+      .forEach(toggle => {
+        toggle.addEventListener('click', () => {
+          const theme = toggle.getAttribute('data-bs-theme-value')
+          setTheme(theme)
+          setStoredTheme(theme)
+          showActiveTheme(theme, true)
+        })
+      })
+  })
+}
+
+setTheme(getPreferredTheme());
+bsSetupThemeToggle();
diff --git a/news/index.html b/news/index.html
index 7d8f983b..c43419d8 100644
--- a/news/index.html
+++ b/news/index.html
@@ -1,59 +1,42 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Changelog • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Changelog"><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Changelog • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Changelog"><meta property="og:image" content="/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/ssdtools.html">Get started</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../articles/index.html">Articles</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/ssdtools.html">Get started</a></li>
+<li class="nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../articles/index.html">Articles</a></li>
+<li class="active nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-news">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Changelog</h1>
-      <small>Source: <a href="https://github.com/bcgov/ssdtools/blob/HEAD/NEWS.md" class="external-link"><code>NEWS.md</code></a></small>
+      <small>Source: <a href="https://github.com/bcgov/ssdtools/blob/main/NEWS.md" class="external-link"><code>NEWS.md</code></a></small>
     </div>
 
     <div class="section level2">
-<h2 class="pkg-version" data-toc-text="1.0.6.9015" id="ssdtools-1069015">ssdtools 1.0.6.9015<a class="anchor" aria-label="anchor" href="#ssdtools-1069015"></a></h2>
+<h2 class="pkg-version" data-toc-text="1.0.6.9018" id="ssdtools-1069018">ssdtools 1.0.6.9018<a class="anchor" aria-label="anchor" href="#ssdtools-1069018"></a></h2>
 <div class="section level3">
-<h3 id="additions-1-0-6-9015">Additions<a class="anchor" aria-label="anchor" href="#additions-1-0-6-9015"></a></h3>
+<h3 id="additions-1-0-6-9018">Additions<a class="anchor" aria-label="anchor" href="#additions-1-0-6-9018"></a></h3>
 <ul><li>Added to <code><a href="../reference/ssd_hc.html">ssd_hc()</a></code> and <code><a href="../reference/ssd_hp.html">ssd_hp()</a></code>
 <ul><li>
 <code>multi_est = TRUE</code> argument to calculate model averaged estimates treating the distributions as constituting a single mixture distribution.</li>
@@ -65,15 +48,22 @@ <h3 id="additions-1-0-6-9015">Additions<a class="anchor" aria-label="anchor" hre
 <code>save_to</code> argument to specify a directory in which to save the bootstrap datasets as csv files and parameter estimates as rds files. The files are named <code>data_000000001_xx.csv</code> and <code>estimates_000000001_xx.rds</code> etc where <code>xx</code> is the distribution. The parent data set and estimates are named <code>boot_000000000_xx.csv</code> and <code>estimates_000000000_xx.csv</code>.</li>
 </ul></li>
 <li>Added <code><a href="../reference/ssd_hp_bcanz.html">ssd_hp_bcanz()</a></code> and <code><a href="../reference/ssd_hp.html">ssd_hp.fitburrlioz()</a></code> function to get hazard proportions.</li>
+<li>Added <code><a href="../reference/ssd_label_comma.html">ssd_label_comma()</a></code> for x-axis labels.</li>
 <li>Added <code>trans = "log10"</code> and <code>add_x = 0</code> arguments to <code><a href="../reference/ssd_plot.html">ssd_plot()</a></code> and <code><a href="../reference/ssd_plot_data.html">ssd_plot_data()</a></code>.</li>
 <li>Added <code><a href="../reference/ssd_p.html">ssd_pmulti()</a></code>, <code><a href="../reference/ssd_q.html">ssd_qmulti()</a></code> and <code><a href="../reference/ssd_r.html">ssd_rmulti()</a></code> for combined mixture distributions.</li>
 <li>Added <code>ssd_exx()</code> functions to get default parameter estimates for distributions.</li>
+<li>Added <code><a href="../reference/ssd_censor_data.html">ssd_censor_data()</a></code> to censor data.</li>
 <li>Added David Fox and Rebecca Fisher as co-authors.</li>
 <li>Added <code>npars</code> argument to <code><a href="../reference/ssd_dists_bcanz.html">ssd_dists_bcanz()</a></code>.</li>
+<li>Added <code>big.mark = ","</code> for x-axis labels and <code>suffix = "%"</code> to y-axis labels to plotting functions.</li>
 </ul></div>
 <div class="section level3">
-<h3 id="modifications-1-0-6-9015">Modifications<a class="anchor" aria-label="anchor" href="#modifications-1-0-6-9015"></a></h3>
-<ul><li>Changed to <code>min_pboot = 0.95</code> for all functions.</li>
+<h3 id="modifications-1-0-6-9018">Modifications<a class="anchor" aria-label="anchor" href="#modifications-1-0-6-9018"></a></h3>
+<ul><li>Only non-parametric bootstrap for censored data.</li>
+<li>Changed <code>at_boundary_ok = TRUE</code> to ensure <code>lnorm_lnorm</code> mixture distribution included.</li>
+<li>Changed <code>computable = TRUE</code> to as not required for bootstrapping.</li>
+<li>Changed to <code>min_pboot = 0.95</code> for all functions.</li>
+<li>Changed <code>min_pmix = 0</code> to <code>min_pmix = ssd_min_pmix(nrow(data))</code> to by default give set min_pmix to be <code>0.1</code> or <code>3/nrow(data)</code> if greater to improve convergence of mixture models.</li>
 <li>
 <code><a href="../reference/estimates.fitdists.html">estimates.fitdists()</a></code> now includes weights in returned parameters as well as an <code>all_estimates = FALSE</code> argument to allow parameter values for all implemented distributions to be included.</li>
 <li>
@@ -94,22 +84,22 @@ <h3 id="modifications-1-0-6-9015">Modifications<a class="anchor" aria-label="anc
 <li>Offset starting values for <code>gompertz</code> distribution.</li>
 </ul></div>
 <div class="section level3">
-<h3 id="fixes-1-0-6-9015">Fixes<a class="anchor" aria-label="anchor" href="#fixes-1-0-6-9015"></a></h3>
+<h3 id="fixes-1-0-6-9018">Fixes<a class="anchor" aria-label="anchor" href="#fixes-1-0-6-9018"></a></h3>
 <ul><li>
 <code><a href="../reference/ssd_hc.html">ssd_hc()</a></code> and <code><a href="../reference/ssd_hp.html">ssd_hp()</a></code> now include <code>parametric</code> column.</li>
 <li>
 <code><a href="../reference/ssd_hp.html">ssd_hp()</a></code> now includes <code>wt</code> column</li>
 </ul></div>
 <div class="section level3">
-<h3 id="deprecation-1-0-6-9015">Deprecation<a class="anchor" aria-label="anchor" href="#deprecation-1-0-6-9015"></a></h3>
-<ul><li>Soft-deprecated argument <code>percent = 5</code> for <code>proportion = 0.05</code> for <code><a href="../reference/ssd_hc.html">ssd_hc()</a></code> and <code><a href="https://rdrr.io/r/stats/predict.html" class="external-link">predict()</a></code>.</li>
-<li>
-<code><a href="../reference/is_censored.html">is_censored()</a></code>, <code><a href="../reference/ssd_plot_cf.html">ssd_plot_cf()</a></code> and <code>comma_signif(...)</code> now warn deprecated unconditionally.</li>
+<h3 id="deprecation-1-0-6-9018">Deprecation<a class="anchor" aria-label="anchor" href="#deprecation-1-0-6-9018"></a></h3>
+<ul><li>Soft-deprecated <code><a href="../reference/comma_signif.html">comma_signif()</a></code>.</li>
+<li>Soft-deprecated argument <code>percent = 5</code> for <code>proportion = 0.05</code> for <code><a href="../reference/ssd_hc.html">ssd_hc()</a></code> and <code><a href="https://rdrr.io/r/stats/predict.html" class="external-link">predict()</a></code>.</li>
 <li>
-<code>plot.fitdists()</code> now defunct.</li>
-<li>Removed defunct <code>ssd_cfplot()</code>
-</li>
+<code><a href="../reference/is_censored.html">is_censored()</a></code>, <code>plot.fitdists()</code>, <code><a href="../reference/ssd_plot_cf.html">ssd_plot_cf()</a></code> <code><a href="../reference/geom_ssd.html">geom_ssd()</a></code>, <code><a href="../reference/stat_ssd.html">stat_ssd()</a></code>, <code>xgompertz()</code>, <code>xlgumbel</code>, <code><a href="../reference/ssd_hc_burrlioz.html">ssd_hc_burrlioz()</a></code> now defunct.</li>
+<li>Deprecated <code><a href="../reference/ssd_wqg_bc.html">ssd_wqg_bc()</a></code> and <code><a href="../reference/ssd_wqg_burrlioz.html">ssd_wqg_burrlioz()</a></code>. (<a href="https://github.com/bcgov/ssdtools/issues/75" class="external-link">#75</a>).</li>
+<li>Deprecated <code><a href="../reference/ssd_fit_bcanz.html">ssd_fit_bcanz()</a></code> and <code><a href="../reference/ssd_hp_bcanz.html">ssd_hp_bcanz()</a></code>.</li>
 <li>Removed <code>ccme_data</code> and <code>ccme_boron</code> data set.</li>
+<li>Removed <code>pearson1000</code> data set (now in <code>ssdtests</code> data).</li>
 </ul></div>
 </div>
     <div class="section level2">
@@ -147,7 +137,7 @@ <h2 class="pkg-version" data-toc-text="1.0.0" id="ssdtools-100">ssdtools 1.0.0<a
 <p>ssdtools version 1.0.0 is the first major release of <code>ssdtools</code> with some important improvements and breaking changes.</p>
 <div class="section level3">
 <h3 id="fitting-1-0-0">Fitting<a class="anchor" aria-label="anchor" href="#fitting-1-0-0"></a></h3>
-<p>An important change to the functionality of <code><a href="../reference/ssd_fit_dists.html">ssd_fit_dists()</a></code> was to switch from model fitting using <a href="https://github.com/aursiber/fitdistrplus" class="external-link"><code>fitdistrplus</code></a> to <a href="https://github.com/kaskr/adcomp" class="external-link"><code>TMB</code></a> which has resulted in improved handling of censored data. Although it was hoped that model fitting would be faster this is currently not the case.</p>
+<p>An important change to the functionality of <code><a href="../reference/ssd_fit_dists.html">ssd_fit_dists()</a></code> was to switch from model fitting using <a href="https://github.com/lbbe-software/fitdistrplus" class="external-link"><code>fitdistrplus</code></a> to <a href="https://github.com/kaskr/adcomp" class="external-link"><code>TMB</code></a> which has resulted in improved handling of censored data. Although it was hoped that model fitting would be faster this is currently not the case.</p>
 <p>As a result of the change the <code>fitdists</code> objects returned by <code><a href="../reference/ssd_fit_dists.html">ssd_fit_dists()</a></code> from previous versions of <code>ssdtools</code> are not compatible with the major release and should be regenerated.</p>
 </div>
 <div class="section level3">
@@ -280,7 +270,7 @@ <h3 id="plotting-1-0-0">Plotting<a class="anchor" aria-label="anchor" href="#plo
 <li>added <code>linecolor</code> (by default <code>NULL</code>) argument to specify line color.</li>
 <li>changed default value of <code>ylab</code> from “Percent of Species Affected” to “Species Affected”.</li>
 </ul><p>Renamed - <code>GeomSsd</code> to <code>GeomSsdpoint</code>. - <code>StatSsd</code> to <code>StatSsdpoint</code></p>
-<p>Soft-deprecated - <code><a href="../reference/geom_ssd.html">geom_ssd()</a></code> for <code><a href="../reference/geom_ssdpoint.html">geom_ssdpoint()</a></code>. - <code><a href="../reference/stat_ssd.html">stat_ssd()</a></code>. - <code><a href="../reference/ssd_plot_cf.html">ssd_plot_cf()</a></code> for <code><a href="https://rdrr.io/pkg/fitdistrplus/man/descdist.html" class="external-link">fitdistrplus::descdist()</a></code>.</p>
+<p>Soft-deprecated - <code><a href="../reference/geom_ssd.html">geom_ssd()</a></code> for <code><a href="../reference/geom_ssdpoint.html">geom_ssdpoint()</a></code>. - <code><a href="../reference/stat_ssd.html">stat_ssd()</a></code>. - <code><a href="../reference/ssd_plot_cf.html">ssd_plot_cf()</a></code> for <code><a href="https://lbbe-software.github.io/fitdistrplus/reference/descdist.html" class="external-link">fitdistrplus::descdist()</a></code>.</p>
 </div>
 <div class="section level3">
 <h3 id="data-1-0-0">Data<a class="anchor" aria-label="anchor" href="#data-1-0-0"></a></h3>
@@ -474,7 +464,7 @@ <h2 class="pkg-version" data-toc-text="0.0.2" id="ssdtools-002">ssdtools 0.0.2<a
 <h2 class="pkg-version" data-toc-text="0.0.1" id="ssdtools-001">ssdtools 0.0.1<a class="anchor" aria-label="anchor" href="#ssdtools-001"></a></h2>
 <ul><li>Initial Release</li>
 </ul></div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -483,14 +473,14 @@ <h2 class="pkg-version" data-toc-text="0.0.1" id="ssdtools-001">ssdtools 0.0.1<a
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/pkgdown.js b/pkgdown.js
index 9bd6621e..1a99c65f 100644
--- a/pkgdown.js
+++ b/pkgdown.js
@@ -153,4 +153,10 @@ async function searchFuse(query, callback) {
   });
 })(window.jQuery || window.$)
 
-
+document.addEventListener('keydown', function(event) {
+  // Check if the pressed key is '/'
+  if (event.key === '/') {
+    event.preventDefault();  // Prevent any default action associated with the '/' key
+    document.getElementById('search-input').focus();  // Set focus to the search input
+  }
+});
diff --git a/pkgdown.yml b/pkgdown.yml
index 063c2d3b..1cf7d57a 100644
--- a/pkgdown.yml
+++ b/pkgdown.yml
@@ -1,13 +1,12 @@
 pandoc: 3.1.11
-pkgdown: 2.0.9
+pkgdown: 2.1.1
 pkgdown_sha: ~
 articles:
   additional-technical-details: additional-technical-details.html
-  confidence-intervals: confidence-intervals.html
+  articles/confidence-intervals: confidence-intervals.html
   customising-plots: customising-plots.html
   distributions: distributions.html
   faqs: faqs.html
   model-averaging: model-averaging.html
   ssdtools: ssdtools.html
-last_built: 2024-05-16T03:27Z
-
+last_built: 2024-09-25T18:23Z
diff --git a/reference/augment.fitdists.html b/reference/augment.fitdists.html
index 09db1b2e..84371964 100644
--- a/reference/augment.fitdists.html
+++ b/reference/augment.fitdists.html
@@ -1,53 +1,36 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Get a tibble of the original data with augmentation."><title>Augmented Data from fitdists Object — augment.fitdists • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Augmented Data from fitdists Object — augment.fitdists"><meta property="og:description" content="Get a tibble of the original data with augmentation."><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Augmented Data from fitdists Object — augment.fitdists • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Augmented Data from fitdists Object — augment.fitdists"><meta name="description" content="Get a tibble of the original data with augmentation."><meta property="og:description" content="Get a tibble of the original data with augmentation."><meta property="og:image" content="/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/ssdtools.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../articles/index.html">Articles</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/ssdtools.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Augmented Data from fitdists Object</h1>
-      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/HEAD/R/augment.R" class="external-link"><code>R/augment.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/main/R/augment.R" class="external-link"><code>R/augment.R</code></a></small>
       <div class="d-none name"><code>augment.fitdists.Rd</code></div>
     </div>
 
@@ -57,30 +40,30 @@
 
     <div class="section level2">
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="co"># S3 method for fitdists</span></span>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="co"># S3 method for class 'fitdists'</span></span>
 <span><span class="fu"><a href="https://generics.r-lib.org/reference/augment.html" class="external-link">augment</a></span><span class="op">(</span><span class="va">x</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
     </div>
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>x</dt>
+
+
+<dl><dt id="arg-x">x<a class="anchor" aria-label="anchor" href="#arg-x"></a></dt>
 <dd><p>The object.</p></dd>
 
 
-<dt>...</dt>
+<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
 <dd><p>Unused.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>A tibble of the agumented data.</p>
+    <p>A tibble of the agumented data.</p>
     </div>
     <div class="section level2">
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
     <div class="dont-index"><p><code><a href="ssd_data.html">ssd_data()</a></code></p>
-<p>Other generics: 
+<p>Other generics:
 <code><a href="glance.fitdists.html">glance.fitdists</a>()</code>,
 <code><a href="tidy.fitdists.html">tidy.fitdists</a>()</code></p></div>
     </div>
@@ -105,7 +88,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 18 more rows</span></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -114,14 +97,14 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/autoplot.fitdists-1.png b/reference/autoplot.fitdists-1.png
index 3fd35b2d..7d75c9f0 100644
Binary files a/reference/autoplot.fitdists-1.png and b/reference/autoplot.fitdists-1.png differ
diff --git a/reference/autoplot.fitdists.html b/reference/autoplot.fitdists.html
index f9ddc706..100c0065 100644
--- a/reference/autoplot.fitdists.html
+++ b/reference/autoplot.fitdists.html
@@ -1,53 +1,36 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="A wrapper on ssd_plot_cdf()."><title>Plot a fitdists Object — autoplot.fitdists • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Plot a fitdists Object — autoplot.fitdists"><meta property="og:description" content="A wrapper on ssd_plot_cdf()."><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Plot a fitdists Object — autoplot.fitdists • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Plot a fitdists Object — autoplot.fitdists"><meta name="description" content="A wrapper on ssd_plot_cdf()."><meta property="og:description" content="A wrapper on ssd_plot_cdf()."><meta property="og:image" content="/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/ssdtools.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../articles/index.html">Articles</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/ssdtools.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Plot a fitdists Object</h1>
-      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/HEAD/R/autoplot.R" class="external-link"><code>R/autoplot.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/main/R/autoplot.R" class="external-link"><code>R/autoplot.R</code></a></small>
       <div class="d-none name"><code>autoplot.fitdists.Rd</code></div>
     </div>
 
@@ -57,25 +40,25 @@
 
     <div class="section level2">
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="co"># S3 method for fitdists</span></span>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="co"># S3 method for class 'fitdists'</span></span>
 <span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/autoplot.html" class="external-link">autoplot</a></span><span class="op">(</span><span class="va">object</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
     </div>
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>object</dt>
+
+
+<dl><dt id="arg-object">object<a class="anchor" aria-label="anchor" href="#arg-object"></a></dt>
 <dd><p>The object.</p></dd>
 
 
-<dt>...</dt>
+<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
 <dd><p>Unused.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>A ggplot object.</p>
+    <p>A ggplot object.</p>
     </div>
     <div class="section level2">
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
@@ -89,7 +72,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-plt img"><img src="autoplot.fitdists-1.png" alt="" width="700" height="433"></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -98,14 +81,14 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/boron_pred.html b/reference/boron_pred.html
index 88b5f717..df0f28e9 100644
--- a/reference/boron_pred.html
+++ b/reference/boron_pred.html
@@ -1,53 +1,36 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="A data frame of the predictions based on 1,000 bootstrap iterations."><title>Model Averaged Predictions for CCME Boron Data — boron_pred • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Model Averaged Predictions for CCME Boron Data — boron_pred"><meta property="og:description" content="A data frame of the predictions based on 1,000 bootstrap iterations."><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Model Averaged Predictions for CCME Boron Data — boron_pred • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Model Averaged Predictions for CCME Boron Data — boron_pred"><meta name="description" content="A data frame of the predictions based on 1,000 bootstrap iterations."><meta property="og:description" content="A data frame of the predictions based on 1,000 bootstrap iterations."><meta property="og:image" content="/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/ssdtools.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../articles/index.html">Articles</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/ssdtools.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Model Averaged Predictions for CCME Boron Data</h1>
-      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/HEAD/R/data.R" class="external-link"><code>R/data.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/main/R/data.R" class="external-link"><code>R/data.R</code></a></small>
       <div class="d-none name"><code>boron_pred.Rd</code></div>
     </div>
 
@@ -66,7 +49,7 @@ <h2 id="format">Format<a class="anchor" aria-label="anchor" href="#format"></a><
     </div>
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
-    
+
 <dl><dt>proportion</dt>
 <dd><p>The proportion of species affected (int).</p></dd>
 
@@ -94,15 +77,15 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 6 × 11</span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>   dist    proportion   est    se    lcl   ucl    wt method   nboot pboot samples</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>   <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>        <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>  <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;I&lt;lis&gt;</span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">1</span> average       0.01 0.267 0.401 0.041<span style="text-decoration: underline;">8</span>  1.53     1 paramet…  <span style="text-decoration: underline;">1</span>000 0.999 <span style="color: #949494;">&lt;dbl&gt;</span>  </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">2</span> average       0.02 0.531 0.517 0.110   2.03     1 paramet…  <span style="text-decoration: underline;">1</span>000 0.999 <span style="color: #949494;">&lt;dbl&gt;</span>  </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">3</span> average       0.03 0.783 0.614 0.198   2.50     1 paramet…  <span style="text-decoration: underline;">1</span>000 0.999 <span style="color: #949494;">&lt;dbl&gt;</span>  </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">4</span> average       0.04 1.02  0.700 0.300   2.90     1 paramet…  <span style="text-decoration: underline;">1</span>000 0.999 <span style="color: #949494;">&lt;dbl&gt;</span>  </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">5</span> average       0.05 1.26  0.781 0.407   3.29     1 paramet…  <span style="text-decoration: underline;">1</span>000 0.999 <span style="color: #949494;">&lt;dbl&gt;</span>  </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">6</span> average       0.06 1.48  0.859 0.520   3.72     1 paramet…  <span style="text-decoration: underline;">1</span>000 0.999 <span style="color: #949494;">&lt;dbl&gt;</span>  </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">1</span> average       0.01 0.267 0.402 0.041<span style="text-decoration: underline;">9</span>  1.53     1 paramet…  <span style="text-decoration: underline;">1</span>000     1 <span style="color: #949494;">&lt;dbl&gt;</span>  </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">2</span> average       0.02 0.531 0.518 0.110   2.03     1 paramet…  <span style="text-decoration: underline;">1</span>000     1 <span style="color: #949494;">&lt;dbl&gt;</span>  </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">3</span> average       0.03 0.783 0.615 0.198   2.50     1 paramet…  <span style="text-decoration: underline;">1</span>000     1 <span style="color: #949494;">&lt;dbl&gt;</span>  </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">4</span> average       0.04 1.02  0.701 0.300   2.89     1 paramet…  <span style="text-decoration: underline;">1</span>000     1 <span style="color: #949494;">&lt;dbl&gt;</span>  </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">5</span> average       0.05 1.26  0.782 0.407   3.29     1 paramet…  <span style="text-decoration: underline;">1</span>000     1 <span style="color: #949494;">&lt;dbl&gt;</span>  </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">6</span> average       0.06 1.48  0.859 0.520   3.72     1 paramet…  <span style="text-decoration: underline;">1</span>000     1 <span style="color: #949494;">&lt;dbl&gt;</span>  </span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -111,14 +94,14 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/coef.fitdists.html b/reference/coef.fitdists.html
index e174358d..2598209d 100644
--- a/reference/coef.fitdists.html
+++ b/reference/coef.fitdists.html
@@ -1,53 +1,36 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="A wrapper on tidy.fitdists()."><title>Turn a fitdists Object into a Tidy Tibble — coef.fitdists • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Turn a fitdists Object into a Tidy Tibble — coef.fitdists"><meta property="og:description" content="A wrapper on tidy.fitdists()."><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Turn a fitdists Object into a Tidy Tibble — coef.fitdists • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Turn a fitdists Object into a Tidy Tibble — coef.fitdists"><meta name="description" content="A wrapper on tidy.fitdists()."><meta property="og:description" content="A wrapper on tidy.fitdists()."><meta property="og:image" content="/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/ssdtools.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../articles/index.html">Articles</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/ssdtools.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Turn a fitdists Object into a Tidy Tibble</h1>
-      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/HEAD/R/coef.R" class="external-link"><code>R/coef.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/main/R/coef.R" class="external-link"><code>R/coef.R</code></a></small>
       <div class="d-none name"><code>coef.fitdists.Rd</code></div>
     </div>
 
@@ -57,17 +40,19 @@
 
     <div class="section level2">
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="co"># S3 method for fitdists</span></span>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="co"># S3 method for class 'fitdists'</span></span>
 <span><span class="fu"><a href="https://rdrr.io/r/stats/coef.html" class="external-link">coef</a></span><span class="op">(</span><span class="va">object</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
     </div>
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>object</dt>
+
+
+<dl><dt id="arg-object">object<a class="anchor" aria-label="anchor" href="#arg-object"></a></dt>
 <dd><p>The object.</p></dd>
 
 
-<dt>...</dt>
+<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
 <dd><p>Unused.</p></dd>
 
 </dl></div>
@@ -94,13 +79,13 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> lnorm_lnorm meanlog1     0.949 0.318</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> lnorm_lnorm meanlog2     3.20  0.253</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">11</span> lnorm_lnorm pmix         0.284 0.123</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">12</span> lnorm_lnorm sdlog1       0.555 0.212</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">12</span> lnorm_lnorm sdlog1       0.554 0.212</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">13</span> lnorm_lnorm sdlog2       0.769 0.194</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">14</span> weibull     scale       23.5   4.86 </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">15</span> weibull     shape        0.966 0.145</span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -109,14 +94,14 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/comma_signif.html b/reference/comma_signif.html
index f26ec3fd..eea81f5b 100644
--- a/reference/comma_signif.html
+++ b/reference/comma_signif.html
@@ -1,101 +1,85 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="By default the numeric vectors are first rounded to three significant figures.
-Then scales::comma is only applied to values greater than or equal to 1000
-to ensure that labels are permitted to have different numbers of decimal places."><title>Comma and Significance Formatter — comma_signif • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Comma and Significance Formatter — comma_signif"><meta property="og:description" content="By default the numeric vectors are first rounded to three significant figures.
-Then scales::comma is only applied to values greater than or equal to 1000
-to ensure that labels are permitted to have different numbers of decimal places."><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Comma and Significance Formatter — comma_signif • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Comma and Significance Formatter — comma_signif"><meta name="description" content="Comma and Significance Formatter"><meta property="og:description" content="Comma and Significance Formatter"><meta property="og:image" content="/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/ssdtools.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../articles/index.html">Articles</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/ssdtools.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Comma and Significance Formatter</h1>
-      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/HEAD/R/utils.R" class="external-link"><code>R/utils.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/main/R/utils.R" class="external-link"><code>R/utils.R</code></a></small>
       <div class="d-none name"><code>comma_signif.Rd</code></div>
     </div>
 
     <div class="ref-description section level2">
-    <p>By default the numeric vectors are first rounded to three significant figures.
-Then scales::comma is only applied to values greater than or equal to 1000
-to ensure that labels are permitted to have different numbers of decimal places.</p>
+    <p>Comma and Significance Formatter</p>
     </div>
 
     <div class="section level2">
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">comma_signif</span><span class="op">(</span><span class="va">x</span>, digits <span class="op">=</span> <span class="fl">3</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">comma_signif</span><span class="op">(</span><span class="va">x</span>, digits <span class="op">=</span> <span class="fl">3</span>, <span class="va">...</span>, big.mark <span class="op">=</span> <span class="st">","</span><span class="op">)</span></span></code></pre></div>
     </div>
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>x</dt>
+
+
+<dl><dt id="arg-x">x<a class="anchor" aria-label="anchor" href="#arg-x"></a></dt>
 <dd><p>A numeric vector to format.</p></dd>
 
 
-<dt>digits</dt>
+<dt id="arg-digits">digits<a class="anchor" aria-label="anchor" href="#arg-digits"></a></dt>
 <dd><p>A whole number specifying the number of significant figures.</p></dd>
 
 
-<dt>...</dt>
-<dd><p>Additional arguments passed to <a href="https://scales.r-lib.org/reference/comma.html" class="external-link">scales::comma</a>.</p></dd>
+<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
+<dd><p>Unused.</p></dd>
+
+
+<dt id="arg-big-mark">big.mark<a class="anchor" aria-label="anchor" href="#arg-big-mark"></a></dt>
+<dd><p>A string specifying used between every 3 digits to separate thousands on the x-axis.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>A character vector.</p>
+    <p>A character vector.</p>
+    </div>
+    <div class="section level2">
+    <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
+    <div class="dont-index"><p><code><a href="ssd_label_comma.html">ssd_label_comma()</a></code></p></div>
     </div>
 
     <div class="section level2">
     <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="fu">comma_signif</span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">0.1</span>, <span class="fl">1</span>, <span class="fl">10</span>, <span class="fl">1000</span><span class="op">)</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [1] "0.1"   "1"     "10"    "1,000"</span>
-<span class="r-in"><span><span class="fu">scales</span><span class="fu">::</span><span class="fu"><a href="https://scales.r-lib.org/reference/comma.html" class="external-link">comma</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">0.1</span>, <span class="fl">1</span>, <span class="fl">10</span>, <span class="fl">1000</span><span class="op">)</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [1] "0.1"     "1.0"     "10.0"    "1,000.0"</span>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="kw">if</span> <span class="op">(</span><span class="cn">FALSE</span><span class="op">)</span> <span class="op">{</span> <span class="co"># \dontrun{</span></span></span>
+<span class="r-in"><span> <span class="fu">comma_signif</span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">0.1</span>, <span class="fl">1</span>, <span class="fl">10</span>, <span class="fl">1000</span>, <span class="fl">10000</span><span class="op">)</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="op">}</span> <span class="co"># }</span></span></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -104,14 +88,14 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/dgompertz.html b/reference/dgompertz.html
index 08772a48..712c4471 100644
--- a/reference/dgompertz.html
+++ b/reference/dgompertz.html
@@ -1,55 +1,38 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Gompertz Probability Density
-"><title>Gompertz Probability Density  — dgompertz • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Gompertz Probability Density  — dgompertz"><meta property="og:description" content="Gompertz Probability Density
-"><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Gompertz Probability Density  — dgompertz • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Gompertz Probability Density  — dgompertz"><meta name="description" content="Gompertz Probability Density
+"><meta property="og:description" content="Gompertz Probability Density
+"><meta property="og:image" content="/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/ssdtools.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../articles/index.html">Articles</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/ssdtools.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Gompertz Probability Density <a href="https://lifecycle.r-lib.org/articles/stages.html#deprecated" class="external-link"><img src="figures/lifecycle-deprecated.svg" alt="[Deprecated]"></a></h1>
-      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/HEAD/R/gompertz.R" class="external-link"><code>R/gompertz.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/main/R/gompertz.R" class="external-link"><code>R/gompertz.R</code></a></small>
       <div class="d-none name"><code>dgompertz.Rd</code></div>
     </div>
 
@@ -65,30 +48,30 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>x</dt>
+
+
+<dl><dt id="arg-x">x<a class="anchor" aria-label="anchor" href="#arg-x"></a></dt>
 <dd><p>A numeric vector of values.</p></dd>
 
 
-<dt>llocation</dt>
+<dt id="arg-llocation">llocation<a class="anchor" aria-label="anchor" href="#arg-llocation"></a></dt>
 <dd><p>location parameter on the log scale.</p></dd>
 
 
-<dt>lshape</dt>
+<dt id="arg-lshape">lshape<a class="anchor" aria-label="anchor" href="#arg-lshape"></a></dt>
 <dd><p>shape parameter on the log scale.</p></dd>
 
 
-<dt>log</dt>
+<dt id="arg-log">log<a class="anchor" aria-label="anchor" href="#arg-log"></a></dt>
 <dd><p>logical; if TRUE, probabilities p are given as log(p).</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>A numeric vector.</p>
+    <p>A numeric vector.</p>
     </div>
 
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -97,14 +80,14 @@ <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/dist_data.html b/reference/dist_data.html
index 745df28f..9cbdcdb9 100644
--- a/reference/dist_data.html
+++ b/reference/dist_data.html
@@ -1,53 +1,36 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="A data frame of information on the implemented distributions."><title>Distribution Data — dist_data • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Distribution Data — dist_data"><meta property="og:description" content="A data frame of information on the implemented distributions."><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Distribution Data — dist_data • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Distribution Data — dist_data"><meta name="description" content="A data frame of information on the implemented distributions."><meta property="og:description" content="A data frame of information on the implemented distributions."><meta property="og:image" content="/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/ssdtools.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../articles/index.html">Articles</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/ssdtools.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Distribution Data</h1>
-      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/HEAD/R/data.R" class="external-link"><code>R/data.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/main/R/data.R" class="external-link"><code>R/data.R</code></a></small>
       <div class="d-none name"><code>dist_data.Rd</code></div>
     </div>
 
@@ -66,7 +49,7 @@ <h2 id="format">Format<a class="anchor" aria-label="anchor" href="#format"></a><
     </div>
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
-    
+
 <dl><dt>dist</dt>
 <dd><p>The distribution (chr).</p></dd>
 
@@ -86,42 +69,30 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
 </dl></div>
     <div class="section level2">
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
-    <div class="dont-index"><p>Other dists: 
+    <div class="dont-index"><p>Other dists:
 <code><a href="ssd_dists.html">ssd_dists</a>()</code>,
 <code><a href="ssd_dists_all.html">ssd_dists_all</a>()</code></p></div>
     </div>
 
     <div class="section level2">
     <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="va">dist</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> function (x, method = "euclidean", diag = FALSE, upper = FALSE, </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     p = 2) </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> {</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     if (!is.na(pmatch(method, "euclidian"))) </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>         method &lt;- "euclidean"</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     METHODS &lt;- c("euclidean", "maximum", "manhattan", "canberra", </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>         "binary", "minkowski")</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     method &lt;- pmatch(method, METHODS)</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     if (is.na(method)) </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>         stop("invalid distance method")</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     if (method == -1) </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>         stop("ambiguous distance method")</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     x &lt;- as.matrix(x)</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     N &lt;- nrow(x)</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     attrs &lt;- if (method == 6L) </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>         list(Size = N, Labels = dimnames(x)[[1L]], Diag = diag, </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>             Upper = upper, method = METHODS[method], p = p, call = match.call(), </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>             class = "dist")</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     else list(Size = N, Labels = dimnames(x)[[1L]], Diag = diag, </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>         Upper = upper, method = METHODS[method], call = match.call(), </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>         class = "dist")</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     .Call(C_Cdist, x, method, attrs, p)</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> }</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;bytecode: 0x56061a066728&gt;</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;environment: namespace:stats&gt;</span>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="va">dist_data</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 10 × 4</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>    dist          bcanz tails npars</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>         <span style="color: #949494; font-style: italic;">&lt;lgl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;lgl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;int&gt;</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> burrIII3      FALSE TRUE      3</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> gamma         TRUE  TRUE      2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> gompertz      FALSE TRUE      2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> invpareto     FALSE FALSE     2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> lgumbel       TRUE  TRUE      2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> llogis        TRUE  TRUE      2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> llogis_llogis FALSE TRUE      5</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> lnorm         TRUE  TRUE      2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> lnorm_lnorm   TRUE  TRUE      5</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> weibull       TRUE  TRUE      2</span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -130,14 +101,14 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/dlgumbel.html b/reference/dlgumbel.html
index 0eb005c4..96b426fd 100644
--- a/reference/dlgumbel.html
+++ b/reference/dlgumbel.html
@@ -1,55 +1,38 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Log-Gumbel (Inverse Weibull) Probability Density
-"><title>Log-Gumbel (Inverse Weibull) Probability Density  — dlgumbel • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Log-Gumbel (Inverse Weibull) Probability Density  — dlgumbel"><meta property="og:description" content="Log-Gumbel (Inverse Weibull) Probability Density
-"><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Log-Gumbel (Inverse Weibull) Probability Density  — dlgumbel • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Log-Gumbel (Inverse Weibull) Probability Density  — dlgumbel"><meta name="description" content="Log-Gumbel (Inverse Weibull) Probability Density
+"><meta property="og:description" content="Log-Gumbel (Inverse Weibull) Probability Density
+"><meta property="og:image" content="/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/ssdtools.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../articles/index.html">Articles</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/ssdtools.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Log-Gumbel (Inverse Weibull) Probability Density <a href="https://lifecycle.r-lib.org/articles/stages.html#deprecated" class="external-link"><img src="figures/lifecycle-deprecated.svg" alt="[Deprecated]"></a></h1>
-      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/HEAD/R/lgumbel.R" class="external-link"><code>R/lgumbel.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/main/R/lgumbel.R" class="external-link"><code>R/lgumbel.R</code></a></small>
       <div class="d-none name"><code>dlgumbel.Rd</code></div>
     </div>
 
@@ -65,30 +48,30 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>x</dt>
+
+
+<dl><dt id="arg-x">x<a class="anchor" aria-label="anchor" href="#arg-x"></a></dt>
 <dd><p>A numeric vector of values.</p></dd>
 
 
-<dt>locationlog</dt>
+<dt id="arg-locationlog">locationlog<a class="anchor" aria-label="anchor" href="#arg-locationlog"></a></dt>
 <dd><p>location on the log scale parameter.</p></dd>
 
 
-<dt>scalelog</dt>
+<dt id="arg-scalelog">scalelog<a class="anchor" aria-label="anchor" href="#arg-scalelog"></a></dt>
 <dd><p>scale on log scale parameter.</p></dd>
 
 
-<dt>log</dt>
+<dt id="arg-log">log<a class="anchor" aria-label="anchor" href="#arg-log"></a></dt>
 <dd><p>logical; if TRUE, probabilities p are given as log(p).</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>A numeric vector.</p>
+    <p>A numeric vector.</p>
     </div>
 
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -97,14 +80,14 @@ <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/estimates.fitdists.html b/reference/estimates.fitdists.html
index 558b46cb..6d73c31a 100644
--- a/reference/estimates.fitdists.html
+++ b/reference/estimates.fitdists.html
@@ -1,53 +1,36 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Gets a named list of the estimated weights and parameters."><title>Estimates for fitdists Object — estimates.fitdists • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Estimates for fitdists Object — estimates.fitdists"><meta property="og:description" content="Gets a named list of the estimated weights and parameters."><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Estimates for fitdists Object — estimates.fitdists • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Estimates for fitdists Object — estimates.fitdists"><meta name="description" content="Gets a named list of the estimated weights and parameters."><meta property="og:description" content="Gets a named list of the estimated weights and parameters."><meta property="og:image" content="/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/ssdtools.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../articles/index.html">Articles</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/ssdtools.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Estimates for fitdists Object</h1>
-      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/HEAD/R/estimates.R" class="external-link"><code>R/estimates.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/main/R/estimates.R" class="external-link"><code>R/estimates.R</code></a></small>
       <div class="d-none name"><code>estimates.fitdists.Rd</code></div>
     </div>
 
@@ -57,29 +40,29 @@
 
     <div class="section level2">
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="co"># S3 method for fitdists</span></span>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="co"># S3 method for class 'fitdists'</span></span>
 <span><span class="fu"><a href="https://poissonconsulting.github.io/universals/reference/estimates.html" class="external-link">estimates</a></span><span class="op">(</span><span class="va">x</span>, all_estimates <span class="op">=</span> <span class="cn">FALSE</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
     </div>
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>x</dt>
+
+
+<dl><dt id="arg-x">x<a class="anchor" aria-label="anchor" href="#arg-x"></a></dt>
 <dd><p>The object.</p></dd>
 
 
-<dt>all_estimates</dt>
+<dt id="arg-all-estimates">all_estimates<a class="anchor" aria-label="anchor" href="#arg-all-estimates"></a></dt>
 <dd><p>A flag specifying whether to calculate estimates for all implemented distributions.</p></dd>
 
 
-<dt>...</dt>
+<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
 <dd><p>Unused.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>A named list of the estimates.</p>
+    <p>A named list of the estimates.</p>
     </div>
     <div class="section level2">
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
@@ -121,28 +104,28 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> [1] 0.1772362</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> $lnorm.meanlog</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 2.561645</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 2.561646</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> $lnorm.sdlog</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 1.241539</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 1.241541</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> $lnorm_lnorm.weight</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> [1] 0.02962678</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> $lnorm_lnorm.meanlog1</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 0.9494874</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 0.9494834</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> $lnorm_lnorm.meanlog2</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 3.201082</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 3.201021</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> $lnorm_lnorm.pmix</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 0.2839941</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 0.2839679</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> $lnorm_lnorm.sdlog1</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 0.5545143</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 0.5544649</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> $lnorm_lnorm.sdlog2</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 0.7688237</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 0.7688617</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> $weibull.weight</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> [1] 0.3574716</span>
@@ -155,7 +138,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> </span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -164,14 +147,14 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/figures/README-unnamed-chunk-4-1.png b/reference/figures/README-unnamed-chunk-4-1.png
new file mode 100644
index 00000000..04c7c615
Binary files /dev/null and b/reference/figures/README-unnamed-chunk-4-1.png differ
diff --git a/reference/figures/README-unnamed-chunk-9-1.png b/reference/figures/README-unnamed-chunk-9-1.png
index f9f13635..654b47e3 100644
Binary files a/reference/figures/README-unnamed-chunk-9-1.png and b/reference/figures/README-unnamed-chunk-9-1.png differ
diff --git a/reference/figures/lifecycle-deprecated.svg b/reference/figures/lifecycle-deprecated.svg
index 4baaee01..b61c57c3 100644
--- a/reference/figures/lifecycle-deprecated.svg
+++ b/reference/figures/lifecycle-deprecated.svg
@@ -1 +1,21 @@
-<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="124" height="20"><linearGradient id="b" x2="0" y2="100%"><stop offset="0" stop-color="#bbb" stop-opacity=".1"/><stop offset="1" stop-opacity=".1"/></linearGradient><clipPath id="a"><rect width="124" height="20" rx="3" fill="#fff"/></clipPath><g clip-path="url(#a)"><path fill="#555" d="M0 0h53v20H0z"/><path fill="#fe7d37" d="M53 0h71v20H53z"/><path fill="url(#b)" d="M0 0h124v20H0z"/></g><g fill="#fff" text-anchor="middle" font-family="DejaVu Sans,Verdana,Geneva,sans-serif" font-size="110"><text x="275" y="150" fill="#010101" fill-opacity=".3" transform="scale(.1)" textLength="430">lifecycle</text><text x="275" y="140" transform="scale(.1)" textLength="430">lifecycle</text><text x="875" y="150" fill="#010101" fill-opacity=".3" transform="scale(.1)" textLength="610">deprecated</text><text x="875" y="140" transform="scale(.1)" textLength="610">deprecated</text></g> </svg>
\ No newline at end of file
+<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="126" height="20" role="img" aria-label="lifecycle: deprecated">
+    <title>lifecycle: deprecated</title>
+    <linearGradient id="s" x2="0" y2="100%">
+        <stop offset="0" stop-color="#bbb" stop-opacity=".1" />
+        <stop offset="1" stop-opacity=".1" />
+    </linearGradient>
+    <clipPath id="r">
+        <rect width="126" height="20" rx="3" fill="#fff" />
+    </clipPath>
+    <g clip-path="url(#r)">
+        <rect width="55" height="20" fill="#555" />
+        <rect x="55" width="71" height="20" fill="#fe7d37" />
+        <rect width="126" height="20" fill="url(#s)" />
+    </g>
+    <g fill="#fff" text-anchor="middle" font-family="Verdana,Geneva,DejaVu Sans,sans-serif" text-rendering="geometricPrecision" font-size="110">
+        <text aria-hidden="true" x="285" y="150" fill="#010101" fill-opacity=".3" transform="scale(.1)" textLength="450">lifecycle</text>
+        <text x="285" y="140" transform="scale(.1)" fill="#fff" textLength="450">lifecycle</text>
+        <text aria-hidden="true" x="895" y="150" fill="#010101" fill-opacity=".3" transform="scale(.1)" textLength="610">deprecated</text>
+        <text x="895" y="140" transform="scale(.1)" fill="#fff" textLength="610">deprecated</text>
+    </g>
+</svg>
diff --git a/reference/figures/lifecycle-experimental.svg b/reference/figures/lifecycle-experimental.svg
index d1d060e9..5d88fc2c 100644
--- a/reference/figures/lifecycle-experimental.svg
+++ b/reference/figures/lifecycle-experimental.svg
@@ -1 +1,21 @@
-<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="136" height="20"><linearGradient id="b" x2="0" y2="100%"><stop offset="0" stop-color="#bbb" stop-opacity=".1"/><stop offset="1" stop-opacity=".1"/></linearGradient><clipPath id="a"><rect width="136" height="20" rx="3" fill="#fff"/></clipPath><g clip-path="url(#a)"><path fill="#555" d="M0 0h53v20H0z"/><path fill="#fe7d37" d="M53 0h83v20H53z"/><path fill="url(#b)" d="M0 0h136v20H0z"/></g><g fill="#fff" text-anchor="middle" font-family="DejaVu Sans,Verdana,Geneva,sans-serif" font-size="110"><text x="275" y="150" fill="#010101" fill-opacity=".3" transform="scale(.1)" textLength="430">lifecycle</text><text x="275" y="140" transform="scale(.1)" textLength="430">lifecycle</text><text x="935" y="150" fill="#010101" fill-opacity=".3" transform="scale(.1)" textLength="730">experimental</text><text x="935" y="140" transform="scale(.1)" textLength="730">experimental</text></g> </svg>
\ No newline at end of file
+<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="138" height="20" role="img" aria-label="lifecycle: experimental">
+    <title>lifecycle: experimental</title>
+    <linearGradient id="s" x2="0" y2="100%">
+        <stop offset="0" stop-color="#bbb" stop-opacity=".1" />
+        <stop offset="1" stop-opacity=".1" />
+    </linearGradient>
+    <clipPath id="r">
+        <rect width="138" height="20" rx="3" fill="#fff" />
+    </clipPath>
+    <g clip-path="url(#r)">
+        <rect width="55" height="20" fill="#555" />
+        <rect x="55" width="83" height="20" fill="#fe7d37" />
+        <rect width="138" height="20" fill="url(#s)" />
+    </g>
+    <g fill="#fff" text-anchor="middle" font-family="Verdana,Geneva,DejaVu Sans,sans-serif" text-rendering="geometricPrecision" font-size="110">
+        <text aria-hidden="true" x="285" y="150" fill="#010101" fill-opacity=".3" transform="scale(.1)" textLength="450">lifecycle</text>
+        <text x="285" y="140" transform="scale(.1)" fill="#fff" textLength="450">lifecycle</text>
+        <text aria-hidden="true" x="955" y="150" fill="#010101" fill-opacity=".3" transform="scale(.1)" textLength="730">experimental</text>
+        <text x="955" y="140" transform="scale(.1)" fill="#fff" textLength="730">experimental</text>
+    </g>
+</svg>
diff --git a/reference/figures/lifecycle-stable.svg b/reference/figures/lifecycle-stable.svg
index e015dc81..9bf21e76 100644
--- a/reference/figures/lifecycle-stable.svg
+++ b/reference/figures/lifecycle-stable.svg
@@ -1 +1,29 @@
-<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="96" height="20"><linearGradient id="b" x2="0" y2="100%"><stop offset="0" stop-color="#bbb" stop-opacity=".1"/><stop offset="1" stop-opacity=".1"/></linearGradient><clipPath id="a"><rect width="96" height="20" rx="3" fill="#fff"/></clipPath><g clip-path="url(#a)"><path fill="#555" d="M0 0h53v20H0z"/><path fill="#4c1" d="M53 0h43v20H53z"/><path fill="url(#b)" d="M0 0h96v20H0z"/></g><g fill="#fff" text-anchor="middle" font-family="DejaVu Sans,Verdana,Geneva,sans-serif" font-size="110"><text x="275" y="150" fill="#010101" fill-opacity=".3" transform="scale(.1)" textLength="430">lifecycle</text><text x="275" y="140" transform="scale(.1)" textLength="430">lifecycle</text><text x="735" y="150" fill="#010101" fill-opacity=".3" transform="scale(.1)" textLength="330">stable</text><text x="735" y="140" transform="scale(.1)" textLength="330">stable</text></g> </svg>
\ No newline at end of file
+<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="98" height="20" role="img" aria-label="lifecycle: stable">
+    <title>lifecycle: stable</title>
+    <linearGradient id="s" x2="0" y2="100%">
+        <stop offset="0" stop-color="#bbb" stop-opacity=".1" />
+        <stop offset="1" stop-opacity=".1" />
+    </linearGradient>
+    <clipPath id="r">
+        <rect width="98" height="20" rx="3" fill="#fff" />
+    </clipPath>
+    <g clip-path="url(#r)">
+        <rect width="55" height="20" fill="#555" />
+        <rect x="55" width="43" height="20" fill="#4c1" />
+        <rect width="98" height="20" fill="url(#s)" />
+    </g>
+    <g fill="#fff" text-anchor="middle" font-family="Verdana,Geneva,DejaVu Sans,sans-serif" text-rendering="geometricPrecision" font-size="110">
+        <text aria-hidden="true" x="285" y="150" fill="#010101" fill-opacity=".3" transform="scale(.1)" textLength="450">
+      lifecycle
+    </text>
+        <text x="285" y="140" transform="scale(.1)" fill="#fff" textLength="450">
+      lifecycle
+    </text>
+        <text aria-hidden="true" x="755" y="150" fill="#010101" fill-opacity=".3" transform="scale(.1)" textLength="330">
+      stable
+    </text>
+        <text x="755" y="140" transform="scale(.1)" fill="#fff" textLength="330">
+      stable
+    </text>
+    </g>
+</svg>
diff --git a/reference/figures/lifecycle-superseded.svg b/reference/figures/lifecycle-superseded.svg
index 75f24f55..db8d757f 100644
--- a/reference/figures/lifecycle-superseded.svg
+++ b/reference/figures/lifecycle-superseded.svg
@@ -1 +1,21 @@
-<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="128" height="20"><linearGradient id="b" x2="0" y2="100%"><stop offset="0" stop-color="#bbb" stop-opacity=".1"/><stop offset="1" stop-opacity=".1"/></linearGradient><clipPath id="a"><rect width="128" height="20" rx="3" fill="#fff"/></clipPath><g clip-path="url(#a)"><path fill="#555" d="M0 0h55v20H0z"/><path fill="#007ec6" d="M55 0h73v20H55z"/><path fill="url(#b)" d="M0 0h128v20H0z"/></g><g fill="#fff" text-anchor="middle" font-family="DejaVu Sans,Verdana,Geneva,sans-serif" font-size="110"> <text x="285" y="150" fill="#010101" fill-opacity=".3" transform="scale(.1)" textLength="450">lifecycle</text><text x="285" y="140" transform="scale(.1)" textLength="450">lifecycle</text><text x="905" y="150" fill="#010101" fill-opacity=".3" transform="scale(.1)" textLength="630">superseded</text><text x="905" y="140" transform="scale(.1)" textLength="630">superseded</text></g> </svg>
\ No newline at end of file
+<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="128" height="20" role="img" aria-label="lifecycle: superseded">
+    <title>lifecycle: superseded</title>
+    <linearGradient id="s" x2="0" y2="100%">
+        <stop offset="0" stop-color="#bbb" stop-opacity=".1" />
+        <stop offset="1" stop-opacity=".1" />
+    </linearGradient>
+    <clipPath id="r">
+        <rect width="128" height="20" rx="3" fill="#fff" />
+    </clipPath>
+    <g clip-path="url(#r)">
+        <rect width="55" height="20" fill="#555" />
+        <rect x="55" width="73" height="20" fill="#007ec6" />
+        <rect width="128" height="20" fill="url(#s)" />
+    </g>
+    <g fill="#fff" text-anchor="middle" font-family="Verdana,Geneva,DejaVu Sans,sans-serif" text-rendering="geometricPrecision" font-size="110">
+        <text aria-hidden="true" x="285" y="150" fill="#010101" fill-opacity=".3" transform="scale(.1)" textLength="450">lifecycle</text>
+        <text x="285" y="140" transform="scale(.1)" fill="#fff" textLength="450">lifecycle</text>
+        <text aria-hidden="true" x="905" y="150" fill="#010101" fill-opacity=".3" transform="scale(.1)" textLength="630">superseded</text>
+        <text x="905" y="140" transform="scale(.1)" fill="#fff" textLength="630">superseded</text>
+    </g>
+</svg>
diff --git a/reference/geom_hcintersect-1.png b/reference/geom_hcintersect-1.png
index a823583b..cf8a44e1 100644
Binary files a/reference/geom_hcintersect-1.png and b/reference/geom_hcintersect-1.png differ
diff --git a/reference/geom_hcintersect.html b/reference/geom_hcintersect.html
index 34adf6db..61b1979b 100644
--- a/reference/geom_hcintersect.html
+++ b/reference/geom_hcintersect.html
@@ -1,53 +1,36 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Plots the intersection between each xintercept and yintercept value."><title>Species Sensitivity Hazard Concentration Intersection — geom_hcintersect • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Species Sensitivity Hazard Concentration Intersection — geom_hcintersect"><meta property="og:description" content="Plots the intersection between each xintercept and yintercept value."><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Species Sensitivity Hazard Concentration Intersection — geom_hcintersect • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Species Sensitivity Hazard Concentration Intersection — geom_hcintersect"><meta name="description" content="Plots the intersection between each xintercept and yintercept value."><meta property="og:description" content="Plots the intersection between each xintercept and yintercept value."><meta property="og:image" content="/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/ssdtools.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../articles/index.html">Articles</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/ssdtools.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Species Sensitivity Hazard Concentration Intersection</h1>
-      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/HEAD/R/ggplot.R" class="external-link"><code>R/ggplot.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/main/R/ggplot.R" class="external-link"><code>R/ggplot.R</code></a></small>
       <div class="d-none name"><code>geom_hcintersect.Rd</code></div>
     </div>
 
@@ -70,14 +53,16 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>mapping</dt>
+
+
+<dl><dt id="arg-mapping">mapping<a class="anchor" aria-label="anchor" href="#arg-mapping"></a></dt>
 <dd><p>Set of aesthetic mappings created by <code><a href="https://ggplot2.tidyverse.org/reference/aes.html" class="external-link">aes()</a></code>. If specified and
 <code>inherit.aes = TRUE</code> (the default), it is combined with the default mapping
 at the top level of the plot. You must supply <code>mapping</code> if there is no plot
 mapping.</p></dd>
 
 
-<dt>data</dt>
+<dt id="arg-data">data<a class="anchor" aria-label="anchor" href="#arg-data"></a></dt>
 <dd><p>The data to be displayed in this layer. There are three
 options:</p>
 <p>If <code>NULL</code>, the default, the data is inherited from the plot
@@ -91,7 +76,7 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 from a <code>formula</code> (e.g. <code>~ head(.x, 10)</code>).</p></dd>
 
 
-<dt>...</dt>
+<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
 <dd><p>Other arguments passed on to <code><a href="https://ggplot2.tidyverse.org/reference/layer.html" class="external-link">layer()</a></code>'s <code>params</code> argument. These
 arguments broadly fall into one of 4 categories below. Notably, further
 arguments to the <code>position</code> argument, or aesthetics that are required
@@ -119,20 +104,20 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </ul></dd>
 
 
-<dt>xintercept</dt>
+<dt id="arg-xintercept">xintercept<a class="anchor" aria-label="anchor" href="#arg-xintercept"></a></dt>
 <dd><p>The x-value for the intersect</p></dd>
 
 
-<dt>yintercept</dt>
+<dt id="arg-yintercept">yintercept<a class="anchor" aria-label="anchor" href="#arg-yintercept"></a></dt>
 <dd><p>The y-value for the intersect.</p></dd>
 
 
-<dt>na.rm</dt>
+<dt id="arg-na-rm">na.rm<a class="anchor" aria-label="anchor" href="#arg-na-rm"></a></dt>
 <dd><p>If <code>FALSE</code>, the default, missing values are removed with
 a warning. If <code>TRUE</code>, missing values are silently removed.</p></dd>
 
 
-<dt>show.legend</dt>
+<dt id="arg-show-legend">show.legend<a class="anchor" aria-label="anchor" href="#arg-show-legend"></a></dt>
 <dd><p>logical. Should this layer be included in the legends?
 <code>NA</code>, the default, includes if any aesthetics are mapped.
 <code>FALSE</code> never includes, and <code>TRUE</code> always includes.
@@ -143,7 +128,7 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
     <div class="section level2">
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
     <div class="dont-index"><p><code><a href="ssd_plot_cdf.html">ssd_plot_cdf()</a></code></p>
-<p>Other ggplot: 
+<p>Other ggplot:
 <code><a href="geom_ssdpoint.html">geom_ssdpoint</a>()</code>,
 <code><a href="geom_ssdsegment.html">geom_ssdsegment</a>()</code>,
 <code><a href="geom_xribbon.html">geom_xribbon</a>()</code>,
@@ -159,7 +144,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-plt img"><img src="geom_hcintersect-1.png" alt="" width="700" height="433"></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -168,14 +153,14 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/geom_ssd.html b/reference/geom_ssd.html
index 737d017f..009288c4 100644
--- a/reference/geom_ssd.html
+++ b/reference/geom_ssd.html
@@ -1,53 +1,36 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="geom_ssd() has been deprecated for geom_ssdpoint()."><title>Species Sensitivity Data Points  — geom_ssd • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Species Sensitivity Data Points  — geom_ssd"><meta property="og:description" content="geom_ssd() has been deprecated for geom_ssdpoint()."><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Species Sensitivity Data Points  — geom_ssd • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Species Sensitivity Data Points  — geom_ssd"><meta name="description" content="geom_ssd() has been deprecated for geom_ssdpoint()."><meta property="og:description" content="geom_ssd() has been deprecated for geom_ssdpoint()."><meta property="og:image" content="/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/ssdtools.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../articles/index.html">Articles</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/ssdtools.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Species Sensitivity Data Points <a href="https://lifecycle.r-lib.org/articles/stages.html#deprecated" class="external-link"><img src="figures/lifecycle-deprecated.svg" alt="[Deprecated]"></a></h1>
-      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/HEAD/R/ggplot.R" class="external-link"><code>R/ggplot.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/main/R/ggplot.R" class="external-link"><code>R/ggplot.R</code></a></small>
       <div class="d-none name"><code>geom_ssd.Rd</code></div>
     </div>
 
@@ -71,14 +54,16 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>mapping</dt>
+
+
+<dl><dt id="arg-mapping">mapping<a class="anchor" aria-label="anchor" href="#arg-mapping"></a></dt>
 <dd><p>Set of aesthetic mappings created by <code><a href="https://ggplot2.tidyverse.org/reference/aes.html" class="external-link">aes()</a></code>. If specified and
 <code>inherit.aes = TRUE</code> (the default), it is combined with the default mapping
 at the top level of the plot. You must supply <code>mapping</code> if there is no plot
 mapping.</p></dd>
 
 
-<dt>data</dt>
+<dt id="arg-data">data<a class="anchor" aria-label="anchor" href="#arg-data"></a></dt>
 <dd><p>The data to be displayed in this layer. There are three
 options:</p>
 <p>If <code>NULL</code>, the default, the data is inherited from the plot
@@ -92,7 +77,7 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 from a <code>formula</code> (e.g. <code>~ head(.x, 10)</code>).</p></dd>
 
 
-<dt>stat</dt>
+<dt id="arg-stat">stat<a class="anchor" aria-label="anchor" href="#arg-stat"></a></dt>
 <dd><p>The statistical transformation to use on the data for this layer.
 When using a <code>geom_*()</code> function to construct a layer, the <code>stat</code>
 argument can be used the override the default coupling between geoms and
@@ -105,7 +90,7 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </ul></dd>
 
 
-<dt>position</dt>
+<dt id="arg-position">position<a class="anchor" aria-label="anchor" href="#arg-position"></a></dt>
 <dd><p>A position adjustment to use on the data for this layer. This
 can be used in various ways, including to prevent overplotting and
 improving the display. The <code>position</code> argument accepts the following:</p><ul><li><p>The result of calling a position function, such as <code><a href="https://ggplot2.tidyverse.org/reference/position_jitter.html" class="external-link">position_jitter()</a></code>.
@@ -118,7 +103,7 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </ul></dd>
 
 
-<dt>...</dt>
+<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
 <dd><p>Other arguments passed on to <code><a href="https://ggplot2.tidyverse.org/reference/layer.html" class="external-link">layer()</a></code>'s <code>params</code> argument. These
 arguments broadly fall into one of 4 categories below. Notably, further
 arguments to the <code>position</code> argument, or aesthetics that are required
@@ -146,12 +131,12 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </ul></dd>
 
 
-<dt>na.rm</dt>
+<dt id="arg-na-rm">na.rm<a class="anchor" aria-label="anchor" href="#arg-na-rm"></a></dt>
 <dd><p>If <code>FALSE</code>, the default, missing values are removed with
 a warning. If <code>TRUE</code>, missing values are silently removed.</p></dd>
 
 
-<dt>show.legend</dt>
+<dt id="arg-show-legend">show.legend<a class="anchor" aria-label="anchor" href="#arg-show-legend"></a></dt>
 <dd><p>logical. Should this layer be included in the legends?
 <code>NA</code>, the default, includes if any aesthetics are mapped.
 <code>FALSE</code> never includes, and <code>TRUE</code> always includes.
@@ -159,7 +144,7 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 display.</p></dd>
 
 
-<dt>inherit.aes</dt>
+<dt id="arg-inherit-aes">inherit.aes<a class="anchor" aria-label="anchor" href="#arg-inherit-aes"></a></dt>
 <dd><p>If <code>FALSE</code>, overrides the default aesthetics,
 rather than combining with them. This is most useful for helper functions
 that define both data and aesthetics and shouldn't inherit behaviour from
@@ -169,13 +154,13 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 
     <div class="section level2">
     <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="kw">if</span> <span class="op">(</span><span class="cn">FALSE</span><span class="op">)</span> <span class="op">{</span></span></span>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="kw">if</span> <span class="op">(</span><span class="cn">FALSE</span><span class="op">)</span> <span class="op">{</span> <span class="co"># \dontrun{</span></span></span>
 <span class="r-in"><span><span class="fu">ggplot2</span><span class="fu">::</span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/ggplot.html" class="external-link">ggplot</a></span><span class="op">(</span><span class="fu">ssddata</span><span class="fu">::</span><span class="va"><a href="https://rdrr.io/pkg/ssddata/man/ccme_boron.html" class="external-link">ccme_boron</a></span>, <span class="fu">ggplot2</span><span class="fu">::</span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/aes.html" class="external-link">aes</a></span><span class="op">(</span>x <span class="op">=</span> <span class="va">Conc</span><span class="op">)</span><span class="op">)</span> <span class="op">+</span></span></span>
 <span class="r-in"><span>  <span class="fu">geom_ssd</span><span class="op">(</span><span class="op">)</span></span></span>
-<span class="r-in"><span><span class="op">}</span></span></span>
+<span class="r-in"><span><span class="op">}</span> <span class="co"># }</span></span></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -184,14 +169,14 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/geom_ssdpoint-1.png b/reference/geom_ssdpoint-1.png
index 6d2335a8..54d3d6b8 100644
Binary files a/reference/geom_ssdpoint-1.png and b/reference/geom_ssdpoint-1.png differ
diff --git a/reference/geom_ssdpoint.html b/reference/geom_ssdpoint.html
index 5d824c6e..772e7034 100644
--- a/reference/geom_ssdpoint.html
+++ b/reference/geom_ssdpoint.html
@@ -1,53 +1,36 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Uses the empirical cumulative distribution to create scatterplot of points x."><title>Species Sensitivity Data Points — geom_ssdpoint • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Species Sensitivity Data Points — geom_ssdpoint"><meta property="og:description" content="Uses the empirical cumulative distribution to create scatterplot of points x."><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Species Sensitivity Data Points — geom_ssdpoint • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Species Sensitivity Data Points — geom_ssdpoint"><meta name="description" content="Uses the empirical cumulative distribution to create scatterplot of points x."><meta property="og:description" content="Uses the empirical cumulative distribution to create scatterplot of points x."><meta property="og:image" content="/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/ssdtools.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../articles/index.html">Articles</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/ssdtools.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Species Sensitivity Data Points</h1>
-      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/HEAD/R/ggplot.R" class="external-link"><code>R/ggplot.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/main/R/ggplot.R" class="external-link"><code>R/ggplot.R</code></a></small>
       <div class="d-none name"><code>geom_ssdpoint.Rd</code></div>
     </div>
 
@@ -71,14 +54,16 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>mapping</dt>
+
+
+<dl><dt id="arg-mapping">mapping<a class="anchor" aria-label="anchor" href="#arg-mapping"></a></dt>
 <dd><p>Set of aesthetic mappings created by <code><a href="https://ggplot2.tidyverse.org/reference/aes.html" class="external-link">aes()</a></code>. If specified and
 <code>inherit.aes = TRUE</code> (the default), it is combined with the default mapping
 at the top level of the plot. You must supply <code>mapping</code> if there is no plot
 mapping.</p></dd>
 
 
-<dt>data</dt>
+<dt id="arg-data">data<a class="anchor" aria-label="anchor" href="#arg-data"></a></dt>
 <dd><p>The data to be displayed in this layer. There are three
 options:</p>
 <p>If <code>NULL</code>, the default, the data is inherited from the plot
@@ -92,7 +77,7 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 from a <code>formula</code> (e.g. <code>~ head(.x, 10)</code>).</p></dd>
 
 
-<dt>stat</dt>
+<dt id="arg-stat">stat<a class="anchor" aria-label="anchor" href="#arg-stat"></a></dt>
 <dd><p>The statistical transformation to use on the data for this layer.
 When using a <code>geom_*()</code> function to construct a layer, the <code>stat</code>
 argument can be used the override the default coupling between geoms and
@@ -105,7 +90,7 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </ul></dd>
 
 
-<dt>position</dt>
+<dt id="arg-position">position<a class="anchor" aria-label="anchor" href="#arg-position"></a></dt>
 <dd><p>A position adjustment to use on the data for this layer. This
 can be used in various ways, including to prevent overplotting and
 improving the display. The <code>position</code> argument accepts the following:</p><ul><li><p>The result of calling a position function, such as <code><a href="https://ggplot2.tidyverse.org/reference/position_jitter.html" class="external-link">position_jitter()</a></code>.
@@ -118,7 +103,7 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </ul></dd>
 
 
-<dt>...</dt>
+<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
 <dd><p>Other arguments passed on to <code><a href="https://ggplot2.tidyverse.org/reference/layer.html" class="external-link">layer()</a></code>'s <code>params</code> argument. These
 arguments broadly fall into one of 4 categories below. Notably, further
 arguments to the <code>position</code> argument, or aesthetics that are required
@@ -146,12 +131,12 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </ul></dd>
 
 
-<dt>na.rm</dt>
+<dt id="arg-na-rm">na.rm<a class="anchor" aria-label="anchor" href="#arg-na-rm"></a></dt>
 <dd><p>If <code>FALSE</code>, the default, missing values are removed with
 a warning. If <code>TRUE</code>, missing values are silently removed.</p></dd>
 
 
-<dt>show.legend</dt>
+<dt id="arg-show-legend">show.legend<a class="anchor" aria-label="anchor" href="#arg-show-legend"></a></dt>
 <dd><p>logical. Should this layer be included in the legends?
 <code>NA</code>, the default, includes if any aesthetics are mapped.
 <code>FALSE</code> never includes, and <code>TRUE</code> always includes.
@@ -159,7 +144,7 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 display.</p></dd>
 
 
-<dt>inherit.aes</dt>
+<dt id="arg-inherit-aes">inherit.aes<a class="anchor" aria-label="anchor" href="#arg-inherit-aes"></a></dt>
 <dd><p>If <code>FALSE</code>, overrides the default aesthetics,
 rather than combining with them. This is most useful for helper functions
 that define both data and aesthetics and shouldn't inherit behaviour from
@@ -169,7 +154,7 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
     <div class="section level2">
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
     <div class="dont-index"><p><code><a href="ssd_plot_cdf.html">ssd_plot_cdf()</a></code></p>
-<p>Other ggplot: 
+<p>Other ggplot:
 <code><a href="geom_hcintersect.html">geom_hcintersect</a>()</code>,
 <code><a href="geom_ssdsegment.html">geom_ssdsegment</a>()</code>,
 <code><a href="geom_xribbon.html">geom_xribbon</a>()</code>,
@@ -184,7 +169,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-plt img"><img src="geom_ssdpoint-1.png" alt="" width="700" height="433"></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -193,14 +178,14 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/geom_ssdsegment-1.png b/reference/geom_ssdsegment-1.png
index bd85a6c4..a6d96d48 100644
Binary files a/reference/geom_ssdsegment-1.png and b/reference/geom_ssdsegment-1.png differ
diff --git a/reference/geom_ssdsegment.html b/reference/geom_ssdsegment.html
index 5adc2b03..b402a88d 100644
--- a/reference/geom_ssdsegment.html
+++ b/reference/geom_ssdsegment.html
@@ -1,53 +1,36 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Uses the empirical cumulative distribution to draw lines between points x and xend."><title>Species Sensitivity Censored Segments — geom_ssdsegment • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Species Sensitivity Censored Segments — geom_ssdsegment"><meta property="og:description" content="Uses the empirical cumulative distribution to draw lines between points x and xend."><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Species Sensitivity Censored Segments — geom_ssdsegment • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Species Sensitivity Censored Segments — geom_ssdsegment"><meta name="description" content="Uses the empirical cumulative distribution to draw lines between points x and xend."><meta property="og:description" content="Uses the empirical cumulative distribution to draw lines between points x and xend."><meta property="og:image" content="/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/ssdtools.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../articles/index.html">Articles</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/ssdtools.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Species Sensitivity Censored Segments</h1>
-      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/HEAD/R/ggplot.R" class="external-link"><code>R/ggplot.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/main/R/ggplot.R" class="external-link"><code>R/ggplot.R</code></a></small>
       <div class="d-none name"><code>geom_ssdsegment.Rd</code></div>
     </div>
 
@@ -75,14 +58,16 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>mapping</dt>
+
+
+<dl><dt id="arg-mapping">mapping<a class="anchor" aria-label="anchor" href="#arg-mapping"></a></dt>
 <dd><p>Set of aesthetic mappings created by <code><a href="https://ggplot2.tidyverse.org/reference/aes.html" class="external-link">aes()</a></code>. If specified and
 <code>inherit.aes = TRUE</code> (the default), it is combined with the default mapping
 at the top level of the plot. You must supply <code>mapping</code> if there is no plot
 mapping.</p></dd>
 
 
-<dt>data</dt>
+<dt id="arg-data">data<a class="anchor" aria-label="anchor" href="#arg-data"></a></dt>
 <dd><p>The data to be displayed in this layer. There are three
 options:</p>
 <p>If <code>NULL</code>, the default, the data is inherited from the plot
@@ -96,7 +81,7 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 from a <code>formula</code> (e.g. <code>~ head(.x, 10)</code>).</p></dd>
 
 
-<dt>stat</dt>
+<dt id="arg-stat">stat<a class="anchor" aria-label="anchor" href="#arg-stat"></a></dt>
 <dd><p>The statistical transformation to use on the data for this layer.
 When using a <code>geom_*()</code> function to construct a layer, the <code>stat</code>
 argument can be used the override the default coupling between geoms and
@@ -109,7 +94,7 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </ul></dd>
 
 
-<dt>position</dt>
+<dt id="arg-position">position<a class="anchor" aria-label="anchor" href="#arg-position"></a></dt>
 <dd><p>A position adjustment to use on the data for this layer. This
 can be used in various ways, including to prevent overplotting and
 improving the display. The <code>position</code> argument accepts the following:</p><ul><li><p>The result of calling a position function, such as <code><a href="https://ggplot2.tidyverse.org/reference/position_jitter.html" class="external-link">position_jitter()</a></code>.
@@ -122,7 +107,7 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </ul></dd>
 
 
-<dt>...</dt>
+<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
 <dd><p>Other arguments passed on to <code><a href="https://ggplot2.tidyverse.org/reference/layer.html" class="external-link">layer()</a></code>'s <code>params</code> argument. These
 arguments broadly fall into one of 4 categories below. Notably, further
 arguments to the <code>position</code> argument, or aesthetics that are required
@@ -150,29 +135,29 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </ul></dd>
 
 
-<dt>arrow</dt>
+<dt id="arg-arrow">arrow<a class="anchor" aria-label="anchor" href="#arg-arrow"></a></dt>
 <dd><p>specification for arrow heads, as created by <code><a href="https://rdrr.io/r/grid/arrow.html" class="external-link">grid::arrow()</a></code>.</p></dd>
 
 
-<dt>arrow.fill</dt>
+<dt id="arg-arrow-fill">arrow.fill<a class="anchor" aria-label="anchor" href="#arg-arrow-fill"></a></dt>
 <dd><p>fill colour to use for the arrow head (if closed). <code>NULL</code>
 means use <code>colour</code> aesthetic.</p></dd>
 
 
-<dt>lineend</dt>
+<dt id="arg-lineend">lineend<a class="anchor" aria-label="anchor" href="#arg-lineend"></a></dt>
 <dd><p>Line end style (round, butt, square).</p></dd>
 
 
-<dt>linejoin</dt>
+<dt id="arg-linejoin">linejoin<a class="anchor" aria-label="anchor" href="#arg-linejoin"></a></dt>
 <dd><p>Line join style (round, mitre, bevel).</p></dd>
 
 
-<dt>na.rm</dt>
+<dt id="arg-na-rm">na.rm<a class="anchor" aria-label="anchor" href="#arg-na-rm"></a></dt>
 <dd><p>If <code>FALSE</code>, the default, missing values are removed with
 a warning. If <code>TRUE</code>, missing values are silently removed.</p></dd>
 
 
-<dt>show.legend</dt>
+<dt id="arg-show-legend">show.legend<a class="anchor" aria-label="anchor" href="#arg-show-legend"></a></dt>
 <dd><p>logical. Should this layer be included in the legends?
 <code>NA</code>, the default, includes if any aesthetics are mapped.
 <code>FALSE</code> never includes, and <code>TRUE</code> always includes.
@@ -180,7 +165,7 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 display.</p></dd>
 
 
-<dt>inherit.aes</dt>
+<dt id="arg-inherit-aes">inherit.aes<a class="anchor" aria-label="anchor" href="#arg-inherit-aes"></a></dt>
 <dd><p>If <code>FALSE</code>, overrides the default aesthetics,
 rather than combining with them. This is most useful for helper functions
 that define both data and aesthetics and shouldn't inherit behaviour from
@@ -190,7 +175,7 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
     <div class="section level2">
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
     <div class="dont-index"><p><code><a href="ssd_plot_cdf.html">ssd_plot_cdf()</a></code></p>
-<p>Other ggplot: 
+<p>Other ggplot:
 <code><a href="geom_hcintersect.html">geom_hcintersect</a>()</code>,
 <code><a href="geom_ssdpoint.html">geom_ssdpoint</a>()</code>,
 <code><a href="geom_xribbon.html">geom_xribbon</a>()</code>,
@@ -205,7 +190,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-plt img"><img src="geom_ssdsegment-1.png" alt="" width="700" height="433"></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -214,14 +199,14 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/geom_xribbon.html b/reference/geom_xribbon.html
index ecbdab45..eb22ed8c 100644
--- a/reference/geom_xribbon.html
+++ b/reference/geom_xribbon.html
@@ -1,53 +1,36 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Plots the x interval defined by xmin and xmax."><title>Ribbon on X-Axis — geom_xribbon • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Ribbon on X-Axis — geom_xribbon"><meta property="og:description" content="Plots the x interval defined by xmin and xmax."><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Ribbon on X-Axis — geom_xribbon • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Ribbon on X-Axis — geom_xribbon"><meta name="description" content="Plots the x interval defined by xmin and xmax."><meta property="og:description" content="Plots the x interval defined by xmin and xmax."><meta property="og:image" content="/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/ssdtools.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../articles/index.html">Articles</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/ssdtools.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Ribbon on X-Axis</h1>
-      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/HEAD/R/ggplot.R" class="external-link"><code>R/ggplot.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/main/R/ggplot.R" class="external-link"><code>R/ggplot.R</code></a></small>
       <div class="d-none name"><code>geom_xribbon.Rd</code></div>
     </div>
 
@@ -71,14 +54,16 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>mapping</dt>
+
+
+<dl><dt id="arg-mapping">mapping<a class="anchor" aria-label="anchor" href="#arg-mapping"></a></dt>
 <dd><p>Set of aesthetic mappings created by <code><a href="https://ggplot2.tidyverse.org/reference/aes.html" class="external-link">aes()</a></code>. If specified and
 <code>inherit.aes = TRUE</code> (the default), it is combined with the default mapping
 at the top level of the plot. You must supply <code>mapping</code> if there is no plot
 mapping.</p></dd>
 
 
-<dt>data</dt>
+<dt id="arg-data">data<a class="anchor" aria-label="anchor" href="#arg-data"></a></dt>
 <dd><p>The data to be displayed in this layer. There are three
 options:</p>
 <p>If <code>NULL</code>, the default, the data is inherited from the plot
@@ -92,7 +77,7 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 from a <code>formula</code> (e.g. <code>~ head(.x, 10)</code>).</p></dd>
 
 
-<dt>stat</dt>
+<dt id="arg-stat">stat<a class="anchor" aria-label="anchor" href="#arg-stat"></a></dt>
 <dd><p>The statistical transformation to use on the data for this layer.
 When using a <code>geom_*()</code> function to construct a layer, the <code>stat</code>
 argument can be used the override the default coupling between geoms and
@@ -105,7 +90,7 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </ul></dd>
 
 
-<dt>position</dt>
+<dt id="arg-position">position<a class="anchor" aria-label="anchor" href="#arg-position"></a></dt>
 <dd><p>A position adjustment to use on the data for this layer. This
 can be used in various ways, including to prevent overplotting and
 improving the display. The <code>position</code> argument accepts the following:</p><ul><li><p>The result of calling a position function, such as <code><a href="https://ggplot2.tidyverse.org/reference/position_jitter.html" class="external-link">position_jitter()</a></code>.
@@ -118,7 +103,7 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </ul></dd>
 
 
-<dt>...</dt>
+<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
 <dd><p>Other arguments passed on to <code><a href="https://ggplot2.tidyverse.org/reference/layer.html" class="external-link">layer()</a></code>'s <code>params</code> argument. These
 arguments broadly fall into one of 4 categories below. Notably, further
 arguments to the <code>position</code> argument, or aesthetics that are required
@@ -146,12 +131,12 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </ul></dd>
 
 
-<dt>na.rm</dt>
+<dt id="arg-na-rm">na.rm<a class="anchor" aria-label="anchor" href="#arg-na-rm"></a></dt>
 <dd><p>If <code>FALSE</code>, the default, missing values are removed with
 a warning. If <code>TRUE</code>, missing values are silently removed.</p></dd>
 
 
-<dt>show.legend</dt>
+<dt id="arg-show-legend">show.legend<a class="anchor" aria-label="anchor" href="#arg-show-legend"></a></dt>
 <dd><p>logical. Should this layer be included in the legends?
 <code>NA</code>, the default, includes if any aesthetics are mapped.
 <code>FALSE</code> never includes, and <code>TRUE</code> always includes.
@@ -159,7 +144,7 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 display.</p></dd>
 
 
-<dt>inherit.aes</dt>
+<dt id="arg-inherit-aes">inherit.aes<a class="anchor" aria-label="anchor" href="#arg-inherit-aes"></a></dt>
 <dd><p>If <code>FALSE</code>, overrides the default aesthetics,
 rather than combining with them. This is most useful for helper functions
 that define both data and aesthetics and shouldn't inherit behaviour from
@@ -169,7 +154,7 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
     <div class="section level2">
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
     <div class="dont-index"><p><code><a href="ssd_plot_cdf.html">ssd_plot_cdf()</a></code></p>
-<p>Other ggplot: 
+<p>Other ggplot:
 <code><a href="geom_hcintersect.html">geom_hcintersect</a>()</code>,
 <code><a href="geom_ssdpoint.html">geom_ssdpoint</a>()</code>,
 <code><a href="geom_ssdsegment.html">geom_ssdsegment</a>()</code>,
@@ -183,7 +168,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-in"><span>  <span class="fu">geom_xribbon</span><span class="op">(</span><span class="fu">ggplot2</span><span class="fu">::</span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/aes.html" class="external-link">aes</a></span><span class="op">(</span>xmin <span class="op">=</span> <span class="va">lcl</span>, xmax <span class="op">=</span> <span class="va">ucl</span>, y <span class="op">=</span> <span class="va">proportion</span><span class="op">)</span><span class="op">)</span></span></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -192,14 +177,14 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/glance.fitdists.html b/reference/glance.fitdists.html
index 217aa2fd..0125092f 100644
--- a/reference/glance.fitdists.html
+++ b/reference/glance.fitdists.html
@@ -1,53 +1,36 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Gets a tibble with a single row for each distribution."><title>Get a tibble summarizing each distribution — glance.fitdists • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get a tibble summarizing each distribution — glance.fitdists"><meta property="og:description" content="Gets a tibble with a single row for each distribution."><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Get a tibble summarizing each distribution — glance.fitdists • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get a tibble summarizing each distribution — glance.fitdists"><meta name="description" content="Gets a tibble with a single row for each distribution."><meta property="og:description" content="Gets a tibble with a single row for each distribution."><meta property="og:image" content="/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/ssdtools.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../articles/index.html">Articles</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/ssdtools.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Get a tibble summarizing each distribution</h1>
-      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/HEAD/R/glance.R" class="external-link"><code>R/glance.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/main/R/glance.R" class="external-link"><code>R/glance.R</code></a></small>
       <div class="d-none name"><code>glance.fitdists.Rd</code></div>
     </div>
 
@@ -57,30 +40,30 @@
 
     <div class="section level2">
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="co"># S3 method for fitdists</span></span>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="co"># S3 method for class 'fitdists'</span></span>
 <span><span class="fu"><a href="https://generics.r-lib.org/reference/glance.html" class="external-link">glance</a></span><span class="op">(</span><span class="va">x</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
     </div>
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>x</dt>
+
+
+<dl><dt id="arg-x">x<a class="anchor" aria-label="anchor" href="#arg-x"></a></dt>
 <dd><p>The object.</p></dd>
 
 
-<dt>...</dt>
+<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
 <dd><p>Unused.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>A tidy tibble of the distributions.</p>
+    <p>A tidy tibble of the distributions.</p>
     </div>
     <div class="section level2">
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
     <div class="dont-index"><p><code><a href="ssd_gof.html">ssd_gof()</a></code></p>
-<p>Other generics: 
+<p>Other generics:
 <code><a href="augment.fitdists.html">augment.fitdists</a>()</code>,
 <code><a href="tidy.fitdists.html">tidy.fitdists</a>()</code></p></div>
     </div>
@@ -100,7 +83,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">6</span> weibull         2    28   -<span style="color: #BB0000;">117.</span>  238.  238. 0       0.357 </span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -109,14 +92,14 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/index.html b/reference/index.html
index 133eded8..161399e6 100644
--- a/reference/index.html
+++ b/reference/index.html
@@ -1,475 +1,545 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Function reference • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Function reference"><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Package index • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Package index"><meta property="og:image" content="/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/ssdtools.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../articles/index.html">Articles</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/ssdtools.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-index">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="../logo.png" class="logo" alt=""><h1>Function reference</h1>
+      <img src="../logo.png" class="logo" alt=""><h1>Package index</h1>
     </div>
 
     <div class="section level2">
       <h2 id="distribution-names">Distribution Names<a class="anchor" aria-label="anchor" href="#distribution-names"></a></h2>
-      
+
       <div class="section-desc"><p>Functions that return character vectors of distribution names</p></div>
 
-      
-    </div><div id="" class="section level2">
-      
-      
-      
+
+    </div><div class="section level2">
+
+
+
 
       <dl><dt>
-          
-          <code><a href="ssd_dists.html">ssd_dists()</a></code> 
+
+          <code><a href="ssd_dists.html">ssd_dists()</a></code>
+
         </dt>
         <dd>Species Sensitivity Distributions</dd>
       </dl><dl><dt>
-          
-          <code><a href="ssd_dists_all.html">ssd_dists_all()</a></code> 
+
+          <code><a href="ssd_dists_all.html">ssd_dists_all()</a></code>
+
         </dt>
         <dd>All Species Sensitivity Distributions</dd>
       </dl><dl><dt>
-          
-          <code><a href="ssd_dists_bcanz.html">ssd_dists_bcanz()</a></code> 
+
+          <code><a href="ssd_dists_bcanz.html">ssd_dists_bcanz()</a></code>
+
         </dt>
         <dd>BCANZ Distributions</dd>
       </dl></div><div class="section level2">
       <h2 id="fit">Fit<a class="anchor" aria-label="anchor" href="#fit"></a></h2>
-      
+
       <div class="section-desc"><p>Functions that fit distributions to data</p></div>
 
-      
-    </div><div id="" class="section level2">
-      
-      
-      
+
+    </div><div class="section level2">
+
+
+
 
       <dl><dt>
-          
-          <code><a href="ssd_fit_dists.html">ssd_fit_dists()</a></code> 
+
+          <code><a href="ssd_fit_dists.html">ssd_fit_dists()</a></code>
+
         </dt>
         <dd>Fit Distributions</dd>
       </dl><dl><dt>
-          
-          <code><a href="ssd_fit_bcanz.html">ssd_fit_bcanz()</a></code> 
+
+          <code><a href="ssd_fit_bcanz.html">ssd_fit_bcanz()</a></code>
+
         </dt>
         <dd>Fit BCANZ Distributions</dd>
       </dl><dl><dt>
-          
-          <code><a href="ssd_fit_burrlioz.html">ssd_fit_burrlioz()</a></code> 
+
+          <code><a href="ssd_fit_burrlioz.html">ssd_fit_burrlioz()</a></code>
+
         </dt>
         <dd>Fit Burrlioz Distributions</dd>
       </dl></div><div class="section level2">
       <h2 id="hazard-concentrations">Hazard Concentrations<a class="anchor" aria-label="anchor" href="#hazard-concentrations"></a></h2>
-      
+
       <div class="section-desc"><p>Functions that calculate hazard concentrations</p></div>
 
-      
-    </div><div id="" class="section level2">
-      
-      
-      
+
+    </div><div class="section level2">
+
+
+
 
       <dl><dt>
-          
-          <code><a href="ssd_hc.html">ssd_hc()</a></code> 
+
+          <code><a href="ssd_hc.html">ssd_hc()</a></code>
+
         </dt>
         <dd>Hazard Concentrations for Species Sensitivity Distributions</dd>
       </dl><dl><dt>
-          
-          <code><a href="ssd_hc_bcanz.html">ssd_hc_bcanz()</a></code> 
+
+          <code><a href="ssd_hc_bcanz.html">ssd_hc_bcanz()</a></code>
+
         </dt>
         <dd>BCANZ Hazard Concentrations</dd>
-      </dl><dl><dt>
-          
-          <code><a href="ssd_wqg_bc.html">ssd_wqg_bc()</a></code> 
-        </dt>
-        <dd>Water Quality Guideline for British Columbia</dd>
-      </dl><dl><dt>
-          
-          <code><a href="ssd_wqg_burrlioz.html">ssd_wqg_burrlioz()</a></code> 
-        </dt>
-        <dd>Water Quality Guideline for Burrlioz</dd>
       </dl></div><div class="section level2">
       <h2 id="hazard-proportions">Hazard Proportions<a class="anchor" aria-label="anchor" href="#hazard-proportions"></a></h2>
-      
+
       <div class="section-desc"><p>Functions that calculate hazard proportions</p></div>
 
-      
-    </div><div id="" class="section level2">
-      
-      
-      
+
+    </div><div class="section level2">
+
+
+
 
       <dl><dt>
-          
-          <code><a href="ssd_hp.html">ssd_hp()</a></code> 
+
+          <code><a href="ssd_hp.html">ssd_hp()</a></code>
+
         </dt>
         <dd>Hazard Proportion</dd>
       </dl><dl><dt>
-          
-          <code><a href="ssd_hp_bcanz.html">ssd_hp_bcanz()</a></code> 
+
+          <code><a href="ssd_hp_bcanz.html">ssd_hp_bcanz()</a></code>
+
         </dt>
         <dd>BCANZ Hazard Proportion</dd>
       </dl></div><div class="section level2">
+      <h2 id="manipulate-data">Manipulate Data<a class="anchor" aria-label="anchor" href="#manipulate-data"></a></h2>
+
+      <div class="section-desc"><p>Functions that manipulate data</p></div>
+
+
+    </div><div class="section level2">
+
+
+
+
+      <dl><dt>
+
+          <code><a href="ssd_censor_data.html">ssd_censor_data()</a></code>
+
+        </dt>
+        <dd>Censor Data</dd>
+      </dl><dl><dt>
+
+          <code><a href="ssd_data.html">ssd_data()</a></code>
+
+        </dt>
+        <dd>Data from fitdists Object</dd>
+      </dl><dl><dt>
+
+          <code><a href="ssd_sort_data.html">ssd_sort_data()</a></code>
+
+        </dt>
+        <dd>Sort Species Sensitivity Data</dd>
+      </dl></div><div class="section level2">
       <h2 id="manipulate-fits">Manipulate Fits<a class="anchor" aria-label="anchor" href="#manipulate-fits"></a></h2>
-      
+
       <div class="section-desc"><p>Functions that manipulate fits of distributions</p></div>
 
-      
-    </div><div id="" class="section level2">
-      
-      
-      
+
+    </div><div class="section level2">
+
+
+
 
       <dl><dt>
-          
-          <code><a href="augment.fitdists.html">augment(<i>&lt;fitdists&gt;</i>)</a></code> 
+
+          <code><a href="augment.fitdists.html">augment(<i>&lt;fitdists&gt;</i>)</a></code>
+
         </dt>
         <dd>Augmented Data from fitdists Object</dd>
       </dl><dl><dt>
-          
-          <code><a href="coef.fitdists.html">coef(<i>&lt;fitdists&gt;</i>)</a></code> 
+
+          <code><a href="coef.fitdists.html">coef(<i>&lt;fitdists&gt;</i>)</a></code>
+
         </dt>
         <dd>Turn a fitdists Object into a Tidy Tibble</dd>
       </dl><dl><dt>
-          
-          <code><a href="estimates.fitdists.html">estimates(<i>&lt;fitdists&gt;</i>)</a></code> 
+
+          <code><a href="estimates.fitdists.html">estimates(<i>&lt;fitdists&gt;</i>)</a></code>
+
         </dt>
         <dd>Estimates for fitdists Object</dd>
       </dl><dl><dt>
-          
-          <code><a href="glance.fitdists.html">glance(<i>&lt;fitdists&gt;</i>)</a></code> 
+
+          <code><a href="glance.fitdists.html">glance(<i>&lt;fitdists&gt;</i>)</a></code>
+
         </dt>
         <dd>Get a tibble summarizing each distribution</dd>
       </dl><dl><dt>
-          
-          <code><a href="predict.fitburrlioz.html">predict(<i>&lt;fitburrlioz&gt;</i>)</a></code> 
+
+          <code><a href="predict.fitburrlioz.html">predict(<i>&lt;fitburrlioz&gt;</i>)</a></code>
+
         </dt>
         <dd>Predict Hazard Concentrations of fitburrlioz Object</dd>
       </dl><dl><dt>
-          
-          <code><a href="predict.fitdists.html">predict(<i>&lt;fitdists&gt;</i>)</a></code> 
+
+          <code><a href="predict.fitdists.html">predict(<i>&lt;fitdists&gt;</i>)</a></code>
+
         </dt>
         <dd>Predict Hazard Concentrations of fitdists Object</dd>
       </dl><dl><dt>
-          
-          <code><a href="ssd_gof.html">ssd_gof()</a></code> 
+
+          <code><a href="ssd_gof.html">ssd_gof()</a></code>
+
         </dt>
         <dd>Goodness of Fit</dd>
       </dl><dl><dt>
-          
-          <code><a href="subset.fitdists.html">subset(<i>&lt;fitdists&gt;</i>)</a></code> 
+
+          <code><a href="subset.fitdists.html">subset(<i>&lt;fitdists&gt;</i>)</a></code>
+
         </dt>
         <dd>Subset fitdists Object</dd>
       </dl><dl><dt>
-          
-          <code><a href="tidy.fitdists.html">tidy(<i>&lt;fitdists&gt;</i>)</a></code> 
+
+          <code><a href="tidy.fitdists.html">tidy(<i>&lt;fitdists&gt;</i>)</a></code>
+
         </dt>
         <dd>Turn a fitdists Object into a Tibble</dd>
       </dl></div><div class="section level2">
       <h2 id="plots">Plots<a class="anchor" aria-label="anchor" href="#plots"></a></h2>
-      
+
       <div class="section-desc"><p>Functions to Generate Plots</p></div>
 
-      
-    </div><div id="" class="section level2">
-      
-      
-      
+
+    </div><div class="section level2">
+
+
+
 
       <dl><dt>
-          
-          <code><a href="autoplot.fitdists.html">autoplot(<i>&lt;fitdists&gt;</i>)</a></code> 
+
+          <code><a href="autoplot.fitdists.html">autoplot(<i>&lt;fitdists&gt;</i>)</a></code>
+
         </dt>
         <dd>Plot a fitdists Object</dd>
       </dl><dl><dt>
-          
-          <code><a href="geom_hcintersect.html">geom_hcintersect()</a></code> 
+
+          <code><a href="geom_hcintersect.html">geom_hcintersect()</a></code>
+
         </dt>
         <dd>Species Sensitivity Hazard Concentration Intersection</dd>
       </dl><dl><dt>
-          
-          <code><a href="geom_ssdpoint.html">geom_ssdpoint()</a></code> 
+
+          <code><a href="geom_ssdpoint.html">geom_ssdpoint()</a></code>
+
         </dt>
         <dd>Species Sensitivity Data Points</dd>
       </dl><dl><dt>
-          
-          <code><a href="geom_ssdsegment.html">geom_ssdsegment()</a></code> 
+
+          <code><a href="geom_ssdsegment.html">geom_ssdsegment()</a></code>
+
         </dt>
         <dd>Species Sensitivity Censored Segments</dd>
       </dl><dl><dt>
-          
-          <code><a href="geom_xribbon.html">geom_xribbon()</a></code> 
+
+          <code><a href="geom_xribbon.html">geom_xribbon()</a></code>
+
         </dt>
         <dd>Ribbon on X-Axis</dd>
       </dl><dl><dt>
-          
-          <code><a href="scale_colour_ssd.html">scale_colour_ssd()</a></code> <code><a href="scale_colour_ssd.html">scale_color_ssd()</a></code> 
+
+          <code><a href="scale_colour_ssd.html">scale_colour_ssd()</a></code> <code><a href="scale_colour_ssd.html">scale_color_ssd()</a></code>
+
         </dt>
         <dd>Discrete color-blind scale for SSD Plots</dd>
       </dl><dl><dt>
-          
-          <code><a href="ssd_pal.html">ssd_pal()</a></code> 
+
+          <code><a href="ssd_label_comma.html">ssd_label_comma()</a></code>
+
+        </dt>
+        <dd>Label numbers with significant digits and comma</dd>
+      </dl><dl><dt>
+
+          <code><a href="ssd_pal.html">ssd_pal()</a></code>
+
         </dt>
         <dd>Color-blind Palette for SSD Plots</dd>
       </dl><dl><dt>
-          
-          <code><a href="ssd_plot.html">ssd_plot()</a></code> 
+
+          <code><a href="ssd_plot.html">ssd_plot()</a></code>
+
         </dt>
         <dd>Plot Species Sensitivity Data and Distributions</dd>
       </dl><dl><dt>
-          
-          <code><a href="ssd_plot_cdf.html">ssd_plot_cdf()</a></code> 
+
+          <code><a href="ssd_plot_cdf.html">ssd_plot_cdf()</a></code>
+
         </dt>
         <dd>Plot Cumulative Distribution Function (CDF)</dd>
       </dl><dl><dt>
-          
-          <code><a href="ssd_plot_data.html">ssd_plot_data()</a></code> 
+
+          <code><a href="ssd_plot_data.html">ssd_plot_data()</a></code>
+
         </dt>
         <dd>Plot Species Sensitivity Data</dd>
       </dl><dl><dt>
-          
-          <code><a href="ssdtools-ggproto.html">StatSsdpoint</a></code> <code><a href="ssdtools-ggproto.html">StatSsdsegment</a></code> <code><a href="ssdtools-ggproto.html">GeomSsdpoint</a></code> <code><a href="ssdtools-ggproto.html">GeomSsdsegment</a></code> <code><a href="ssdtools-ggproto.html">GeomHcintersect</a></code> <code><a href="ssdtools-ggproto.html">GeomXribbon</a></code> 
+
+          <code><a href="ssdtools-ggproto.html">StatSsdpoint</a></code> <code><a href="ssdtools-ggproto.html">StatSsdsegment</a></code> <code><a href="ssdtools-ggproto.html">GeomSsdpoint</a></code> <code><a href="ssdtools-ggproto.html">GeomSsdsegment</a></code> <code><a href="ssdtools-ggproto.html">GeomHcintersect</a></code> <code><a href="ssdtools-ggproto.html">GeomXribbon</a></code>
+
         </dt>
         <dd>ggproto Classes for Plotting Species Sensitivity Data and Distributions</dd>
       </dl></div><div class="section level2">
       <h2 id="distributional-functions">Distributional Functions<a class="anchor" aria-label="anchor" href="#distributional-functions"></a></h2>
-      
+
       <div class="section-desc"><p>Distribution, quantile, random functions</p></div>
 
-      
-    </div><div id="" class="section level2">
-      
-      
-      
+
+    </div><div class="section level2">
+
+
+
 
       <dl><dt>
-          
-          <code><a href="ssd_p.html">ssd_pburrIII3()</a></code> <code><a href="ssd_p.html">ssd_pgamma()</a></code> <code><a href="ssd_p.html">ssd_pgompertz()</a></code> <code><a href="ssd_p.html">ssd_pinvpareto()</a></code> <code><a href="ssd_p.html">ssd_plgumbel()</a></code> <code><a href="ssd_p.html">ssd_pllogis_llogis()</a></code> <code><a href="ssd_p.html">ssd_pllogis()</a></code> <code><a href="ssd_p.html">ssd_plnorm_lnorm()</a></code> <code><a href="ssd_p.html">ssd_plnorm()</a></code> <code><a href="ssd_p.html">ssd_pmulti()</a></code> <code><a href="ssd_p.html">ssd_pweibull()</a></code> 
+
+          <code><a href="ssd_p.html">ssd_pburrIII3()</a></code> <code><a href="ssd_p.html">ssd_pgamma()</a></code> <code><a href="ssd_p.html">ssd_pgompertz()</a></code> <code><a href="ssd_p.html">ssd_pinvpareto()</a></code> <code><a href="ssd_p.html">ssd_plgumbel()</a></code> <code><a href="ssd_p.html">ssd_pllogis_llogis()</a></code> <code><a href="ssd_p.html">ssd_pllogis()</a></code> <code><a href="ssd_p.html">ssd_plnorm_lnorm()</a></code> <code><a href="ssd_p.html">ssd_plnorm()</a></code> <code><a href="ssd_p.html">ssd_pmulti()</a></code> <code><a href="ssd_p.html">ssd_pweibull()</a></code>
+
         </dt>
         <dd>Cumulative Distribution Function</dd>
       </dl><dl><dt>
-          
-          <code><a href="ssd_q.html">ssd_qburrIII3()</a></code> <code><a href="ssd_q.html">ssd_qgamma()</a></code> <code><a href="ssd_q.html">ssd_qgompertz()</a></code> <code><a href="ssd_q.html">ssd_qinvpareto()</a></code> <code><a href="ssd_q.html">ssd_qlgumbel()</a></code> <code><a href="ssd_q.html">ssd_qllogis_llogis()</a></code> <code><a href="ssd_q.html">ssd_qllogis()</a></code> <code><a href="ssd_q.html">ssd_qlnorm_lnorm()</a></code> <code><a href="ssd_q.html">ssd_qlnorm()</a></code> <code><a href="ssd_q.html">ssd_qmulti()</a></code> <code><a href="ssd_q.html">ssd_qweibull()</a></code> 
+
+          <code><a href="ssd_q.html">ssd_qburrIII3()</a></code> <code><a href="ssd_q.html">ssd_qgamma()</a></code> <code><a href="ssd_q.html">ssd_qgompertz()</a></code> <code><a href="ssd_q.html">ssd_qinvpareto()</a></code> <code><a href="ssd_q.html">ssd_qlgumbel()</a></code> <code><a href="ssd_q.html">ssd_qllogis_llogis()</a></code> <code><a href="ssd_q.html">ssd_qllogis()</a></code> <code><a href="ssd_q.html">ssd_qlnorm_lnorm()</a></code> <code><a href="ssd_q.html">ssd_qlnorm()</a></code> <code><a href="ssd_q.html">ssd_qmulti()</a></code> <code><a href="ssd_q.html">ssd_qweibull()</a></code>
+
         </dt>
         <dd>Quantile Function</dd>
       </dl><dl><dt>
-          
-          <code><a href="ssd_r.html">ssd_rburrIII3()</a></code> <code><a href="ssd_r.html">ssd_rgamma()</a></code> <code><a href="ssd_r.html">ssd_rgompertz()</a></code> <code><a href="ssd_r.html">ssd_rinvpareto()</a></code> <code><a href="ssd_r.html">ssd_rlgumbel()</a></code> <code><a href="ssd_r.html">ssd_rllogis_llogis()</a></code> <code><a href="ssd_r.html">ssd_rllogis()</a></code> <code><a href="ssd_r.html">ssd_rlnorm_lnorm()</a></code> <code><a href="ssd_r.html">ssd_rlnorm()</a></code> <code><a href="ssd_r.html">ssd_rmulti()</a></code> <code><a href="ssd_r.html">ssd_rweibull()</a></code> 
+
+          <code><a href="ssd_r.html">ssd_rburrIII3()</a></code> <code><a href="ssd_r.html">ssd_rgamma()</a></code> <code><a href="ssd_r.html">ssd_rgompertz()</a></code> <code><a href="ssd_r.html">ssd_rinvpareto()</a></code> <code><a href="ssd_r.html">ssd_rlgumbel()</a></code> <code><a href="ssd_r.html">ssd_rllogis_llogis()</a></code> <code><a href="ssd_r.html">ssd_rllogis()</a></code> <code><a href="ssd_r.html">ssd_rlnorm_lnorm()</a></code> <code><a href="ssd_r.html">ssd_rlnorm()</a></code> <code><a href="ssd_r.html">ssd_rmulti()</a></code> <code><a href="ssd_r.html">ssd_rweibull()</a></code>
+
         </dt>
         <dd>Random Number Generation</dd>
       </dl><dl><dt>
-          
-          <code><a href="ssd_e.html">ssd_eburrIII3()</a></code> <code><a href="ssd_e.html">ssd_egamma()</a></code> <code><a href="ssd_e.html">ssd_egompertz()</a></code> <code><a href="ssd_e.html">ssd_einvpareto()</a></code> <code><a href="ssd_e.html">ssd_elgumbel()</a></code> <code><a href="ssd_e.html">ssd_ellogis_llogis()</a></code> <code><a href="ssd_e.html">ssd_ellogis()</a></code> <code><a href="ssd_e.html">ssd_elnorm_lnorm()</a></code> <code><a href="ssd_e.html">ssd_elnorm()</a></code> <code><a href="ssd_e.html">ssd_emulti()</a></code> <code><a href="ssd_e.html">ssd_eweibull()</a></code> 
+
+          <code><a href="ssd_e.html">ssd_eburrIII3()</a></code> <code><a href="ssd_e.html">ssd_egamma()</a></code> <code><a href="ssd_e.html">ssd_egompertz()</a></code> <code><a href="ssd_e.html">ssd_einvpareto()</a></code> <code><a href="ssd_e.html">ssd_elgumbel()</a></code> <code><a href="ssd_e.html">ssd_ellogis_llogis()</a></code> <code><a href="ssd_e.html">ssd_ellogis()</a></code> <code><a href="ssd_e.html">ssd_elnorm_lnorm()</a></code> <code><a href="ssd_e.html">ssd_elnorm()</a></code> <code><a href="ssd_e.html">ssd_emulti()</a></code> <code><a href="ssd_e.html">ssd_eweibull()</a></code>
+
         </dt>
         <dd>Default Parameter Estimates</dd>
       </dl></div><div class="section level2">
       <h2 id="miscellaneous">Miscellaneous<a class="anchor" aria-label="anchor" href="#miscellaneous"></a></h2>
-      
+
       <div class="section-desc"><p>Miscellaneous functions and data</p></div>
 
-      
-    </div><div id="" class="section level2">
-      
-      
-      
+
+    </div><div class="section level2">
+
+
+
 
       <dl><dt>
-          
-          <code><a href="boron_pred.html">boron_pred</a></code> 
+
+          <code><a href="boron_pred.html">boron_pred</a></code>
+
         </dt>
         <dd>Model Averaged Predictions for CCME Boron Data</dd>
       </dl><dl><dt>
-          
-          <code><a href="comma_signif.html">comma_signif()</a></code> 
-        </dt>
-        <dd>Comma and Significance Formatter</dd>
-      </dl><dl><dt>
-          
-          <code><a href="dist_data.html">dist_data</a></code> 
+
+          <code><a href="dist_data.html">dist_data</a></code>
+
         </dt>
         <dd>Distribution Data</dd>
       </dl><dl><dt>
-          
-          <code><a href="is.fitdists.html">is.fitdists()</a></code> 
+
+          <code><a href="is.fitdists.html">is.fitdists()</a></code>
+
         </dt>
         <dd>Is fitdists Object</dd>
       </dl><dl><dt>
-          
-          <code><a href="licensing_md.html">licensing_md()</a></code> 
+
+          <code><a href="ssd_licensing_md.html">ssd_licensing_md()</a></code>
+
         </dt>
         <dd>Licensing Markdown</dd>
       </dl><dl><dt>
-          
-          <code><a href="reexports.html">reexports</a></code> <code><a href="reexports.html">augment</a></code> <code><a href="reexports.html">autoplot</a></code> <code><a href="reexports.html">coef</a></code> <code><a href="reexports.html">estimates</a></code> <code><a href="reexports.html">glance</a></code> <code><a href="reexports.html">logLik</a></code> <code><a href="reexports.html">nobs</a></code> <code><a href="reexports.html">npars</a></code> <code><a href="reexports.html">plot</a></code> <code><a href="reexports.html">predict</a></code> <code><a href="reexports.html">waiver</a></code> <code><a href="reexports.html">tidy</a></code> 
+
+          <code><a href="reexports.html">reexports</a></code> <code><a href="reexports.html">augment</a></code> <code><a href="reexports.html">autoplot</a></code> <code><a href="reexports.html">coef</a></code> <code><a href="reexports.html">estimates</a></code> <code><a href="reexports.html">glance</a></code> <code><a href="reexports.html">logLik</a></code> <code><a href="reexports.html">nobs</a></code> <code><a href="reexports.html">npars</a></code> <code><a href="reexports.html">plot</a></code> <code><a href="reexports.html">predict</a></code> <code><a href="reexports.html">waiver</a></code> <code><a href="reexports.html">tidy</a></code>
+
         </dt>
         <dd>Objects exported from other packages</dd>
       </dl><dl><dt>
-          
-          <code><a href="ssd_data.html">ssd_data()</a></code> 
+
+          <code><a href="params.html">params</a></code> <code><a href="params.html">parameters</a></code> <code><a href="params.html">arguments</a></code> <code><a href="params.html">args</a></code>
+
         </dt>
-        <dd>Data from fitdists Object</dd>
+        <dd>Parameter Descriptions for ssdtools Functions</dd>
       </dl><dl><dt>
-          
-          <code><a href="ssd_ecd.html">ssd_ecd()</a></code> 
+
+          <code><a href="ssd_ecd.html">ssd_ecd()</a></code>
+
         </dt>
         <dd>Empirical Cumulative Density</dd>
       </dl><dl><dt>
-          
-          <code><a href="ssd_ecd_data.html">ssd_ecd_data()</a></code> 
+
+          <code><a href="ssd_ecd_data.html">ssd_ecd_data()</a></code>
+
         </dt>
         <dd>Empirical Cumulative Density for Species Sensitivity Data</dd>
       </dl><dl><dt>
-          
-          <code><a href="ssd_exposure.html">ssd_exposure()</a></code> 
+
+          <code><a href="ssd_exposure.html">ssd_exposure()</a></code>
+
         </dt>
         <dd>Proportion Exposure</dd>
       </dl><dl><dt>
-          
-          <code><a href="ssd_fit_dists.html">ssd_fit_dists()</a></code> 
-        </dt>
-        <dd>Fit Distributions</dd>
-      </dl><dl><dt>
-          
-          <code><a href="ssd_is_censored.html">ssd_is_censored()</a></code> 
+
+          <code><a href="ssd_is_censored.html">ssd_is_censored()</a></code>
+
         </dt>
         <dd>Is Censored</dd>
       </dl><dl><dt>
-          
-          <code><a href="ssd_match_moments.html">ssd_match_moments()</a></code> 
+
+          <code><a href="ssd_match_moments.html">ssd_match_moments()</a></code>
+
         </dt>
         <dd>Match Moments</dd>
       </dl><dl><dt>
-          
-          <code><a href="ssd_sort_data.html">ssd_sort_data()</a></code> 
-        </dt>
-        <dd>Sort Species Sensitivity Data</dd>
-      </dl><dl><dt>
-          
-          <code><a href="pearson1000.html">pearson1000</a></code> 
+
+          <code><a href="ssd_min_pmix.html">ssd_min_pmix()</a></code>
+
         </dt>
-        <dd>Pearson 1000 Data</dd>
+        <dd>Calculate Minimum Proportion in Mixture Models</dd>
       </dl></div><div class="section level2">
       <h2 id="deprecated">Deprecated<a class="anchor" aria-label="anchor" href="#deprecated"></a></h2>
-      
+
       <div class="section-desc"><p>Deprecated functions which will become defunct in future versions</p></div>
 
-      
-    </div><div id="" class="section level2">
-      
-      
-      
+
+    </div><div class="section level2">
+
+
+
 
       <dl><dt>
-          
-          <code><a href="geom_ssd.html">geom_ssd()</a></code> 
+
+          <code><a href="comma_signif.html">comma_signif()</a></code>
+
+        </dt>
+        <dd>Comma and Significance Formatter</dd>
+      </dl><dl><dt>
+
+          <code><a href="geom_ssd.html">geom_ssd()</a></code>
+
         </dt>
         <dd>Species Sensitivity Data Points <a href="https://lifecycle.r-lib.org/articles/stages.html#deprecated" class="external-link"><img src="figures/lifecycle-deprecated.svg" alt="[Deprecated]"></a></dd>
       </dl><dl><dt>
-          
-          <code><a href="is_censored.html">is_censored()</a></code> 
+
+          <code><a href="is_censored.html">is_censored()</a></code>
+
         </dt>
         <dd>Is Censored <a href="https://lifecycle.r-lib.org/articles/stages.html#deprecated" class="external-link"><img src="figures/lifecycle-deprecated.svg" alt="[Deprecated]"></a></dd>
       </dl><dl><dt>
-          
-          <code><a href="ssd_hc_burrlioz.html">ssd_hc_burrlioz()</a></code> 
+
+          <code><a href="ssd_wqg_bc.html">ssd_wqg_bc()</a></code>
+
+        </dt>
+        <dd>Water Quality Guideline for British Columbia</dd>
+      </dl><dl><dt>
+
+          <code><a href="ssd_wqg_burrlioz.html">ssd_wqg_burrlioz()</a></code>
+
+        </dt>
+        <dd>Water Quality Guideline for Burrlioz</dd>
+      </dl><dl><dt>
+
+          <code><a href="ssd_hc_burrlioz.html">ssd_hc_burrlioz()</a></code>
+
         </dt>
         <dd>Hazard Concentrations for Burrlioz Fit <a href="https://lifecycle.r-lib.org/articles/stages.html#deprecated" class="external-link"><img src="figures/lifecycle-deprecated.svg" alt="[Deprecated]"></a></dd>
       </dl><dl><dt>
-          
-          <code><a href="ssd_plot_cf.html">ssd_plot_cf()</a></code> 
+
+          <code><a href="ssd_plot_cf.html">ssd_plot_cf()</a></code>
+
         </dt>
         <dd>Cullen and Frey Plot <a href="https://lifecycle.r-lib.org/articles/stages.html#deprecated" class="external-link"><img src="figures/lifecycle-deprecated.svg" alt="[Deprecated]"></a></dd>
       </dl><dl><dt>
-          
-          <code><a href="stat_ssd.html">stat_ssd()</a></code> 
+
+          <code><a href="stat_ssd.html">stat_ssd()</a></code>
+
         </dt>
         <dd>Plot Species Sensitivity Data <a href="https://lifecycle.r-lib.org/articles/stages.html#deprecated" class="external-link"><img src="figures/lifecycle-deprecated.svg" alt="[Deprecated]"></a></dd>
       </dl><dl><dt>
-          
-          <code><a href="dgompertz.html">dgompertz()</a></code> 
+
+          <code><a href="dgompertz.html">dgompertz()</a></code>
+          <span class="badge lifecycle lifecycle-deprecated">deprecated</span>
         </dt>
         <dd>Gompertz Probability Density <a href="https://lifecycle.r-lib.org/articles/stages.html#deprecated" class="external-link"><img src="figures/lifecycle-deprecated.svg" alt="[Deprecated]"></a></dd>
       </dl><dl><dt>
-          
-          <code><a href="pgompertz.html">pgompertz()</a></code> 
+
+          <code><a href="pgompertz.html">pgompertz()</a></code>
+          <span class="badge lifecycle lifecycle-deprecated">deprecated</span>
         </dt>
         <dd>Cumulative Distribution Function for Gompertz Distribution <a href="https://lifecycle.r-lib.org/articles/stages.html#deprecated" class="external-link"><img src="figures/lifecycle-deprecated.svg" alt="[Deprecated]"></a></dd>
       </dl><dl><dt>
-          
-          <code><a href="qgompertz.html">qgompertz()</a></code> 
+
+          <code><a href="qgompertz.html">qgompertz()</a></code>
+          <span class="badge lifecycle lifecycle-deprecated">deprecated</span>
         </dt>
         <dd>Quantile Function for Gompertz Distribution <a href="https://lifecycle.r-lib.org/articles/stages.html#deprecated" class="external-link"><img src="figures/lifecycle-deprecated.svg" alt="[Deprecated]"></a></dd>
       </dl><dl><dt>
-          
-          <code><a href="rgompertz.html">rgompertz()</a></code> 
+
+          <code><a href="rgompertz.html">rgompertz()</a></code>
+          <span class="badge lifecycle lifecycle-deprecated">deprecated</span>
         </dt>
         <dd>Random Generation for Gompertz Distribution <a href="https://lifecycle.r-lib.org/articles/stages.html#deprecated" class="external-link"><img src="figures/lifecycle-deprecated.svg" alt="[Deprecated]"></a></dd>
       </dl><dl><dt>
-          
-          <code><a href="dlgumbel.html">dlgumbel()</a></code> 
+
+          <code><a href="dlgumbel.html">dlgumbel()</a></code>
+          <span class="badge lifecycle lifecycle-deprecated">deprecated</span>
         </dt>
         <dd>Log-Gumbel (Inverse Weibull) Probability Density <a href="https://lifecycle.r-lib.org/articles/stages.html#deprecated" class="external-link"><img src="figures/lifecycle-deprecated.svg" alt="[Deprecated]"></a></dd>
       </dl><dl><dt>
-          
-          <code><a href="plgumbel.html">plgumbel()</a></code> 
+
+          <code><a href="plgumbel.html">plgumbel()</a></code>
+          <span class="badge lifecycle lifecycle-deprecated">deprecated</span>
         </dt>
         <dd>Cumulative Distribution Function for Log-Gumbel Distribution <a href="https://lifecycle.r-lib.org/articles/stages.html#deprecated" class="external-link"><img src="figures/lifecycle-deprecated.svg" alt="[Deprecated]"></a></dd>
       </dl><dl><dt>
-          
-          <code><a href="qlgumbel.html">qlgumbel()</a></code> 
+
+          <code><a href="qlgumbel.html">qlgumbel()</a></code>
+          <span class="badge lifecycle lifecycle-deprecated">deprecated</span>
         </dt>
         <dd>Quantile Function for Log-Gumbel Distribution <a href="https://lifecycle.r-lib.org/articles/stages.html#deprecated" class="external-link"><img src="figures/lifecycle-deprecated.svg" alt="[Deprecated]"></a></dd>
       </dl><dl><dt>
-          
-          <code><a href="rlgumbel.html">rlgumbel()</a></code> 
+
+          <code><a href="rlgumbel.html">rlgumbel()</a></code>
+          <span class="badge lifecycle lifecycle-deprecated">deprecated</span>
         </dt>
         <dd>Random Generation for log-Gumbel Distribution <a href="https://lifecycle.r-lib.org/articles/stages.html#deprecated" class="external-link"><img src="figures/lifecycle-deprecated.svg" alt="[Deprecated]"></a></dd>
       </dl></div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -478,14 +548,14 @@ <h2 id="deprecated">Deprecated<a class="anchor" aria-label="anchor" href="#depre
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/is.fitdists.html b/reference/is.fitdists.html
index e839bf26..0a3dc87b 100644
--- a/reference/is.fitdists.html
+++ b/reference/is.fitdists.html
@@ -1,53 +1,36 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Tests whether x is a fitdists Object."><title>Is fitdists Object — is.fitdists • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Is fitdists Object — is.fitdists"><meta property="og:description" content="Tests whether x is a fitdists Object."><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Is fitdists Object — is.fitdists • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Is fitdists Object — is.fitdists"><meta name="description" content="Tests whether x is a fitdists Object."><meta property="og:description" content="Tests whether x is a fitdists Object."><meta property="og:image" content="/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/ssdtools.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../articles/index.html">Articles</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/ssdtools.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Is fitdists Object</h1>
-      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/HEAD/R/is.R" class="external-link"><code>R/is.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/main/R/is.R" class="external-link"><code>R/is.R</code></a></small>
       <div class="d-none name"><code>is.fitdists.Rd</code></div>
     </div>
 
@@ -62,15 +45,15 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>x</dt>
+
+
+<dl><dt id="arg-x">x<a class="anchor" aria-label="anchor" href="#arg-x"></a></dt>
 <dd><p>The object.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>A flag specifying whether x is a fitdists Object.</p>
+    <p>A flag specifying whether x is a fitdists Object.</p>
     </div>
 
     <div class="section level2">
@@ -80,7 +63,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> [1] TRUE</span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -89,14 +72,14 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/is_censored.html b/reference/is_censored.html
index 8309c1b8..6a394805 100644
--- a/reference/is_censored.html
+++ b/reference/is_censored.html
@@ -1,53 +1,36 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Deprecated for ssd_is_censored()."><title>Is Censored  — is_censored • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Is Censored  — is_censored"><meta property="og:description" content="Deprecated for ssd_is_censored()."><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Is Censored  — is_censored • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Is Censored  — is_censored"><meta name="description" content="Deprecated for ssd_is_censored()."><meta property="og:description" content="Deprecated for ssd_is_censored()."><meta property="og:image" content="/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/ssdtools.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../articles/index.html">Articles</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/ssdtools.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Is Censored <a href="https://lifecycle.r-lib.org/articles/stages.html#deprecated" class="external-link"><img src="figures/lifecycle-deprecated.svg" alt="[Deprecated]"></a></h1>
-      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/HEAD/R/censor.R" class="external-link"><code>R/censor.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/main/R/censored.R" class="external-link"><code>R/censored.R</code></a></small>
       <div class="d-none name"><code>is_censored.Rd</code></div>
     </div>
 
@@ -62,31 +45,22 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>x</dt>
+
+
+<dl><dt id="arg-x">x<a class="anchor" aria-label="anchor" href="#arg-x"></a></dt>
 <dd><p>A fitdists object.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>A flag indicating if the data is censored.</p>
+    <p>A flag indicating if the data is censored.</p>
     </div>
     <div class="section level2">
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
     <div class="dont-index"><p><code><a href="ssd_is_censored.html">ssd_is_censored()</a></code></p></div>
     </div>
 
-    <div class="section level2">
-    <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="va">fits</span> <span class="op">&lt;-</span> <span class="fu"><a href="ssd_fit_dists.html">ssd_fit_dists</a></span><span class="op">(</span><span class="fu">ssddata</span><span class="fu">::</span><span class="va"><a href="https://rdrr.io/pkg/ssddata/man/ccme_boron.html" class="external-link">ccme_boron</a></span><span class="op">)</span></span></span>
-<span class="r-in"><span><span class="fu">is_censored</span><span class="op">(</span><span class="va">fits</span><span class="op">)</span></span></span>
-<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>`is_censored()` was deprecated in ssdtools 0.3.7.</span>
-<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span style="color: #00BBBB;">ℹ</span> Please use `ssd_is_censored()` instead.</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [1] FALSE</span>
-</code></pre></div>
-    </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -95,14 +69,14 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/params.html b/reference/params.html
index 68cd76e7..c6d01813 100644
--- a/reference/params.html
+++ b/reference/params.html
@@ -1,53 +1,36 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Parameter Descriptions for ssdtools Functions"><title>Parameter Descriptions for ssdtools Functions — params • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Parameter Descriptions for ssdtools Functions — params"><meta property="og:description" content="Parameter Descriptions for ssdtools Functions"><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Parameter Descriptions for ssdtools Functions — params • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Parameter Descriptions for ssdtools Functions — params"><meta name="description" content="Parameter Descriptions for ssdtools Functions"><meta property="og:description" content="Parameter Descriptions for ssdtools Functions"><meta property="og:image" content="/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/ssdtools.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../articles/index.html">Articles</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/ssdtools.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Parameter Descriptions for ssdtools Functions</h1>
-      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/HEAD/R/params.R" class="external-link"><code>R/params.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/main/R/params.R" class="external-link"><code>R/params.R</code></a></small>
       <div class="d-none name"><code>params.Rd</code></div>
     </div>
 
@@ -58,528 +41,542 @@
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>add_x</dt>
+
+
+<dl><dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
+<dd><p>Unused.</p></dd>
+
+
+<dt id="arg-add-x">add_x<a class="anchor" aria-label="anchor" href="#arg-add-x"></a></dt>
 <dd><p>The value to add to the label x values (before multiplying by <code>shift_x</code>).</p></dd>
 
 
-<dt>all</dt>
+<dt id="arg-all">all<a class="anchor" aria-label="anchor" href="#arg-all"></a></dt>
 <dd><p>A flag specifying whether to also return transformed parameters.</p></dd>
 
 
-<dt>all_dists</dt>
+<dt id="arg-all-dists">all_dists<a class="anchor" aria-label="anchor" href="#arg-all-dists"></a></dt>
 <dd><p>A flag specifying whether all the named distributions must fit successfully.</p></dd>
 
 
-<dt>at_boundary_ok</dt>
+<dt id="arg-at-boundary-ok">at_boundary_ok<a class="anchor" aria-label="anchor" href="#arg-at-boundary-ok"></a></dt>
 <dd><p>A flag specifying whether a model with one or more
 parameters at the boundary should be considered to have converged (default = FALSE).</p></dd>
 
 
-<dt>average</dt>
+<dt id="arg-average">average<a class="anchor" aria-label="anchor" href="#arg-average"></a></dt>
 <dd><p>A flag specifying whether to provide model averaged values as opposed to a value for each distribution.</p></dd>
 
 
-<dt>bcanz</dt>
+<dt id="arg-bcanz">bcanz<a class="anchor" aria-label="anchor" href="#arg-bcanz"></a></dt>
 <dd><p>A flag or NULL specifying whether to only include distributions in the set that is approved by BC, Canada, Australia and New Zealand for official guidelines.</p></dd>
 
 
-<dt>breaks</dt>
+<dt id="arg-big-mark">big.mark<a class="anchor" aria-label="anchor" href="#arg-big-mark"></a></dt>
+<dd><p>A string specifying used between every 3 digits to separate thousands on the x-axis.</p></dd>
+
+
+<dt id="arg-breaks">breaks<a class="anchor" aria-label="anchor" href="#arg-breaks"></a></dt>
 <dd><p>A character vector</p></dd>
 
 
-<dt>bounds</dt>
+<dt id="arg-bounds">bounds<a class="anchor" aria-label="anchor" href="#arg-bounds"></a></dt>
 <dd><p>A named non-negative numeric vector of the left and right bounds for
 uncensored missing (0 and Inf) data in terms of the orders of magnitude
 relative to the extremes for non-missing values.</p></dd>
 
 
-<dt>chk</dt>
+<dt id="arg-chk">chk<a class="anchor" aria-label="anchor" href="#arg-chk"></a></dt>
 <dd><p>A flag specifying whether to check the arguments.</p></dd>
 
 
-<dt>ci</dt>
+<dt id="arg-ci">ci<a class="anchor" aria-label="anchor" href="#arg-ci"></a></dt>
 <dd><p>A flag specifying whether to estimate confidence intervals (by bootstrapping).</p></dd>
 
 
-<dt>color</dt>
+<dt id="arg-censoring">censoring<a class="anchor" aria-label="anchor" href="#arg-censoring"></a></dt>
+<dd><p>A numeric vector of the left and right censoring values.</p></dd>
+
+
+<dt id="arg-color">color<a class="anchor" aria-label="anchor" href="#arg-color"></a></dt>
 <dd><p>A string of the column in data for the color aesthetic.</p></dd>
 
 
-<dt>computable</dt>
+<dt id="arg-computable">computable<a class="anchor" aria-label="anchor" href="#arg-computable"></a></dt>
 <dd><p>A flag specifying whether to only return fits with numerically computable standard errors.</p></dd>
 
 
-<dt>conc</dt>
+<dt id="arg-conc">conc<a class="anchor" aria-label="anchor" href="#arg-conc"></a></dt>
 <dd><p>A numeric vector of concentrations to calculate the hazard proportions for.</p></dd>
 
 
-<dt>control</dt>
+<dt id="arg-control">control<a class="anchor" aria-label="anchor" href="#arg-control"></a></dt>
 <dd><p>A list of control parameters passed to <code><a href="https://rdrr.io/r/stats/optim.html" class="external-link">stats::optim()</a></code>.</p></dd>
 
 
-<dt>data</dt>
+<dt id="arg-data">data<a class="anchor" aria-label="anchor" href="#arg-data"></a></dt>
 <dd><p>A data frame.</p></dd>
 
 
-<dt>delta</dt>
+<dt id="arg-delta">delta<a class="anchor" aria-label="anchor" href="#arg-delta"></a></dt>
 <dd><p>A non-negative number specifying the maximum absolute AIC difference cutoff.
 Distributions with an absolute AIC difference greater than delta are excluded from the calculations.</p></dd>
 
 
-<dt>digits</dt>
+<dt id="arg-digits">digits<a class="anchor" aria-label="anchor" href="#arg-digits"></a></dt>
 <dd><p>A whole number specifying the number of significant figures.</p></dd>
 
 
-<dt>dists</dt>
+<dt id="arg-dists">dists<a class="anchor" aria-label="anchor" href="#arg-dists"></a></dt>
 <dd><p>A character vector of the distribution names.</p></dd>
 
 
-<dt>hc</dt>
+<dt id="arg-hc">hc<a class="anchor" aria-label="anchor" href="#arg-hc"></a></dt>
 <dd><p>A value between 0 and 1 indicating the proportion hazard concentration (or NULL).</p></dd>
 
 
-<dt>label</dt>
+<dt id="arg-label">label<a class="anchor" aria-label="anchor" href="#arg-label"></a></dt>
 <dd><p>A string of the column in data with the labels.</p></dd>
 
 
-<dt>left</dt>
+<dt id="arg-left">left<a class="anchor" aria-label="anchor" href="#arg-left"></a></dt>
 <dd><p>A string of the column in data with the concentrations.</p></dd>
 
 
-<dt>level</dt>
+<dt id="arg-level">level<a class="anchor" aria-label="anchor" href="#arg-level"></a></dt>
 <dd><p>A number between 0 and 1 of the confidence level of the interval.</p></dd>
 
 
-<dt>linecolor</dt>
+<dt id="arg-linecolor">linecolor<a class="anchor" aria-label="anchor" href="#arg-linecolor"></a></dt>
 <dd><p>A string of the column in pred to use for the line color.</p></dd>
 
 
-<dt>linetype</dt>
+<dt id="arg-linetype">linetype<a class="anchor" aria-label="anchor" href="#arg-linetype"></a></dt>
 <dd><p>A string of the column in pred to use for the linetype.</p></dd>
 
 
-<dt>llocation</dt>
+<dt id="arg-llocation">llocation<a class="anchor" aria-label="anchor" href="#arg-llocation"></a></dt>
 <dd><p>location parameter on the log scale.</p></dd>
 
 
-<dt>location</dt>
+<dt id="arg-location">location<a class="anchor" aria-label="anchor" href="#arg-location"></a></dt>
 <dd><p>location parameter.</p></dd>
 
 
-<dt>locationlog</dt>
+<dt id="arg-locationlog">locationlog<a class="anchor" aria-label="anchor" href="#arg-locationlog"></a></dt>
 <dd><p>location on the log scale parameter.</p></dd>
 
 
-<dt>locationlog1</dt>
+<dt id="arg-locationlog-">locationlog1<a class="anchor" aria-label="anchor" href="#arg-locationlog-"></a></dt>
 <dd><p>locationlog1 parameter.</p></dd>
 
 
-<dt>locationlog2</dt>
+<dt id="arg-locationlog-">locationlog2<a class="anchor" aria-label="anchor" href="#arg-locationlog-"></a></dt>
 <dd><p>locationlog2 parameter.</p></dd>
 
 
-<dt>log</dt>
+<dt id="arg-log">log<a class="anchor" aria-label="anchor" href="#arg-log"></a></dt>
 <dd><p>logical; if TRUE, probabilities p are given as log(p).</p></dd>
 
 
-<dt>log.p</dt>
+<dt id="arg-log-p">log.p<a class="anchor" aria-label="anchor" href="#arg-log-p"></a></dt>
 <dd><p>logical; if TRUE, probabilities p are given as log(p).</p></dd>
 
 
-<dt>lscale</dt>
+<dt id="arg-lscale">lscale<a class="anchor" aria-label="anchor" href="#arg-lscale"></a></dt>
 <dd><p>scale parameter on the log scale.</p></dd>
 
 
-<dt>lshape</dt>
+<dt id="arg-lshape">lshape<a class="anchor" aria-label="anchor" href="#arg-lshape"></a></dt>
 <dd><p>shape parameter on the log scale.</p></dd>
 
 
-<dt>lshape1</dt>
+<dt id="arg-lshape-">lshape1<a class="anchor" aria-label="anchor" href="#arg-lshape-"></a></dt>
 <dd><p>shape1 parameter on the log scale.</p></dd>
 
 
-<dt>lshape2</dt>
+<dt id="arg-lshape-">lshape2<a class="anchor" aria-label="anchor" href="#arg-lshape-"></a></dt>
 <dd><p>shape2 parameter on the log scale.</p></dd>
 
 
-<dt>lower.tail</dt>
+<dt id="arg-lower-tail">lower.tail<a class="anchor" aria-label="anchor" href="#arg-lower-tail"></a></dt>
 <dd><p>logical; if TRUE (default), probabilities are <code>P[X &lt;= x]</code>, otherwise, <code>P[X &gt; x]</code>.</p></dd>
 
 
-<dt>meanlog</dt>
+<dt id="arg-meanlog">meanlog<a class="anchor" aria-label="anchor" href="#arg-meanlog"></a></dt>
 <dd><p>mean on log scale parameter.</p></dd>
 
 
-<dt>meanlog1</dt>
+<dt id="arg-meanlog-">meanlog1<a class="anchor" aria-label="anchor" href="#arg-meanlog-"></a></dt>
 <dd><p>mean on log scale parameter.</p></dd>
 
 
-<dt>meanlog2</dt>
+<dt id="arg-meanlog-">meanlog2<a class="anchor" aria-label="anchor" href="#arg-meanlog-"></a></dt>
 <dd><p>mean on log scale parameter.</p></dd>
 
 
-<dt>min_pboot</dt>
+<dt id="arg-min-pboot">min_pboot<a class="anchor" aria-label="anchor" href="#arg-min-pboot"></a></dt>
 <dd><p>A number between 0 and 1 of the minimum
 proportion of bootstrap samples that must successfully fit (return a likelihood)
 to report the confidence intervals.</p></dd>
 
 
-<dt>min_pmix</dt>
+<dt id="arg-min-pmix">min_pmix<a class="anchor" aria-label="anchor" href="#arg-min-pmix"></a></dt>
 <dd><p>A number between 0 and 0.5 specifying the minimum proportion in mixture models.</p></dd>
 
 
-<dt>npars</dt>
+<dt id="arg-npars">npars<a class="anchor" aria-label="anchor" href="#arg-npars"></a></dt>
 <dd><p>A whole numeric vector specifying which distributions to include based on the number of parameters.</p></dd>
 
 
-<dt>all_estimates</dt>
+<dt id="arg-all-estimates">all_estimates<a class="anchor" aria-label="anchor" href="#arg-all-estimates"></a></dt>
 <dd><p>A flag specifying whether to calculate estimates for all implemented distributions.</p></dd>
 
 
-<dt>ci_method</dt>
+<dt id="arg-ci-method">ci_method<a class="anchor" aria-label="anchor" href="#arg-ci-method"></a></dt>
 <dd><p>A string specifying which method to use for estimating the bootstrap values.
 Possible values are "multi_free" and "multi_fixed" which treat the distributions as constituting a single distribution but differ in whether the model weights are fixed and "weighted_samples" and "weighted_arithmetic" take bootstrap samples from each distribution proportional to its weight versus calculating the weighted arithmetic means of the lower and upper confidence limits.</p></dd>
 
 
-<dt>multi_est</dt>
+<dt id="arg-multi-est">multi_est<a class="anchor" aria-label="anchor" href="#arg-multi-est"></a></dt>
 <dd><p>A flag specifying whether to treat the distributions as constituting a single distribution (as opposed to taking the mean) when calculating model averaged estimates.</p></dd>
 
 
-<dt>na.rm</dt>
+<dt id="arg-na-rm">na.rm<a class="anchor" aria-label="anchor" href="#arg-na-rm"></a></dt>
 <dd><p>A flag specifying whether to silently remove missing values or
 remove them with a warning.</p></dd>
 
 
-<dt>n</dt>
+<dt id="arg-n">n<a class="anchor" aria-label="anchor" href="#arg-n"></a></dt>
 <dd><p>positive number of observations.</p></dd>
 
 
-<dt>nboot</dt>
+<dt id="arg-nboot">nboot<a class="anchor" aria-label="anchor" href="#arg-nboot"></a></dt>
 <dd><p>A count of the number of bootstrap samples to use to estimate the confidence limits. A value of 10,000 is recommended for official guidelines.</p></dd>
 
 
-<dt>nrow</dt>
+<dt id="arg-nrow">nrow<a class="anchor" aria-label="anchor" href="#arg-nrow"></a></dt>
 <dd><p>A positive whole number of the minimum number of non-missing rows.</p></dd>
 
 
-<dt>nsim</dt>
+<dt id="arg-nsim">nsim<a class="anchor" aria-label="anchor" href="#arg-nsim"></a></dt>
 <dd><p>A positive whole number of the number of simulations to generate.</p></dd>
 
 
-<dt>object</dt>
+<dt id="arg-object">object<a class="anchor" aria-label="anchor" href="#arg-object"></a></dt>
 <dd><p>The object.</p></dd>
 
 
-<dt>parametric</dt>
+<dt id="arg-parametric">parametric<a class="anchor" aria-label="anchor" href="#arg-parametric"></a></dt>
 <dd><p>A flag specifying whether to perform parametric bootstrapping as opposed to non-parametrically resampling the original data with replacement.</p></dd>
 
 
-<dt>p</dt>
+<dt id="arg-p">p<a class="anchor" aria-label="anchor" href="#arg-p"></a></dt>
 <dd><p>vector of probabilities.</p></dd>
 
 
-<dt>percent</dt>
+<dt id="arg-percent">percent<a class="anchor" aria-label="anchor" href="#arg-percent"></a></dt>
 <dd><p>A numeric vector of percent values to estimate hazard concentrations for. Soft-deprecated for <code>proportion = 0.05</code>.</p></dd>
 
 
-<dt>pmix</dt>
+<dt id="arg-pmix">pmix<a class="anchor" aria-label="anchor" href="#arg-pmix"></a></dt>
 <dd><p>Proportion mixture parameter.</p></dd>
 
 
-<dt>proportion</dt>
+<dt id="arg-proportion">proportion<a class="anchor" aria-label="anchor" href="#arg-proportion"></a></dt>
 <dd><p>A numeric vector of proportion values to estimate hazard concentrations for.</p></dd>
 
 
-<dt>pvalue</dt>
+<dt id="arg-pvalue">pvalue<a class="anchor" aria-label="anchor" href="#arg-pvalue"></a></dt>
 <dd><p>A flag specifying whether to return p-values or the statistics (default) for the various tests.</p></dd>
 
 
-<dt>pred</dt>
+<dt id="arg-pred">pred<a class="anchor" aria-label="anchor" href="#arg-pred"></a></dt>
 <dd><p>A data frame of the predictions.</p></dd>
 
 
-<dt>q</dt>
+<dt id="arg-q">q<a class="anchor" aria-label="anchor" href="#arg-q"></a></dt>
 <dd><p>vector of quantiles.</p></dd>
 
 
-<dt>range_shape1</dt>
+<dt id="arg-range-shape-">range_shape1<a class="anchor" aria-label="anchor" href="#arg-range-shape-"></a></dt>
 <dd><p>A numeric vector of length two of the lower and upper bounds for the shape1 parameter.</p></dd>
 
 
-<dt>range_shape2</dt>
+<dt id="arg-range-shape-">range_shape2<a class="anchor" aria-label="anchor" href="#arg-range-shape-"></a></dt>
 <dd><p>shape2 parameter.</p></dd>
 
 
-<dt>reweight</dt>
+<dt id="arg-reweight">reweight<a class="anchor" aria-label="anchor" href="#arg-reweight"></a></dt>
 <dd><p>A flag specifying whether to reweight weights by dividing by the largest weight.</p></dd>
 
 
-<dt>rescale</dt>
+<dt id="arg-rescale">rescale<a class="anchor" aria-label="anchor" href="#arg-rescale"></a></dt>
 <dd><p>A flag specifying whether to rescale concentration values by dividing by the geometric mean of the minimum and maximum positive finite values.</p></dd>
 
 
-<dt>ribbon</dt>
+<dt id="arg-ribbon">ribbon<a class="anchor" aria-label="anchor" href="#arg-ribbon"></a></dt>
 <dd><p>A flag indicating whether to plot the confidence interval as a grey ribbon as opposed to green solid lines.</p></dd>
 
 
-<dt>right</dt>
+<dt id="arg-right">right<a class="anchor" aria-label="anchor" href="#arg-right"></a></dt>
 <dd><p>A string of the column in data with the right concentration values.</p></dd>
 
 
-<dt>save_to</dt>
+<dt id="arg-save-to">save_to<a class="anchor" aria-label="anchor" href="#arg-save-to"></a></dt>
 <dd><p>NULL or a string specifying a directory to save where the bootstrap datasets and parameter estimates (when successfully converged) to.</p></dd>
 
 
-<dt>samples</dt>
+<dt id="arg-samples">samples<a class="anchor" aria-label="anchor" href="#arg-samples"></a></dt>
 <dd><p>A flag specfying whether to include a numeric vector of the bootstrap samples as a list column in the output.</p></dd>
 
 
-<dt>scale</dt>
+<dt id="arg-scale">scale<a class="anchor" aria-label="anchor" href="#arg-scale"></a></dt>
 <dd><p>scale parameter.</p></dd>
 
 
-<dt>scalelog1</dt>
+<dt id="arg-scalelog-">scalelog1<a class="anchor" aria-label="anchor" href="#arg-scalelog-"></a></dt>
 <dd><p>scalelog1 parameter.</p></dd>
 
 
-<dt>scalelog2</dt>
+<dt id="arg-scalelog-">scalelog2<a class="anchor" aria-label="anchor" href="#arg-scalelog-"></a></dt>
 <dd><p>scalelog2 parameter.</p></dd>
 
 
-<dt>scalelog</dt>
+<dt id="arg-scalelog">scalelog<a class="anchor" aria-label="anchor" href="#arg-scalelog"></a></dt>
 <dd><p>scale on log scale parameter.</p></dd>
 
 
-<dt>sdlog</dt>
+<dt id="arg-sdlog">sdlog<a class="anchor" aria-label="anchor" href="#arg-sdlog"></a></dt>
 <dd><p>standard deviation on log scale parameter.</p></dd>
 
 
-<dt>sdlog1</dt>
+<dt id="arg-sdlog-">sdlog1<a class="anchor" aria-label="anchor" href="#arg-sdlog-"></a></dt>
 <dd><p>standard deviation on log scale parameter.</p></dd>
 
 
-<dt>sdlog2</dt>
+<dt id="arg-sdlog-">sdlog2<a class="anchor" aria-label="anchor" href="#arg-sdlog-"></a></dt>
 <dd><p>standard deviation on log scale parameter.</p></dd>
 
 
-<dt>select</dt>
+<dt id="arg-select">select<a class="anchor" aria-label="anchor" href="#arg-select"></a></dt>
 <dd><p>A character vector of the distributions to select.</p></dd>
 
 
-<dt>shape</dt>
+<dt id="arg-shape">shape<a class="anchor" aria-label="anchor" href="#arg-shape"></a></dt>
 <dd><p>shape parameter.</p></dd>
 
 
-<dt>shape1</dt>
+<dt id="arg-shape-">shape1<a class="anchor" aria-label="anchor" href="#arg-shape-"></a></dt>
 <dd><p>shape1 parameter.</p></dd>
 
 
-<dt>shape2</dt>
+<dt id="arg-shape-">shape2<a class="anchor" aria-label="anchor" href="#arg-shape-"></a></dt>
 <dd><p>shape2 parameter.</p></dd>
 
 
-<dt>shift_x</dt>
+<dt id="arg-shift-x">shift_x<a class="anchor" aria-label="anchor" href="#arg-shift-x"></a></dt>
 <dd><p>The value to multiply the label x values by (after adding <code>add_x</code>).</p></dd>
 
 
-<dt>silent</dt>
+<dt id="arg-silent">silent<a class="anchor" aria-label="anchor" href="#arg-silent"></a></dt>
 <dd><p>A flag indicating whether fits should fail silently.</p></dd>
 
 
-<dt>size</dt>
+<dt id="arg-size">size<a class="anchor" aria-label="anchor" href="#arg-size"></a></dt>
 <dd><p>A number for the size of the labels.</p></dd>
 
 
-<dt>tails</dt>
+<dt id="arg-suffix">suffix<a class="anchor" aria-label="anchor" href="#arg-suffix"></a></dt>
+<dd><p>Additional text to display after the number on the y-axis.</p></dd>
+
+
+<dt id="arg-tails">tails<a class="anchor" aria-label="anchor" href="#arg-tails"></a></dt>
 <dd><p>A flag or NULL specifying whether to only include distributions with both tails.</p></dd>
 
 
-<dt>trans</dt>
+<dt id="arg-trans">trans<a class="anchor" aria-label="anchor" href="#arg-trans"></a></dt>
 <dd><p>A string which transformation to use by default <code>"log10"</code>.</p></dd>
 
 
-<dt>weight</dt>
+<dt id="arg-weight">weight<a class="anchor" aria-label="anchor" href="#arg-weight"></a></dt>
 <dd><p>A string of the numeric column in data with positive weights less than or equal to 1,000 or NULL.</p></dd>
 
 
-<dt>x</dt>
+<dt id="arg-x">x<a class="anchor" aria-label="anchor" href="#arg-x"></a></dt>
 <dd><p>The object.</p></dd>
 
 
-<dt>xbreaks</dt>
+<dt id="arg-xbreaks">xbreaks<a class="anchor" aria-label="anchor" href="#arg-xbreaks"></a></dt>
 <dd><p>The x-axis breaks as one of:</p><ul><li><p><code>NULL</code> for no breaks</p></li>
 <li><p><code><a href="https://ggplot2.tidyverse.org/reference/waiver.html" class="external-link">waiver()</a></code> for the default breaks</p></li>
 <li><p>A numeric vector of positions</p></li>
 </ul></dd>
 
 
-<dt>xintercept</dt>
+<dt id="arg-xintercept">xintercept<a class="anchor" aria-label="anchor" href="#arg-xintercept"></a></dt>
 <dd><p>The x-value for the intersect</p></dd>
 
 
-<dt>xlab</dt>
+<dt id="arg-xlab">xlab<a class="anchor" aria-label="anchor" href="#arg-xlab"></a></dt>
 <dd><p>A string of the x-axis label.</p></dd>
 
 
-<dt>yintercept</dt>
+<dt id="arg-yintercept">yintercept<a class="anchor" aria-label="anchor" href="#arg-yintercept"></a></dt>
 <dd><p>The y-value for the intersect.</p></dd>
 
 
-<dt>ylab</dt>
+<dt id="arg-ylab">ylab<a class="anchor" aria-label="anchor" href="#arg-ylab"></a></dt>
 <dd><p>A string of the x-axis label.</p></dd>
 
 
-<dt>burrIII3.weight</dt>
+<dt id="arg-burriii-weight">burrIII3.weight<a class="anchor" aria-label="anchor" href="#arg-burriii-weight"></a></dt>
 <dd><p>weight parameter for the Burr III distribution.</p></dd>
 
 
-<dt>burrIII3.shape1</dt>
+<dt id="arg-burriii-shape-">burrIII3.shape1<a class="anchor" aria-label="anchor" href="#arg-burriii-shape-"></a></dt>
 <dd><p>shape1 parameter for the Burr III distribution.</p></dd>
 
 
-<dt>burrIII3.shape2</dt>
+<dt id="arg-burriii-shape-">burrIII3.shape2<a class="anchor" aria-label="anchor" href="#arg-burriii-shape-"></a></dt>
 <dd><p>shape2 parameter for the Burr III distribution.</p></dd>
 
 
-<dt>burrIII3.scale</dt>
+<dt id="arg-burriii-scale">burrIII3.scale<a class="anchor" aria-label="anchor" href="#arg-burriii-scale"></a></dt>
 <dd><p>scale parameter for the Burr III distribution.</p></dd>
 
 
-<dt>gamma.weight</dt>
+<dt id="arg-gamma-weight">gamma.weight<a class="anchor" aria-label="anchor" href="#arg-gamma-weight"></a></dt>
 <dd><p>weight parameter for the gamma distribution.</p></dd>
 
 
-<dt>gamma.shape</dt>
+<dt id="arg-gamma-shape">gamma.shape<a class="anchor" aria-label="anchor" href="#arg-gamma-shape"></a></dt>
 <dd><p>shape parameter for the gamma distribution.</p></dd>
 
 
-<dt>gamma.scale</dt>
+<dt id="arg-gamma-scale">gamma.scale<a class="anchor" aria-label="anchor" href="#arg-gamma-scale"></a></dt>
 <dd><p>scale parameter for the gamma distribution.</p></dd>
 
 
-<dt>gompertz.weight</dt>
+<dt id="arg-gompertz-weight">gompertz.weight<a class="anchor" aria-label="anchor" href="#arg-gompertz-weight"></a></dt>
 <dd><p>weight parameter for the Gompertz distribution.</p></dd>
 
 
-<dt>gompertz.location</dt>
+<dt id="arg-gompertz-location">gompertz.location<a class="anchor" aria-label="anchor" href="#arg-gompertz-location"></a></dt>
 <dd><p>location parameter for the Gompertz distribution.</p></dd>
 
 
-<dt>gompertz.shape</dt>
+<dt id="arg-gompertz-shape">gompertz.shape<a class="anchor" aria-label="anchor" href="#arg-gompertz-shape"></a></dt>
 <dd><p>shape parameter for the Gompertz distribution.</p></dd>
 
 
-<dt>invpareto.weight</dt>
+<dt id="arg-invpareto-weight">invpareto.weight<a class="anchor" aria-label="anchor" href="#arg-invpareto-weight"></a></dt>
 <dd><p>weight parameter for the inverse Pareto distribution.</p></dd>
 
 
-<dt>invpareto.shape</dt>
+<dt id="arg-invpareto-shape">invpareto.shape<a class="anchor" aria-label="anchor" href="#arg-invpareto-shape"></a></dt>
 <dd><p>shape parameter for the inverse Pareto distribution.</p></dd>
 
 
-<dt>invpareto.scale</dt>
+<dt id="arg-invpareto-scale">invpareto.scale<a class="anchor" aria-label="anchor" href="#arg-invpareto-scale"></a></dt>
 <dd><p>scale parameter for the inverse Pareto distribution.</p></dd>
 
 
-<dt>lgumbel.weight</dt>
+<dt id="arg-lgumbel-weight">lgumbel.weight<a class="anchor" aria-label="anchor" href="#arg-lgumbel-weight"></a></dt>
 <dd><p>weight parameter for the log-Gumbel distribution.</p></dd>
 
 
-<dt>lgumbel.locationlog</dt>
+<dt id="arg-lgumbel-locationlog">lgumbel.locationlog<a class="anchor" aria-label="anchor" href="#arg-lgumbel-locationlog"></a></dt>
 <dd><p>location parameter for the log-Gumbel distribution.</p></dd>
 
 
-<dt>lgumbel.scalelog</dt>
+<dt id="arg-lgumbel-scalelog">lgumbel.scalelog<a class="anchor" aria-label="anchor" href="#arg-lgumbel-scalelog"></a></dt>
 <dd><p>scale parameter for the log-Gumbel distribution.</p></dd>
 
 
-<dt>llogis.weight</dt>
+<dt id="arg-llogis-weight">llogis.weight<a class="anchor" aria-label="anchor" href="#arg-llogis-weight"></a></dt>
 <dd><p>weight parameter for the log-logistic distribution.</p></dd>
 
 
-<dt>llogis.locationlog</dt>
+<dt id="arg-llogis-locationlog">llogis.locationlog<a class="anchor" aria-label="anchor" href="#arg-llogis-locationlog"></a></dt>
 <dd><p>location parameter for the log-logistic distribution.</p></dd>
 
 
-<dt>llogis.scalelog</dt>
+<dt id="arg-llogis-scalelog">llogis.scalelog<a class="anchor" aria-label="anchor" href="#arg-llogis-scalelog"></a></dt>
 <dd><p>scale parameter for the log-logistic distribution.</p></dd>
 
 
-<dt>llogis_llogis.weight</dt>
+<dt id="arg-llogis-llogis-weight">llogis_llogis.weight<a class="anchor" aria-label="anchor" href="#arg-llogis-llogis-weight"></a></dt>
 <dd><p>weight parameter for the log-logistic log-logistic mixture distribution.</p></dd>
 
 
-<dt>llogis_llogis.locationlog1</dt>
+<dt id="arg-llogis-llogis-locationlog-">llogis_llogis.locationlog1<a class="anchor" aria-label="anchor" href="#arg-llogis-llogis-locationlog-"></a></dt>
 <dd><p>locationlog1 parameter for the log-logistic log-logistic mixture distribution.</p></dd>
 
 
-<dt>llogis_llogis.scalelog1</dt>
+<dt id="arg-llogis-llogis-scalelog-">llogis_llogis.scalelog1<a class="anchor" aria-label="anchor" href="#arg-llogis-llogis-scalelog-"></a></dt>
 <dd><p>scalelog1 parameter for the log-logistic log-logistic mixture distribution.</p></dd>
 
 
-<dt>llogis_llogis.locationlog2</dt>
+<dt id="arg-llogis-llogis-locationlog-">llogis_llogis.locationlog2<a class="anchor" aria-label="anchor" href="#arg-llogis-llogis-locationlog-"></a></dt>
 <dd><p>locationlog2 parameter for the log-logistic log-logistic mixture distribution.</p></dd>
 
 
-<dt>llogis_llogis.scalelog2</dt>
+<dt id="arg-llogis-llogis-scalelog-">llogis_llogis.scalelog2<a class="anchor" aria-label="anchor" href="#arg-llogis-llogis-scalelog-"></a></dt>
 <dd><p>scalelog2 parameter for the log-logistic log-logistic mixture distribution.</p></dd>
 
 
-<dt>llogis_llogis.pmix</dt>
+<dt id="arg-llogis-llogis-pmix">llogis_llogis.pmix<a class="anchor" aria-label="anchor" href="#arg-llogis-llogis-pmix"></a></dt>
 <dd><p>pmix parameter for the log-logistic log-logistic mixture distribution.</p></dd>
 
 
-<dt>lnorm.weight</dt>
+<dt id="arg-lnorm-weight">lnorm.weight<a class="anchor" aria-label="anchor" href="#arg-lnorm-weight"></a></dt>
 <dd><p>weight parameter for the log-normal distribution.</p></dd>
 
 
-<dt>lnorm.meanlog</dt>
+<dt id="arg-lnorm-meanlog">lnorm.meanlog<a class="anchor" aria-label="anchor" href="#arg-lnorm-meanlog"></a></dt>
 <dd><p>meanlog parameter for the log-normal distribution.</p></dd>
 
 
-<dt>lnorm.sdlog</dt>
+<dt id="arg-lnorm-sdlog">lnorm.sdlog<a class="anchor" aria-label="anchor" href="#arg-lnorm-sdlog"></a></dt>
 <dd><p>sdlog parameter for the log-normal distribution.</p></dd>
 
 
-<dt>lnorm_lnorm.weight</dt>
+<dt id="arg-lnorm-lnorm-weight">lnorm_lnorm.weight<a class="anchor" aria-label="anchor" href="#arg-lnorm-lnorm-weight"></a></dt>
 <dd><p>weight parameter for the log-normal log-normal mixture distribution.</p></dd>
 
 
-<dt>lnorm_lnorm.meanlog1</dt>
+<dt id="arg-lnorm-lnorm-meanlog-">lnorm_lnorm.meanlog1<a class="anchor" aria-label="anchor" href="#arg-lnorm-lnorm-meanlog-"></a></dt>
 <dd><p>meanlog1 parameter for the log-normal log-normal mixture distribution.</p></dd>
 
 
-<dt>lnorm_lnorm.sdlog1</dt>
+<dt id="arg-lnorm-lnorm-sdlog-">lnorm_lnorm.sdlog1<a class="anchor" aria-label="anchor" href="#arg-lnorm-lnorm-sdlog-"></a></dt>
 <dd><p>sdlog1 parameter for the log-normal log-normal mixture distribution.</p></dd>
 
 
-<dt>lnorm_lnorm.meanlog2</dt>
+<dt id="arg-lnorm-lnorm-meanlog-">lnorm_lnorm.meanlog2<a class="anchor" aria-label="anchor" href="#arg-lnorm-lnorm-meanlog-"></a></dt>
 <dd><p>meanlog2 parameter for the log-normal log-normal mixture distribution.</p></dd>
 
 
-<dt>lnorm_lnorm.sdlog2</dt>
+<dt id="arg-lnorm-lnorm-sdlog-">lnorm_lnorm.sdlog2<a class="anchor" aria-label="anchor" href="#arg-lnorm-lnorm-sdlog-"></a></dt>
 <dd><p>sdlog2 parameter for the log-normal log-normal mixture distribution.</p></dd>
 
 
-<dt>lnorm_lnorm.pmix</dt>
+<dt id="arg-lnorm-lnorm-pmix">lnorm_lnorm.pmix<a class="anchor" aria-label="anchor" href="#arg-lnorm-lnorm-pmix"></a></dt>
 <dd><p>pmix parameter for the log-normal log-normal mixture distribution.</p></dd>
 
 
-<dt>weibull.weight</dt>
+<dt id="arg-weibull-weight">weibull.weight<a class="anchor" aria-label="anchor" href="#arg-weibull-weight"></a></dt>
 <dd><p>weight parameter for the Weibull distribution.</p></dd>
 
 
-<dt>weibull.shape</dt>
+<dt id="arg-weibull-shape">weibull.shape<a class="anchor" aria-label="anchor" href="#arg-weibull-shape"></a></dt>
 <dd><p>shape parameter for the Weibull distribution.</p></dd>
 
 
-<dt>weibull.scale</dt>
+<dt id="arg-weibull-scale">weibull.scale<a class="anchor" aria-label="anchor" href="#arg-weibull-scale"></a></dt>
 <dd><p>scale parameter for the Weibull distribution.</p></dd>
 
-
-<dt>...</dt>
-<dd><p>Unused.</p></dd>
-
 </dl></div>
 
   </main></div>
@@ -590,14 +587,14 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/pgompertz.html b/reference/pgompertz.html
index b89d8e57..b0af64df 100644
--- a/reference/pgompertz.html
+++ b/reference/pgompertz.html
@@ -1,55 +1,38 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Cumulative Distribution Function for Gompertz Distribution
-"><title>Cumulative Distribution Function for Gompertz Distribution  — pgompertz • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Cumulative Distribution Function for Gompertz Distribution  — pgompertz"><meta property="og:description" content="Cumulative Distribution Function for Gompertz Distribution
-"><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Cumulative Distribution Function for Gompertz Distribution  — pgompertz • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Cumulative Distribution Function for Gompertz Distribution  — pgompertz"><meta name="description" content="Cumulative Distribution Function for Gompertz Distribution
+"><meta property="og:description" content="Cumulative Distribution Function for Gompertz Distribution
+"><meta property="og:image" content="/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/ssdtools.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../articles/index.html">Articles</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/ssdtools.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Cumulative Distribution Function for Gompertz Distribution <a href="https://lifecycle.r-lib.org/articles/stages.html#deprecated" class="external-link"><img src="figures/lifecycle-deprecated.svg" alt="[Deprecated]"></a></h1>
-      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/HEAD/R/gompertz.R" class="external-link"><code>R/gompertz.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/main/R/gompertz.R" class="external-link"><code>R/gompertz.R</code></a></small>
       <div class="d-none name"><code>pgompertz.Rd</code></div>
     </div>
 
@@ -65,28 +48,30 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>q</dt>
+
+
+<dl><dt id="arg-q">q<a class="anchor" aria-label="anchor" href="#arg-q"></a></dt>
 <dd><p>vector of quantiles.</p></dd>
 
 
-<dt>llocation</dt>
+<dt id="arg-llocation">llocation<a class="anchor" aria-label="anchor" href="#arg-llocation"></a></dt>
 <dd><p>location parameter on the log scale.</p></dd>
 
 
-<dt>lshape</dt>
+<dt id="arg-lshape">lshape<a class="anchor" aria-label="anchor" href="#arg-lshape"></a></dt>
 <dd><p>shape parameter on the log scale.</p></dd>
 
 
-<dt>lower.tail</dt>
+<dt id="arg-lower-tail">lower.tail<a class="anchor" aria-label="anchor" href="#arg-lower-tail"></a></dt>
 <dd><p>logical; if TRUE (default), probabilities are <code>P[X &lt;= x]</code>, otherwise, <code>P[X &gt; x]</code>.</p></dd>
 
 
-<dt>log.p</dt>
+<dt id="arg-log-p">log.p<a class="anchor" aria-label="anchor" href="#arg-log-p"></a></dt>
 <dd><p>logical; if TRUE, probabilities p are given as log(p).</p></dd>
 
 </dl></div>
 
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -95,14 +80,14 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/plgumbel.html b/reference/plgumbel.html
index 72cfa407..f73fdc78 100644
--- a/reference/plgumbel.html
+++ b/reference/plgumbel.html
@@ -1,55 +1,38 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Cumulative Distribution Function for Log-Gumbel Distribution
-"><title>Cumulative Distribution Function for Log-Gumbel Distribution  — plgumbel • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Cumulative Distribution Function for Log-Gumbel Distribution  — plgumbel"><meta property="og:description" content="Cumulative Distribution Function for Log-Gumbel Distribution
-"><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Cumulative Distribution Function for Log-Gumbel Distribution  — plgumbel • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Cumulative Distribution Function for Log-Gumbel Distribution  — plgumbel"><meta name="description" content="Cumulative Distribution Function for Log-Gumbel Distribution
+"><meta property="og:description" content="Cumulative Distribution Function for Log-Gumbel Distribution
+"><meta property="og:image" content="/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/ssdtools.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../articles/index.html">Articles</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/ssdtools.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Cumulative Distribution Function for Log-Gumbel Distribution <a href="https://lifecycle.r-lib.org/articles/stages.html#deprecated" class="external-link"><img src="figures/lifecycle-deprecated.svg" alt="[Deprecated]"></a></h1>
-      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/HEAD/R/lgumbel.R" class="external-link"><code>R/lgumbel.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/main/R/lgumbel.R" class="external-link"><code>R/lgumbel.R</code></a></small>
       <div class="d-none name"><code>plgumbel.Rd</code></div>
     </div>
 
@@ -65,28 +48,30 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>q</dt>
+
+
+<dl><dt id="arg-q">q<a class="anchor" aria-label="anchor" href="#arg-q"></a></dt>
 <dd><p>vector of quantiles.</p></dd>
 
 
-<dt>locationlog</dt>
+<dt id="arg-locationlog">locationlog<a class="anchor" aria-label="anchor" href="#arg-locationlog"></a></dt>
 <dd><p>location on the log scale parameter.</p></dd>
 
 
-<dt>scalelog</dt>
+<dt id="arg-scalelog">scalelog<a class="anchor" aria-label="anchor" href="#arg-scalelog"></a></dt>
 <dd><p>scale on log scale parameter.</p></dd>
 
 
-<dt>lower.tail</dt>
+<dt id="arg-lower-tail">lower.tail<a class="anchor" aria-label="anchor" href="#arg-lower-tail"></a></dt>
 <dd><p>logical; if TRUE (default), probabilities are <code>P[X &lt;= x]</code>, otherwise, <code>P[X &gt; x]</code>.</p></dd>
 
 
-<dt>log.p</dt>
+<dt id="arg-log-p">log.p<a class="anchor" aria-label="anchor" href="#arg-log-p"></a></dt>
 <dd><p>logical; if TRUE, probabilities p are given as log(p).</p></dd>
 
 </dl></div>
 
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -95,14 +80,14 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/predict.fitburrlioz.html b/reference/predict.fitburrlioz.html
index fe7be1ba..6fa1a4e5 100644
--- a/reference/predict.fitburrlioz.html
+++ b/reference/predict.fitburrlioz.html
@@ -1,55 +1,38 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="A wrapper on ssd_hc() that by default calculates
-all hazard concentrations from 1 to 99%."><title>Predict Hazard Concentrations of fitburrlioz Object — predict.fitburrlioz • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Predict Hazard Concentrations of fitburrlioz Object — predict.fitburrlioz"><meta property="og:description" content="A wrapper on ssd_hc() that by default calculates
-all hazard concentrations from 1 to 99%."><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Predict Hazard Concentrations of fitburrlioz Object — predict.fitburrlioz • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Predict Hazard Concentrations of fitburrlioz Object — predict.fitburrlioz"><meta name="description" content="A wrapper on ssd_hc() that by default calculates
+all hazard concentrations from 1 to 99%."><meta property="og:description" content="A wrapper on ssd_hc() that by default calculates
+all hazard concentrations from 1 to 99%."><meta property="og:image" content="/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/ssdtools.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../articles/index.html">Articles</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/ssdtools.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Predict Hazard Concentrations of fitburrlioz Object</h1>
-      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/HEAD/R/predict.R" class="external-link"><code>R/predict.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/main/R/predict.R" class="external-link"><code>R/predict.R</code></a></small>
       <div class="d-none name"><code>predict.fitburrlioz.Rd</code></div>
     </div>
 
@@ -60,7 +43,7 @@
 
     <div class="section level2">
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="co"># S3 method for fitburrlioz</span></span>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="co"># S3 method for class 'fitburrlioz'</span></span>
 <span><span class="fu"><a href="https://rdrr.io/r/stats/predict.html" class="external-link">predict</a></span><span class="op">(</span></span>
 <span>  <span class="va">object</span>,</span>
 <span>  <span class="va">percent</span>,</span>
@@ -76,41 +59,43 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>object</dt>
+
+
+<dl><dt id="arg-object">object<a class="anchor" aria-label="anchor" href="#arg-object"></a></dt>
 <dd><p>The object.</p></dd>
 
 
-<dt>percent</dt>
+<dt id="arg-percent">percent<a class="anchor" aria-label="anchor" href="#arg-percent"></a></dt>
 <dd><p>A numeric vector of percent values to estimate hazard concentrations for. Soft-deprecated for <code>proportion = 0.05</code>.</p></dd>
 
 
-<dt>proportion</dt>
+<dt id="arg-proportion">proportion<a class="anchor" aria-label="anchor" href="#arg-proportion"></a></dt>
 <dd><p>A numeric vector of proportion values to estimate hazard concentrations for.</p></dd>
 
 
-<dt>ci</dt>
+<dt id="arg-ci">ci<a class="anchor" aria-label="anchor" href="#arg-ci"></a></dt>
 <dd><p>A flag specifying whether to estimate confidence intervals (by bootstrapping).</p></dd>
 
 
-<dt>level</dt>
+<dt id="arg-level">level<a class="anchor" aria-label="anchor" href="#arg-level"></a></dt>
 <dd><p>A number between 0 and 1 of the confidence level of the interval.</p></dd>
 
 
-<dt>nboot</dt>
+<dt id="arg-nboot">nboot<a class="anchor" aria-label="anchor" href="#arg-nboot"></a></dt>
 <dd><p>A count of the number of bootstrap samples to use to estimate the confidence limits. A value of 10,000 is recommended for official guidelines.</p></dd>
 
 
-<dt>min_pboot</dt>
+<dt id="arg-min-pboot">min_pboot<a class="anchor" aria-label="anchor" href="#arg-min-pboot"></a></dt>
 <dd><p>A number between 0 and 1 of the minimum
 proportion of bootstrap samples that must successfully fit (return a likelihood)
 to report the confidence intervals.</p></dd>
 
 
-<dt>parametric</dt>
+<dt id="arg-parametric">parametric<a class="anchor" aria-label="anchor" href="#arg-parametric"></a></dt>
 <dd><p>A flag specifying whether to perform parametric bootstrapping as opposed to non-parametrically resampling the original data with replacement.</p></dd>
 
 
-<dt>...</dt>
+<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
 <dd><p>Unused.</p></dd>
 
 </dl></div>
@@ -143,7 +128,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 89 more rows</span></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -152,14 +137,14 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/predict.fitdists.html b/reference/predict.fitdists.html
index 990fb683..0170acb9 100644
--- a/reference/predict.fitdists.html
+++ b/reference/predict.fitdists.html
@@ -1,55 +1,38 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="A wrapper on ssd_hc() that by default calculates
-all hazard concentrations from 1 to 99%."><title>Predict Hazard Concentrations of fitdists Object — predict.fitdists • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Predict Hazard Concentrations of fitdists Object — predict.fitdists"><meta property="og:description" content="A wrapper on ssd_hc() that by default calculates
-all hazard concentrations from 1 to 99%."><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Predict Hazard Concentrations of fitdists Object — predict.fitdists • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Predict Hazard Concentrations of fitdists Object — predict.fitdists"><meta name="description" content="A wrapper on ssd_hc() that by default calculates
+all hazard concentrations from 1 to 99%."><meta property="og:description" content="A wrapper on ssd_hc() that by default calculates
+all hazard concentrations from 1 to 99%."><meta property="og:image" content="/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/ssdtools.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../articles/index.html">Articles</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/ssdtools.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Predict Hazard Concentrations of fitdists Object</h1>
-      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/HEAD/R/predict.R" class="external-link"><code>R/predict.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/main/R/predict.R" class="external-link"><code>R/predict.R</code></a></small>
       <div class="d-none name"><code>predict.fitdists.Rd</code></div>
     </div>
 
@@ -60,7 +43,7 @@
 
     <div class="section level2">
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="co"># S3 method for fitdists</span></span>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="co"># S3 method for class 'fitdists'</span></span>
 <span><span class="fu"><a href="https://rdrr.io/r/stats/predict.html" class="external-link">predict</a></span><span class="op">(</span></span>
 <span>  <span class="va">object</span>,</span>
 <span>  <span class="va">percent</span>,</span>
@@ -81,63 +64,65 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>object</dt>
+
+
+<dl><dt id="arg-object">object<a class="anchor" aria-label="anchor" href="#arg-object"></a></dt>
 <dd><p>The object.</p></dd>
 
 
-<dt>percent</dt>
+<dt id="arg-percent">percent<a class="anchor" aria-label="anchor" href="#arg-percent"></a></dt>
 <dd><p>A numeric vector of percent values to estimate hazard concentrations for. Soft-deprecated for <code>proportion = 0.05</code>.</p></dd>
 
 
-<dt>proportion</dt>
+<dt id="arg-proportion">proportion<a class="anchor" aria-label="anchor" href="#arg-proportion"></a></dt>
 <dd><p>A numeric vector of proportion values to estimate hazard concentrations for.</p></dd>
 
 
-<dt>average</dt>
+<dt id="arg-average">average<a class="anchor" aria-label="anchor" href="#arg-average"></a></dt>
 <dd><p>A flag specifying whether to provide model averaged values as opposed to a value for each distribution.</p></dd>
 
 
-<dt>ci</dt>
+<dt id="arg-ci">ci<a class="anchor" aria-label="anchor" href="#arg-ci"></a></dt>
 <dd><p>A flag specifying whether to estimate confidence intervals (by bootstrapping).</p></dd>
 
 
-<dt>level</dt>
+<dt id="arg-level">level<a class="anchor" aria-label="anchor" href="#arg-level"></a></dt>
 <dd><p>A number between 0 and 1 of the confidence level of the interval.</p></dd>
 
 
-<dt>nboot</dt>
+<dt id="arg-nboot">nboot<a class="anchor" aria-label="anchor" href="#arg-nboot"></a></dt>
 <dd><p>A count of the number of bootstrap samples to use to estimate the confidence limits. A value of 10,000 is recommended for official guidelines.</p></dd>
 
 
-<dt>min_pboot</dt>
+<dt id="arg-min-pboot">min_pboot<a class="anchor" aria-label="anchor" href="#arg-min-pboot"></a></dt>
 <dd><p>A number between 0 and 1 of the minimum
 proportion of bootstrap samples that must successfully fit (return a likelihood)
 to report the confidence intervals.</p></dd>
 
 
-<dt>multi_est</dt>
+<dt id="arg-multi-est">multi_est<a class="anchor" aria-label="anchor" href="#arg-multi-est"></a></dt>
 <dd><p>A flag specifying whether to treat the distributions as constituting a single distribution (as opposed to taking the mean) when calculating model averaged estimates.</p></dd>
 
 
-<dt>ci_method</dt>
+<dt id="arg-ci-method">ci_method<a class="anchor" aria-label="anchor" href="#arg-ci-method"></a></dt>
 <dd><p>A string specifying which method to use for estimating the bootstrap values.
 Possible values are "multi_free" and "multi_fixed" which treat the distributions as constituting a single distribution but differ in whether the model weights are fixed and "weighted_samples" and "weighted_arithmetic" take bootstrap samples from each distribution proportional to its weight versus calculating the weighted arithmetic means of the lower and upper confidence limits.</p></dd>
 
 
-<dt>parametric</dt>
+<dt id="arg-parametric">parametric<a class="anchor" aria-label="anchor" href="#arg-parametric"></a></dt>
 <dd><p>A flag specifying whether to perform parametric bootstrapping as opposed to non-parametrically resampling the original data with replacement.</p></dd>
 
 
-<dt>delta</dt>
+<dt id="arg-delta">delta<a class="anchor" aria-label="anchor" href="#arg-delta"></a></dt>
 <dd><p>A non-negative number specifying the maximum absolute AIC difference cutoff.
 Distributions with an absolute AIC difference greater than delta are excluded from the calculations.</p></dd>
 
 
-<dt>control</dt>
+<dt id="arg-control">control<a class="anchor" aria-label="anchor" href="#arg-control"></a></dt>
 <dd><p>A list of control parameters passed to <code><a href="https://rdrr.io/r/stats/optim.html" class="external-link">stats::optim()</a></code>.</p></dd>
 
 
-<dt>...</dt>
+<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
 <dd><p>Unused.</p></dd>
 
 </dl></div>
@@ -170,7 +155,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 89 more rows</span></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -179,14 +164,14 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/qgompertz.html b/reference/qgompertz.html
index 93d1431a..647b5684 100644
--- a/reference/qgompertz.html
+++ b/reference/qgompertz.html
@@ -1,55 +1,38 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Quantile Function for Gompertz Distribution
-"><title>Quantile Function for Gompertz Distribution  — qgompertz • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Quantile Function for Gompertz Distribution  — qgompertz"><meta property="og:description" content="Quantile Function for Gompertz Distribution
-"><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Quantile Function for Gompertz Distribution  — qgompertz • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Quantile Function for Gompertz Distribution  — qgompertz"><meta name="description" content="Quantile Function for Gompertz Distribution
+"><meta property="og:description" content="Quantile Function for Gompertz Distribution
+"><meta property="og:image" content="/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/ssdtools.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../articles/index.html">Articles</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/ssdtools.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Quantile Function for Gompertz Distribution <a href="https://lifecycle.r-lib.org/articles/stages.html#deprecated" class="external-link"><img src="figures/lifecycle-deprecated.svg" alt="[Deprecated]"></a></h1>
-      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/HEAD/R/gompertz.R" class="external-link"><code>R/gompertz.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/main/R/gompertz.R" class="external-link"><code>R/gompertz.R</code></a></small>
       <div class="d-none name"><code>qgompertz.Rd</code></div>
     </div>
 
@@ -65,28 +48,30 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>p</dt>
+
+
+<dl><dt id="arg-p">p<a class="anchor" aria-label="anchor" href="#arg-p"></a></dt>
 <dd><p>vector of probabilities.</p></dd>
 
 
-<dt>llocation</dt>
+<dt id="arg-llocation">llocation<a class="anchor" aria-label="anchor" href="#arg-llocation"></a></dt>
 <dd><p>location parameter on the log scale.</p></dd>
 
 
-<dt>lshape</dt>
+<dt id="arg-lshape">lshape<a class="anchor" aria-label="anchor" href="#arg-lshape"></a></dt>
 <dd><p>shape parameter on the log scale.</p></dd>
 
 
-<dt>lower.tail</dt>
+<dt id="arg-lower-tail">lower.tail<a class="anchor" aria-label="anchor" href="#arg-lower-tail"></a></dt>
 <dd><p>logical; if TRUE (default), probabilities are <code>P[X &lt;= x]</code>, otherwise, <code>P[X &gt; x]</code>.</p></dd>
 
 
-<dt>log.p</dt>
+<dt id="arg-log-p">log.p<a class="anchor" aria-label="anchor" href="#arg-log-p"></a></dt>
 <dd><p>logical; if TRUE, probabilities p are given as log(p).</p></dd>
 
 </dl></div>
 
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -95,14 +80,14 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/qlgumbel.html b/reference/qlgumbel.html
index 2c845cd6..bb017842 100644
--- a/reference/qlgumbel.html
+++ b/reference/qlgumbel.html
@@ -1,55 +1,38 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Quantile Function for Log-Gumbel Distribution
-"><title>Quantile Function for Log-Gumbel Distribution  — qlgumbel • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Quantile Function for Log-Gumbel Distribution  — qlgumbel"><meta property="og:description" content="Quantile Function for Log-Gumbel Distribution
-"><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Quantile Function for Log-Gumbel Distribution  — qlgumbel • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Quantile Function for Log-Gumbel Distribution  — qlgumbel"><meta name="description" content="Quantile Function for Log-Gumbel Distribution
+"><meta property="og:description" content="Quantile Function for Log-Gumbel Distribution
+"><meta property="og:image" content="/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/ssdtools.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../articles/index.html">Articles</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/ssdtools.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Quantile Function for Log-Gumbel Distribution <a href="https://lifecycle.r-lib.org/articles/stages.html#deprecated" class="external-link"><img src="figures/lifecycle-deprecated.svg" alt="[Deprecated]"></a></h1>
-      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/HEAD/R/lgumbel.R" class="external-link"><code>R/lgumbel.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/main/R/lgumbel.R" class="external-link"><code>R/lgumbel.R</code></a></small>
       <div class="d-none name"><code>qlgumbel.Rd</code></div>
     </div>
 
@@ -65,28 +48,30 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>p</dt>
+
+
+<dl><dt id="arg-p">p<a class="anchor" aria-label="anchor" href="#arg-p"></a></dt>
 <dd><p>vector of probabilities.</p></dd>
 
 
-<dt>locationlog</dt>
+<dt id="arg-locationlog">locationlog<a class="anchor" aria-label="anchor" href="#arg-locationlog"></a></dt>
 <dd><p>location on the log scale parameter.</p></dd>
 
 
-<dt>scalelog</dt>
+<dt id="arg-scalelog">scalelog<a class="anchor" aria-label="anchor" href="#arg-scalelog"></a></dt>
 <dd><p>scale on log scale parameter.</p></dd>
 
 
-<dt>lower.tail</dt>
+<dt id="arg-lower-tail">lower.tail<a class="anchor" aria-label="anchor" href="#arg-lower-tail"></a></dt>
 <dd><p>logical; if TRUE (default), probabilities are <code>P[X &lt;= x]</code>, otherwise, <code>P[X &gt; x]</code>.</p></dd>
 
 
-<dt>log.p</dt>
+<dt id="arg-log-p">log.p<a class="anchor" aria-label="anchor" href="#arg-log-p"></a></dt>
 <dd><p>logical; if TRUE, probabilities p are given as log(p).</p></dd>
 
 </dl></div>
 
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -95,14 +80,14 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/reexports.html b/reference/reexports.html
index b3eb997f..4243c336 100644
--- a/reference/reexports.html
+++ b/reference/reexports.html
@@ -1,5 +1,5 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="These objects are imported from other packages. Follow the links
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Objects exported from other packages — reexports • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Objects exported from other packages — reexports"><meta name="description" content="These objects are imported from other packages. Follow the links
 below to see their documentation.
 
   generics
@@ -22,7 +22,7 @@
 estimates, npars
 
 
-"><title>Objects exported from other packages — reexports • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Objects exported from other packages — reexports"><meta property="og:description" content="These objects are imported from other packages. Follow the links
+"><meta property="og:description" content="These objects are imported from other packages. Follow the links
 below to see their documentation.
 
   generics
@@ -45,55 +45,38 @@
 estimates, npars
 
 
-"><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+"><meta property="og:image" content="/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/ssdtools.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../articles/index.html">Articles</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/ssdtools.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Objects exported from other packages</h1>
-      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/HEAD/R/augment.R" class="external-link"><code>R/augment.R</code></a>, <a href="https://github.com/bcgov/ssdtools/blob/HEAD/R/autoplot.R" class="external-link"><code>R/autoplot.R</code></a>, <a href="https://github.com/bcgov/ssdtools/blob/HEAD/R/coef.R" class="external-link"><code>R/coef.R</code></a>, and 9 more</small>
+      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/main/R/augment.R" class="external-link"><code>R/augment.R</code></a>, <a href="https://github.com/bcgov/ssdtools/blob/main/R/autoplot.R" class="external-link"><code>R/autoplot.R</code></a>, <a href="https://github.com/bcgov/ssdtools/blob/main/R/coef.R" class="external-link"><code>R/coef.R</code></a>, and 9 more</small>
       <div class="d-none name"><code>reexports.Rd</code></div>
     </div>
 
@@ -132,14 +115,14 @@
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/rgompertz.html b/reference/rgompertz.html
index 46bc7af1..74ed3504 100644
--- a/reference/rgompertz.html
+++ b/reference/rgompertz.html
@@ -1,55 +1,38 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Random Generation for Gompertz Distribution
-"><title>Random Generation for Gompertz Distribution  — rgompertz • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Random Generation for Gompertz Distribution  — rgompertz"><meta property="og:description" content="Random Generation for Gompertz Distribution
-"><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Random Generation for Gompertz Distribution  — rgompertz • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Random Generation for Gompertz Distribution  — rgompertz"><meta name="description" content="Random Generation for Gompertz Distribution
+"><meta property="og:description" content="Random Generation for Gompertz Distribution
+"><meta property="og:image" content="/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/ssdtools.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../articles/index.html">Articles</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/ssdtools.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Random Generation for Gompertz Distribution <a href="https://lifecycle.r-lib.org/articles/stages.html#deprecated" class="external-link"><img src="figures/lifecycle-deprecated.svg" alt="[Deprecated]"></a></h1>
-      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/HEAD/R/gompertz.R" class="external-link"><code>R/gompertz.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/main/R/gompertz.R" class="external-link"><code>R/gompertz.R</code></a></small>
       <div class="d-none name"><code>rgompertz.Rd</code></div>
     </div>
 
@@ -65,20 +48,22 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>n</dt>
+
+
+<dl><dt id="arg-n">n<a class="anchor" aria-label="anchor" href="#arg-n"></a></dt>
 <dd><p>positive number of observations.</p></dd>
 
 
-<dt>llocation</dt>
+<dt id="arg-llocation">llocation<a class="anchor" aria-label="anchor" href="#arg-llocation"></a></dt>
 <dd><p>location parameter on the log scale.</p></dd>
 
 
-<dt>lshape</dt>
+<dt id="arg-lshape">lshape<a class="anchor" aria-label="anchor" href="#arg-lshape"></a></dt>
 <dd><p>shape parameter on the log scale.</p></dd>
 
 </dl></div>
 
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -87,14 +72,14 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/rlgumbel.html b/reference/rlgumbel.html
index f2b7a065..f3e723e8 100644
--- a/reference/rlgumbel.html
+++ b/reference/rlgumbel.html
@@ -1,55 +1,38 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Random Generation for log-Gumbel Distribution
-"><title>Random Generation for log-Gumbel Distribution  — rlgumbel • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Random Generation for log-Gumbel Distribution  — rlgumbel"><meta property="og:description" content="Random Generation for log-Gumbel Distribution
-"><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Random Generation for log-Gumbel Distribution  — rlgumbel • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Random Generation for log-Gumbel Distribution  — rlgumbel"><meta name="description" content="Random Generation for log-Gumbel Distribution
+"><meta property="og:description" content="Random Generation for log-Gumbel Distribution
+"><meta property="og:image" content="/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/ssdtools.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../articles/index.html">Articles</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/ssdtools.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Random Generation for log-Gumbel Distribution <a href="https://lifecycle.r-lib.org/articles/stages.html#deprecated" class="external-link"><img src="figures/lifecycle-deprecated.svg" alt="[Deprecated]"></a></h1>
-      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/HEAD/R/lgumbel.R" class="external-link"><code>R/lgumbel.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/main/R/lgumbel.R" class="external-link"><code>R/lgumbel.R</code></a></small>
       <div class="d-none name"><code>rlgumbel.Rd</code></div>
     </div>
 
@@ -65,20 +48,22 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>n</dt>
+
+
+<dl><dt id="arg-n">n<a class="anchor" aria-label="anchor" href="#arg-n"></a></dt>
 <dd><p>positive number of observations.</p></dd>
 
 
-<dt>locationlog</dt>
+<dt id="arg-locationlog">locationlog<a class="anchor" aria-label="anchor" href="#arg-locationlog"></a></dt>
 <dd><p>location on the log scale parameter.</p></dd>
 
 
-<dt>scalelog</dt>
+<dt id="arg-scalelog">scalelog<a class="anchor" aria-label="anchor" href="#arg-scalelog"></a></dt>
 <dd><p>scale on log scale parameter.</p></dd>
 
 </dl></div>
 
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -87,14 +72,14 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/scale_colour_ssd-1.png b/reference/scale_colour_ssd-1.png
index b757188c..e7b82c7f 100644
Binary files a/reference/scale_colour_ssd-1.png and b/reference/scale_colour_ssd-1.png differ
diff --git a/reference/scale_colour_ssd.html b/reference/scale_colour_ssd.html
index fbc6470a..762d369b 100644
--- a/reference/scale_colour_ssd.html
+++ b/reference/scale_colour_ssd.html
@@ -1,53 +1,36 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Discrete color-blind scale for SSD Plots"><title>Discrete color-blind scale for SSD Plots — scale_colour_ssd • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Discrete color-blind scale for SSD Plots — scale_colour_ssd"><meta property="og:description" content="Discrete color-blind scale for SSD Plots"><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Discrete color-blind scale for SSD Plots — scale_colour_ssd • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Discrete color-blind scale for SSD Plots — scale_colour_ssd"><meta name="description" content="Discrete color-blind scale for SSD Plots"><meta property="og:description" content="Discrete color-blind scale for SSD Plots"><meta property="og:image" content="/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/ssdtools.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../articles/index.html">Articles</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/ssdtools.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Discrete color-blind scale for SSD Plots</h1>
-      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/HEAD/R/ggplot.R" class="external-link"><code>R/ggplot.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/main/R/ggplot.R" class="external-link"><code>R/ggplot.R</code></a></small>
       <div class="d-none name"><code>scale_colour_ssd.Rd</code></div>
     </div>
 
@@ -64,18 +47,20 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>...</dt>
+
+
+<dl><dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
 <dd><p>Arguments passed to <code><a href="https://ggplot2.tidyverse.org/reference/discrete_scale.html" class="external-link">ggplot2::discrete_scale()</a></code>.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="functions">Functions<a class="anchor" aria-label="anchor" href="#functions"></a></h2>
-    
+
 <ul><li><p><code>scale_color_ssd()</code>: Discrete color-blind scale for SSD Plots</p></li>
 </ul></div>
     <div class="section level2">
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
-    <div class="dont-index"><p>Other ggplot: 
+    <div class="dont-index"><p>Other ggplot:
 <code><a href="geom_hcintersect.html">geom_hcintersect</a>()</code>,
 <code><a href="geom_ssdpoint.html">geom_ssdpoint</a>()</code>,
 <code><a href="geom_ssdsegment.html">geom_ssdsegment</a>()</code>,
@@ -90,7 +75,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-plt img"><img src="scale_colour_ssd-1.png" alt="" width="700" height="433"></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -99,14 +84,14 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/ssd_censor_data.html b/reference/ssd_censor_data.html
new file mode 100644
index 00000000..cebcc721
--- /dev/null
+++ b/reference/ssd_censor_data.html
@@ -0,0 +1,113 @@
+<!DOCTYPE html>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Censor Data — ssd_censor_data • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Censor Data — ssd_censor_data"><meta name="description" content="Censor Data"><meta property="og:description" content="Censor Data"><meta property="og:image" content="/logo.png"></head><body>
+    <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
+
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
+    <a class="navbar-brand me-2" href="../index.html">ssdtools</a>
+
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
+
+    <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
+      <span class="navbar-toggler-icon"></span>
+    </button>
+
+    <div id="navbar" class="collapse navbar-collapse ms-3">
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/ssdtools.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
+      </ul></div>
+
+
+  </div>
+</nav><div class="container template-reference-topic">
+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Censor Data</h1>
+      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/main/R/censor.R" class="external-link"><code>R/censor.R</code></a></small>
+      <div class="d-none name"><code>ssd_censor_data.Rd</code></div>
+    </div>
+
+    <div class="ref-description section level2">
+    <p>Censor Data</p>
+    </div>
+
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">ssd_censor_data</span><span class="op">(</span><span class="va">data</span>, left <span class="op">=</span> <span class="st">"Conc"</span>, <span class="va">...</span>, right <span class="op">=</span> <span class="va">left</span>, censoring <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">0</span>, <span class="cn">Inf</span><span class="op">)</span><span class="op">)</span></span></code></pre></div>
+    </div>
+
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-data">data<a class="anchor" aria-label="anchor" href="#arg-data"></a></dt>
+<dd><p>A data frame.</p></dd>
+
+
+<dt id="arg-left">left<a class="anchor" aria-label="anchor" href="#arg-left"></a></dt>
+<dd><p>A string of the column in data with the concentrations.</p></dd>
+
+
+<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
+<dd><p>Unused.</p></dd>
+
+
+<dt id="arg-right">right<a class="anchor" aria-label="anchor" href="#arg-right"></a></dt>
+<dd><p>A string of the column in data with the right concentration values.</p></dd>
+
+
+<dt id="arg-censoring">censoring<a class="anchor" aria-label="anchor" href="#arg-censoring"></a></dt>
+<dd><p>A numeric vector of the left and right censoring values.</p></dd>
+
+</dl></div>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p>A tibble of the censored data.</p>
+    </div>
+
+    <div class="section level2">
+    <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="fu">ssd_censor_data</span><span class="op">(</span><span class="fu">ssddata</span><span class="fu">::</span><span class="va"><a href="https://rdrr.io/pkg/ssddata/man/ccme_boron.html" class="external-link">ccme_boron</a></span>, censoring <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">2.5</span>, <span class="cn">Inf</span><span class="op">)</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 28 × 6</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>    Chemical Species                  Conc Group        Units right</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>                   <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;fct&gt;</span>        <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> Boron    Oncorhynchus mykiss       0   Fish         mg/L    2.5</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> Boron    Ictalurus punctatus       0   Fish         mg/L    2.5</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> Boron    Micropterus salmoides     4.1 Fish         mg/L    4.1</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> Boron    Brachydanio rerio        10   Fish         mg/L   10  </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> Boron    Carassius auratus        15.6 Fish         mg/L   15.6</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> Boron    Pimephales promelas      18.3 Fish         mg/L   18.3</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> Boron    Daphnia magna             6   Invertebrate mg/L    6  </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> Boron    Opercularia bimarginata  10   Invertebrate mg/L   10  </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> Boron    Ceriodaphnia dubia       13.4 Invertebrate mg/L   13.4</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> Boron    Entosiphon sulcatum      15   Invertebrate mg/L   15  </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 18 more rows</span></span>
+</code></pre></div>
+    </div>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
+    </nav></aside></div>
+
+
+    <footer><div class="pkgdown-footer-left">
+  <p>Developed by <a href="https://github.com/joethorley" class="external-link">Joe Thorley</a>, <a href="https://www.aims.gov.au/about/our-people/dr-rebecca-fisher" class="external-link">Rebecca Fisher</a>, <a href="https://training.ecotox.science/who-we-are/" class="external-link">David Fox</a>, <a href="https://www.sfu.ca/stat-actsci/department/profiles/carl-schwarz.html" class="external-link">Carl Schwarz</a>, <a href="https://www2.gov.bc.ca/" class="external-link">Province of British Columbia</a>, <a href="https://www.canada.ca/en/environment-climate-change.html" class="external-link">Environment and Climate Change Canada</a>, <a href="https://www.dcceew.gov.au/" class="external-link">Australian Government Department of Climate Change, Energy, the Environment and Water</a>.</p>
+</div>
+
+<div class="pkgdown-footer-right">
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
+</div>
+
+    </footer></div>
+
+
+
+
+
+  </body></html>
+
diff --git a/reference/ssd_data.html b/reference/ssd_data.html
index 2d087f91..370082bb 100644
--- a/reference/ssd_data.html
+++ b/reference/ssd_data.html
@@ -1,53 +1,36 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Get a tibble of the original data."><title>Data from fitdists Object — ssd_data • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Data from fitdists Object — ssd_data"><meta property="og:description" content="Get a tibble of the original data."><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Data from fitdists Object — ssd_data • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Data from fitdists Object — ssd_data"><meta name="description" content="Get a tibble of the original data."><meta property="og:description" content="Get a tibble of the original data."><meta property="og:image" content="/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/ssdtools.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../articles/index.html">Articles</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/ssdtools.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Data from fitdists Object</h1>
-      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/HEAD/R/ssd-data.R" class="external-link"><code>R/ssd-data.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/main/R/ssd-data.R" class="external-link"><code>R/ssd-data.R</code></a></small>
       <div class="d-none name"><code>ssd_data.Rd</code></div>
     </div>
 
@@ -62,15 +45,15 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>x</dt>
+
+
+<dl><dt id="arg-x">x<a class="anchor" aria-label="anchor" href="#arg-x"></a></dt>
 <dd><p>The object.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>A tibble of the original data.</p>
+    <p>A tibble of the original data.</p>
     </div>
     <div class="section level2">
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
@@ -97,7 +80,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 18 more rows</span></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -106,14 +89,14 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/ssd_dists.html b/reference/ssd_dists.html
index deb1d80b..5bd33a09 100644
--- a/reference/ssd_dists.html
+++ b/reference/ssd_dists.html
@@ -1,53 +1,36 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Gets a character vector of the names of the available distributions."><title>Species Sensitivity Distributions — ssd_dists • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Species Sensitivity Distributions — ssd_dists"><meta property="og:description" content="Gets a character vector of the names of the available distributions."><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Species Sensitivity Distributions — ssd_dists • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Species Sensitivity Distributions — ssd_dists"><meta name="description" content="Gets a character vector of the names of the available distributions."><meta property="og:description" content="Gets a character vector of the names of the available distributions."><meta property="og:image" content="/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/ssdtools.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../articles/index.html">Articles</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/ssdtools.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Species Sensitivity Distributions</h1>
-      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/HEAD/R/dists.R" class="external-link"><code>R/dists.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/main/R/dists.R" class="external-link"><code>R/dists.R</code></a></small>
       <div class="d-none name"><code>ssd_dists.Rd</code></div>
     </div>
 
@@ -62,27 +45,27 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>bcanz</dt>
+
+
+<dl><dt id="arg-bcanz">bcanz<a class="anchor" aria-label="anchor" href="#arg-bcanz"></a></dt>
 <dd><p>A flag or NULL specifying whether to only include distributions in the set that is approved by BC, Canada, Australia and New Zealand for official guidelines.</p></dd>
 
 
-<dt>tails</dt>
+<dt id="arg-tails">tails<a class="anchor" aria-label="anchor" href="#arg-tails"></a></dt>
 <dd><p>A flag or NULL specifying whether to only include distributions with both tails.</p></dd>
 
 
-<dt>npars</dt>
+<dt id="arg-npars">npars<a class="anchor" aria-label="anchor" href="#arg-npars"></a></dt>
 <dd><p>A whole numeric vector specifying which distributions to include based on the number of parameters.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>A unique, sorted character vector of the distributions.</p>
+    <p>A unique, sorted character vector of the distributions.</p>
     </div>
     <div class="section level2">
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
-    <div class="dont-index"><p>Other dists: 
+    <div class="dont-index"><p>Other dists:
 <code><a href="dist_data.html">dist_data</a></code>,
 <code><a href="ssd_dists_all.html">ssd_dists_all</a>()</code></p></div>
     </div>
@@ -102,7 +85,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> [1] "llogis_llogis" "lnorm_lnorm"  </span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -111,14 +94,14 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/ssd_dists_all.html b/reference/ssd_dists_all.html
index f0c17329..40012384 100644
--- a/reference/ssd_dists_all.html
+++ b/reference/ssd_dists_all.html
@@ -1,53 +1,36 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Gets a character vector of the names of all the available distributions."><title>All Species Sensitivity Distributions — ssd_dists_all • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="All Species Sensitivity Distributions — ssd_dists_all"><meta property="og:description" content="Gets a character vector of the names of all the available distributions."><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>All Species Sensitivity Distributions — ssd_dists_all • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="All Species Sensitivity Distributions — ssd_dists_all"><meta name="description" content="Gets a character vector of the names of all the available distributions."><meta property="og:description" content="Gets a character vector of the names of all the available distributions."><meta property="og:image" content="/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/ssdtools.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../articles/index.html">Articles</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/ssdtools.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>All Species Sensitivity Distributions</h1>
-      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/HEAD/R/dists.R" class="external-link"><code>R/dists.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/main/R/dists.R" class="external-link"><code>R/dists.R</code></a></small>
       <div class="d-none name"><code>ssd_dists_all.Rd</code></div>
     </div>
 
@@ -62,13 +45,11 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>A unique, sorted character vector of the distributions.</p>
+    <p>A unique, sorted character vector of the distributions.</p>
     </div>
     <div class="section level2">
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
-    <div class="dont-index"><p>Other dists: 
+    <div class="dont-index"><p>Other dists:
 <code><a href="dist_data.html">dist_data</a></code>,
 <code><a href="ssd_dists.html">ssd_dists</a>()</code></p></div>
     </div>
@@ -81,7 +62,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span>  [9] "lnorm_lnorm"   "weibull"      </span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -90,14 +71,14 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/ssd_dists_bcanz.html b/reference/ssd_dists_bcanz.html
index 5c4c3ae9..3798aa65 100644
--- a/reference/ssd_dists_bcanz.html
+++ b/reference/ssd_dists_bcanz.html
@@ -1,55 +1,38 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Gets a character vector of the names of the distributions
-adopted by BC, Canada, Australia and New Zealand for official guidelines."><title>BCANZ Distributions — ssd_dists_bcanz • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="BCANZ Distributions — ssd_dists_bcanz"><meta property="og:description" content="Gets a character vector of the names of the distributions
-adopted by BC, Canada, Australia and New Zealand for official guidelines."><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>BCANZ Distributions — ssd_dists_bcanz • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="BCANZ Distributions — ssd_dists_bcanz"><meta name="description" content="Gets a character vector of the names of the distributions
+adopted by BC, Canada, Australia and New Zealand for official guidelines."><meta property="og:description" content="Gets a character vector of the names of the distributions
+adopted by BC, Canada, Australia and New Zealand for official guidelines."><meta property="og:image" content="/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/ssdtools.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../articles/index.html">Articles</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/ssdtools.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>BCANZ Distributions</h1>
-      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/HEAD/R/bcanz.R" class="external-link"><code>R/bcanz.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/main/R/bcanz.R" class="external-link"><code>R/bcanz.R</code></a></small>
       <div class="d-none name"><code>ssd_dists_bcanz.Rd</code></div>
     </div>
 
@@ -65,15 +48,15 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>npars</dt>
+
+
+<dl><dt id="arg-npars">npars<a class="anchor" aria-label="anchor" href="#arg-npars"></a></dt>
 <dd><p>A whole numeric vector specifying which distributions to include based on the number of parameters.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>A unique, sorted character vector of the distributions.</p>
+    <p>A unique, sorted character vector of the distributions.</p>
     </div>
     <div class="section level2">
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
@@ -89,7 +72,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> [1] "gamma"   "lgumbel" "llogis"  "lnorm"   "weibull"</span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -98,14 +81,14 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/ssd_e.html b/reference/ssd_e.html
index caac32df..86b1a479 100644
--- a/reference/ssd_e.html
+++ b/reference/ssd_e.html
@@ -1,53 +1,36 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Default Parameter Estimates"><title>Default Parameter Estimates — ssd_eburrIII3 • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Default Parameter Estimates — ssd_eburrIII3"><meta property="og:description" content="Default Parameter Estimates"><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Default Parameter Estimates — ssd_eburrIII3 • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Default Parameter Estimates — ssd_eburrIII3"><meta name="description" content="Default Parameter Estimates"><meta property="og:description" content="Default Parameter Estimates"><meta property="og:image" content="/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/ssdtools.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../articles/index.html">Articles</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/ssdtools.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Default Parameter Estimates</h1>
-      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/HEAD/R/burrrIII3.R" class="external-link"><code>R/burrrIII3.R</code></a>, <a href="https://github.com/bcgov/ssdtools/blob/HEAD/R/gamma.R" class="external-link"><code>R/gamma.R</code></a>, <a href="https://github.com/bcgov/ssdtools/blob/HEAD/R/gompertz.R" class="external-link"><code>R/gompertz.R</code></a>, and 9 more</small>
+      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/main/R/burrrIII3.R" class="external-link"><code>R/burrrIII3.R</code></a>, <a href="https://github.com/bcgov/ssdtools/blob/main/R/gamma.R" class="external-link"><code>R/gamma.R</code></a>, <a href="https://github.com/bcgov/ssdtools/blob/main/R/gompertz.R" class="external-link"><code>R/gompertz.R</code></a>, and 9 more</small>
       <div class="d-none name"><code>ssd_e.Rd</code></div>
     </div>
 
@@ -84,7 +67,7 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="functions">Functions<a class="anchor" aria-label="anchor" href="#functions"></a></h2>
-    
+
 <ul><li><p><code>ssd_eburrIII3()</code>: Default Parameter Values for BurrIII Distribution</p></li>
 <li><p><code>ssd_egamma()</code>: Default Parameter Values for Gamma Distribution</p></li>
 <li><p><code>ssd_egompertz()</code>: Default Parameter Values for Gompertz Distribution</p></li>
@@ -329,7 +312,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> </span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -338,14 +321,14 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/ssd_ecd.html b/reference/ssd_ecd.html
index 94b5cf61..1c6e4f35 100644
--- a/reference/ssd_ecd.html
+++ b/reference/ssd_ecd.html
@@ -1,53 +1,36 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Empirical Cumulative Density"><title>Empirical Cumulative Density — ssd_ecd • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Empirical Cumulative Density — ssd_ecd"><meta property="og:description" content="Empirical Cumulative Density"><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Empirical Cumulative Density — ssd_ecd • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Empirical Cumulative Density — ssd_ecd"><meta name="description" content="Empirical Cumulative Density"><meta property="og:description" content="Empirical Cumulative Density"><meta property="og:image" content="/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/ssdtools.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../articles/index.html">Articles</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/ssdtools.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Empirical Cumulative Density</h1>
-      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/HEAD/R/utils.R" class="external-link"><code>R/utils.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/main/R/utils.R" class="external-link"><code>R/utils.R</code></a></small>
       <div class="d-none name"><code>ssd_ecd.Rd</code></div>
     </div>
 
@@ -62,20 +45,20 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>x</dt>
+
+
+<dl><dt id="arg-x">x<a class="anchor" aria-label="anchor" href="#arg-x"></a></dt>
 <dd><p>a numeric, complex, character or logical vector.</p></dd>
 
 
-<dt>ties.method</dt>
+<dt id="arg-ties-method">ties.method<a class="anchor" aria-label="anchor" href="#arg-ties-method"></a></dt>
 <dd><p>a character string specifying how ties are treated,
     see ‘Details’; can be abbreviated.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>A numeric vector of the empirical cumulative density.</p>
+    <p>A numeric vector of the empirical cumulative density.</p>
     </div>
 
     <div class="section level2">
@@ -84,7 +67,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span>  [1] 0.05 0.15 0.25 0.35 0.45 0.55 0.65 0.75 0.85 0.95</span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -93,14 +76,14 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/ssd_ecd_data.html b/reference/ssd_ecd_data.html
index 357a934d..4df0bdd8 100644
--- a/reference/ssd_ecd_data.html
+++ b/reference/ssd_ecd_data.html
@@ -1,53 +1,36 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Empirical Cumulative Density for Species Sensitivity Data"><title>Empirical Cumulative Density for Species Sensitivity Data — ssd_ecd_data • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Empirical Cumulative Density for Species Sensitivity Data — ssd_ecd_data"><meta property="og:description" content="Empirical Cumulative Density for Species Sensitivity Data"><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Empirical Cumulative Density for Species Sensitivity Data — ssd_ecd_data • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Empirical Cumulative Density for Species Sensitivity Data — ssd_ecd_data"><meta name="description" content="Empirical Cumulative Density for Species Sensitivity Data"><meta property="og:description" content="Empirical Cumulative Density for Species Sensitivity Data"><meta property="og:image" content="/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/ssdtools.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../articles/index.html">Articles</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/ssdtools.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Empirical Cumulative Density for Species Sensitivity Data</h1>
-      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/HEAD/R/utils.R" class="external-link"><code>R/utils.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/main/R/utils.R" class="external-link"><code>R/utils.R</code></a></small>
       <div class="d-none name"><code>ssd_ecd_data.Rd</code></div>
     </div>
 
@@ -67,19 +50,21 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>data</dt>
+
+
+<dl><dt id="arg-data">data<a class="anchor" aria-label="anchor" href="#arg-data"></a></dt>
 <dd><p>A data frame.</p></dd>
 
 
-<dt>left</dt>
+<dt id="arg-left">left<a class="anchor" aria-label="anchor" href="#arg-left"></a></dt>
 <dd><p>A string of the column in data with the concentrations.</p></dd>
 
 
-<dt>right</dt>
+<dt id="arg-right">right<a class="anchor" aria-label="anchor" href="#arg-right"></a></dt>
 <dd><p>A string of the column in data with the right concentration values.</p></dd>
 
 
-<dt>bounds</dt>
+<dt id="arg-bounds">bounds<a class="anchor" aria-label="anchor" href="#arg-bounds"></a></dt>
 <dd><p>A named non-negative numeric vector of the left and right bounds for
 uncensored missing (0 and Inf) data in terms of the orders of magnitude
 relative to the extremes for non-missing values.</p></dd>
@@ -87,9 +72,7 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>A numeric vector of the empirical cumulative density for the rows
+    <p>A numeric vector of the empirical cumulative density for the rows
 in data.</p>
     </div>
     <div class="section level2">
@@ -107,7 +90,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> [25] 0.69642857 0.73214286 0.83928571 0.87500000</span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -116,14 +99,14 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/ssd_exposure.html b/reference/ssd_exposure.html
index 2c3e774e..68dd54d5 100644
--- a/reference/ssd_exposure.html
+++ b/reference/ssd_exposure.html
@@ -1,53 +1,36 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Calculates average proportion exposed based on log-normal distribution of concentrations."><title>Proportion Exposure — ssd_exposure • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Proportion Exposure — ssd_exposure"><meta property="og:description" content="Calculates average proportion exposed based on log-normal distribution of concentrations."><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Proportion Exposure — ssd_exposure • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Proportion Exposure — ssd_exposure"><meta name="description" content="Calculates average proportion exposed based on log-normal distribution of concentrations."><meta property="og:description" content="Calculates average proportion exposed based on log-normal distribution of concentrations."><meta property="og:image" content="/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/ssdtools.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../articles/index.html">Articles</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/ssdtools.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Proportion Exposure</h1>
-      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/HEAD/R/exposure.R" class="external-link"><code>R/exposure.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/main/R/exposure.R" class="external-link"><code>R/exposure.R</code></a></small>
       <div class="d-none name"><code>ssd_exposure.Rd</code></div>
     </div>
 
@@ -62,27 +45,27 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>x</dt>
+
+
+<dl><dt id="arg-x">x<a class="anchor" aria-label="anchor" href="#arg-x"></a></dt>
 <dd><p>The object.</p></dd>
 
 
-<dt>meanlog</dt>
+<dt id="arg-meanlog">meanlog<a class="anchor" aria-label="anchor" href="#arg-meanlog"></a></dt>
 <dd><p>The mean of the exposure concentrations on the log scale.</p></dd>
 
 
-<dt>sdlog</dt>
+<dt id="arg-sdlog">sdlog<a class="anchor" aria-label="anchor" href="#arg-sdlog"></a></dt>
 <dd><p>The standard deviation of the exposure concentrations on the log scale.</p></dd>
 
 
-<dt>nboot</dt>
+<dt id="arg-nboot">nboot<a class="anchor" aria-label="anchor" href="#arg-nboot"></a></dt>
 <dd><p>The number of samples to use to calculate the exposure.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>The proportion exposed.</p>
+    <p>The proportion exposed.</p>
     </div>
 
     <div class="section level2">
@@ -90,14 +73,14 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
     <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="va">fits</span> <span class="op">&lt;-</span> <span class="fu"><a href="ssd_fit_dists.html">ssd_fit_dists</a></span><span class="op">(</span><span class="fu">ssddata</span><span class="fu">::</span><span class="va"><a href="https://rdrr.io/pkg/ssddata/man/ccme_boron.html" class="external-link">ccme_boron</a></span>, dists <span class="op">=</span> <span class="st">"lnorm"</span><span class="op">)</span></span></span>
 <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/Random.html" class="external-link">set.seed</a></span><span class="op">(</span><span class="fl">10</span><span class="op">)</span></span></span>
 <span class="r-in"><span><span class="fu">ssd_exposure</span><span class="op">(</span><span class="va">fits</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 0.05389213</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 0.05389226</span>
 <span class="r-in"><span><span class="fu">ssd_exposure</span><span class="op">(</span><span class="va">fits</span>, meanlog <span class="op">=</span> <span class="fl">1</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 0.1705357</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 0.1705358</span>
 <span class="r-in"><span><span class="fu">ssd_exposure</span><span class="op">(</span><span class="va">fits</span>, meanlog <span class="op">=</span> <span class="fl">1</span>, sdlog <span class="op">=</span> <span class="fl">1</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 0.1609466</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 0.1609468</span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -106,14 +89,14 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/ssd_fit_bcanz.html b/reference/ssd_fit_bcanz.html
index bf7a0ba4..ba18dcc9 100644
--- a/reference/ssd_fit_bcanz.html
+++ b/reference/ssd_fit_bcanz.html
@@ -1,55 +1,38 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Fits distributions using settings adopted by
-BC, Canada, Australia and New Zealand for official guidelines."><title>Fit BCANZ Distributions — ssd_fit_bcanz • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Fit BCANZ Distributions — ssd_fit_bcanz"><meta property="og:description" content="Fits distributions using settings adopted by
-BC, Canada, Australia and New Zealand for official guidelines."><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Fit BCANZ Distributions — ssd_fit_bcanz • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Fit BCANZ Distributions — ssd_fit_bcanz"><meta name="description" content="Fits distributions using settings adopted by
+BC, Canada, Australia and New Zealand for official guidelines."><meta property="og:description" content="Fits distributions using settings adopted by
+BC, Canada, Australia and New Zealand for official guidelines."><meta property="og:image" content="/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/ssdtools.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../articles/index.html">Articles</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/ssdtools.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Fit BCANZ Distributions</h1>
-      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/HEAD/R/bcanz.R" class="external-link"><code>R/bcanz.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/main/R/bcanz.R" class="external-link"><code>R/bcanz.R</code></a></small>
       <div class="d-none name"><code>ssd_fit_bcanz.Rd</code></div>
     </div>
 
@@ -65,28 +48,28 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>data</dt>
+
+
+<dl><dt id="arg-data">data<a class="anchor" aria-label="anchor" href="#arg-data"></a></dt>
 <dd><p>A data frame.</p></dd>
 
 
-<dt>left</dt>
+<dt id="arg-left">left<a class="anchor" aria-label="anchor" href="#arg-left"></a></dt>
 <dd><p>A string of the column in data with the concentrations.</p></dd>
 
 
-<dt>dists</dt>
+<dt id="arg-dists">dists<a class="anchor" aria-label="anchor" href="#arg-dists"></a></dt>
 <dd><p>A character vector of the distribution names.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>An object of class fitdists.</p>
+    <p>An object of class fitdists.</p>
     </div>
     <div class="section level2">
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
     <div class="dont-index"><p><code><a href="ssd_fit_dists.html">ssd_fit_dists()</a></code></p>
-<p>Other BCANZ: 
+<p>Other BCANZ:
 <code><a href="ssd_hc_bcanz.html">ssd_hc_bcanz</a>()</code>,
 <code><a href="ssd_hp_bcanz.html">ssd_hp_bcanz</a>()</code></p></div>
     </div>
@@ -111,11 +94,11 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span>   sdlog 1.24154</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> Distribution 'lnorm_lnorm'</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   meanlog1 0.949487</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   meanlog2 3.20108</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   pmix 0.283994</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   sdlog1 0.554514</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   sdlog2 0.768824</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   meanlog1 0.949483</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   meanlog2 3.20102</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   pmix 0.283968</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   sdlog1 0.554465</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   sdlog2 0.768862</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> Distribution 'weibull'</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>   scale 23.514</span>
@@ -124,7 +107,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> Parameters estimated from 28 rows of data.</span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -133,14 +116,14 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/ssd_fit_burrlioz.html b/reference/ssd_fit_burrlioz.html
index 8a86ad4d..89b6c4c7 100644
--- a/reference/ssd_fit_burrlioz.html
+++ b/reference/ssd_fit_burrlioz.html
@@ -1,59 +1,42 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Fits 'burrIII3' distribution.
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Fit Burrlioz Distributions — ssd_fit_burrlioz • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Fit Burrlioz Distributions — ssd_fit_burrlioz"><meta name="description" content="Fits 'burrIII3' distribution.
 If shape1 parameter is at boundary returns 'lgumbel' (which is equivalent to inverse Weibull).
 Else if shape2 parameter is at a boundary returns 'invpareto'.
-Otherwise returns 'burrIII3'"><title>Fit Burrlioz Distributions — ssd_fit_burrlioz • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Fit Burrlioz Distributions — ssd_fit_burrlioz"><meta property="og:description" content="Fits 'burrIII3' distribution.
+Otherwise returns 'burrIII3'"><meta property="og:description" content="Fits 'burrIII3' distribution.
 If shape1 parameter is at boundary returns 'lgumbel' (which is equivalent to inverse Weibull).
 Else if shape2 parameter is at a boundary returns 'invpareto'.
-Otherwise returns 'burrIII3'"><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+Otherwise returns 'burrIII3'"><meta property="og:image" content="/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/ssdtools.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../articles/index.html">Articles</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/ssdtools.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Fit Burrlioz Distributions</h1>
-      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/HEAD/R/fit-burrlioz.R" class="external-link"><code>R/fit-burrlioz.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/main/R/fit-burrlioz.R" class="external-link"><code>R/fit-burrlioz.R</code></a></small>
       <div class="d-none name"><code>ssd_fit_burrlioz.Rd</code></div>
     </div>
 
@@ -66,32 +49,42 @@
 
     <div class="section level2">
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">ssd_fit_burrlioz</span><span class="op">(</span><span class="va">data</span>, left <span class="op">=</span> <span class="st">"Conc"</span>, rescale <span class="op">=</span> <span class="cn">FALSE</span>, silent <span class="op">=</span> <span class="cn">FALSE</span><span class="op">)</span></span></code></pre></div>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">ssd_fit_burrlioz</span><span class="op">(</span></span>
+<span>  <span class="va">data</span>,</span>
+<span>  left <span class="op">=</span> <span class="st">"Conc"</span>,</span>
+<span>  rescale <span class="op">=</span> <span class="cn">FALSE</span>,</span>
+<span>  control <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="op">)</span>,</span>
+<span>  silent <span class="op">=</span> <span class="cn">FALSE</span></span>
+<span><span class="op">)</span></span></code></pre></div>
     </div>
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>data</dt>
+
+
+<dl><dt id="arg-data">data<a class="anchor" aria-label="anchor" href="#arg-data"></a></dt>
 <dd><p>A data frame.</p></dd>
 
 
-<dt>left</dt>
+<dt id="arg-left">left<a class="anchor" aria-label="anchor" href="#arg-left"></a></dt>
 <dd><p>A string of the column in data with the concentrations.</p></dd>
 
 
-<dt>rescale</dt>
+<dt id="arg-rescale">rescale<a class="anchor" aria-label="anchor" href="#arg-rescale"></a></dt>
 <dd><p>A flag specifying whether to rescale concentration values by dividing by the geometric mean of the minimum and maximum positive finite values.</p></dd>
 
 
-<dt>silent</dt>
+<dt id="arg-control">control<a class="anchor" aria-label="anchor" href="#arg-control"></a></dt>
+<dd><p>A list of control parameters passed to <code><a href="https://rdrr.io/r/stats/optim.html" class="external-link">stats::optim()</a></code>.</p></dd>
+
+
+<dt id="arg-silent">silent<a class="anchor" aria-label="anchor" href="#arg-silent"></a></dt>
 <dd><p>A flag indicating whether fits should fail silently.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>An object of class fitdists.</p>
+    <p>An object of class fitdists.</p>
     </div>
     <div class="section level2">
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
@@ -108,7 +101,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> Parameters estimated from 28 rows of data.</span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -117,14 +110,14 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/ssd_fit_dists-1.png b/reference/ssd_fit_dists-1.png
index 3fd35b2d..7d75c9f0 100644
Binary files a/reference/ssd_fit_dists-1.png and b/reference/ssd_fit_dists-1.png differ
diff --git a/reference/ssd_fit_dists.html b/reference/ssd_fit_dists.html
index 03b98f93..dcec8162 100644
--- a/reference/ssd_fit_dists.html
+++ b/reference/ssd_fit_dists.html
@@ -1,53 +1,36 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Fits one or more distributions to species sensitivity data."><title>Fit Distributions — ssd_fit_dists • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Fit Distributions — ssd_fit_dists"><meta property="og:description" content="Fits one or more distributions to species sensitivity data."><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Fit Distributions — ssd_fit_dists • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Fit Distributions — ssd_fit_dists"><meta name="description" content="Fits one or more distributions to species sensitivity data."><meta property="og:description" content="Fits one or more distributions to species sensitivity data."><meta property="og:image" content="/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/ssdtools.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../articles/index.html">Articles</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/ssdtools.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Fit Distributions</h1>
-      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/HEAD/R/fit.R" class="external-link"><code>R/fit.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/main/R/fit.R" class="external-link"><code>R/fit.R</code></a></small>
       <div class="d-none name"><code>ssd_fit_dists.Rd</code></div>
     </div>
 
@@ -66,10 +49,10 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 <span>  nrow <span class="op">=</span> <span class="fl">6L</span>,</span>
 <span>  rescale <span class="op">=</span> <span class="cn">FALSE</span>,</span>
 <span>  reweight <span class="op">=</span> <span class="cn">FALSE</span>,</span>
-<span>  computable <span class="op">=</span> <span class="cn">TRUE</span>,</span>
-<span>  at_boundary_ok <span class="op">=</span> <span class="cn">FALSE</span>,</span>
+<span>  computable <span class="op">=</span> <span class="cn">FALSE</span>,</span>
+<span>  at_boundary_ok <span class="op">=</span> <span class="cn">TRUE</span>,</span>
 <span>  all_dists <span class="op">=</span> <span class="cn">FALSE</span>,</span>
-<span>  min_pmix <span class="op">=</span> <span class="fl">0</span>,</span>
+<span>  min_pmix <span class="op">=</span> <span class="fu"><a href="ssd_min_pmix.html">ssd_min_pmix</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/nrow.html" class="external-link">nrow</a></span><span class="op">(</span><span class="va">data</span><span class="op">)</span><span class="op">)</span>,</span>
 <span>  range_shape1 <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">0.05</span>, <span class="fl">20</span><span class="op">)</span>,</span>
 <span>  range_shape2 <span class="op">=</span> <span class="va">range_shape1</span>,</span>
 <span>  control <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="op">)</span>,</span>
@@ -79,86 +62,88 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>data</dt>
+
+
+<dl><dt id="arg-data">data<a class="anchor" aria-label="anchor" href="#arg-data"></a></dt>
 <dd><p>A data frame.</p></dd>
 
 
-<dt>left</dt>
+<dt id="arg-left">left<a class="anchor" aria-label="anchor" href="#arg-left"></a></dt>
 <dd><p>A string of the column in data with the concentrations.</p></dd>
 
 
-<dt>right</dt>
+<dt id="arg-right">right<a class="anchor" aria-label="anchor" href="#arg-right"></a></dt>
 <dd><p>A string of the column in data with the right concentration values.</p></dd>
 
 
-<dt>weight</dt>
+<dt id="arg-weight">weight<a class="anchor" aria-label="anchor" href="#arg-weight"></a></dt>
 <dd><p>A string of the numeric column in data with positive weights less than or equal to 1,000 or NULL.</p></dd>
 
 
-<dt>dists</dt>
+<dt id="arg-dists">dists<a class="anchor" aria-label="anchor" href="#arg-dists"></a></dt>
 <dd><p>A character vector of the distribution names.</p></dd>
 
 
-<dt>nrow</dt>
+<dt id="arg-nrow">nrow<a class="anchor" aria-label="anchor" href="#arg-nrow"></a></dt>
 <dd><p>A positive whole number of the minimum number of non-missing rows.</p></dd>
 
 
-<dt>rescale</dt>
+<dt id="arg-rescale">rescale<a class="anchor" aria-label="anchor" href="#arg-rescale"></a></dt>
 <dd><p>A flag specifying whether to rescale concentration values by dividing by the geometric mean of the minimum and maximum positive finite values.</p></dd>
 
 
-<dt>reweight</dt>
+<dt id="arg-reweight">reweight<a class="anchor" aria-label="anchor" href="#arg-reweight"></a></dt>
 <dd><p>A flag specifying whether to reweight weights by dividing by the largest weight.</p></dd>
 
 
-<dt>computable</dt>
+<dt id="arg-computable">computable<a class="anchor" aria-label="anchor" href="#arg-computable"></a></dt>
 <dd><p>A flag specifying whether to only return fits with numerically computable standard errors.</p></dd>
 
 
-<dt>at_boundary_ok</dt>
+<dt id="arg-at-boundary-ok">at_boundary_ok<a class="anchor" aria-label="anchor" href="#arg-at-boundary-ok"></a></dt>
 <dd><p>A flag specifying whether a model with one or more
 parameters at the boundary should be considered to have converged (default = FALSE).</p></dd>
 
 
-<dt>all_dists</dt>
+<dt id="arg-all-dists">all_dists<a class="anchor" aria-label="anchor" href="#arg-all-dists"></a></dt>
 <dd><p>A flag specifying whether all the named distributions must fit successfully.</p></dd>
 
 
-<dt>min_pmix</dt>
+<dt id="arg-min-pmix">min_pmix<a class="anchor" aria-label="anchor" href="#arg-min-pmix"></a></dt>
 <dd><p>A number between 0 and 0.5 specifying the minimum proportion in mixture models.</p></dd>
 
 
-<dt>range_shape1</dt>
+<dt id="arg-range-shape-">range_shape1<a class="anchor" aria-label="anchor" href="#arg-range-shape-"></a></dt>
 <dd><p>A numeric vector of length two of the lower and upper bounds for the shape1 parameter.</p></dd>
 
 
-<dt>range_shape2</dt>
+<dt id="arg-range-shape-">range_shape2<a class="anchor" aria-label="anchor" href="#arg-range-shape-"></a></dt>
 <dd><p>shape2 parameter.</p></dd>
 
 
-<dt>control</dt>
+<dt id="arg-control">control<a class="anchor" aria-label="anchor" href="#arg-control"></a></dt>
 <dd><p>A list of control parameters passed to <code><a href="https://rdrr.io/r/stats/optim.html" class="external-link">stats::optim()</a></code>.</p></dd>
 
 
-<dt>silent</dt>
+<dt id="arg-silent">silent<a class="anchor" aria-label="anchor" href="#arg-silent"></a></dt>
 <dd><p>A flag indicating whether fits should fail silently.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>An object of class fitdists.</p>
+    <p>An object of class fitdists.</p>
     </div>
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
-    <p>By default the 'llogis', 'gamma' and 'lnorm'
-distributions are fitted to the data.
-For a complete list of the implemented distributions see <code><a href="ssd_dists_all.html">ssd_dists_all()</a></code>.</p>
+    <p>By default the 'gamma', 'lgumbel', 'llogis', 'lnorm', 'lnorm_lnorm' and
+'weibull' distributions are fitted to the data.
+For a complete list of the distributions that are currently implemented in
+<code>ssdtools</code> see <code><a href="ssd_dists_all.html">ssd_dists_all()</a></code>.</p>
 <p>If weight specifies a column in the data frame with positive numbers,
 weighted estimation occurs.
 However, currently only the resultant parameter estimates are available.</p>
-<p>If the <code>right</code> argument is different to the <code>left</code> argument then the data are considered to be censored.</p>
+<p>If the <code>right</code> argument is different to the <code>left</code> argument
+then the data are considered to be censored.</p>
     </div>
     <div class="section level2">
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
@@ -186,11 +171,11 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span>   sdlog 1.24154</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> Distribution 'lnorm_lnorm'</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   meanlog1 0.949487</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   meanlog2 3.20108</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   pmix 0.283994</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   sdlog1 0.554514</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   sdlog2 0.768824</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   meanlog1 0.949483</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   meanlog2 3.20102</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   pmix 0.283968</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   sdlog1 0.554465</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   sdlog2 0.768862</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> Distribution 'weibull'</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>   scale 23.514</span>
@@ -206,7 +191,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">1</span> average       0.05  1.26    <span style="color: #BB0000;">NA</span>    <span style="color: #BB0000;">NA</span>    <span style="color: #BB0000;">NA</span>     1 parametr…     0   <span style="color: #BB0000;">NaN</span> <span style="color: #949494;">&lt;dbl&gt;</span>  </span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -215,14 +200,14 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/ssd_gof.html b/reference/ssd_gof.html
index 375ebce9..636165f1 100644
--- a/reference/ssd_gof.html
+++ b/reference/ssd_gof.html
@@ -1,5 +1,5 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Returns a tbl data frame with the following columns
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Goodness of Fit — ssd_gof • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Goodness of Fit — ssd_gof"><meta name="description" content="Returns a tbl data frame with the following columns
 dist
 The distribution name (chr)
 
@@ -35,7 +35,7 @@
 
 
 where delta and weight are based on aic for censored data
-and aicc for non-censored data."><title>Goodness of Fit — ssd_gof • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Goodness of Fit — ssd_gof"><meta property="og:description" content="Returns a tbl data frame with the following columns
+and aicc for non-censored data."><meta property="og:description" content="Returns a tbl data frame with the following columns
 dist
 The distribution name (chr)
 
@@ -71,55 +71,38 @@
 
 
 where delta and weight are based on aic for censored data
-and aicc for non-censored data."><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+and aicc for non-censored data."><meta property="og:image" content="/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/ssdtools.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../articles/index.html">Articles</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/ssdtools.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Goodness of Fit</h1>
-      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/HEAD/R/gof.R" class="external-link"><code>R/gof.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/main/R/gof.R" class="external-link"><code>R/gof.R</code></a></small>
       <div class="d-none name"><code>ssd_gof.Rd</code></div>
     </div>
 
@@ -163,33 +146,33 @@
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">ssd_gof</span><span class="op">(</span><span class="va">x</span>, <span class="va">...</span><span class="op">)</span></span>
 <span></span>
-<span><span class="co"># S3 method for fitdists</span></span>
+<span><span class="co"># S3 method for class 'fitdists'</span></span>
 <span><span class="fu">ssd_gof</span><span class="op">(</span><span class="va">x</span>, pvalue <span class="op">=</span> <span class="cn">FALSE</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
     </div>
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>x</dt>
+
+
+<dl><dt id="arg-x">x<a class="anchor" aria-label="anchor" href="#arg-x"></a></dt>
 <dd><p>The object.</p></dd>
 
 
-<dt>...</dt>
+<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
 <dd><p>Unused.</p></dd>
 
 
-<dt>pvalue</dt>
+<dt id="arg-pvalue">pvalue<a class="anchor" aria-label="anchor" href="#arg-pvalue"></a></dt>
 <dd><p>A flag specifying whether to return p-values or the statistics (default) for the various tests.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>A tbl data frame of the gof statistics.</p>
+    <p>A tbl data frame of the gof statistics.</p>
     </div>
     <div class="section level2">
     <h2 id="methods-by-class-">Methods (by class)<a class="anchor" aria-label="anchor" href="#methods-by-class-"></a></h2>
-    
+
 <ul><li><p><code>ssd_gof(fitdists)</code>: Goodness of Fit</p></li>
 </ul></div>
     <div class="section level2">
@@ -222,7 +205,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">6</span> weibull     0.434 0.117  0.054<span style="text-decoration: underline;">2</span>  238.  238.  240. 0      0.357</span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -231,14 +214,14 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/ssd_hc.html b/reference/ssd_hc.html
index 664cba2c..f03b7fda 100644
--- a/reference/ssd_hc.html
+++ b/reference/ssd_hc.html
@@ -1,59 +1,42 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Calculates concentration(s) with bootstrap confidence intervals
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Hazard Concentrations for Species Sensitivity Distributions — ssd_hc • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Hazard Concentrations for Species Sensitivity Distributions — ssd_hc"><meta name="description" content="Calculates concentration(s) with bootstrap confidence intervals
 that protect specified proportion(s) of species for
 individual or model-averaged distributions
-using parametric or non-parametric bootstrapping."><title>Hazard Concentrations for Species Sensitivity Distributions — ssd_hc • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Hazard Concentrations for Species Sensitivity Distributions — ssd_hc"><meta property="og:description" content="Calculates concentration(s) with bootstrap confidence intervals
+using parametric or non-parametric bootstrapping."><meta property="og:description" content="Calculates concentration(s) with bootstrap confidence intervals
 that protect specified proportion(s) of species for
 individual or model-averaged distributions
-using parametric or non-parametric bootstrapping."><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+using parametric or non-parametric bootstrapping."><meta property="og:image" content="/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/ssdtools.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../articles/index.html">Articles</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/ssdtools.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Hazard Concentrations for Species Sensitivity Distributions</h1>
-      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/HEAD/R/hc.R" class="external-link"><code>R/hc.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/main/R/hc.R" class="external-link"><code>R/hc.R</code></a></small>
       <div class="d-none name"><code>ssd_hc.Rd</code></div>
     </div>
 
@@ -68,10 +51,10 @@
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">ssd_hc</span><span class="op">(</span><span class="va">x</span>, <span class="va">...</span><span class="op">)</span></span>
 <span></span>
-<span><span class="co"># S3 method for list</span></span>
+<span><span class="co"># S3 method for class 'list'</span></span>
 <span><span class="fu">ssd_hc</span><span class="op">(</span><span class="va">x</span>, <span class="va">percent</span>, proportion <span class="op">=</span> <span class="fl">0.05</span>, <span class="va">...</span><span class="op">)</span></span>
 <span></span>
-<span><span class="co"># S3 method for fitdists</span></span>
+<span><span class="co"># S3 method for class 'fitdists'</span></span>
 <span><span class="fu">ssd_hc</span><span class="op">(</span></span>
 <span>  <span class="va">x</span>,</span>
 <span>  <span class="va">percent</span>,</span>
@@ -91,7 +74,7 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 <span>  <span class="va">...</span></span>
 <span><span class="op">)</span></span>
 <span></span>
-<span><span class="co"># S3 method for fitburrlioz</span></span>
+<span><span class="co"># S3 method for class 'fitburrlioz'</span></span>
 <span><span class="fu">ssd_hc</span><span class="op">(</span></span>
 <span>  <span class="va">x</span>,</span>
 <span>  <span class="va">percent</span>,</span>
@@ -109,79 +92,79 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>x</dt>
+
+
+<dl><dt id="arg-x">x<a class="anchor" aria-label="anchor" href="#arg-x"></a></dt>
 <dd><p>The object.</p></dd>
 
 
-<dt>...</dt>
+<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
 <dd><p>Unused.</p></dd>
 
 
-<dt>percent</dt>
+<dt id="arg-percent">percent<a class="anchor" aria-label="anchor" href="#arg-percent"></a></dt>
 <dd><p>A numeric vector of percent values to estimate hazard concentrations for. Soft-deprecated for <code>proportion = 0.05</code>.</p></dd>
 
 
-<dt>proportion</dt>
+<dt id="arg-proportion">proportion<a class="anchor" aria-label="anchor" href="#arg-proportion"></a></dt>
 <dd><p>A numeric vector of proportion values to estimate hazard concentrations for.</p></dd>
 
 
-<dt>average</dt>
+<dt id="arg-average">average<a class="anchor" aria-label="anchor" href="#arg-average"></a></dt>
 <dd><p>A flag specifying whether to provide model averaged values as opposed to a value for each distribution.</p></dd>
 
 
-<dt>ci</dt>
+<dt id="arg-ci">ci<a class="anchor" aria-label="anchor" href="#arg-ci"></a></dt>
 <dd><p>A flag specifying whether to estimate confidence intervals (by bootstrapping).</p></dd>
 
 
-<dt>level</dt>
+<dt id="arg-level">level<a class="anchor" aria-label="anchor" href="#arg-level"></a></dt>
 <dd><p>A number between 0 and 1 of the confidence level of the interval.</p></dd>
 
 
-<dt>nboot</dt>
+<dt id="arg-nboot">nboot<a class="anchor" aria-label="anchor" href="#arg-nboot"></a></dt>
 <dd><p>A count of the number of bootstrap samples to use to estimate the confidence limits. A value of 10,000 is recommended for official guidelines.</p></dd>
 
 
-<dt>min_pboot</dt>
+<dt id="arg-min-pboot">min_pboot<a class="anchor" aria-label="anchor" href="#arg-min-pboot"></a></dt>
 <dd><p>A number between 0 and 1 of the minimum
 proportion of bootstrap samples that must successfully fit (return a likelihood)
 to report the confidence intervals.</p></dd>
 
 
-<dt>multi_est</dt>
+<dt id="arg-multi-est">multi_est<a class="anchor" aria-label="anchor" href="#arg-multi-est"></a></dt>
 <dd><p>A flag specifying whether to treat the distributions as constituting a single distribution (as opposed to taking the mean) when calculating model averaged estimates.</p></dd>
 
 
-<dt>ci_method</dt>
+<dt id="arg-ci-method">ci_method<a class="anchor" aria-label="anchor" href="#arg-ci-method"></a></dt>
 <dd><p>A string specifying which method to use for estimating the bootstrap values.
 Possible values are "multi_free" and "multi_fixed" which treat the distributions as constituting a single distribution but differ in whether the model weights are fixed and "weighted_samples" and "weighted_arithmetic" take bootstrap samples from each distribution proportional to its weight versus calculating the weighted arithmetic means of the lower and upper confidence limits.</p></dd>
 
 
-<dt>parametric</dt>
+<dt id="arg-parametric">parametric<a class="anchor" aria-label="anchor" href="#arg-parametric"></a></dt>
 <dd><p>A flag specifying whether to perform parametric bootstrapping as opposed to non-parametrically resampling the original data with replacement.</p></dd>
 
 
-<dt>delta</dt>
+<dt id="arg-delta">delta<a class="anchor" aria-label="anchor" href="#arg-delta"></a></dt>
 <dd><p>A non-negative number specifying the maximum absolute AIC difference cutoff.
 Distributions with an absolute AIC difference greater than delta are excluded from the calculations.</p></dd>
 
 
-<dt>samples</dt>
+<dt id="arg-samples">samples<a class="anchor" aria-label="anchor" href="#arg-samples"></a></dt>
 <dd><p>A flag specfying whether to include a numeric vector of the bootstrap samples as a list column in the output.</p></dd>
 
 
-<dt>save_to</dt>
+<dt id="arg-save-to">save_to<a class="anchor" aria-label="anchor" href="#arg-save-to"></a></dt>
 <dd><p>NULL or a string specifying a directory to save where the bootstrap datasets and parameter estimates (when successfully converged) to.</p></dd>
 
 
-<dt>control</dt>
+<dt id="arg-control">control<a class="anchor" aria-label="anchor" href="#arg-control"></a></dt>
 <dd><p>A list of control parameters passed to <code><a href="https://rdrr.io/r/stats/optim.html" class="external-link">stats::optim()</a></code>.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>A tibble of corresponding hazard concentrations.</p>
+    <p>A tibble of corresponding hazard concentrations.</p>
     </div>
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
@@ -208,7 +191,7 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
     </div>
     <div class="section level2">
     <h2 id="methods-by-class-">Methods (by class)<a class="anchor" aria-label="anchor" href="#methods-by-class-"></a></h2>
-    
+
 <ul><li><p><code>ssd_hc(list)</code>: Hazard Concentrations for Distributional Estimates</p></li>
 <li><p><code>ssd_hc(fitdists)</code>: Hazard Concentrations for fitdists Object</p></li>
 <li><p><code>ssd_hc(fitburrlioz)</code>: Hazard Concentrations for fitburrlioz Object</p></li>
@@ -251,7 +234,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">1</span> invpareto       0.05 0.387    <span style="color: #BB0000;">NA</span>    <span style="color: #BB0000;">NA</span>    <span style="color: #BB0000;">NA</span>     1 non-pa…     0    <span style="color: #BB0000;">NA</span> <span style="color: #949494;">&lt;dbl&gt;</span>  </span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -260,14 +243,14 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/ssd_hc_bcanz.html b/reference/ssd_hc_bcanz.html
index 4990406d..d26cd2bf 100644
--- a/reference/ssd_hc_bcanz.html
+++ b/reference/ssd_hc_bcanz.html
@@ -1,59 +1,42 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Gets hazard concentrations with confidence intervals that protect
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>BCANZ Hazard Concentrations — ssd_hc_bcanz • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="BCANZ Hazard Concentrations — ssd_hc_bcanz"><meta name="description" content="Gets hazard concentrations with confidence intervals that protect
 1, 5, 10 and 20% of species using settings adopted by
 BC, Canada, Australia and New Zealand for official guidelines.
-This function can take several minutes to run with recommended 10,000 iterations."><title>BCANZ Hazard Concentrations — ssd_hc_bcanz • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="BCANZ Hazard Concentrations — ssd_hc_bcanz"><meta property="og:description" content="Gets hazard concentrations with confidence intervals that protect
+This function can take several minutes to run with recommended 10,000 iterations."><meta property="og:description" content="Gets hazard concentrations with confidence intervals that protect
 1, 5, 10 and 20% of species using settings adopted by
 BC, Canada, Australia and New Zealand for official guidelines.
-This function can take several minutes to run with recommended 10,000 iterations."><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+This function can take several minutes to run with recommended 10,000 iterations."><meta property="og:image" content="/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/ssdtools.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../articles/index.html">Articles</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/ssdtools.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>BCANZ Hazard Concentrations</h1>
-      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/HEAD/R/bcanz.R" class="external-link"><code>R/bcanz.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/main/R/bcanz.R" class="external-link"><code>R/bcanz.R</code></a></small>
       <div class="d-none name"><code>ssd_hc_bcanz.Rd</code></div>
     </div>
 
@@ -71,15 +54,17 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>x</dt>
+
+
+<dl><dt id="arg-x">x<a class="anchor" aria-label="anchor" href="#arg-x"></a></dt>
 <dd><p>The object.</p></dd>
 
 
-<dt>nboot</dt>
+<dt id="arg-nboot">nboot<a class="anchor" aria-label="anchor" href="#arg-nboot"></a></dt>
 <dd><p>A count of the number of bootstrap samples to use to estimate the confidence limits. A value of 10,000 is recommended for official guidelines.</p></dd>
 
 
-<dt>min_pboot</dt>
+<dt id="arg-min-pboot">min_pboot<a class="anchor" aria-label="anchor" href="#arg-min-pboot"></a></dt>
 <dd><p>A number between 0 and 1 of the minimum
 proportion of bootstrap samples that must successfully fit (return a likelihood)
 to report the confidence intervals.</p></dd>
@@ -87,14 +72,12 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>A tibble of corresponding hazard concentrations.</p>
+    <p>A tibble of corresponding hazard concentrations.</p>
     </div>
     <div class="section level2">
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
     <div class="dont-index"><p><code><a href="ssd_hc.html">ssd_hc()</a></code>.</p>
-<p>Other BCANZ: 
+<p>Other BCANZ:
 <code><a href="ssd_fit_bcanz.html">ssd_fit_bcanz</a>()</code>,
 <code><a href="ssd_hp_bcanz.html">ssd_hp_bcanz</a>()</code></p></div>
     </div>
@@ -112,7 +95,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">4</span> average       0.2  4.81  1.81  2.70    9.50     1 paramet…   100     1 <span style="color: #949494;">&lt;dbl&gt;</span>  </span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -121,14 +104,14 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/ssd_hc_burrlioz.html b/reference/ssd_hc_burrlioz.html
index 886d18fd..f5724bc9 100644
--- a/reference/ssd_hc_burrlioz.html
+++ b/reference/ssd_hc_burrlioz.html
@@ -1,53 +1,36 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Deprecated for ssd_hc()."><title>Hazard Concentrations for Burrlioz Fit  — ssd_hc_burrlioz • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Hazard Concentrations for Burrlioz Fit  — ssd_hc_burrlioz"><meta property="og:description" content="Deprecated for ssd_hc()."><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Hazard Concentrations for Burrlioz Fit  — ssd_hc_burrlioz • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Hazard Concentrations for Burrlioz Fit  — ssd_hc_burrlioz"><meta name="description" content="Deprecated for ssd_hc()."><meta property="og:description" content="Deprecated for ssd_hc()."><meta property="og:image" content="/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/ssdtools.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../articles/index.html">Articles</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/ssdtools.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Hazard Concentrations for Burrlioz Fit <a href="https://lifecycle.r-lib.org/articles/stages.html#deprecated" class="external-link"><img src="figures/lifecycle-deprecated.svg" alt="[Deprecated]"></a></h1>
-      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/HEAD/R/hc-burrlioz.R" class="external-link"><code>R/hc-burrlioz.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/main/R/hc-burrlioz.R" class="external-link"><code>R/hc-burrlioz.R</code></a></small>
       <div class="d-none name"><code>ssd_hc_burrlioz.Rd</code></div>
     </div>
 
@@ -71,61 +54,48 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>x</dt>
+
+
+<dl><dt id="arg-x">x<a class="anchor" aria-label="anchor" href="#arg-x"></a></dt>
 <dd><p>The object.</p></dd>
 
 
-<dt>percent</dt>
+<dt id="arg-percent">percent<a class="anchor" aria-label="anchor" href="#arg-percent"></a></dt>
 <dd><p>A numeric vector of percent values to estimate hazard concentrations for. Soft-deprecated for <code>proportion = 0.05</code>.</p></dd>
 
 
-<dt>proportion</dt>
+<dt id="arg-proportion">proportion<a class="anchor" aria-label="anchor" href="#arg-proportion"></a></dt>
 <dd><p>A numeric vector of proportion values to estimate hazard concentrations for.</p></dd>
 
 
-<dt>ci</dt>
+<dt id="arg-ci">ci<a class="anchor" aria-label="anchor" href="#arg-ci"></a></dt>
 <dd><p>A flag specifying whether to estimate confidence intervals (by bootstrapping).</p></dd>
 
 
-<dt>level</dt>
+<dt id="arg-level">level<a class="anchor" aria-label="anchor" href="#arg-level"></a></dt>
 <dd><p>A number between 0 and 1 of the confidence level of the interval.</p></dd>
 
 
-<dt>nboot</dt>
+<dt id="arg-nboot">nboot<a class="anchor" aria-label="anchor" href="#arg-nboot"></a></dt>
 <dd><p>A count of the number of bootstrap samples to use to estimate the confidence limits. A value of 10,000 is recommended for official guidelines.</p></dd>
 
 
-<dt>min_pboot</dt>
+<dt id="arg-min-pboot">min_pboot<a class="anchor" aria-label="anchor" href="#arg-min-pboot"></a></dt>
 <dd><p>A number between 0 and 1 of the minimum
 proportion of bootstrap samples that must successfully fit (return a likelihood)
 to report the confidence intervals.</p></dd>
 
 
-<dt>parametric</dt>
+<dt id="arg-parametric">parametric<a class="anchor" aria-label="anchor" href="#arg-parametric"></a></dt>
 <dd><p>A flag specifying whether to perform parametric bootstrapping as opposed to non-parametrically resampling the original data with replacement.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>A tibble of corresponding hazard concentrations.</p>
+    <p>A tibble of corresponding hazard concentrations.</p>
     </div>
 
-    <div class="section level2">
-    <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="va">fit</span> <span class="op">&lt;-</span> <span class="fu"><a href="ssd_fit_burrlioz.html">ssd_fit_burrlioz</a></span><span class="op">(</span><span class="fu">ssddata</span><span class="fu">::</span><span class="va"><a href="https://rdrr.io/pkg/ssddata/man/ccme_boron.html" class="external-link">ccme_boron</a></span><span class="op">)</span></span></span>
-<span class="r-in"><span><span class="fu">ssd_hc_burrlioz</span><span class="op">(</span><span class="va">fit</span><span class="op">)</span></span></span>
-<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>`ssd_hc_burrlioz()` was deprecated in ssdtools 0.3.5.</span>
-<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span style="color: #00BBBB;">ℹ</span> Please use `ssd_hc()` instead.</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 1 × 11</span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   dist      proportion   est    se   lcl   ucl    wt method  nboot pboot samples</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>          <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>   <span style="color: #949494; font-style: italic;">&lt;int&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;I&lt;lis&gt;</span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">1</span> invpareto       0.05 0.387    <span style="color: #BB0000;">NA</span>    <span style="color: #BB0000;">NA</span>    <span style="color: #BB0000;">NA</span>     1 non-pa…     0    <span style="color: #BB0000;">NA</span> <span style="color: #949494;">&lt;dbl&gt;</span>  </span>
-<span class="r-in"><span></span></span>
-</code></pre></div>
-    </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -134,14 +104,14 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/ssd_hp.html b/reference/ssd_hp.html
index a0728540..1b700252 100644
--- a/reference/ssd_hp.html
+++ b/reference/ssd_hp.html
@@ -1,61 +1,44 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Calculates proportion of species affected at specified concentration(s)
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Hazard Proportion — ssd_hp • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Hazard Proportion — ssd_hp"><meta name="description" content="Calculates proportion of species affected at specified concentration(s)
 with quantile based bootstrap confidence intervals for
 individual or model-averaged distributions
 using parametric or non-parametric bootstrapping.
-For more information see the inverse function ssd_hc()."><title>Hazard Proportion — ssd_hp • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Hazard Proportion — ssd_hp"><meta property="og:description" content="Calculates proportion of species affected at specified concentration(s)
+For more information see the inverse function ssd_hc()."><meta property="og:description" content="Calculates proportion of species affected at specified concentration(s)
 with quantile based bootstrap confidence intervals for
 individual or model-averaged distributions
 using parametric or non-parametric bootstrapping.
-For more information see the inverse function ssd_hc()."><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+For more information see the inverse function ssd_hc()."><meta property="og:image" content="/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/ssdtools.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../articles/index.html">Articles</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/ssdtools.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Hazard Proportion</h1>
-      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/HEAD/R/hp.R" class="external-link"><code>R/hp.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/main/R/hp.R" class="external-link"><code>R/hp.R</code></a></small>
       <div class="d-none name"><code>ssd_hp.Rd</code></div>
     </div>
 
@@ -71,7 +54,7 @@
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">ssd_hp</span><span class="op">(</span><span class="va">x</span>, <span class="va">...</span><span class="op">)</span></span>
 <span></span>
-<span><span class="co"># S3 method for fitdists</span></span>
+<span><span class="co"># S3 method for class 'fitdists'</span></span>
 <span><span class="fu">ssd_hp</span><span class="op">(</span></span>
 <span>  <span class="va">x</span>,</span>
 <span>  conc <span class="op">=</span> <span class="fl">1</span>,</span>
@@ -90,7 +73,7 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 <span>  <span class="va">...</span></span>
 <span><span class="op">)</span></span>
 <span></span>
-<span><span class="co"># S3 method for fitburrlioz</span></span>
+<span><span class="co"># S3 method for class 'fitburrlioz'</span></span>
 <span><span class="fu">ssd_hp</span><span class="op">(</span></span>
 <span>  <span class="va">x</span>,</span>
 <span>  conc <span class="op">=</span> <span class="fl">1</span>,</span>
@@ -107,79 +90,79 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>x</dt>
+
+
+<dl><dt id="arg-x">x<a class="anchor" aria-label="anchor" href="#arg-x"></a></dt>
 <dd><p>The object.</p></dd>
 
 
-<dt>...</dt>
+<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
 <dd><p>Unused.</p></dd>
 
 
-<dt>conc</dt>
+<dt id="arg-conc">conc<a class="anchor" aria-label="anchor" href="#arg-conc"></a></dt>
 <dd><p>A numeric vector of concentrations to calculate the hazard proportions for.</p></dd>
 
 
-<dt>average</dt>
+<dt id="arg-average">average<a class="anchor" aria-label="anchor" href="#arg-average"></a></dt>
 <dd><p>A flag specifying whether to provide model averaged values as opposed to a value for each distribution.</p></dd>
 
 
-<dt>ci</dt>
+<dt id="arg-ci">ci<a class="anchor" aria-label="anchor" href="#arg-ci"></a></dt>
 <dd><p>A flag specifying whether to estimate confidence intervals (by bootstrapping).</p></dd>
 
 
-<dt>level</dt>
+<dt id="arg-level">level<a class="anchor" aria-label="anchor" href="#arg-level"></a></dt>
 <dd><p>A number between 0 and 1 of the confidence level of the interval.</p></dd>
 
 
-<dt>nboot</dt>
+<dt id="arg-nboot">nboot<a class="anchor" aria-label="anchor" href="#arg-nboot"></a></dt>
 <dd><p>A count of the number of bootstrap samples to use to estimate the confidence limits. A value of 10,000 is recommended for official guidelines.</p></dd>
 
 
-<dt>min_pboot</dt>
+<dt id="arg-min-pboot">min_pboot<a class="anchor" aria-label="anchor" href="#arg-min-pboot"></a></dt>
 <dd><p>A number between 0 and 1 of the minimum
 proportion of bootstrap samples that must successfully fit (return a likelihood)
 to report the confidence intervals.</p></dd>
 
 
-<dt>multi_est</dt>
+<dt id="arg-multi-est">multi_est<a class="anchor" aria-label="anchor" href="#arg-multi-est"></a></dt>
 <dd><p>A flag specifying whether to treat the distributions as constituting a single distribution (as opposed to taking the mean) when calculating model averaged estimates.</p></dd>
 
 
-<dt>ci_method</dt>
+<dt id="arg-ci-method">ci_method<a class="anchor" aria-label="anchor" href="#arg-ci-method"></a></dt>
 <dd><p>A string specifying which method to use for estimating the bootstrap values.
 Possible values are "multi_free" and "multi_fixed" which treat the distributions as constituting a single distribution but differ in whether the model weights are fixed and "weighted_samples" and "weighted_arithmetic" take bootstrap samples from each distribution proportional to its weight versus calculating the weighted arithmetic means of the lower and upper confidence limits.</p></dd>
 
 
-<dt>parametric</dt>
+<dt id="arg-parametric">parametric<a class="anchor" aria-label="anchor" href="#arg-parametric"></a></dt>
 <dd><p>A flag specifying whether to perform parametric bootstrapping as opposed to non-parametrically resampling the original data with replacement.</p></dd>
 
 
-<dt>delta</dt>
+<dt id="arg-delta">delta<a class="anchor" aria-label="anchor" href="#arg-delta"></a></dt>
 <dd><p>A non-negative number specifying the maximum absolute AIC difference cutoff.
 Distributions with an absolute AIC difference greater than delta are excluded from the calculations.</p></dd>
 
 
-<dt>samples</dt>
+<dt id="arg-samples">samples<a class="anchor" aria-label="anchor" href="#arg-samples"></a></dt>
 <dd><p>A flag specfying whether to include a numeric vector of the bootstrap samples as a list column in the output.</p></dd>
 
 
-<dt>save_to</dt>
+<dt id="arg-save-to">save_to<a class="anchor" aria-label="anchor" href="#arg-save-to"></a></dt>
 <dd><p>NULL or a string specifying a directory to save where the bootstrap datasets and parameter estimates (when successfully converged) to.</p></dd>
 
 
-<dt>control</dt>
+<dt id="arg-control">control<a class="anchor" aria-label="anchor" href="#arg-control"></a></dt>
 <dd><p>A list of control parameters passed to <code><a href="https://rdrr.io/r/stats/optim.html" class="external-link">stats::optim()</a></code>.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>A tibble of corresponding hazard proportions.</p>
+    <p>A tibble of corresponding hazard proportions.</p>
     </div>
     <div class="section level2">
     <h2 id="methods-by-class-">Methods (by class)<a class="anchor" aria-label="anchor" href="#methods-by-class-"></a></h2>
-    
+
 <ul><li><p><code>ssd_hp(fitdists)</code>: Hazard Proportions for fitdists Object</p></li>
 <li><p><code>ssd_hp(fitburrlioz)</code>: Hazard Proportions for fitburrlioz Object</p></li>
 </ul></div>
@@ -205,7 +188,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">1</span> invpareto     1  8.58    <span style="color: #BB0000;">NA</span>    <span style="color: #BB0000;">NA</span>    <span style="color: #BB0000;">NA</span>     1 non-paramet…     0    <span style="color: #BB0000;">NA</span> <span style="color: #949494;">&lt;dbl&gt;</span>  </span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -214,14 +197,14 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/ssd_hp_bcanz.html b/reference/ssd_hp_bcanz.html
index 36a4e3fb..bd79fdd8 100644
--- a/reference/ssd_hp_bcanz.html
+++ b/reference/ssd_hp_bcanz.html
@@ -1,57 +1,40 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Gets  proportion of species affected at specified concentration(s)
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>BCANZ Hazard Proportion — ssd_hp_bcanz • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="BCANZ Hazard Proportion — ssd_hp_bcanz"><meta name="description" content="Gets  proportion of species affected at specified concentration(s)
 using settings adopted by BC, Canada, Australia and New Zealand for official guidelines.
-This function can take several minutes to run with recommended 10,000 iterations."><title>BCANZ Hazard Proportion — ssd_hp_bcanz • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="BCANZ Hazard Proportion — ssd_hp_bcanz"><meta property="og:description" content="Gets  proportion of species affected at specified concentration(s)
+This function can take several minutes to run with recommended 10,000 iterations."><meta property="og:description" content="Gets  proportion of species affected at specified concentration(s)
 using settings adopted by BC, Canada, Australia and New Zealand for official guidelines.
-This function can take several minutes to run with recommended 10,000 iterations."><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+This function can take several minutes to run with recommended 10,000 iterations."><meta property="og:image" content="/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/ssdtools.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../articles/index.html">Articles</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/ssdtools.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>BCANZ Hazard Proportion</h1>
-      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/HEAD/R/bcanz.R" class="external-link"><code>R/bcanz.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/main/R/bcanz.R" class="external-link"><code>R/bcanz.R</code></a></small>
       <div class="d-none name"><code>ssd_hp_bcanz.Rd</code></div>
     </div>
 
@@ -68,19 +51,21 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>x</dt>
+
+
+<dl><dt id="arg-x">x<a class="anchor" aria-label="anchor" href="#arg-x"></a></dt>
 <dd><p>The object.</p></dd>
 
 
-<dt>conc</dt>
+<dt id="arg-conc">conc<a class="anchor" aria-label="anchor" href="#arg-conc"></a></dt>
 <dd><p>A numeric vector of concentrations to calculate the hazard proportions for.</p></dd>
 
 
-<dt>nboot</dt>
+<dt id="arg-nboot">nboot<a class="anchor" aria-label="anchor" href="#arg-nboot"></a></dt>
 <dd><p>A count of the number of bootstrap samples to use to estimate the confidence limits. A value of 10,000 is recommended for official guidelines.</p></dd>
 
 
-<dt>min_pboot</dt>
+<dt id="arg-min-pboot">min_pboot<a class="anchor" aria-label="anchor" href="#arg-min-pboot"></a></dt>
 <dd><p>A number between 0 and 1 of the minimum
 proportion of bootstrap samples that must successfully fit (return a likelihood)
 to report the confidence intervals.</p></dd>
@@ -88,14 +73,12 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>A tibble of corresponding hazard concentrations.</p>
+    <p>A tibble of corresponding hazard concentrations.</p>
     </div>
     <div class="section level2">
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
     <div class="dont-index"><p><code><a href="ssd_hp.html">ssd_hp()</a></code>.</p>
-<p>Other BCANZ: 
+<p>Other BCANZ:
 <code><a href="ssd_fit_bcanz.html">ssd_fit_bcanz</a>()</code>,
 <code><a href="ssd_hc_bcanz.html">ssd_hc_bcanz</a>()</code></p></div>
     </div>
@@ -110,7 +93,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">1</span> average     1  3.90  2.84 0.393  10.9     1 parametric   100     1 <span style="color: #949494;">&lt;dbl [0]&gt;</span></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -119,14 +102,14 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/ssd_is_censored.html b/reference/ssd_is_censored.html
index 7bcb646b..1ffb6afe 100644
--- a/reference/ssd_is_censored.html
+++ b/reference/ssd_is_censored.html
@@ -1,57 +1,40 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Tests if an object has censored data.
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Is Censored — ssd_is_censored • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Is Censored — ssd_is_censored"><meta name="description" content="Tests if an object has censored data.
 Test if a data frame is censored.
-Test if a fitdists object is censored."><title>Is Censored — ssd_is_censored • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Is Censored — ssd_is_censored"><meta property="og:description" content="Tests if an object has censored data.
+Test if a fitdists object is censored."><meta property="og:description" content="Tests if an object has censored data.
 Test if a data frame is censored.
-Test if a fitdists object is censored."><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+Test if a fitdists object is censored."><meta property="og:image" content="/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/ssdtools.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../articles/index.html">Articles</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/ssdtools.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Is Censored</h1>
-      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/HEAD/R/censored.R" class="external-link"><code>R/censored.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/main/R/censored.R" class="external-link"><code>R/censored.R</code></a></small>
       <div class="d-none name"><code>ssd_is_censored.Rd</code></div>
     </div>
 
@@ -65,36 +48,36 @@
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">ssd_is_censored</span><span class="op">(</span><span class="va">x</span>, <span class="va">...</span><span class="op">)</span></span>
 <span></span>
-<span><span class="co"># S3 method for data.frame</span></span>
+<span><span class="co"># S3 method for class 'data.frame'</span></span>
 <span><span class="fu">ssd_is_censored</span><span class="op">(</span><span class="va">x</span>, left <span class="op">=</span> <span class="st">"Conc"</span>, right <span class="op">=</span> <span class="va">left</span>, <span class="va">...</span><span class="op">)</span></span>
 <span></span>
-<span><span class="co"># S3 method for fitdists</span></span>
+<span><span class="co"># S3 method for class 'fitdists'</span></span>
 <span><span class="fu">ssd_is_censored</span><span class="op">(</span><span class="va">x</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
     </div>
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>x</dt>
+
+
+<dl><dt id="arg-x">x<a class="anchor" aria-label="anchor" href="#arg-x"></a></dt>
 <dd><p>The object.</p></dd>
 
 
-<dt>...</dt>
+<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
 <dd><p>Unused.</p></dd>
 
 
-<dt>left</dt>
+<dt id="arg-left">left<a class="anchor" aria-label="anchor" href="#arg-left"></a></dt>
 <dd><p>A string of the column in data with the concentrations.</p></dd>
 
 
-<dt>right</dt>
+<dt id="arg-right">right<a class="anchor" aria-label="anchor" href="#arg-right"></a></dt>
 <dd><p>A string of the column in data with the right concentration values.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>A flag indicating whether an object is censored.</p>
+    <p>A flag indicating whether an object is censored.</p>
     </div>
 
     <div class="section level2">
@@ -110,7 +93,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> [1] FALSE</span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -119,14 +102,14 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/ssd_label_comma-1.png b/reference/ssd_label_comma-1.png
new file mode 100644
index 00000000..96b563b5
Binary files /dev/null and b/reference/ssd_label_comma-1.png differ
diff --git a/reference/ssd_label_comma.html b/reference/ssd_label_comma.html
new file mode 100644
index 00000000..eeeb165f
--- /dev/null
+++ b/reference/ssd_label_comma.html
@@ -0,0 +1,99 @@
+<!DOCTYPE html>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Label numbers with significant digits and comma — ssd_label_comma • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Label numbers with significant digits and comma — ssd_label_comma"><meta name="description" content="Label numbers with significant digits and comma"><meta property="og:description" content="Label numbers with significant digits and comma"><meta property="og:image" content="/logo.png"></head><body>
+    <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
+
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
+    <a class="navbar-brand me-2" href="../index.html">ssdtools</a>
+
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
+
+    <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
+      <span class="navbar-toggler-icon"></span>
+    </button>
+
+    <div id="navbar" class="collapse navbar-collapse ms-3">
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/ssdtools.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
+      </ul></div>
+
+
+  </div>
+</nav><div class="container template-reference-topic">
+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Label numbers with significant digits and comma</h1>
+      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/main/R/scales.R" class="external-link"><code>R/scales.R</code></a></small>
+      <div class="d-none name"><code>ssd_label_comma.Rd</code></div>
+    </div>
+
+    <div class="ref-description section level2">
+    <p>Label numbers with significant digits and comma</p>
+    </div>
+
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">ssd_label_comma</span><span class="op">(</span>digits <span class="op">=</span> <span class="fl">3</span>, <span class="va">...</span>, big.mark <span class="op">=</span> <span class="st">","</span><span class="op">)</span></span></code></pre></div>
+    </div>
+
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-digits">digits<a class="anchor" aria-label="anchor" href="#arg-digits"></a></dt>
+<dd><p>A whole number specifying the number of significant figures.</p></dd>
+
+
+<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
+<dd><p>Unused.</p></dd>
+
+
+<dt id="arg-big-mark">big.mark<a class="anchor" aria-label="anchor" href="#arg-big-mark"></a></dt>
+<dd><p>A string specifying used between every 3 digits to separate thousands on the x-axis.</p></dd>
+
+</dl></div>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p>A "labelling" function that takes a vector x and
+returns a character vector of <code>length(x)</code> giving a label for each input value.</p>
+    </div>
+    <div class="section level2">
+    <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
+    <div class="dont-index"><p><code><a href="https://scales.r-lib.org/reference/label_number.html" class="external-link">scales::label_comma()</a></code></p></div>
+    </div>
+
+    <div class="section level2">
+    <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="fu">ggplot2</span><span class="fu">::</span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/ggplot.html" class="external-link">ggplot</a></span><span class="op">(</span>data <span class="op">=</span> <span class="fu">ssddata</span><span class="fu">::</span><span class="va"><a href="https://rdrr.io/pkg/ssddata/man/anon_e.html" class="external-link">anon_e</a></span>, <span class="fu">ggplot2</span><span class="fu">::</span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/aes.html" class="external-link">aes</a></span><span class="op">(</span>x <span class="op">=</span> <span class="va">Conc</span> <span class="op">/</span> <span class="fl">10</span><span class="op">)</span><span class="op">)</span> <span class="op">+</span></span></span>
+<span class="r-in"><span>  <span class="fu"><a href="geom_ssdpoint.html">geom_ssdpoint</a></span><span class="op">(</span><span class="op">)</span> <span class="op">+</span></span></span>
+<span class="r-in"><span>  <span class="fu">ggplot2</span><span class="fu">::</span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/scale_continuous.html" class="external-link">scale_x_log10</a></span><span class="op">(</span>labels <span class="op">=</span> <span class="fu">ssd_label_comma</span><span class="op">(</span><span class="op">)</span><span class="op">)</span></span></span>
+<span class="r-plt img"><img src="ssd_label_comma-1.png" alt="" width="700" height="433"></span>
+</code></pre></div>
+    </div>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
+    </nav></aside></div>
+
+
+    <footer><div class="pkgdown-footer-left">
+  <p>Developed by <a href="https://github.com/joethorley" class="external-link">Joe Thorley</a>, <a href="https://www.aims.gov.au/about/our-people/dr-rebecca-fisher" class="external-link">Rebecca Fisher</a>, <a href="https://training.ecotox.science/who-we-are/" class="external-link">David Fox</a>, <a href="https://www.sfu.ca/stat-actsci/department/profiles/carl-schwarz.html" class="external-link">Carl Schwarz</a>, <a href="https://www2.gov.bc.ca/" class="external-link">Province of British Columbia</a>, <a href="https://www.canada.ca/en/environment-climate-change.html" class="external-link">Environment and Climate Change Canada</a>, <a href="https://www.dcceew.gov.au/" class="external-link">Australian Government Department of Climate Change, Energy, the Environment and Water</a>.</p>
+</div>
+
+<div class="pkgdown-footer-right">
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
+</div>
+
+    </footer></div>
+
+
+
+
+
+  </body></html>
+
diff --git a/reference/ssd_licensing_md.html b/reference/ssd_licensing_md.html
new file mode 100644
index 00000000..1f9cc504
--- /dev/null
+++ b/reference/ssd_licensing_md.html
@@ -0,0 +1,75 @@
+<!DOCTYPE html>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Licensing Markdown — ssd_licensing_md • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Licensing Markdown — ssd_licensing_md"><meta name="description" content="A string of markdown code indicating the licensing of the code
+and documentation"><meta property="og:description" content="A string of markdown code indicating the licensing of the code
+and documentation"><meta property="og:image" content="/logo.png"></head><body>
+    <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
+
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
+    <a class="navbar-brand me-2" href="../index.html">ssdtools</a>
+
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
+
+    <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
+      <span class="navbar-toggler-icon"></span>
+    </button>
+
+    <div id="navbar" class="collapse navbar-collapse ms-3">
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/ssdtools.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
+      </ul></div>
+
+
+  </div>
+</nav><div class="container template-reference-topic">
+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Licensing Markdown</h1>
+      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/main/R/licensing.R" class="external-link"><code>R/licensing.R</code></a></small>
+      <div class="d-none name"><code>ssd_licensing_md.Rd</code></div>
+    </div>
+
+    <div class="ref-description section level2">
+    <p>A string of markdown code indicating the licensing of the code
+and documentation</p>
+    </div>
+
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">ssd_licensing_md</span><span class="op">(</span><span class="op">)</span></span></code></pre></div>
+    </div>
+
+
+    <div class="section level2">
+    <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="fu">ssd_licensing_md</span><span class="op">(</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [1] "## Licensing\n  Copyright 2018-2024 Province of British Columbia\\\n  Copyright 2021 Environment and Climate Change Canada\\\n  Copyright 2023-2024 Australian Government Department of Climate Change, Energy, the Environment and Water\n\n  The documentation is released under the\n  [CC BY 4.0 License](https://creativecommons.org/licenses/by/4.0/)\n\n  The code is released under the\n  [Apache License 2.0](https://www.apache.org/licenses/LICENSE-2.0)\n"</span>
+</code></pre></div>
+    </div>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
+    </nav></aside></div>
+
+
+    <footer><div class="pkgdown-footer-left">
+  <p>Developed by <a href="https://github.com/joethorley" class="external-link">Joe Thorley</a>, <a href="https://www.aims.gov.au/about/our-people/dr-rebecca-fisher" class="external-link">Rebecca Fisher</a>, <a href="https://training.ecotox.science/who-we-are/" class="external-link">David Fox</a>, <a href="https://www.sfu.ca/stat-actsci/department/profiles/carl-schwarz.html" class="external-link">Carl Schwarz</a>, <a href="https://www2.gov.bc.ca/" class="external-link">Province of British Columbia</a>, <a href="https://www.canada.ca/en/environment-climate-change.html" class="external-link">Environment and Climate Change Canada</a>, <a href="https://www.dcceew.gov.au/" class="external-link">Australian Government Department of Climate Change, Energy, the Environment and Water</a>.</p>
+</div>
+
+<div class="pkgdown-footer-right">
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
+</div>
+
+    </footer></div>
+
+
+
+
+
+  </body></html>
+
diff --git a/reference/ssd_match_moments-1.png b/reference/ssd_match_moments-1.png
index 3f0c016d..6f4fcccd 100644
Binary files a/reference/ssd_match_moments-1.png and b/reference/ssd_match_moments-1.png differ
diff --git a/reference/ssd_match_moments.html b/reference/ssd_match_moments.html
index f4646775..35e8bcb0 100644
--- a/reference/ssd_match_moments.html
+++ b/reference/ssd_match_moments.html
@@ -1,55 +1,38 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Gets a named list of the values that produce
-the moment values (meanlog and sdlog) by distribution and term."><title>Match Moments — ssd_match_moments • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Match Moments — ssd_match_moments"><meta property="og:description" content="Gets a named list of the values that produce
-the moment values (meanlog and sdlog) by distribution and term."><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Match Moments — ssd_match_moments • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Match Moments — ssd_match_moments"><meta name="description" content="Gets a named list of the values that produce
+the moment values (meanlog and sdlog) by distribution and term."><meta property="og:description" content="Gets a named list of the values that produce
+the moment values (meanlog and sdlog) by distribution and term."><meta property="og:image" content="/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/ssdtools.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../articles/index.html">Articles</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/ssdtools.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Match Moments</h1>
-      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/HEAD/R/match-moments.R" class="external-link"><code>R/match-moments.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/main/R/match-moments.R" class="external-link"><code>R/match-moments.R</code></a></small>
       <div class="d-none name"><code>ssd_match_moments.Rd</code></div>
     </div>
 
@@ -70,27 +53,27 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>dists</dt>
+
+
+<dl><dt id="arg-dists">dists<a class="anchor" aria-label="anchor" href="#arg-dists"></a></dt>
 <dd><p>A character vector of the distribution names.</p></dd>
 
 
-<dt>meanlog</dt>
+<dt id="arg-meanlog">meanlog<a class="anchor" aria-label="anchor" href="#arg-meanlog"></a></dt>
 <dd><p>The mean on the log scale.</p></dd>
 
 
-<dt>sdlog</dt>
+<dt id="arg-sdlog">sdlog<a class="anchor" aria-label="anchor" href="#arg-sdlog"></a></dt>
 <dd><p>The standard deviation on the log scale.</p></dd>
 
 
-<dt>nsim</dt>
+<dt id="arg-nsim">nsim<a class="anchor" aria-label="anchor" href="#arg-nsim"></a></dt>
 <dd><p>A positive whole number of the number of simulations to generate.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>a named list of the values that produce the moment values by distribution and term.</p>
+    <p>a named list of the values that produce the moment values by distribution and term.</p>
     </div>
     <div class="section level2">
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
@@ -139,7 +122,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-plt img"><img src="ssd_match_moments-1.png" alt="" width="700" height="433"></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -148,14 +131,14 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/ssd_min_pmix.html b/reference/ssd_min_pmix.html
new file mode 100644
index 00000000..09ba6d61
--- /dev/null
+++ b/reference/ssd_min_pmix.html
@@ -0,0 +1,90 @@
+<!DOCTYPE html>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Calculate Minimum Proportion in Mixture Models — ssd_min_pmix • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Calculate Minimum Proportion in Mixture Models — ssd_min_pmix"><meta name="description" content="Calculate Minimum Proportion in Mixture Models"><meta property="og:description" content="Calculate Minimum Proportion in Mixture Models"><meta property="og:image" content="/logo.png"></head><body>
+    <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
+
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
+    <a class="navbar-brand me-2" href="../index.html">ssdtools</a>
+
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
+
+    <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
+      <span class="navbar-toggler-icon"></span>
+    </button>
+
+    <div id="navbar" class="collapse navbar-collapse ms-3">
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/ssdtools.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
+      </ul></div>
+
+
+  </div>
+</nav><div class="container template-reference-topic">
+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Calculate Minimum Proportion in Mixture Models</h1>
+      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/main/R/min-pmix.R" class="external-link"><code>R/min-pmix.R</code></a></small>
+      <div class="d-none name"><code>ssd_min_pmix.Rd</code></div>
+    </div>
+
+    <div class="ref-description section level2">
+    <p>Calculate Minimum Proportion in Mixture Models</p>
+    </div>
+
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">ssd_min_pmix</span><span class="op">(</span><span class="va">n</span><span class="op">)</span></span></code></pre></div>
+    </div>
+
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-n">n<a class="anchor" aria-label="anchor" href="#arg-n"></a></dt>
+<dd><p>positive number of observations.</p></dd>
+
+</dl></div>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p>A number between 0 and 0.5 of the minimum proportion in mixture models.</p>
+    </div>
+    <div class="section level2">
+    <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
+    <div class="dont-index"><p><code><a href="ssd_fit_dists.html">ssd_fit_dists()</a></code></p></div>
+    </div>
+
+    <div class="section level2">
+    <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="fu">ssd_min_pmix</span><span class="op">(</span><span class="fl">6</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 0.5</span>
+<span class="r-in"><span><span class="fu">ssd_min_pmix</span><span class="op">(</span><span class="fl">50</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 0.1</span>
+</code></pre></div>
+    </div>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
+    </nav></aside></div>
+
+
+    <footer><div class="pkgdown-footer-left">
+  <p>Developed by <a href="https://github.com/joethorley" class="external-link">Joe Thorley</a>, <a href="https://www.aims.gov.au/about/our-people/dr-rebecca-fisher" class="external-link">Rebecca Fisher</a>, <a href="https://training.ecotox.science/who-we-are/" class="external-link">David Fox</a>, <a href="https://www.sfu.ca/stat-actsci/department/profiles/carl-schwarz.html" class="external-link">Carl Schwarz</a>, <a href="https://www2.gov.bc.ca/" class="external-link">Province of British Columbia</a>, <a href="https://www.canada.ca/en/environment-climate-change.html" class="external-link">Environment and Climate Change Canada</a>, <a href="https://www.dcceew.gov.au/" class="external-link">Australian Government Department of Climate Change, Energy, the Environment and Water</a>.</p>
+</div>
+
+<div class="pkgdown-footer-right">
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
+</div>
+
+    </footer></div>
+
+
+
+
+
+  </body></html>
+
diff --git a/reference/ssd_p.html b/reference/ssd_p.html
index da78203a..bb8dcdd4 100644
--- a/reference/ssd_p.html
+++ b/reference/ssd_p.html
@@ -1,53 +1,36 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Cumulative Distribution Function"><title>Cumulative Distribution Function — ssd_pburrIII3 • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Cumulative Distribution Function — ssd_pburrIII3"><meta property="og:description" content="Cumulative Distribution Function"><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Cumulative Distribution Function — ssd_pburrIII3 • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Cumulative Distribution Function — ssd_pburrIII3"><meta name="description" content="Cumulative Distribution Function"><meta property="og:description" content="Cumulative Distribution Function"><meta property="og:image" content="/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/ssdtools.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../articles/index.html">Articles</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/ssdtools.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Cumulative Distribution Function</h1>
-      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/HEAD/R/burrrIII3.R" class="external-link"><code>R/burrrIII3.R</code></a>, <a href="https://github.com/bcgov/ssdtools/blob/HEAD/R/gamma.R" class="external-link"><code>R/gamma.R</code></a>, <a href="https://github.com/bcgov/ssdtools/blob/HEAD/R/gompertz.R" class="external-link"><code>R/gompertz.R</code></a>, and 9 more</small>
+      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/main/R/burrrIII3.R" class="external-link"><code>R/burrrIII3.R</code></a>, <a href="https://github.com/bcgov/ssdtools/blob/main/R/gamma.R" class="external-link"><code>R/gamma.R</code></a>, <a href="https://github.com/bcgov/ssdtools/blob/main/R/gompertz.R" class="external-link"><code>R/gompertz.R</code></a>, and 9 more</small>
       <div class="d-none name"><code>ssd_p.Rd</code></div>
     </div>
 
@@ -154,241 +137,243 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>q</dt>
+
+
+<dl><dt id="arg-q">q<a class="anchor" aria-label="anchor" href="#arg-q"></a></dt>
 <dd><p>vector of quantiles.</p></dd>
 
 
-<dt>shape1</dt>
+<dt id="arg-shape-">shape1<a class="anchor" aria-label="anchor" href="#arg-shape-"></a></dt>
 <dd><p>shape1 parameter.</p></dd>
 
 
-<dt>shape2</dt>
+<dt id="arg-shape-">shape2<a class="anchor" aria-label="anchor" href="#arg-shape-"></a></dt>
 <dd><p>shape2 parameter.</p></dd>
 
 
-<dt>scale</dt>
+<dt id="arg-scale">scale<a class="anchor" aria-label="anchor" href="#arg-scale"></a></dt>
 <dd><p>scale parameter.</p></dd>
 
 
-<dt>lower.tail</dt>
+<dt id="arg-lower-tail">lower.tail<a class="anchor" aria-label="anchor" href="#arg-lower-tail"></a></dt>
 <dd><p>logical; if TRUE (default), probabilities are <code>P[X &lt;= x]</code>, otherwise, <code>P[X &gt; x]</code>.</p></dd>
 
 
-<dt>log.p</dt>
+<dt id="arg-log-p">log.p<a class="anchor" aria-label="anchor" href="#arg-log-p"></a></dt>
 <dd><p>logical; if TRUE, probabilities p are given as log(p).</p></dd>
 
 
-<dt>shape</dt>
+<dt id="arg-shape">shape<a class="anchor" aria-label="anchor" href="#arg-shape"></a></dt>
 <dd><p>shape parameter.</p></dd>
 
 
-<dt>location</dt>
+<dt id="arg-location">location<a class="anchor" aria-label="anchor" href="#arg-location"></a></dt>
 <dd><p>location parameter.</p></dd>
 
 
-<dt>locationlog</dt>
+<dt id="arg-locationlog">locationlog<a class="anchor" aria-label="anchor" href="#arg-locationlog"></a></dt>
 <dd><p>location on the log scale parameter.</p></dd>
 
 
-<dt>scalelog</dt>
+<dt id="arg-scalelog">scalelog<a class="anchor" aria-label="anchor" href="#arg-scalelog"></a></dt>
 <dd><p>scale on log scale parameter.</p></dd>
 
 
-<dt>locationlog1</dt>
+<dt id="arg-locationlog-">locationlog1<a class="anchor" aria-label="anchor" href="#arg-locationlog-"></a></dt>
 <dd><p>locationlog1 parameter.</p></dd>
 
 
-<dt>scalelog1</dt>
+<dt id="arg-scalelog-">scalelog1<a class="anchor" aria-label="anchor" href="#arg-scalelog-"></a></dt>
 <dd><p>scalelog1 parameter.</p></dd>
 
 
-<dt>locationlog2</dt>
+<dt id="arg-locationlog-">locationlog2<a class="anchor" aria-label="anchor" href="#arg-locationlog-"></a></dt>
 <dd><p>locationlog2 parameter.</p></dd>
 
 
-<dt>scalelog2</dt>
+<dt id="arg-scalelog-">scalelog2<a class="anchor" aria-label="anchor" href="#arg-scalelog-"></a></dt>
 <dd><p>scalelog2 parameter.</p></dd>
 
 
-<dt>pmix</dt>
+<dt id="arg-pmix">pmix<a class="anchor" aria-label="anchor" href="#arg-pmix"></a></dt>
 <dd><p>Proportion mixture parameter.</p></dd>
 
 
-<dt>meanlog1</dt>
+<dt id="arg-meanlog-">meanlog1<a class="anchor" aria-label="anchor" href="#arg-meanlog-"></a></dt>
 <dd><p>mean on log scale parameter.</p></dd>
 
 
-<dt>sdlog1</dt>
+<dt id="arg-sdlog-">sdlog1<a class="anchor" aria-label="anchor" href="#arg-sdlog-"></a></dt>
 <dd><p>standard deviation on log scale parameter.</p></dd>
 
 
-<dt>meanlog2</dt>
+<dt id="arg-meanlog-">meanlog2<a class="anchor" aria-label="anchor" href="#arg-meanlog-"></a></dt>
 <dd><p>mean on log scale parameter.</p></dd>
 
 
-<dt>sdlog2</dt>
+<dt id="arg-sdlog-">sdlog2<a class="anchor" aria-label="anchor" href="#arg-sdlog-"></a></dt>
 <dd><p>standard deviation on log scale parameter.</p></dd>
 
 
-<dt>meanlog</dt>
+<dt id="arg-meanlog">meanlog<a class="anchor" aria-label="anchor" href="#arg-meanlog"></a></dt>
 <dd><p>mean on log scale parameter.</p></dd>
 
 
-<dt>sdlog</dt>
+<dt id="arg-sdlog">sdlog<a class="anchor" aria-label="anchor" href="#arg-sdlog"></a></dt>
 <dd><p>standard deviation on log scale parameter.</p></dd>
 
 
-<dt>burrIII3.weight</dt>
+<dt id="arg-burriii-weight">burrIII3.weight<a class="anchor" aria-label="anchor" href="#arg-burriii-weight"></a></dt>
 <dd><p>weight parameter for the Burr III distribution.</p></dd>
 
 
-<dt>burrIII3.shape1</dt>
+<dt id="arg-burriii-shape-">burrIII3.shape1<a class="anchor" aria-label="anchor" href="#arg-burriii-shape-"></a></dt>
 <dd><p>shape1 parameter for the Burr III distribution.</p></dd>
 
 
-<dt>burrIII3.shape2</dt>
+<dt id="arg-burriii-shape-">burrIII3.shape2<a class="anchor" aria-label="anchor" href="#arg-burriii-shape-"></a></dt>
 <dd><p>shape2 parameter for the Burr III distribution.</p></dd>
 
 
-<dt>burrIII3.scale</dt>
+<dt id="arg-burriii-scale">burrIII3.scale<a class="anchor" aria-label="anchor" href="#arg-burriii-scale"></a></dt>
 <dd><p>scale parameter for the Burr III distribution.</p></dd>
 
 
-<dt>gamma.weight</dt>
+<dt id="arg-gamma-weight">gamma.weight<a class="anchor" aria-label="anchor" href="#arg-gamma-weight"></a></dt>
 <dd><p>weight parameter for the gamma distribution.</p></dd>
 
 
-<dt>gamma.shape</dt>
+<dt id="arg-gamma-shape">gamma.shape<a class="anchor" aria-label="anchor" href="#arg-gamma-shape"></a></dt>
 <dd><p>shape parameter for the gamma distribution.</p></dd>
 
 
-<dt>gamma.scale</dt>
+<dt id="arg-gamma-scale">gamma.scale<a class="anchor" aria-label="anchor" href="#arg-gamma-scale"></a></dt>
 <dd><p>scale parameter for the gamma distribution.</p></dd>
 
 
-<dt>gompertz.weight</dt>
+<dt id="arg-gompertz-weight">gompertz.weight<a class="anchor" aria-label="anchor" href="#arg-gompertz-weight"></a></dt>
 <dd><p>weight parameter for the Gompertz distribution.</p></dd>
 
 
-<dt>gompertz.location</dt>
+<dt id="arg-gompertz-location">gompertz.location<a class="anchor" aria-label="anchor" href="#arg-gompertz-location"></a></dt>
 <dd><p>location parameter for the Gompertz distribution.</p></dd>
 
 
-<dt>gompertz.shape</dt>
+<dt id="arg-gompertz-shape">gompertz.shape<a class="anchor" aria-label="anchor" href="#arg-gompertz-shape"></a></dt>
 <dd><p>shape parameter for the Gompertz distribution.</p></dd>
 
 
-<dt>invpareto.weight</dt>
+<dt id="arg-invpareto-weight">invpareto.weight<a class="anchor" aria-label="anchor" href="#arg-invpareto-weight"></a></dt>
 <dd><p>weight parameter for the inverse Pareto distribution.</p></dd>
 
 
-<dt>invpareto.shape</dt>
+<dt id="arg-invpareto-shape">invpareto.shape<a class="anchor" aria-label="anchor" href="#arg-invpareto-shape"></a></dt>
 <dd><p>shape parameter for the inverse Pareto distribution.</p></dd>
 
 
-<dt>invpareto.scale</dt>
+<dt id="arg-invpareto-scale">invpareto.scale<a class="anchor" aria-label="anchor" href="#arg-invpareto-scale"></a></dt>
 <dd><p>scale parameter for the inverse Pareto distribution.</p></dd>
 
 
-<dt>lgumbel.weight</dt>
+<dt id="arg-lgumbel-weight">lgumbel.weight<a class="anchor" aria-label="anchor" href="#arg-lgumbel-weight"></a></dt>
 <dd><p>weight parameter for the log-Gumbel distribution.</p></dd>
 
 
-<dt>lgumbel.locationlog</dt>
+<dt id="arg-lgumbel-locationlog">lgumbel.locationlog<a class="anchor" aria-label="anchor" href="#arg-lgumbel-locationlog"></a></dt>
 <dd><p>location parameter for the log-Gumbel distribution.</p></dd>
 
 
-<dt>lgumbel.scalelog</dt>
+<dt id="arg-lgumbel-scalelog">lgumbel.scalelog<a class="anchor" aria-label="anchor" href="#arg-lgumbel-scalelog"></a></dt>
 <dd><p>scale parameter for the log-Gumbel distribution.</p></dd>
 
 
-<dt>llogis.weight</dt>
+<dt id="arg-llogis-weight">llogis.weight<a class="anchor" aria-label="anchor" href="#arg-llogis-weight"></a></dt>
 <dd><p>weight parameter for the log-logistic distribution.</p></dd>
 
 
-<dt>llogis.locationlog</dt>
+<dt id="arg-llogis-locationlog">llogis.locationlog<a class="anchor" aria-label="anchor" href="#arg-llogis-locationlog"></a></dt>
 <dd><p>location parameter for the log-logistic distribution.</p></dd>
 
 
-<dt>llogis.scalelog</dt>
+<dt id="arg-llogis-scalelog">llogis.scalelog<a class="anchor" aria-label="anchor" href="#arg-llogis-scalelog"></a></dt>
 <dd><p>scale parameter for the log-logistic distribution.</p></dd>
 
 
-<dt>llogis_llogis.weight</dt>
+<dt id="arg-llogis-llogis-weight">llogis_llogis.weight<a class="anchor" aria-label="anchor" href="#arg-llogis-llogis-weight"></a></dt>
 <dd><p>weight parameter for the log-logistic log-logistic mixture distribution.</p></dd>
 
 
-<dt>llogis_llogis.locationlog1</dt>
+<dt id="arg-llogis-llogis-locationlog-">llogis_llogis.locationlog1<a class="anchor" aria-label="anchor" href="#arg-llogis-llogis-locationlog-"></a></dt>
 <dd><p>locationlog1 parameter for the log-logistic log-logistic mixture distribution.</p></dd>
 
 
-<dt>llogis_llogis.scalelog1</dt>
+<dt id="arg-llogis-llogis-scalelog-">llogis_llogis.scalelog1<a class="anchor" aria-label="anchor" href="#arg-llogis-llogis-scalelog-"></a></dt>
 <dd><p>scalelog1 parameter for the log-logistic log-logistic mixture distribution.</p></dd>
 
 
-<dt>llogis_llogis.locationlog2</dt>
+<dt id="arg-llogis-llogis-locationlog-">llogis_llogis.locationlog2<a class="anchor" aria-label="anchor" href="#arg-llogis-llogis-locationlog-"></a></dt>
 <dd><p>locationlog2 parameter for the log-logistic log-logistic mixture distribution.</p></dd>
 
 
-<dt>llogis_llogis.scalelog2</dt>
+<dt id="arg-llogis-llogis-scalelog-">llogis_llogis.scalelog2<a class="anchor" aria-label="anchor" href="#arg-llogis-llogis-scalelog-"></a></dt>
 <dd><p>scalelog2 parameter for the log-logistic log-logistic mixture distribution.</p></dd>
 
 
-<dt>llogis_llogis.pmix</dt>
+<dt id="arg-llogis-llogis-pmix">llogis_llogis.pmix<a class="anchor" aria-label="anchor" href="#arg-llogis-llogis-pmix"></a></dt>
 <dd><p>pmix parameter for the log-logistic log-logistic mixture distribution.</p></dd>
 
 
-<dt>lnorm.weight</dt>
+<dt id="arg-lnorm-weight">lnorm.weight<a class="anchor" aria-label="anchor" href="#arg-lnorm-weight"></a></dt>
 <dd><p>weight parameter for the log-normal distribution.</p></dd>
 
 
-<dt>lnorm.meanlog</dt>
+<dt id="arg-lnorm-meanlog">lnorm.meanlog<a class="anchor" aria-label="anchor" href="#arg-lnorm-meanlog"></a></dt>
 <dd><p>meanlog parameter for the log-normal distribution.</p></dd>
 
 
-<dt>lnorm.sdlog</dt>
+<dt id="arg-lnorm-sdlog">lnorm.sdlog<a class="anchor" aria-label="anchor" href="#arg-lnorm-sdlog"></a></dt>
 <dd><p>sdlog parameter for the log-normal distribution.</p></dd>
 
 
-<dt>lnorm_lnorm.weight</dt>
+<dt id="arg-lnorm-lnorm-weight">lnorm_lnorm.weight<a class="anchor" aria-label="anchor" href="#arg-lnorm-lnorm-weight"></a></dt>
 <dd><p>weight parameter for the log-normal log-normal mixture distribution.</p></dd>
 
 
-<dt>lnorm_lnorm.meanlog1</dt>
+<dt id="arg-lnorm-lnorm-meanlog-">lnorm_lnorm.meanlog1<a class="anchor" aria-label="anchor" href="#arg-lnorm-lnorm-meanlog-"></a></dt>
 <dd><p>meanlog1 parameter for the log-normal log-normal mixture distribution.</p></dd>
 
 
-<dt>lnorm_lnorm.sdlog1</dt>
+<dt id="arg-lnorm-lnorm-sdlog-">lnorm_lnorm.sdlog1<a class="anchor" aria-label="anchor" href="#arg-lnorm-lnorm-sdlog-"></a></dt>
 <dd><p>sdlog1 parameter for the log-normal log-normal mixture distribution.</p></dd>
 
 
-<dt>lnorm_lnorm.meanlog2</dt>
+<dt id="arg-lnorm-lnorm-meanlog-">lnorm_lnorm.meanlog2<a class="anchor" aria-label="anchor" href="#arg-lnorm-lnorm-meanlog-"></a></dt>
 <dd><p>meanlog2 parameter for the log-normal log-normal mixture distribution.</p></dd>
 
 
-<dt>lnorm_lnorm.sdlog2</dt>
+<dt id="arg-lnorm-lnorm-sdlog-">lnorm_lnorm.sdlog2<a class="anchor" aria-label="anchor" href="#arg-lnorm-lnorm-sdlog-"></a></dt>
 <dd><p>sdlog2 parameter for the log-normal log-normal mixture distribution.</p></dd>
 
 
-<dt>lnorm_lnorm.pmix</dt>
+<dt id="arg-lnorm-lnorm-pmix">lnorm_lnorm.pmix<a class="anchor" aria-label="anchor" href="#arg-lnorm-lnorm-pmix"></a></dt>
 <dd><p>pmix parameter for the log-normal log-normal mixture distribution.</p></dd>
 
 
-<dt>weibull.weight</dt>
+<dt id="arg-weibull-weight">weibull.weight<a class="anchor" aria-label="anchor" href="#arg-weibull-weight"></a></dt>
 <dd><p>weight parameter for the Weibull distribution.</p></dd>
 
 
-<dt>weibull.shape</dt>
+<dt id="arg-weibull-shape">weibull.shape<a class="anchor" aria-label="anchor" href="#arg-weibull-shape"></a></dt>
 <dd><p>shape parameter for the Weibull distribution.</p></dd>
 
 
-<dt>weibull.scale</dt>
+<dt id="arg-weibull-scale">weibull.scale<a class="anchor" aria-label="anchor" href="#arg-weibull-scale"></a></dt>
 <dd><p>scale parameter for the Weibull distribution.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="functions">Functions<a class="anchor" aria-label="anchor" href="#functions"></a></h2>
-    
+
 <ul><li><p><code>ssd_pburrIII3()</code>: Cumulative Distribution Function for BurrIII Distribution</p></li>
 <li><p><code>ssd_pgamma()</code>: Cumulative Distribution Function for Gamma Distribution</p></li>
 <li><p><code>ssd_pgompertz()</code>: Cumulative Distribution Function for Gompertz Distribution</p></li>
@@ -436,7 +421,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-in"><span><span class="fu">ssd_plnorm</span><span class="op">(</span><span class="fl">1</span><span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> [1] 0.5</span>
 <span class="r-in"><span></span></span>
-<span class="r-in"><span><span class="co"># multi </span></span></span>
+<span class="r-in"><span><span class="co"># multi</span></span></span>
 <span class="r-in"><span><span class="fu">ssd_pmulti</span><span class="op">(</span><span class="fl">1</span><span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> [1] 0.5</span>
 <span class="r-in"><span></span></span>
@@ -444,7 +429,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> [1] 0.6321206</span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -453,14 +438,14 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/ssd_pal.html b/reference/ssd_pal.html
index 2efefb20..8035dbbb 100644
--- a/reference/ssd_pal.html
+++ b/reference/ssd_pal.html
@@ -1,53 +1,36 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Color-blind Palette for SSD Plots"><title>Color-blind Palette for SSD Plots — ssd_pal • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Color-blind Palette for SSD Plots — ssd_pal"><meta property="og:description" content="Color-blind Palette for SSD Plots"><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Color-blind Palette for SSD Plots — ssd_pal • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Color-blind Palette for SSD Plots — ssd_pal"><meta name="description" content="Color-blind Palette for SSD Plots"><meta property="og:description" content="Color-blind Palette for SSD Plots"><meta property="og:image" content="/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/ssdtools.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../articles/index.html">Articles</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/ssdtools.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Color-blind Palette for SSD Plots</h1>
-      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/HEAD/R/ggplot.R" class="external-link"><code>R/ggplot.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/main/R/ggplot.R" class="external-link"><code>R/ggplot.R</code></a></small>
       <div class="d-none name"><code>ssd_pal.Rd</code></div>
     </div>
 
@@ -62,13 +45,11 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>A character vector of a color blind palette with 8 colors.</p>
+    <p>A character vector of a color blind palette with 8 colors.</p>
     </div>
     <div class="section level2">
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
-    <div class="dont-index"><p>Other ggplot: 
+    <div class="dont-index"><p>Other ggplot:
 <code><a href="geom_hcintersect.html">geom_hcintersect</a>()</code>,
 <code><a href="geom_ssdpoint.html">geom_ssdpoint</a>()</code>,
 <code><a href="geom_ssdsegment.html">geom_ssdsegment</a>()</code>,
@@ -87,13 +68,13 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span>     }</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>     unname(values[seq_len(n)])</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> }</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;bytecode: 0x5606234249b0&gt;</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;environment: 0x56061b55bb18&gt;</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;bytecode: 0x55e562346548&gt;</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;environment: 0x55e55d680f00&gt;</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> attr(,"max_n")</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> [1] 8</span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -102,14 +83,14 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/ssd_plot-1.png b/reference/ssd_plot-1.png
index 0232c36a..29c770da 100644
Binary files a/reference/ssd_plot-1.png and b/reference/ssd_plot-1.png differ
diff --git a/reference/ssd_plot.html b/reference/ssd_plot.html
index 5f4aaa1f..33004a18 100644
--- a/reference/ssd_plot.html
+++ b/reference/ssd_plot.html
@@ -1,53 +1,36 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Plots species sensitivity data and distributions."><title>Plot Species Sensitivity Data and Distributions — ssd_plot • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Plot Species Sensitivity Data and Distributions — ssd_plot"><meta property="og:description" content="Plots species sensitivity data and distributions."><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Plot Species Sensitivity Data and Distributions — ssd_plot • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Plot Species Sensitivity Data and Distributions — ssd_plot"><meta name="description" content="Plots species sensitivity data and distributions."><meta property="og:description" content="Plots species sensitivity data and distributions."><meta property="og:image" content="/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/ssdtools.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../articles/index.html">Articles</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/ssdtools.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Plot Species Sensitivity Data and Distributions</h1>
-      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/HEAD/R/ssd-plot.R" class="external-link"><code>R/ssd-plot.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/main/R/ssd-plot.R" class="external-link"><code>R/ssd-plot.R</code></a></small>
       <div class="d-none name"><code>ssd_plot.Rd</code></div>
     </div>
 
@@ -62,6 +45,7 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 <span>  <span class="va">pred</span>,</span>
 <span>  left <span class="op">=</span> <span class="st">"Conc"</span>,</span>
 <span>  right <span class="op">=</span> <span class="va">left</span>,</span>
+<span>  <span class="va">...</span>,</span>
 <span>  label <span class="op">=</span> <span class="cn">NULL</span>,</span>
 <span>  shape <span class="op">=</span> <span class="cn">NULL</span>,</span>
 <span>  color <span class="op">=</span> <span class="cn">NULL</span>,</span>
@@ -76,6 +60,8 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 <span>  shift_x <span class="op">=</span> <span class="fl">3</span>,</span>
 <span>  add_x <span class="op">=</span> <span class="fl">0</span>,</span>
 <span>  bounds <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span>left <span class="op">=</span> <span class="fl">1</span>, right <span class="op">=</span> <span class="fl">1</span><span class="op">)</span>,</span>
+<span>  big.mark <span class="op">=</span> <span class="st">","</span>,</span>
+<span>  suffix <span class="op">=</span> <span class="st">"%"</span>,</span>
 <span>  trans <span class="op">=</span> <span class="st">"log10"</span>,</span>
 <span>  xbreaks <span class="op">=</span> <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/waiver.html" class="external-link">waiver</a></span><span class="op">(</span><span class="op">)</span></span>
 <span><span class="op">)</span></span></code></pre></div>
@@ -83,85 +69,99 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>data</dt>
+
+
+<dl><dt id="arg-data">data<a class="anchor" aria-label="anchor" href="#arg-data"></a></dt>
 <dd><p>A data frame.</p></dd>
 
 
-<dt>pred</dt>
+<dt id="arg-pred">pred<a class="anchor" aria-label="anchor" href="#arg-pred"></a></dt>
 <dd><p>A data frame of the predictions.</p></dd>
 
 
-<dt>left</dt>
+<dt id="arg-left">left<a class="anchor" aria-label="anchor" href="#arg-left"></a></dt>
 <dd><p>A string of the column in data with the concentrations.</p></dd>
 
 
-<dt>right</dt>
+<dt id="arg-right">right<a class="anchor" aria-label="anchor" href="#arg-right"></a></dt>
 <dd><p>A string of the column in data with the right concentration values.</p></dd>
 
 
-<dt>label</dt>
+<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
+<dd><p>Unused.</p></dd>
+
+
+<dt id="arg-label">label<a class="anchor" aria-label="anchor" href="#arg-label"></a></dt>
 <dd><p>A string of the column in data with the labels.</p></dd>
 
 
-<dt>shape</dt>
+<dt id="arg-shape">shape<a class="anchor" aria-label="anchor" href="#arg-shape"></a></dt>
 <dd><p>A string of the column in data for the shape aesthetic.</p></dd>
 
 
-<dt>color</dt>
+<dt id="arg-color">color<a class="anchor" aria-label="anchor" href="#arg-color"></a></dt>
 <dd><p>A string of the column in data for the color aesthetic.</p></dd>
 
 
-<dt>size</dt>
+<dt id="arg-size">size<a class="anchor" aria-label="anchor" href="#arg-size"></a></dt>
 <dd><p>A number for the size of the labels.</p></dd>
 
 
-<dt>linetype</dt>
+<dt id="arg-linetype">linetype<a class="anchor" aria-label="anchor" href="#arg-linetype"></a></dt>
 <dd><p>A string of the column in pred to use for the linetype.</p></dd>
 
 
-<dt>linecolor</dt>
+<dt id="arg-linecolor">linecolor<a class="anchor" aria-label="anchor" href="#arg-linecolor"></a></dt>
 <dd><p>A string of the column in pred to use for the line color.</p></dd>
 
 
-<dt>xlab</dt>
+<dt id="arg-xlab">xlab<a class="anchor" aria-label="anchor" href="#arg-xlab"></a></dt>
 <dd><p>A string of the x-axis label.</p></dd>
 
 
-<dt>ylab</dt>
+<dt id="arg-ylab">ylab<a class="anchor" aria-label="anchor" href="#arg-ylab"></a></dt>
 <dd><p>A string of the x-axis label.</p></dd>
 
 
-<dt>ci</dt>
+<dt id="arg-ci">ci<a class="anchor" aria-label="anchor" href="#arg-ci"></a></dt>
 <dd><p>A flag specifying whether to estimate confidence intervals (by bootstrapping).</p></dd>
 
 
-<dt>ribbon</dt>
+<dt id="arg-ribbon">ribbon<a class="anchor" aria-label="anchor" href="#arg-ribbon"></a></dt>
 <dd><p>A flag indicating whether to plot the confidence interval as a grey ribbon as opposed to green solid lines.</p></dd>
 
 
-<dt>hc</dt>
+<dt id="arg-hc">hc<a class="anchor" aria-label="anchor" href="#arg-hc"></a></dt>
 <dd><p>A value between 0 and 1 indicating the proportion hazard concentration (or NULL).</p></dd>
 
 
-<dt>shift_x</dt>
+<dt id="arg-shift-x">shift_x<a class="anchor" aria-label="anchor" href="#arg-shift-x"></a></dt>
 <dd><p>The value to multiply the label x values by (after adding <code>add_x</code>).</p></dd>
 
 
-<dt>add_x</dt>
+<dt id="arg-add-x">add_x<a class="anchor" aria-label="anchor" href="#arg-add-x"></a></dt>
 <dd><p>The value to add to the label x values (before multiplying by <code>shift_x</code>).</p></dd>
 
 
-<dt>bounds</dt>
+<dt id="arg-bounds">bounds<a class="anchor" aria-label="anchor" href="#arg-bounds"></a></dt>
 <dd><p>A named non-negative numeric vector of the left and right bounds for
 uncensored missing (0 and Inf) data in terms of the orders of magnitude
 relative to the extremes for non-missing values.</p></dd>
 
 
-<dt>trans</dt>
+<dt id="arg-big-mark">big.mark<a class="anchor" aria-label="anchor" href="#arg-big-mark"></a></dt>
+<dd><p>A string specifying used between every 3 digits to separate thousands on the x-axis.</p></dd>
+
+
+<dt id="arg-suffix">suffix<a class="anchor" aria-label="anchor" href="#arg-suffix"></a></dt>
+<dd><p>Additional text to display after the number on the y-axis.</p></dd>
+
+
+<dt id="arg-trans">trans<a class="anchor" aria-label="anchor" href="#arg-trans"></a></dt>
 <dd><p>A string which transformation to use by default <code>"log10"</code>.</p></dd>
 
 
-<dt>xbreaks</dt>
+<dt id="arg-xbreaks">xbreaks<a class="anchor" aria-label="anchor" href="#arg-xbreaks"></a></dt>
 <dd><p>The x-axis breaks as one of:</p><ul><li><p><code>NULL</code> for no breaks</p></li>
 <li><p><code><a href="https://ggplot2.tidyverse.org/reference/waiver.html" class="external-link">waiver()</a></code> for the default breaks</p></li>
 <li><p>A numeric vector of positions</p></li>
@@ -179,7 +179,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-plt img"><img src="ssd_plot-1.png" alt="" width="700" height="433"></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -188,14 +188,14 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/ssd_plot_cdf-1.png b/reference/ssd_plot_cdf-1.png
index 3fd35b2d..7d75c9f0 100644
Binary files a/reference/ssd_plot_cdf-1.png and b/reference/ssd_plot_cdf-1.png differ
diff --git a/reference/ssd_plot_cdf-2.png b/reference/ssd_plot_cdf-2.png
index ef9a8267..3f1a97c1 100644
Binary files a/reference/ssd_plot_cdf-2.png and b/reference/ssd_plot_cdf-2.png differ
diff --git a/reference/ssd_plot_cdf-3.png b/reference/ssd_plot_cdf-3.png
index 4b1770ce..ee637404 100644
Binary files a/reference/ssd_plot_cdf-3.png and b/reference/ssd_plot_cdf-3.png differ
diff --git a/reference/ssd_plot_cdf.html b/reference/ssd_plot_cdf.html
index e4abe5b5..8e8bb859 100644
--- a/reference/ssd_plot_cdf.html
+++ b/reference/ssd_plot_cdf.html
@@ -1,53 +1,36 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Generic function to plots the cumulative distribution function (CDF)."><title>Plot Cumulative Distribution Function (CDF) — ssd_plot_cdf • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Plot Cumulative Distribution Function (CDF) — ssd_plot_cdf"><meta property="og:description" content="Generic function to plots the cumulative distribution function (CDF)."><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Plot Cumulative Distribution Function (CDF) — ssd_plot_cdf • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Plot Cumulative Distribution Function (CDF) — ssd_plot_cdf"><meta name="description" content="Generic function to plots the cumulative distribution function (CDF)."><meta property="og:description" content="Generic function to plots the cumulative distribution function (CDF)."><meta property="og:image" content="/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/ssdtools.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../articles/index.html">Articles</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/ssdtools.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Plot Cumulative Distribution Function (CDF)</h1>
-      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/HEAD/R/plot-cdf.R" class="external-link"><code>R/plot-cdf.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/main/R/plot-cdf.R" class="external-link"><code>R/plot-cdf.R</code></a></small>
       <div class="d-none name"><code>ssd_plot_cdf.Rd</code></div>
     </div>
 
@@ -59,35 +42,37 @@
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">ssd_plot_cdf</span><span class="op">(</span><span class="va">x</span>, <span class="va">...</span><span class="op">)</span></span>
 <span></span>
-<span><span class="co"># S3 method for fitdists</span></span>
+<span><span class="co"># S3 method for class 'fitdists'</span></span>
 <span><span class="fu">ssd_plot_cdf</span><span class="op">(</span><span class="va">x</span>, average <span class="op">=</span> <span class="cn">FALSE</span>, delta <span class="op">=</span> <span class="fl">9.21</span>, <span class="va">...</span><span class="op">)</span></span>
 <span></span>
-<span><span class="co"># S3 method for list</span></span>
+<span><span class="co"># S3 method for class 'list'</span></span>
 <span><span class="fu">ssd_plot_cdf</span><span class="op">(</span><span class="va">x</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
     </div>
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>x</dt>
+
+
+<dl><dt id="arg-x">x<a class="anchor" aria-label="anchor" href="#arg-x"></a></dt>
 <dd><p>The object.</p></dd>
 
 
-<dt>...</dt>
+<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
 <dd><p>Additional arguments passed to <code><a href="ssd_plot.html">ssd_plot()</a></code>.</p></dd>
 
 
-<dt>average</dt>
+<dt id="arg-average">average<a class="anchor" aria-label="anchor" href="#arg-average"></a></dt>
 <dd><p>A flag specifying whether to provide model averaged values as opposed to a value for each distribution or if NA provides model averaged and individual values.</p></dd>
 
 
-<dt>delta</dt>
+<dt id="arg-delta">delta<a class="anchor" aria-label="anchor" href="#arg-delta"></a></dt>
 <dd><p>A non-negative number specifying the maximum absolute AIC difference cutoff.
 Distributions with an absolute AIC difference greater than delta are excluded from the calculations.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="methods-by-class-">Methods (by class)<a class="anchor" aria-label="anchor" href="#methods-by-class-"></a></h2>
-    
+
 <ul><li><p><code>ssd_plot_cdf(fitdists)</code>: Plot CDF for fitdists object</p></li>
 <li><p><code>ssd_plot_cdf(list)</code>: Plot CDF for named list of distributional parameter values</p></li>
 </ul></div>
@@ -112,7 +97,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-plt img"><img src="ssd_plot_cdf-3.png" alt="" width="700" height="433"></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -121,14 +106,14 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/ssd_plot_cf.html b/reference/ssd_plot_cf.html
index 962e134d..06bedc63 100644
--- a/reference/ssd_plot_cf.html
+++ b/reference/ssd_plot_cf.html
@@ -1,55 +1,38 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Plots a Cullen and Frey graph of the skewness and kurtosis
-for non-censored data."><title>Cullen and Frey Plot  — ssd_plot_cf • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Cullen and Frey Plot  — ssd_plot_cf"><meta property="og:description" content="Plots a Cullen and Frey graph of the skewness and kurtosis
-for non-censored data."><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Cullen and Frey Plot  — ssd_plot_cf • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Cullen and Frey Plot  — ssd_plot_cf"><meta name="description" content="Plots a Cullen and Frey graph of the skewness and kurtosis
+for non-censored data."><meta property="og:description" content="Plots a Cullen and Frey graph of the skewness and kurtosis
+for non-censored data."><meta property="og:image" content="/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/ssdtools.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../articles/index.html">Articles</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/ssdtools.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Cullen and Frey Plot <a href="https://lifecycle.r-lib.org/articles/stages.html#deprecated" class="external-link"><img src="figures/lifecycle-deprecated.svg" alt="[Deprecated]"></a></h1>
-      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/HEAD/R/plot-cf.R" class="external-link"><code>R/plot-cf.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/main/R/plot-cf.R" class="external-link"><code>R/plot-cf.R</code></a></small>
       <div class="d-none name"><code>ssd_plot_cf.Rd</code></div>
     </div>
 
@@ -65,20 +48,22 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>data</dt>
+
+
+<dl><dt id="arg-data">data<a class="anchor" aria-label="anchor" href="#arg-data"></a></dt>
 <dd><p>A data frame.</p></dd>
 
 
-<dt>left</dt>
+<dt id="arg-left">left<a class="anchor" aria-label="anchor" href="#arg-left"></a></dt>
 <dd><p>A string of the column in data with the concentrations.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
-    <p>Soft deprecated for direct call to <code><a href="https://rdrr.io/pkg/fitdistrplus/man/descdist.html" class="external-link">fitdistrplus::descdist()</a></code>.</p>
+    <p>Soft deprecated for direct call to <code><a href="https://lbbe-software.github.io/fitdistrplus/reference/descdist.html" class="external-link">fitdistrplus::descdist()</a></code>.</p>
     </div>
 
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -87,14 +72,14 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/ssd_plot_data-1.png b/reference/ssd_plot_data-1.png
index 427c6d9a..a37eb8a4 100644
Binary files a/reference/ssd_plot_data-1.png and b/reference/ssd_plot_data-1.png differ
diff --git a/reference/ssd_plot_data.html b/reference/ssd_plot_data.html
index 4099e1f1..059ddc00 100644
--- a/reference/ssd_plot_data.html
+++ b/reference/ssd_plot_data.html
@@ -1,53 +1,36 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Plots species sensitivity data."><title>Plot Species Sensitivity Data — ssd_plot_data • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Plot Species Sensitivity Data — ssd_plot_data"><meta property="og:description" content="Plots species sensitivity data."><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Plot Species Sensitivity Data — ssd_plot_data • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Plot Species Sensitivity Data — ssd_plot_data"><meta name="description" content="Plots species sensitivity data."><meta property="og:description" content="Plots species sensitivity data."><meta property="og:image" content="/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/ssdtools.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../articles/index.html">Articles</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/ssdtools.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Plot Species Sensitivity Data</h1>
-      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/HEAD/R/plot-data.R" class="external-link"><code>R/plot-data.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/main/R/plot-data.R" class="external-link"><code>R/plot-data.R</code></a></small>
       <div class="d-none name"><code>ssd_plot_data.Rd</code></div>
     </div>
 
@@ -61,6 +44,7 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 <span>  <span class="va">data</span>,</span>
 <span>  left <span class="op">=</span> <span class="st">"Conc"</span>,</span>
 <span>  right <span class="op">=</span> <span class="va">left</span>,</span>
+<span>  <span class="va">...</span>,</span>
 <span>  label <span class="op">=</span> <span class="cn">NULL</span>,</span>
 <span>  shape <span class="op">=</span> <span class="cn">NULL</span>,</span>
 <span>  color <span class="op">=</span> <span class="cn">NULL</span>,</span>
@@ -69,6 +53,8 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 <span>  ylab <span class="op">=</span> <span class="st">"Species Affected"</span>,</span>
 <span>  shift_x <span class="op">=</span> <span class="fl">3</span>,</span>
 <span>  add_x <span class="op">=</span> <span class="fl">0</span>,</span>
+<span>  big.mark <span class="op">=</span> <span class="st">","</span>,</span>
+<span>  suffix <span class="op">=</span> <span class="st">"%"</span>,</span>
 <span>  bounds <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span>left <span class="op">=</span> <span class="fl">1</span>, right <span class="op">=</span> <span class="fl">1</span><span class="op">)</span>,</span>
 <span>  trans <span class="op">=</span> <span class="st">"log10"</span>,</span>
 <span>  xbreaks <span class="op">=</span> <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/waiver.html" class="external-link">waiver</a></span><span class="op">(</span><span class="op">)</span></span>
@@ -77,61 +63,75 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>data</dt>
+
+
+<dl><dt id="arg-data">data<a class="anchor" aria-label="anchor" href="#arg-data"></a></dt>
 <dd><p>A data frame.</p></dd>
 
 
-<dt>left</dt>
+<dt id="arg-left">left<a class="anchor" aria-label="anchor" href="#arg-left"></a></dt>
 <dd><p>A string of the column in data with the concentrations.</p></dd>
 
 
-<dt>right</dt>
+<dt id="arg-right">right<a class="anchor" aria-label="anchor" href="#arg-right"></a></dt>
 <dd><p>A string of the column in data with the right concentration values.</p></dd>
 
 
-<dt>label</dt>
+<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
+<dd><p>Unused.</p></dd>
+
+
+<dt id="arg-label">label<a class="anchor" aria-label="anchor" href="#arg-label"></a></dt>
 <dd><p>A string of the column in data with the labels.</p></dd>
 
 
-<dt>shape</dt>
+<dt id="arg-shape">shape<a class="anchor" aria-label="anchor" href="#arg-shape"></a></dt>
 <dd><p>A string of the column in data for the shape aesthetic.</p></dd>
 
 
-<dt>color</dt>
+<dt id="arg-color">color<a class="anchor" aria-label="anchor" href="#arg-color"></a></dt>
 <dd><p>A string of the column in data for the color aesthetic.</p></dd>
 
 
-<dt>size</dt>
+<dt id="arg-size">size<a class="anchor" aria-label="anchor" href="#arg-size"></a></dt>
 <dd><p>A number for the size of the labels.</p></dd>
 
 
-<dt>xlab</dt>
+<dt id="arg-xlab">xlab<a class="anchor" aria-label="anchor" href="#arg-xlab"></a></dt>
 <dd><p>A string of the x-axis label.</p></dd>
 
 
-<dt>ylab</dt>
+<dt id="arg-ylab">ylab<a class="anchor" aria-label="anchor" href="#arg-ylab"></a></dt>
 <dd><p>A string of the x-axis label.</p></dd>
 
 
-<dt>shift_x</dt>
+<dt id="arg-shift-x">shift_x<a class="anchor" aria-label="anchor" href="#arg-shift-x"></a></dt>
 <dd><p>The value to multiply the label x values by (after adding <code>add_x</code>).</p></dd>
 
 
-<dt>add_x</dt>
+<dt id="arg-add-x">add_x<a class="anchor" aria-label="anchor" href="#arg-add-x"></a></dt>
 <dd><p>The value to add to the label x values (before multiplying by <code>shift_x</code>).</p></dd>
 
 
-<dt>bounds</dt>
+<dt id="arg-big-mark">big.mark<a class="anchor" aria-label="anchor" href="#arg-big-mark"></a></dt>
+<dd><p>A string specifying used between every 3 digits to separate thousands on the x-axis.</p></dd>
+
+
+<dt id="arg-suffix">suffix<a class="anchor" aria-label="anchor" href="#arg-suffix"></a></dt>
+<dd><p>Additional text to display after the number on the y-axis.</p></dd>
+
+
+<dt id="arg-bounds">bounds<a class="anchor" aria-label="anchor" href="#arg-bounds"></a></dt>
 <dd><p>A named non-negative numeric vector of the left and right bounds for
 uncensored missing (0 and Inf) data in terms of the orders of magnitude
 relative to the extremes for non-missing values.</p></dd>
 
 
-<dt>trans</dt>
+<dt id="arg-trans">trans<a class="anchor" aria-label="anchor" href="#arg-trans"></a></dt>
 <dd><p>A string which transformation to use by default <code>"log10"</code>.</p></dd>
 
 
-<dt>xbreaks</dt>
+<dt id="arg-xbreaks">xbreaks<a class="anchor" aria-label="anchor" href="#arg-xbreaks"></a></dt>
 <dd><p>The x-axis breaks as one of:</p><ul><li><p><code>NULL</code> for no breaks</p></li>
 <li><p><code><a href="https://ggplot2.tidyverse.org/reference/waiver.html" class="external-link">waiver()</a></code> for the default breaks</p></li>
 <li><p>A numeric vector of positions</p></li>
@@ -149,7 +149,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-plt img"><img src="ssd_plot_data-1.png" alt="" width="700" height="433"></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -158,14 +158,14 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/ssd_q.html b/reference/ssd_q.html
index 98144836..7cb38293 100644
--- a/reference/ssd_q.html
+++ b/reference/ssd_q.html
@@ -1,53 +1,36 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Quantile Function"><title>Quantile Function — ssd_qburrIII3 • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Quantile Function — ssd_qburrIII3"><meta property="og:description" content="Quantile Function"><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Quantile Function — ssd_qburrIII3 • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Quantile Function — ssd_qburrIII3"><meta name="description" content="Quantile Function"><meta property="og:description" content="Quantile Function"><meta property="og:image" content="/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/ssdtools.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../articles/index.html">Articles</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/ssdtools.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Quantile Function</h1>
-      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/HEAD/R/burrrIII3.R" class="external-link"><code>R/burrrIII3.R</code></a>, <a href="https://github.com/bcgov/ssdtools/blob/HEAD/R/gamma.R" class="external-link"><code>R/gamma.R</code></a>, <a href="https://github.com/bcgov/ssdtools/blob/HEAD/R/gompertz.R" class="external-link"><code>R/gompertz.R</code></a>, and 9 more</small>
+      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/main/R/burrrIII3.R" class="external-link"><code>R/burrrIII3.R</code></a>, <a href="https://github.com/bcgov/ssdtools/blob/main/R/gamma.R" class="external-link"><code>R/gamma.R</code></a>, <a href="https://github.com/bcgov/ssdtools/blob/main/R/gompertz.R" class="external-link"><code>R/gompertz.R</code></a>, and 9 more</small>
       <div class="d-none name"><code>ssd_q.Rd</code></div>
     </div>
 
@@ -154,241 +137,243 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>p</dt>
+
+
+<dl><dt id="arg-p">p<a class="anchor" aria-label="anchor" href="#arg-p"></a></dt>
 <dd><p>vector of probabilities.</p></dd>
 
 
-<dt>shape1</dt>
+<dt id="arg-shape-">shape1<a class="anchor" aria-label="anchor" href="#arg-shape-"></a></dt>
 <dd><p>shape1 parameter.</p></dd>
 
 
-<dt>shape2</dt>
+<dt id="arg-shape-">shape2<a class="anchor" aria-label="anchor" href="#arg-shape-"></a></dt>
 <dd><p>shape2 parameter.</p></dd>
 
 
-<dt>scale</dt>
+<dt id="arg-scale">scale<a class="anchor" aria-label="anchor" href="#arg-scale"></a></dt>
 <dd><p>scale parameter.</p></dd>
 
 
-<dt>lower.tail</dt>
+<dt id="arg-lower-tail">lower.tail<a class="anchor" aria-label="anchor" href="#arg-lower-tail"></a></dt>
 <dd><p>logical; if TRUE (default), probabilities are <code>P[X &lt;= x]</code>, otherwise, <code>P[X &gt; x]</code>.</p></dd>
 
 
-<dt>log.p</dt>
+<dt id="arg-log-p">log.p<a class="anchor" aria-label="anchor" href="#arg-log-p"></a></dt>
 <dd><p>logical; if TRUE, probabilities p are given as log(p).</p></dd>
 
 
-<dt>shape</dt>
+<dt id="arg-shape">shape<a class="anchor" aria-label="anchor" href="#arg-shape"></a></dt>
 <dd><p>shape parameter.</p></dd>
 
 
-<dt>location</dt>
+<dt id="arg-location">location<a class="anchor" aria-label="anchor" href="#arg-location"></a></dt>
 <dd><p>location parameter.</p></dd>
 
 
-<dt>locationlog</dt>
+<dt id="arg-locationlog">locationlog<a class="anchor" aria-label="anchor" href="#arg-locationlog"></a></dt>
 <dd><p>location on the log scale parameter.</p></dd>
 
 
-<dt>scalelog</dt>
+<dt id="arg-scalelog">scalelog<a class="anchor" aria-label="anchor" href="#arg-scalelog"></a></dt>
 <dd><p>scale on log scale parameter.</p></dd>
 
 
-<dt>locationlog1</dt>
+<dt id="arg-locationlog-">locationlog1<a class="anchor" aria-label="anchor" href="#arg-locationlog-"></a></dt>
 <dd><p>locationlog1 parameter.</p></dd>
 
 
-<dt>scalelog1</dt>
+<dt id="arg-scalelog-">scalelog1<a class="anchor" aria-label="anchor" href="#arg-scalelog-"></a></dt>
 <dd><p>scalelog1 parameter.</p></dd>
 
 
-<dt>locationlog2</dt>
+<dt id="arg-locationlog-">locationlog2<a class="anchor" aria-label="anchor" href="#arg-locationlog-"></a></dt>
 <dd><p>locationlog2 parameter.</p></dd>
 
 
-<dt>scalelog2</dt>
+<dt id="arg-scalelog-">scalelog2<a class="anchor" aria-label="anchor" href="#arg-scalelog-"></a></dt>
 <dd><p>scalelog2 parameter.</p></dd>
 
 
-<dt>pmix</dt>
+<dt id="arg-pmix">pmix<a class="anchor" aria-label="anchor" href="#arg-pmix"></a></dt>
 <dd><p>Proportion mixture parameter.</p></dd>
 
 
-<dt>meanlog1</dt>
+<dt id="arg-meanlog-">meanlog1<a class="anchor" aria-label="anchor" href="#arg-meanlog-"></a></dt>
 <dd><p>mean on log scale parameter.</p></dd>
 
 
-<dt>sdlog1</dt>
+<dt id="arg-sdlog-">sdlog1<a class="anchor" aria-label="anchor" href="#arg-sdlog-"></a></dt>
 <dd><p>standard deviation on log scale parameter.</p></dd>
 
 
-<dt>meanlog2</dt>
+<dt id="arg-meanlog-">meanlog2<a class="anchor" aria-label="anchor" href="#arg-meanlog-"></a></dt>
 <dd><p>mean on log scale parameter.</p></dd>
 
 
-<dt>sdlog2</dt>
+<dt id="arg-sdlog-">sdlog2<a class="anchor" aria-label="anchor" href="#arg-sdlog-"></a></dt>
 <dd><p>standard deviation on log scale parameter.</p></dd>
 
 
-<dt>meanlog</dt>
+<dt id="arg-meanlog">meanlog<a class="anchor" aria-label="anchor" href="#arg-meanlog"></a></dt>
 <dd><p>mean on log scale parameter.</p></dd>
 
 
-<dt>sdlog</dt>
+<dt id="arg-sdlog">sdlog<a class="anchor" aria-label="anchor" href="#arg-sdlog"></a></dt>
 <dd><p>standard deviation on log scale parameter.</p></dd>
 
 
-<dt>burrIII3.weight</dt>
+<dt id="arg-burriii-weight">burrIII3.weight<a class="anchor" aria-label="anchor" href="#arg-burriii-weight"></a></dt>
 <dd><p>weight parameter for the Burr III distribution.</p></dd>
 
 
-<dt>burrIII3.shape1</dt>
+<dt id="arg-burriii-shape-">burrIII3.shape1<a class="anchor" aria-label="anchor" href="#arg-burriii-shape-"></a></dt>
 <dd><p>shape1 parameter for the Burr III distribution.</p></dd>
 
 
-<dt>burrIII3.shape2</dt>
+<dt id="arg-burriii-shape-">burrIII3.shape2<a class="anchor" aria-label="anchor" href="#arg-burriii-shape-"></a></dt>
 <dd><p>shape2 parameter for the Burr III distribution.</p></dd>
 
 
-<dt>burrIII3.scale</dt>
+<dt id="arg-burriii-scale">burrIII3.scale<a class="anchor" aria-label="anchor" href="#arg-burriii-scale"></a></dt>
 <dd><p>scale parameter for the Burr III distribution.</p></dd>
 
 
-<dt>gamma.weight</dt>
+<dt id="arg-gamma-weight">gamma.weight<a class="anchor" aria-label="anchor" href="#arg-gamma-weight"></a></dt>
 <dd><p>weight parameter for the gamma distribution.</p></dd>
 
 
-<dt>gamma.shape</dt>
+<dt id="arg-gamma-shape">gamma.shape<a class="anchor" aria-label="anchor" href="#arg-gamma-shape"></a></dt>
 <dd><p>shape parameter for the gamma distribution.</p></dd>
 
 
-<dt>gamma.scale</dt>
+<dt id="arg-gamma-scale">gamma.scale<a class="anchor" aria-label="anchor" href="#arg-gamma-scale"></a></dt>
 <dd><p>scale parameter for the gamma distribution.</p></dd>
 
 
-<dt>gompertz.weight</dt>
+<dt id="arg-gompertz-weight">gompertz.weight<a class="anchor" aria-label="anchor" href="#arg-gompertz-weight"></a></dt>
 <dd><p>weight parameter for the Gompertz distribution.</p></dd>
 
 
-<dt>gompertz.location</dt>
+<dt id="arg-gompertz-location">gompertz.location<a class="anchor" aria-label="anchor" href="#arg-gompertz-location"></a></dt>
 <dd><p>location parameter for the Gompertz distribution.</p></dd>
 
 
-<dt>gompertz.shape</dt>
+<dt id="arg-gompertz-shape">gompertz.shape<a class="anchor" aria-label="anchor" href="#arg-gompertz-shape"></a></dt>
 <dd><p>shape parameter for the Gompertz distribution.</p></dd>
 
 
-<dt>invpareto.weight</dt>
+<dt id="arg-invpareto-weight">invpareto.weight<a class="anchor" aria-label="anchor" href="#arg-invpareto-weight"></a></dt>
 <dd><p>weight parameter for the inverse Pareto distribution.</p></dd>
 
 
-<dt>invpareto.shape</dt>
+<dt id="arg-invpareto-shape">invpareto.shape<a class="anchor" aria-label="anchor" href="#arg-invpareto-shape"></a></dt>
 <dd><p>shape parameter for the inverse Pareto distribution.</p></dd>
 
 
-<dt>invpareto.scale</dt>
+<dt id="arg-invpareto-scale">invpareto.scale<a class="anchor" aria-label="anchor" href="#arg-invpareto-scale"></a></dt>
 <dd><p>scale parameter for the inverse Pareto distribution.</p></dd>
 
 
-<dt>lgumbel.weight</dt>
+<dt id="arg-lgumbel-weight">lgumbel.weight<a class="anchor" aria-label="anchor" href="#arg-lgumbel-weight"></a></dt>
 <dd><p>weight parameter for the log-Gumbel distribution.</p></dd>
 
 
-<dt>lgumbel.locationlog</dt>
+<dt id="arg-lgumbel-locationlog">lgumbel.locationlog<a class="anchor" aria-label="anchor" href="#arg-lgumbel-locationlog"></a></dt>
 <dd><p>location parameter for the log-Gumbel distribution.</p></dd>
 
 
-<dt>lgumbel.scalelog</dt>
+<dt id="arg-lgumbel-scalelog">lgumbel.scalelog<a class="anchor" aria-label="anchor" href="#arg-lgumbel-scalelog"></a></dt>
 <dd><p>scale parameter for the log-Gumbel distribution.</p></dd>
 
 
-<dt>llogis.weight</dt>
+<dt id="arg-llogis-weight">llogis.weight<a class="anchor" aria-label="anchor" href="#arg-llogis-weight"></a></dt>
 <dd><p>weight parameter for the log-logistic distribution.</p></dd>
 
 
-<dt>llogis.locationlog</dt>
+<dt id="arg-llogis-locationlog">llogis.locationlog<a class="anchor" aria-label="anchor" href="#arg-llogis-locationlog"></a></dt>
 <dd><p>location parameter for the log-logistic distribution.</p></dd>
 
 
-<dt>llogis.scalelog</dt>
+<dt id="arg-llogis-scalelog">llogis.scalelog<a class="anchor" aria-label="anchor" href="#arg-llogis-scalelog"></a></dt>
 <dd><p>scale parameter for the log-logistic distribution.</p></dd>
 
 
-<dt>llogis_llogis.weight</dt>
+<dt id="arg-llogis-llogis-weight">llogis_llogis.weight<a class="anchor" aria-label="anchor" href="#arg-llogis-llogis-weight"></a></dt>
 <dd><p>weight parameter for the log-logistic log-logistic mixture distribution.</p></dd>
 
 
-<dt>llogis_llogis.locationlog1</dt>
+<dt id="arg-llogis-llogis-locationlog-">llogis_llogis.locationlog1<a class="anchor" aria-label="anchor" href="#arg-llogis-llogis-locationlog-"></a></dt>
 <dd><p>locationlog1 parameter for the log-logistic log-logistic mixture distribution.</p></dd>
 
 
-<dt>llogis_llogis.scalelog1</dt>
+<dt id="arg-llogis-llogis-scalelog-">llogis_llogis.scalelog1<a class="anchor" aria-label="anchor" href="#arg-llogis-llogis-scalelog-"></a></dt>
 <dd><p>scalelog1 parameter for the log-logistic log-logistic mixture distribution.</p></dd>
 
 
-<dt>llogis_llogis.locationlog2</dt>
+<dt id="arg-llogis-llogis-locationlog-">llogis_llogis.locationlog2<a class="anchor" aria-label="anchor" href="#arg-llogis-llogis-locationlog-"></a></dt>
 <dd><p>locationlog2 parameter for the log-logistic log-logistic mixture distribution.</p></dd>
 
 
-<dt>llogis_llogis.scalelog2</dt>
+<dt id="arg-llogis-llogis-scalelog-">llogis_llogis.scalelog2<a class="anchor" aria-label="anchor" href="#arg-llogis-llogis-scalelog-"></a></dt>
 <dd><p>scalelog2 parameter for the log-logistic log-logistic mixture distribution.</p></dd>
 
 
-<dt>llogis_llogis.pmix</dt>
+<dt id="arg-llogis-llogis-pmix">llogis_llogis.pmix<a class="anchor" aria-label="anchor" href="#arg-llogis-llogis-pmix"></a></dt>
 <dd><p>pmix parameter for the log-logistic log-logistic mixture distribution.</p></dd>
 
 
-<dt>lnorm.weight</dt>
+<dt id="arg-lnorm-weight">lnorm.weight<a class="anchor" aria-label="anchor" href="#arg-lnorm-weight"></a></dt>
 <dd><p>weight parameter for the log-normal distribution.</p></dd>
 
 
-<dt>lnorm.meanlog</dt>
+<dt id="arg-lnorm-meanlog">lnorm.meanlog<a class="anchor" aria-label="anchor" href="#arg-lnorm-meanlog"></a></dt>
 <dd><p>meanlog parameter for the log-normal distribution.</p></dd>
 
 
-<dt>lnorm.sdlog</dt>
+<dt id="arg-lnorm-sdlog">lnorm.sdlog<a class="anchor" aria-label="anchor" href="#arg-lnorm-sdlog"></a></dt>
 <dd><p>sdlog parameter for the log-normal distribution.</p></dd>
 
 
-<dt>lnorm_lnorm.weight</dt>
+<dt id="arg-lnorm-lnorm-weight">lnorm_lnorm.weight<a class="anchor" aria-label="anchor" href="#arg-lnorm-lnorm-weight"></a></dt>
 <dd><p>weight parameter for the log-normal log-normal mixture distribution.</p></dd>
 
 
-<dt>lnorm_lnorm.meanlog1</dt>
+<dt id="arg-lnorm-lnorm-meanlog-">lnorm_lnorm.meanlog1<a class="anchor" aria-label="anchor" href="#arg-lnorm-lnorm-meanlog-"></a></dt>
 <dd><p>meanlog1 parameter for the log-normal log-normal mixture distribution.</p></dd>
 
 
-<dt>lnorm_lnorm.sdlog1</dt>
+<dt id="arg-lnorm-lnorm-sdlog-">lnorm_lnorm.sdlog1<a class="anchor" aria-label="anchor" href="#arg-lnorm-lnorm-sdlog-"></a></dt>
 <dd><p>sdlog1 parameter for the log-normal log-normal mixture distribution.</p></dd>
 
 
-<dt>lnorm_lnorm.meanlog2</dt>
+<dt id="arg-lnorm-lnorm-meanlog-">lnorm_lnorm.meanlog2<a class="anchor" aria-label="anchor" href="#arg-lnorm-lnorm-meanlog-"></a></dt>
 <dd><p>meanlog2 parameter for the log-normal log-normal mixture distribution.</p></dd>
 
 
-<dt>lnorm_lnorm.sdlog2</dt>
+<dt id="arg-lnorm-lnorm-sdlog-">lnorm_lnorm.sdlog2<a class="anchor" aria-label="anchor" href="#arg-lnorm-lnorm-sdlog-"></a></dt>
 <dd><p>sdlog2 parameter for the log-normal log-normal mixture distribution.</p></dd>
 
 
-<dt>lnorm_lnorm.pmix</dt>
+<dt id="arg-lnorm-lnorm-pmix">lnorm_lnorm.pmix<a class="anchor" aria-label="anchor" href="#arg-lnorm-lnorm-pmix"></a></dt>
 <dd><p>pmix parameter for the log-normal log-normal mixture distribution.</p></dd>
 
 
-<dt>weibull.weight</dt>
+<dt id="arg-weibull-weight">weibull.weight<a class="anchor" aria-label="anchor" href="#arg-weibull-weight"></a></dt>
 <dd><p>weight parameter for the Weibull distribution.</p></dd>
 
 
-<dt>weibull.shape</dt>
+<dt id="arg-weibull-shape">weibull.shape<a class="anchor" aria-label="anchor" href="#arg-weibull-shape"></a></dt>
 <dd><p>shape parameter for the Weibull distribution.</p></dd>
 
 
-<dt>weibull.scale</dt>
+<dt id="arg-weibull-scale">weibull.scale<a class="anchor" aria-label="anchor" href="#arg-weibull-scale"></a></dt>
 <dd><p>scale parameter for the Weibull distribution.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="functions">Functions<a class="anchor" aria-label="anchor" href="#functions"></a></h2>
-    
+
 <ul><li><p><code>ssd_qburrIII3()</code>: Quantile Function for BurrIII Distribution</p></li>
 <li><p><code>ssd_qgamma()</code>: Quantile Function for Gamma Distribution</p></li>
 <li><p><code>ssd_qgompertz()</code>: Quantile Function for Gompertz Distribution</p></li>
@@ -436,7 +421,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-in"><span><span class="fu">ssd_qlnorm</span><span class="op">(</span><span class="fl">0.5</span><span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> [1] 1</span>
 <span class="r-in"><span></span></span>
-<span class="r-in"><span><span class="co"># multi </span></span></span>
+<span class="r-in"><span><span class="co"># multi</span></span></span>
 <span class="r-in"><span><span class="fu">ssd_qmulti</span><span class="op">(</span><span class="fl">0.5</span><span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> [1] 1</span>
 <span class="r-in"><span></span></span>
@@ -444,7 +429,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> [1] 0.6931472</span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -453,14 +438,14 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/ssd_r.html b/reference/ssd_r.html
index 05eeba6e..0f623d87 100644
--- a/reference/ssd_r.html
+++ b/reference/ssd_r.html
@@ -1,53 +1,36 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Random Number Generation"><title>Random Number Generation — ssd_rburrIII3 • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Random Number Generation — ssd_rburrIII3"><meta property="og:description" content="Random Number Generation"><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Random Number Generation — ssd_rburrIII3 • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Random Number Generation — ssd_rburrIII3"><meta name="description" content="Random Number Generation"><meta property="og:description" content="Random Number Generation"><meta property="og:image" content="/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/ssdtools.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../articles/index.html">Articles</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/ssdtools.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Random Number Generation</h1>
-      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/HEAD/R/burrrIII3.R" class="external-link"><code>R/burrrIII3.R</code></a>, <a href="https://github.com/bcgov/ssdtools/blob/HEAD/R/gamma.R" class="external-link"><code>R/gamma.R</code></a>, <a href="https://github.com/bcgov/ssdtools/blob/HEAD/R/gompertz.R" class="external-link"><code>R/gompertz.R</code></a>, and 9 more</small>
+      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/main/R/burrrIII3.R" class="external-link"><code>R/burrrIII3.R</code></a>, <a href="https://github.com/bcgov/ssdtools/blob/main/R/gamma.R" class="external-link"><code>R/gamma.R</code></a>, <a href="https://github.com/bcgov/ssdtools/blob/main/R/gompertz.R" class="external-link"><code>R/gompertz.R</code></a>, and 9 more</small>
       <div class="d-none name"><code>ssd_r.Rd</code></div>
     </div>
 
@@ -138,237 +121,239 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>n</dt>
+
+
+<dl><dt id="arg-n">n<a class="anchor" aria-label="anchor" href="#arg-n"></a></dt>
 <dd><p>positive number of observations.</p></dd>
 
 
-<dt>shape1</dt>
+<dt id="arg-shape-">shape1<a class="anchor" aria-label="anchor" href="#arg-shape-"></a></dt>
 <dd><p>shape1 parameter.</p></dd>
 
 
-<dt>shape2</dt>
+<dt id="arg-shape-">shape2<a class="anchor" aria-label="anchor" href="#arg-shape-"></a></dt>
 <dd><p>shape2 parameter.</p></dd>
 
 
-<dt>scale</dt>
+<dt id="arg-scale">scale<a class="anchor" aria-label="anchor" href="#arg-scale"></a></dt>
 <dd><p>scale parameter.</p></dd>
 
 
-<dt>chk</dt>
+<dt id="arg-chk">chk<a class="anchor" aria-label="anchor" href="#arg-chk"></a></dt>
 <dd><p>A flag specifying whether to check the arguments.</p></dd>
 
 
-<dt>shape</dt>
+<dt id="arg-shape">shape<a class="anchor" aria-label="anchor" href="#arg-shape"></a></dt>
 <dd><p>shape parameter.</p></dd>
 
 
-<dt>location</dt>
+<dt id="arg-location">location<a class="anchor" aria-label="anchor" href="#arg-location"></a></dt>
 <dd><p>location parameter.</p></dd>
 
 
-<dt>locationlog</dt>
+<dt id="arg-locationlog">locationlog<a class="anchor" aria-label="anchor" href="#arg-locationlog"></a></dt>
 <dd><p>location on the log scale parameter.</p></dd>
 
 
-<dt>scalelog</dt>
+<dt id="arg-scalelog">scalelog<a class="anchor" aria-label="anchor" href="#arg-scalelog"></a></dt>
 <dd><p>scale on log scale parameter.</p></dd>
 
 
-<dt>locationlog1</dt>
+<dt id="arg-locationlog-">locationlog1<a class="anchor" aria-label="anchor" href="#arg-locationlog-"></a></dt>
 <dd><p>locationlog1 parameter.</p></dd>
 
 
-<dt>scalelog1</dt>
+<dt id="arg-scalelog-">scalelog1<a class="anchor" aria-label="anchor" href="#arg-scalelog-"></a></dt>
 <dd><p>scalelog1 parameter.</p></dd>
 
 
-<dt>locationlog2</dt>
+<dt id="arg-locationlog-">locationlog2<a class="anchor" aria-label="anchor" href="#arg-locationlog-"></a></dt>
 <dd><p>locationlog2 parameter.</p></dd>
 
 
-<dt>scalelog2</dt>
+<dt id="arg-scalelog-">scalelog2<a class="anchor" aria-label="anchor" href="#arg-scalelog-"></a></dt>
 <dd><p>scalelog2 parameter.</p></dd>
 
 
-<dt>pmix</dt>
+<dt id="arg-pmix">pmix<a class="anchor" aria-label="anchor" href="#arg-pmix"></a></dt>
 <dd><p>Proportion mixture parameter.</p></dd>
 
 
-<dt>meanlog1</dt>
+<dt id="arg-meanlog-">meanlog1<a class="anchor" aria-label="anchor" href="#arg-meanlog-"></a></dt>
 <dd><p>mean on log scale parameter.</p></dd>
 
 
-<dt>sdlog1</dt>
+<dt id="arg-sdlog-">sdlog1<a class="anchor" aria-label="anchor" href="#arg-sdlog-"></a></dt>
 <dd><p>standard deviation on log scale parameter.</p></dd>
 
 
-<dt>meanlog2</dt>
+<dt id="arg-meanlog-">meanlog2<a class="anchor" aria-label="anchor" href="#arg-meanlog-"></a></dt>
 <dd><p>mean on log scale parameter.</p></dd>
 
 
-<dt>sdlog2</dt>
+<dt id="arg-sdlog-">sdlog2<a class="anchor" aria-label="anchor" href="#arg-sdlog-"></a></dt>
 <dd><p>standard deviation on log scale parameter.</p></dd>
 
 
-<dt>meanlog</dt>
+<dt id="arg-meanlog">meanlog<a class="anchor" aria-label="anchor" href="#arg-meanlog"></a></dt>
 <dd><p>mean on log scale parameter.</p></dd>
 
 
-<dt>sdlog</dt>
+<dt id="arg-sdlog">sdlog<a class="anchor" aria-label="anchor" href="#arg-sdlog"></a></dt>
 <dd><p>standard deviation on log scale parameter.</p></dd>
 
 
-<dt>burrIII3.weight</dt>
+<dt id="arg-burriii-weight">burrIII3.weight<a class="anchor" aria-label="anchor" href="#arg-burriii-weight"></a></dt>
 <dd><p>weight parameter for the Burr III distribution.</p></dd>
 
 
-<dt>burrIII3.shape1</dt>
+<dt id="arg-burriii-shape-">burrIII3.shape1<a class="anchor" aria-label="anchor" href="#arg-burriii-shape-"></a></dt>
 <dd><p>shape1 parameter for the Burr III distribution.</p></dd>
 
 
-<dt>burrIII3.shape2</dt>
+<dt id="arg-burriii-shape-">burrIII3.shape2<a class="anchor" aria-label="anchor" href="#arg-burriii-shape-"></a></dt>
 <dd><p>shape2 parameter for the Burr III distribution.</p></dd>
 
 
-<dt>burrIII3.scale</dt>
+<dt id="arg-burriii-scale">burrIII3.scale<a class="anchor" aria-label="anchor" href="#arg-burriii-scale"></a></dt>
 <dd><p>scale parameter for the Burr III distribution.</p></dd>
 
 
-<dt>gamma.weight</dt>
+<dt id="arg-gamma-weight">gamma.weight<a class="anchor" aria-label="anchor" href="#arg-gamma-weight"></a></dt>
 <dd><p>weight parameter for the gamma distribution.</p></dd>
 
 
-<dt>gamma.shape</dt>
+<dt id="arg-gamma-shape">gamma.shape<a class="anchor" aria-label="anchor" href="#arg-gamma-shape"></a></dt>
 <dd><p>shape parameter for the gamma distribution.</p></dd>
 
 
-<dt>gamma.scale</dt>
+<dt id="arg-gamma-scale">gamma.scale<a class="anchor" aria-label="anchor" href="#arg-gamma-scale"></a></dt>
 <dd><p>scale parameter for the gamma distribution.</p></dd>
 
 
-<dt>gompertz.weight</dt>
+<dt id="arg-gompertz-weight">gompertz.weight<a class="anchor" aria-label="anchor" href="#arg-gompertz-weight"></a></dt>
 <dd><p>weight parameter for the Gompertz distribution.</p></dd>
 
 
-<dt>gompertz.location</dt>
+<dt id="arg-gompertz-location">gompertz.location<a class="anchor" aria-label="anchor" href="#arg-gompertz-location"></a></dt>
 <dd><p>location parameter for the Gompertz distribution.</p></dd>
 
 
-<dt>gompertz.shape</dt>
+<dt id="arg-gompertz-shape">gompertz.shape<a class="anchor" aria-label="anchor" href="#arg-gompertz-shape"></a></dt>
 <dd><p>shape parameter for the Gompertz distribution.</p></dd>
 
 
-<dt>invpareto.weight</dt>
+<dt id="arg-invpareto-weight">invpareto.weight<a class="anchor" aria-label="anchor" href="#arg-invpareto-weight"></a></dt>
 <dd><p>weight parameter for the inverse Pareto distribution.</p></dd>
 
 
-<dt>invpareto.shape</dt>
+<dt id="arg-invpareto-shape">invpareto.shape<a class="anchor" aria-label="anchor" href="#arg-invpareto-shape"></a></dt>
 <dd><p>shape parameter for the inverse Pareto distribution.</p></dd>
 
 
-<dt>invpareto.scale</dt>
+<dt id="arg-invpareto-scale">invpareto.scale<a class="anchor" aria-label="anchor" href="#arg-invpareto-scale"></a></dt>
 <dd><p>scale parameter for the inverse Pareto distribution.</p></dd>
 
 
-<dt>lgumbel.weight</dt>
+<dt id="arg-lgumbel-weight">lgumbel.weight<a class="anchor" aria-label="anchor" href="#arg-lgumbel-weight"></a></dt>
 <dd><p>weight parameter for the log-Gumbel distribution.</p></dd>
 
 
-<dt>lgumbel.locationlog</dt>
+<dt id="arg-lgumbel-locationlog">lgumbel.locationlog<a class="anchor" aria-label="anchor" href="#arg-lgumbel-locationlog"></a></dt>
 <dd><p>location parameter for the log-Gumbel distribution.</p></dd>
 
 
-<dt>lgumbel.scalelog</dt>
+<dt id="arg-lgumbel-scalelog">lgumbel.scalelog<a class="anchor" aria-label="anchor" href="#arg-lgumbel-scalelog"></a></dt>
 <dd><p>scale parameter for the log-Gumbel distribution.</p></dd>
 
 
-<dt>llogis.weight</dt>
+<dt id="arg-llogis-weight">llogis.weight<a class="anchor" aria-label="anchor" href="#arg-llogis-weight"></a></dt>
 <dd><p>weight parameter for the log-logistic distribution.</p></dd>
 
 
-<dt>llogis.locationlog</dt>
+<dt id="arg-llogis-locationlog">llogis.locationlog<a class="anchor" aria-label="anchor" href="#arg-llogis-locationlog"></a></dt>
 <dd><p>location parameter for the log-logistic distribution.</p></dd>
 
 
-<dt>llogis.scalelog</dt>
+<dt id="arg-llogis-scalelog">llogis.scalelog<a class="anchor" aria-label="anchor" href="#arg-llogis-scalelog"></a></dt>
 <dd><p>scale parameter for the log-logistic distribution.</p></dd>
 
 
-<dt>llogis_llogis.weight</dt>
+<dt id="arg-llogis-llogis-weight">llogis_llogis.weight<a class="anchor" aria-label="anchor" href="#arg-llogis-llogis-weight"></a></dt>
 <dd><p>weight parameter for the log-logistic log-logistic mixture distribution.</p></dd>
 
 
-<dt>llogis_llogis.locationlog1</dt>
+<dt id="arg-llogis-llogis-locationlog-">llogis_llogis.locationlog1<a class="anchor" aria-label="anchor" href="#arg-llogis-llogis-locationlog-"></a></dt>
 <dd><p>locationlog1 parameter for the log-logistic log-logistic mixture distribution.</p></dd>
 
 
-<dt>llogis_llogis.scalelog1</dt>
+<dt id="arg-llogis-llogis-scalelog-">llogis_llogis.scalelog1<a class="anchor" aria-label="anchor" href="#arg-llogis-llogis-scalelog-"></a></dt>
 <dd><p>scalelog1 parameter for the log-logistic log-logistic mixture distribution.</p></dd>
 
 
-<dt>llogis_llogis.locationlog2</dt>
+<dt id="arg-llogis-llogis-locationlog-">llogis_llogis.locationlog2<a class="anchor" aria-label="anchor" href="#arg-llogis-llogis-locationlog-"></a></dt>
 <dd><p>locationlog2 parameter for the log-logistic log-logistic mixture distribution.</p></dd>
 
 
-<dt>llogis_llogis.scalelog2</dt>
+<dt id="arg-llogis-llogis-scalelog-">llogis_llogis.scalelog2<a class="anchor" aria-label="anchor" href="#arg-llogis-llogis-scalelog-"></a></dt>
 <dd><p>scalelog2 parameter for the log-logistic log-logistic mixture distribution.</p></dd>
 
 
-<dt>llogis_llogis.pmix</dt>
+<dt id="arg-llogis-llogis-pmix">llogis_llogis.pmix<a class="anchor" aria-label="anchor" href="#arg-llogis-llogis-pmix"></a></dt>
 <dd><p>pmix parameter for the log-logistic log-logistic mixture distribution.</p></dd>
 
 
-<dt>lnorm.weight</dt>
+<dt id="arg-lnorm-weight">lnorm.weight<a class="anchor" aria-label="anchor" href="#arg-lnorm-weight"></a></dt>
 <dd><p>weight parameter for the log-normal distribution.</p></dd>
 
 
-<dt>lnorm.meanlog</dt>
+<dt id="arg-lnorm-meanlog">lnorm.meanlog<a class="anchor" aria-label="anchor" href="#arg-lnorm-meanlog"></a></dt>
 <dd><p>meanlog parameter for the log-normal distribution.</p></dd>
 
 
-<dt>lnorm.sdlog</dt>
+<dt id="arg-lnorm-sdlog">lnorm.sdlog<a class="anchor" aria-label="anchor" href="#arg-lnorm-sdlog"></a></dt>
 <dd><p>sdlog parameter for the log-normal distribution.</p></dd>
 
 
-<dt>lnorm_lnorm.weight</dt>
+<dt id="arg-lnorm-lnorm-weight">lnorm_lnorm.weight<a class="anchor" aria-label="anchor" href="#arg-lnorm-lnorm-weight"></a></dt>
 <dd><p>weight parameter for the log-normal log-normal mixture distribution.</p></dd>
 
 
-<dt>lnorm_lnorm.meanlog1</dt>
+<dt id="arg-lnorm-lnorm-meanlog-">lnorm_lnorm.meanlog1<a class="anchor" aria-label="anchor" href="#arg-lnorm-lnorm-meanlog-"></a></dt>
 <dd><p>meanlog1 parameter for the log-normal log-normal mixture distribution.</p></dd>
 
 
-<dt>lnorm_lnorm.sdlog1</dt>
+<dt id="arg-lnorm-lnorm-sdlog-">lnorm_lnorm.sdlog1<a class="anchor" aria-label="anchor" href="#arg-lnorm-lnorm-sdlog-"></a></dt>
 <dd><p>sdlog1 parameter for the log-normal log-normal mixture distribution.</p></dd>
 
 
-<dt>lnorm_lnorm.meanlog2</dt>
+<dt id="arg-lnorm-lnorm-meanlog-">lnorm_lnorm.meanlog2<a class="anchor" aria-label="anchor" href="#arg-lnorm-lnorm-meanlog-"></a></dt>
 <dd><p>meanlog2 parameter for the log-normal log-normal mixture distribution.</p></dd>
 
 
-<dt>lnorm_lnorm.sdlog2</dt>
+<dt id="arg-lnorm-lnorm-sdlog-">lnorm_lnorm.sdlog2<a class="anchor" aria-label="anchor" href="#arg-lnorm-lnorm-sdlog-"></a></dt>
 <dd><p>sdlog2 parameter for the log-normal log-normal mixture distribution.</p></dd>
 
 
-<dt>lnorm_lnorm.pmix</dt>
+<dt id="arg-lnorm-lnorm-pmix">lnorm_lnorm.pmix<a class="anchor" aria-label="anchor" href="#arg-lnorm-lnorm-pmix"></a></dt>
 <dd><p>pmix parameter for the log-normal log-normal mixture distribution.</p></dd>
 
 
-<dt>weibull.weight</dt>
+<dt id="arg-weibull-weight">weibull.weight<a class="anchor" aria-label="anchor" href="#arg-weibull-weight"></a></dt>
 <dd><p>weight parameter for the Weibull distribution.</p></dd>
 
 
-<dt>weibull.shape</dt>
+<dt id="arg-weibull-shape">weibull.shape<a class="anchor" aria-label="anchor" href="#arg-weibull-shape"></a></dt>
 <dd><p>shape parameter for the Weibull distribution.</p></dd>
 
 
-<dt>weibull.scale</dt>
+<dt id="arg-weibull-scale">weibull.scale<a class="anchor" aria-label="anchor" href="#arg-weibull-scale"></a></dt>
 <dd><p>scale parameter for the Weibull distribution.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="functions">Functions<a class="anchor" aria-label="anchor" href="#functions"></a></h2>
-    
+
 <ul><li><p><code>ssd_rburrIII3()</code>: Random Generation for BurrIII Distribution</p></li>
 <li><p><code>ssd_rgamma()</code>: Random Generation for Gamma Distribution</p></li>
 <li><p><code>ssd_rgompertz()</code>: Random Generation for Gompertz Distribution</p></li>
@@ -425,17 +410,22 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/graphics/hist.html" class="external-link">hist</a></span><span class="op">(</span><span class="fu">ssd_rlnorm</span><span class="op">(</span><span class="fl">10000</span><span class="op">)</span>, breaks <span class="op">=</span> <span class="fl">1000</span><span class="op">)</span></span></span>
 <span class="r-plt img"><img src="ssd_r-9.png" alt="" width="700" height="433"></span>
 <span class="r-in"><span></span></span>
-<span class="r-in"><span><span class="co"># multi </span></span></span>
+<span class="r-in"><span><span class="co"># multi</span></span></span>
 <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/Random.html" class="external-link">set.seed</a></span><span class="op">(</span><span class="fl">50</span><span class="op">)</span></span></span>
 <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/graphics/hist.html" class="external-link">hist</a></span><span class="op">(</span><span class="fu">ssd_rmulti</span><span class="op">(</span><span class="fl">1000</span><span class="op">)</span>, breaks <span class="op">=</span> <span class="fl">100</span><span class="op">)</span></span></span>
 <span class="r-plt img"><img src="ssd_r-10.png" alt="" width="700" height="433"></span>
 <span class="r-in"><span></span></span>
+<span class="r-in"><span><span class="va">fits</span> <span class="op">&lt;-</span> <span class="fu"><a href="ssd_fit_dists.html">ssd_fit_dists</a></span><span class="op">(</span><span class="fu">ssddata</span><span class="fu">::</span><span class="va"><a href="https://rdrr.io/pkg/ssddata/man/ccme_boron.html" class="external-link">ccme_boron</a></span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/do.call.html" class="external-link">do.call</a></span><span class="op">(</span><span class="st">"ssd_rmulti"</span>, <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span>n <span class="op">=</span> <span class="fl">10</span>, <span class="fu"><a href="https://poissonconsulting.github.io/universals/reference/estimates.html" class="external-link">estimates</a></span><span class="op">(</span><span class="va">fits</span><span class="op">)</span><span class="op">)</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  [1] 17.304624 16.362765 10.053949 16.579923  9.037985 13.098314 10.492514</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  [8] 24.010139 14.919955 25.951924</span>
+<span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/Random.html" class="external-link">set.seed</a></span><span class="op">(</span><span class="fl">50</span><span class="op">)</span></span></span>
 <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/graphics/hist.html" class="external-link">hist</a></span><span class="op">(</span><span class="fu">ssd_rweibull</span><span class="op">(</span><span class="fl">10000</span><span class="op">)</span>, breaks <span class="op">=</span> <span class="fl">1000</span><span class="op">)</span></span></span>
 <span class="r-plt img"><img src="ssd_r-11.png" alt="" width="700" height="433"></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -444,14 +434,14 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/ssd_sort_data.html b/reference/ssd_sort_data.html
index e025ecee..73b8ef7e 100644
--- a/reference/ssd_sort_data.html
+++ b/reference/ssd_sort_data.html
@@ -1,53 +1,36 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Sorts Species Sensitivity Data by empirical cumulative density (ECD)."><title>Sort Species Sensitivity Data — ssd_sort_data • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Sort Species Sensitivity Data — ssd_sort_data"><meta property="og:description" content="Sorts Species Sensitivity Data by empirical cumulative density (ECD)."><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Sort Species Sensitivity Data — ssd_sort_data • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Sort Species Sensitivity Data — ssd_sort_data"><meta name="description" content="Sorts Species Sensitivity Data by empirical cumulative density (ECD)."><meta property="og:description" content="Sorts Species Sensitivity Data by empirical cumulative density (ECD)."><meta property="og:image" content="/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/ssdtools.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../articles/index.html">Articles</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/ssdtools.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Sort Species Sensitivity Data</h1>
-      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/HEAD/R/utils.R" class="external-link"><code>R/utils.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/main/R/utils.R" class="external-link"><code>R/utils.R</code></a></small>
       <div class="d-none name"><code>ssd_sort_data.Rd</code></div>
     </div>
 
@@ -62,23 +45,23 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>data</dt>
+
+
+<dl><dt id="arg-data">data<a class="anchor" aria-label="anchor" href="#arg-data"></a></dt>
 <dd><p>A data frame.</p></dd>
 
 
-<dt>left</dt>
+<dt id="arg-left">left<a class="anchor" aria-label="anchor" href="#arg-left"></a></dt>
 <dd><p>A string of the column in data with the concentrations.</p></dd>
 
 
-<dt>right</dt>
+<dt id="arg-right">right<a class="anchor" aria-label="anchor" href="#arg-right"></a></dt>
 <dd><p>A string of the column in data with the right concentration values.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>data sorted by the empirical cumulative density.</p>
+    <p>data sorted by the empirical cumulative density.</p>
     </div>
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
@@ -110,7 +93,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 18 more rows</span></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -119,14 +102,14 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/ssd_wqg_bc.html b/reference/ssd_wqg_bc.html
index 331b1949..9b86b68c 100644
--- a/reference/ssd_wqg_bc.html
+++ b/reference/ssd_wqg_bc.html
@@ -1,59 +1,42 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Calculates the 5% Hazard Concentration for British Columbia
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Water Quality Guideline for British Columbia — ssd_wqg_bc • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Water Quality Guideline for British Columbia — ssd_wqg_bc"><meta name="description" content="Calculates the 5% Hazard Concentration for British Columbia
 after rescaling the data
 based on the log-logistic, log-normal and gamma distributions
-using the parametric bootstrap and AICc model averaging."><title>Water Quality Guideline for British Columbia — ssd_wqg_bc • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Water Quality Guideline for British Columbia — ssd_wqg_bc"><meta property="og:description" content="Calculates the 5% Hazard Concentration for British Columbia
+using the parametric bootstrap and AICc model averaging."><meta property="og:description" content="Calculates the 5% Hazard Concentration for British Columbia
 after rescaling the data
 based on the log-logistic, log-normal and gamma distributions
-using the parametric bootstrap and AICc model averaging."><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+using the parametric bootstrap and AICc model averaging."><meta property="og:image" content="/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/ssdtools.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../articles/index.html">Articles</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/ssdtools.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Water Quality Guideline for British Columbia</h1>
-      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/HEAD/R/wqg.R" class="external-link"><code>R/wqg.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/main/R/wqg.R" class="external-link"><code>R/wqg.R</code></a></small>
       <div class="d-none name"><code>ssd_wqg_bc.Rd</code></div>
     </div>
 
@@ -71,19 +54,19 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>data</dt>
+
+
+<dl><dt id="arg-data">data<a class="anchor" aria-label="anchor" href="#arg-data"></a></dt>
 <dd><p>A data frame.</p></dd>
 
 
-<dt>left</dt>
+<dt id="arg-left">left<a class="anchor" aria-label="anchor" href="#arg-left"></a></dt>
 <dd><p>A string of the column in data with the concentrations.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>A tibble of the 5% hazard concentration with 95% confidence intervals.</p>
+    <p>A tibble of the 5% hazard concentration with 95% confidence intervals.</p>
     </div>
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
@@ -96,18 +79,18 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
     <div class="section level2">
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
     <div class="dont-index"><p><code><a href="ssd_fit_dists.html">ssd_fit_dists()</a></code> and <code><a href="ssd_hc.html">ssd_hc()</a></code></p>
-<p>Other wqg: 
+<p>Other wqg:
 <code><a href="ssd_wqg_burrlioz.html">ssd_wqg_burrlioz</a>()</code></p></div>
     </div>
 
     <div class="section level2">
     <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="kw">if</span> <span class="op">(</span><span class="cn">FALSE</span><span class="op">)</span> <span class="op">{</span></span></span>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="kw">if</span> <span class="op">(</span><span class="cn">FALSE</span><span class="op">)</span> <span class="op">{</span> <span class="co"># \dontrun{</span></span></span>
 <span class="r-in"><span><span class="fu">ssd_wqg_bc</span><span class="op">(</span><span class="fu">ssddata</span><span class="fu">::</span><span class="va"><a href="https://rdrr.io/pkg/ssddata/man/ccme_boron.html" class="external-link">ccme_boron</a></span><span class="op">)</span></span></span>
-<span class="r-in"><span><span class="op">}</span></span></span>
+<span class="r-in"><span><span class="op">}</span> <span class="co"># }</span></span></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -116,14 +99,14 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/ssd_wqg_burrlioz.html b/reference/ssd_wqg_burrlioz.html
index 6d1a2645..604a1139 100644
--- a/reference/ssd_wqg_burrlioz.html
+++ b/reference/ssd_wqg_burrlioz.html
@@ -1,57 +1,40 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Calculates the 5% Hazard Concentration (after rescaling the data)
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Water Quality Guideline for Burrlioz — ssd_wqg_burrlioz • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Water Quality Guideline for Burrlioz — ssd_wqg_burrlioz"><meta name="description" content="Calculates the 5% Hazard Concentration (after rescaling the data)
 using the same approach as Burrlioz based on 10,000 non-parametric bootstrap
-samples."><title>Water Quality Guideline for Burrlioz — ssd_wqg_burrlioz • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Water Quality Guideline for Burrlioz — ssd_wqg_burrlioz"><meta property="og:description" content="Calculates the 5% Hazard Concentration (after rescaling the data)
+samples."><meta property="og:description" content="Calculates the 5% Hazard Concentration (after rescaling the data)
 using the same approach as Burrlioz based on 10,000 non-parametric bootstrap
-samples."><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+samples."><meta property="og:image" content="/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/ssdtools.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../articles/index.html">Articles</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/ssdtools.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Water Quality Guideline for Burrlioz</h1>
-      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/HEAD/R/wqg.R" class="external-link"><code>R/wqg.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/main/R/wqg.R" class="external-link"><code>R/wqg.R</code></a></small>
       <div class="d-none name"><code>ssd_wqg_burrlioz.Rd</code></div>
     </div>
 
@@ -68,19 +51,19 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>data</dt>
+
+
+<dl><dt id="arg-data">data<a class="anchor" aria-label="anchor" href="#arg-data"></a></dt>
 <dd><p>A data frame.</p></dd>
 
 
-<dt>left</dt>
+<dt id="arg-left">left<a class="anchor" aria-label="anchor" href="#arg-left"></a></dt>
 <dd><p>A string of the column in data with the concentrations.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>A tibble of the 5% hazard concentration with 95% confidence intervals.</p>
+    <p>A tibble of the 5% hazard concentration with 95% confidence intervals.</p>
     </div>
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
@@ -93,18 +76,18 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
     <div class="section level2">
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
     <div class="dont-index"><p><code><a href="ssd_fit_burrlioz.html">ssd_fit_burrlioz()</a></code> and <code><a href="ssd_hc_burrlioz.html">ssd_hc_burrlioz()</a></code></p>
-<p>Other wqg: 
+<p>Other wqg:
 <code><a href="ssd_wqg_bc.html">ssd_wqg_bc</a>()</code></p></div>
     </div>
 
     <div class="section level2">
     <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="kw">if</span> <span class="op">(</span><span class="cn">FALSE</span><span class="op">)</span> <span class="op">{</span></span></span>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="kw">if</span> <span class="op">(</span><span class="cn">FALSE</span><span class="op">)</span> <span class="op">{</span> <span class="co"># \dontrun{</span></span></span>
 <span class="r-in"><span><span class="fu">ssd_wqg_burrlioz</span><span class="op">(</span><span class="fu">ssddata</span><span class="fu">::</span><span class="va"><a href="https://rdrr.io/pkg/ssddata/man/ccme_boron.html" class="external-link">ccme_boron</a></span><span class="op">)</span></span></span>
-<span class="r-in"><span><span class="op">}</span></span></span>
+<span class="r-in"><span><span class="op">}</span> <span class="co"># }</span></span></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -113,14 +96,14 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/ssdtools-ggproto.html b/reference/ssdtools-ggproto.html
index dec3fd05..80b3a88e 100644
--- a/reference/ssdtools-ggproto.html
+++ b/reference/ssdtools-ggproto.html
@@ -1,53 +1,36 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="ggproto Classes for Plotting Species Sensitivity Data and Distributions"><title>ggproto Classes for Plotting Species Sensitivity Data and Distributions — ssdtools-ggproto • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="ggproto Classes for Plotting Species Sensitivity Data and Distributions — ssdtools-ggproto"><meta property="og:description" content="ggproto Classes for Plotting Species Sensitivity Data and Distributions"><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>ggproto Classes for Plotting Species Sensitivity Data and Distributions — ssdtools-ggproto • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="ggproto Classes for Plotting Species Sensitivity Data and Distributions — ssdtools-ggproto"><meta name="description" content="ggproto Classes for Plotting Species Sensitivity Data and Distributions"><meta property="og:description" content="ggproto Classes for Plotting Species Sensitivity Data and Distributions"><meta property="og:image" content="/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/ssdtools.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../articles/index.html">Articles</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/ssdtools.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>ggproto Classes for Plotting Species Sensitivity Data and Distributions</h1>
-      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/HEAD/R/ggproto.R" class="external-link"><code>R/ggproto.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/main/R/ggproto.R" class="external-link"><code>R/ggproto.R</code></a></small>
       <div class="d-none name"><code>ssdtools-ggproto.Rd</code></div>
     </div>
 
@@ -84,7 +67,7 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
     <div class="dont-index"><p><code><a href="https://ggplot2.tidyverse.org/reference/ggproto.html" class="external-link">ggplot2::ggproto()</a></code> and <code><a href="ssd_plot_cdf.html">ssd_plot_cdf()</a></code></p></div>
     </div>
 
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -93,14 +76,14 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/ssdtools-package.html b/reference/ssdtools-package.html
index 2b99e79d..582bc5e0 100644
--- a/reference/ssdtools-package.html
+++ b/reference/ssdtools-package.html
@@ -1,55 +1,38 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="
-Species sensitivity distributions are cumulative probability distributions which are fitted to toxicity concentrations for different species as described by Posthuma et al.(2001) &amp;lt;isbn:9781566705783&amp;gt;. The ssdtools package uses Maximum Likelihood to fit distributions such as the gamma, log-logistic, log-normal and log-normal log-normal mixture. Multiple distributions can be averaged using Akaike Information Criteria. Confidence intervals on hazard concentrations and proportions are produced by parametric bootstrapping."><title>ssdtools: Species Sensitivity Distributions — ssdtools-package • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="ssdtools: Species Sensitivity Distributions — ssdtools-package"><meta property="og:description" content="
-Species sensitivity distributions are cumulative probability distributions which are fitted to toxicity concentrations for different species as described by Posthuma et al.(2001) &amp;lt;isbn:9781566705783&amp;gt;. The ssdtools package uses Maximum Likelihood to fit distributions such as the gamma, log-logistic, log-normal and log-normal log-normal mixture. Multiple distributions can be averaged using Akaike Information Criteria. Confidence intervals on hazard concentrations and proportions are produced by parametric bootstrapping."><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>ssdtools: Species Sensitivity Distributions — ssdtools-package • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="ssdtools: Species Sensitivity Distributions — ssdtools-package"><meta name="description" content="
+Species sensitivity distributions are cumulative probability distributions which are fitted to toxicity concentrations for different species as described by Posthuma et al.(2001) &amp;lt;isbn:9781566705783&amp;gt;. The ssdtools package uses Maximum Likelihood to fit distributions such as the gamma, log-logistic, log-normal and log-normal log-normal mixture. Multiple distributions can be averaged using Akaike Information Criteria. Confidence intervals on hazard concentrations and proportions are produced by parametric bootstrapping."><meta property="og:description" content="
+Species sensitivity distributions are cumulative probability distributions which are fitted to toxicity concentrations for different species as described by Posthuma et al.(2001) &amp;lt;isbn:9781566705783&amp;gt;. The ssdtools package uses Maximum Likelihood to fit distributions such as the gamma, log-logistic, log-normal and log-normal log-normal mixture. Multiple distributions can be averaged using Akaike Information Criteria. Confidence intervals on hazard concentrations and proportions are produced by parametric bootstrapping."><meta property="og:image" content="/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/ssdtools.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../articles/index.html">Articles</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/ssdtools.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>ssdtools: Species Sensitivity Distributions</h1>
-      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/HEAD/R/ssdtools-package.R" class="external-link"><code>R/ssdtools-package.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/main/R/ssdtools-package.R" class="external-link"><code>R/ssdtools-package.R</code></a></small>
       <div class="d-none name"><code>ssdtools-package.Rd</code></div>
     </div>
 
@@ -79,9 +62,7 @@ <h2 id="author">Author<a class="anchor" aria-label="anchor" href="#author"></a><
 <li><p>Doug Spry [contributor]</p></li>
 <li><p>Rick van Dam [contributor]</p></li>
 <li><p>Graham Batley [contributor]</p></li>
-<li><p>Yulia Cuthbertson [contributor]</p></li>
 <li><p>Tony Bigwood [contributor]</p></li>
-<li><p>Michael Antenucci [contributor]</p></li>
 <li><p>Ali Azizishirazi [contributor]</p></li>
 <li><p>Nadine Hussein <a href="mailto:nadine@poissonconsulting.ca">nadine@poissonconsulting.ca</a> (<a href="https://orcid.org/0000-0003-4470-8361" class="external-link">ORCID</a>) [contributor]</p></li>
 <li><p>Sarah Lyons <a href="mailto:sarah@poissonconsulting.ca">sarah@poissonconsulting.ca</a> (<a href="https://orcid.org/0000-0002-6745-6796" class="external-link">ORCID</a>) [contributor]</p></li>
@@ -96,7 +77,7 @@ <h2 id="author">Author<a class="anchor" aria-label="anchor" href="#author"></a><
 <li><p>Australian Government Department of Climate Change, Energy, the Environment and Water [funder, copyright holder]</p></li>
 </ul></div>
 
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -105,14 +86,14 @@ <h2 id="author">Author<a class="anchor" aria-label="anchor" href="#author"></a><
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/stat_ssd.html b/reference/stat_ssd.html
index 8715e100..5473246e 100644
--- a/reference/stat_ssd.html
+++ b/reference/stat_ssd.html
@@ -1,53 +1,36 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Uses the empirical cumulative density/distribution to visualize species sensitivity data."><title>Plot Species Sensitivity Data  — stat_ssd • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Plot Species Sensitivity Data  — stat_ssd"><meta property="og:description" content="Uses the empirical cumulative density/distribution to visualize species sensitivity data."><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Plot Species Sensitivity Data  — stat_ssd • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Plot Species Sensitivity Data  — stat_ssd"><meta name="description" content="Uses the empirical cumulative density/distribution to visualize species sensitivity data."><meta property="og:description" content="Uses the empirical cumulative density/distribution to visualize species sensitivity data."><meta property="og:image" content="/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/ssdtools.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../articles/index.html">Articles</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/ssdtools.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Plot Species Sensitivity Data <a href="https://lifecycle.r-lib.org/articles/stages.html#deprecated" class="external-link"><img src="figures/lifecycle-deprecated.svg" alt="[Deprecated]"></a></h1>
-      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/HEAD/R/ggplot.R" class="external-link"><code>R/ggplot.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/main/R/ggplot.R" class="external-link"><code>R/ggplot.R</code></a></small>
       <div class="d-none name"><code>stat_ssd.Rd</code></div>
     </div>
 
@@ -71,14 +54,16 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>mapping</dt>
+
+
+<dl><dt id="arg-mapping">mapping<a class="anchor" aria-label="anchor" href="#arg-mapping"></a></dt>
 <dd><p>Set of aesthetic mappings created by <code><a href="https://ggplot2.tidyverse.org/reference/aes.html" class="external-link">aes()</a></code>. If specified and
 <code>inherit.aes = TRUE</code> (the default), it is combined with the default mapping
 at the top level of the plot. You must supply <code>mapping</code> if there is no plot
 mapping.</p></dd>
 
 
-<dt>data</dt>
+<dt id="arg-data">data<a class="anchor" aria-label="anchor" href="#arg-data"></a></dt>
 <dd><p>The data to be displayed in this layer. There are three
 options:</p>
 <p>If <code>NULL</code>, the default, the data is inherited from the plot
@@ -92,7 +77,7 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 from a <code>formula</code> (e.g. <code>~ head(.x, 10)</code>).</p></dd>
 
 
-<dt>geom</dt>
+<dt id="arg-geom">geom<a class="anchor" aria-label="anchor" href="#arg-geom"></a></dt>
 <dd><p>The geometric object to use to display the data for this layer.
 When using a <code>stat_*()</code> function to construct a layer, the <code>geom</code> argument
 can be used to override the default coupling between stats and geoms. The
@@ -105,7 +90,7 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </ul></dd>
 
 
-<dt>position</dt>
+<dt id="arg-position">position<a class="anchor" aria-label="anchor" href="#arg-position"></a></dt>
 <dd><p>A position adjustment to use on the data for this layer. This
 can be used in various ways, including to prevent overplotting and
 improving the display. The <code>position</code> argument accepts the following:</p><ul><li><p>The result of calling a position function, such as <code><a href="https://ggplot2.tidyverse.org/reference/position_jitter.html" class="external-link">position_jitter()</a></code>.
@@ -118,7 +103,7 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </ul></dd>
 
 
-<dt>...</dt>
+<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
 <dd><p>Other arguments passed on to <code><a href="https://ggplot2.tidyverse.org/reference/layer.html" class="external-link">layer()</a></code>'s <code>params</code> argument. These
 arguments broadly fall into one of 4 categories below. Notably, further
 arguments to the <code>position</code> argument, or aesthetics that are required
@@ -146,12 +131,12 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </ul></dd>
 
 
-<dt>na.rm</dt>
+<dt id="arg-na-rm">na.rm<a class="anchor" aria-label="anchor" href="#arg-na-rm"></a></dt>
 <dd><p>If <code>FALSE</code>, the default, missing values are removed with
 a warning. If <code>TRUE</code>, missing values are silently removed.</p></dd>
 
 
-<dt>show.legend</dt>
+<dt id="arg-show-legend">show.legend<a class="anchor" aria-label="anchor" href="#arg-show-legend"></a></dt>
 <dd><p>logical. Should this layer be included in the legends?
 <code>NA</code>, the default, includes if any aesthetics are mapped.
 <code>FALSE</code> never includes, and <code>TRUE</code> always includes.
@@ -159,7 +144,7 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 display.</p></dd>
 
 
-<dt>inherit.aes</dt>
+<dt id="arg-inherit-aes">inherit.aes<a class="anchor" aria-label="anchor" href="#arg-inherit-aes"></a></dt>
 <dd><p>If <code>FALSE</code>, overrides the default aesthetics,
 rather than combining with them. This is most useful for helper functions
 that define both data and aesthetics and shouldn't inherit behaviour from
@@ -173,13 +158,13 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
 
     <div class="section level2">
     <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="kw">if</span> <span class="op">(</span><span class="cn">FALSE</span><span class="op">)</span> <span class="op">{</span></span></span>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="kw">if</span> <span class="op">(</span><span class="cn">FALSE</span><span class="op">)</span> <span class="op">{</span> <span class="co"># \dontrun{</span></span></span>
 <span class="r-in"><span><span class="fu">ggplot2</span><span class="fu">::</span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/ggplot.html" class="external-link">ggplot</a></span><span class="op">(</span><span class="fu">ssddata</span><span class="fu">::</span><span class="va"><a href="https://rdrr.io/pkg/ssddata/man/ccme_boron.html" class="external-link">ccme_boron</a></span>, <span class="fu">ggplot2</span><span class="fu">::</span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/aes.html" class="external-link">aes</a></span><span class="op">(</span>x <span class="op">=</span> <span class="va">Conc</span><span class="op">)</span><span class="op">)</span> <span class="op">+</span></span></span>
 <span class="r-in"><span>  <span class="fu">stat_ssd</span><span class="op">(</span><span class="op">)</span></span></span>
-<span class="r-in"><span><span class="op">}</span></span></span>
+<span class="r-in"><span><span class="op">}</span> <span class="co"># }</span></span></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -188,14 +173,14 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/subset.fitdists.html b/reference/subset.fitdists.html
index 33ad21a8..1959b422 100644
--- a/reference/subset.fitdists.html
+++ b/reference/subset.fitdists.html
@@ -1,57 +1,40 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Select a subset of distributions from a fitdists object.
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Subset fitdists Object — subset.fitdists • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Subset fitdists Object — subset.fitdists"><meta name="description" content="Select a subset of distributions from a fitdists object.
 The Akaike Information-theoretic Criterion differences are calculated after
-selecting the distributions named in select."><title>Subset fitdists Object — subset.fitdists • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Subset fitdists Object — subset.fitdists"><meta property="og:description" content="Select a subset of distributions from a fitdists object.
+selecting the distributions named in select."><meta property="og:description" content="Select a subset of distributions from a fitdists object.
 The Akaike Information-theoretic Criterion differences are calculated after
-selecting the distributions named in select."><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+selecting the distributions named in select."><meta property="og:image" content="/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/ssdtools.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../articles/index.html">Articles</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/ssdtools.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Subset fitdists Object</h1>
-      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/HEAD/R/subset.R" class="external-link"><code>R/subset.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/main/R/subset.R" class="external-link"><code>R/subset.R</code></a></small>
       <div class="d-none name"><code>subset.fitdists.Rd</code></div>
     </div>
 
@@ -63,26 +46,28 @@
 
     <div class="section level2">
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="co"># S3 method for fitdists</span></span>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="co"># S3 method for class 'fitdists'</span></span>
 <span><span class="fu"><a href="https://rdrr.io/r/base/subset.html" class="external-link">subset</a></span><span class="op">(</span><span class="va">x</span>, select <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/names.html" class="external-link">names</a></span><span class="op">(</span><span class="va">x</span><span class="op">)</span>, delta <span class="op">=</span> <span class="cn">Inf</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
     </div>
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>x</dt>
+
+
+<dl><dt id="arg-x">x<a class="anchor" aria-label="anchor" href="#arg-x"></a></dt>
 <dd><p>The object.</p></dd>
 
 
-<dt>select</dt>
+<dt id="arg-select">select<a class="anchor" aria-label="anchor" href="#arg-select"></a></dt>
 <dd><p>A character vector of the distributions to select.</p></dd>
 
 
-<dt>delta</dt>
+<dt id="arg-delta">delta<a class="anchor" aria-label="anchor" href="#arg-delta"></a></dt>
 <dd><p>A non-negative number specifying the maximum absolute AIC difference cutoff.
 Distributions with an absolute AIC difference greater than delta are excluded from the calculations.</p></dd>
 
 
-<dt>...</dt>
+<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
 <dd><p>Unused.</p></dd>
 
 </dl></div>
@@ -102,7 +87,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> Parameters estimated from 28 rows of data.</span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -111,14 +96,14 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/tidy.fitdists.html b/reference/tidy.fitdists.html
index 2ce6e468..ccbb9f15 100644
--- a/reference/tidy.fitdists.html
+++ b/reference/tidy.fitdists.html
@@ -1,57 +1,40 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Turns a fitdists object into a tidy tibble of the
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Turn a fitdists Object into a Tibble — tidy.fitdists • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Turn a fitdists Object into a Tibble — tidy.fitdists"><meta name="description" content="Turns a fitdists object into a tidy tibble of the
 estimates (est) and standard errors (se) by the
-terms (term) and distributions (dist)."><title>Turn a fitdists Object into a Tibble — tidy.fitdists • ssdtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Turn a fitdists Object into a Tibble — tidy.fitdists"><meta property="og:description" content="Turns a fitdists object into a tidy tibble of the
+terms (term) and distributions (dist)."><meta property="og:description" content="Turns a fitdists object into a tidy tibble of the
 estimates (est) and standard errors (se) by the
-terms (term) and distributions (dist)."><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+terms (term) and distributions (dist)."><meta property="og:image" content="/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">ssdtools</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9015</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.0.6.9018</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/ssdtools.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../articles/index.html">Articles</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/ssdtools.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../articles/index.html">Articles</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/bcgov/ssdtools/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Turn a fitdists Object into a Tibble</h1>
-      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/HEAD/R/tidy.R" class="external-link"><code>R/tidy.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/bcgov/ssdtools/blob/main/R/tidy.R" class="external-link"><code>R/tidy.R</code></a></small>
       <div class="d-none name"><code>tidy.fitdists.Rd</code></div>
     </div>
 
@@ -63,34 +46,34 @@
 
     <div class="section level2">
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="co"># S3 method for fitdists</span></span>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="co"># S3 method for class 'fitdists'</span></span>
 <span><span class="fu"><a href="https://generics.r-lib.org/reference/tidy.html" class="external-link">tidy</a></span><span class="op">(</span><span class="va">x</span>, all <span class="op">=</span> <span class="cn">FALSE</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
     </div>
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>x</dt>
+
+
+<dl><dt id="arg-x">x<a class="anchor" aria-label="anchor" href="#arg-x"></a></dt>
 <dd><p>The object.</p></dd>
 
 
-<dt>all</dt>
+<dt id="arg-all">all<a class="anchor" aria-label="anchor" href="#arg-all"></a></dt>
 <dd><p>A flag specifying whether to also return transformed parameters.</p></dd>
 
 
-<dt>...</dt>
+<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
 <dd><p>Unused.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>A tidy tibble of the estimates and standard errors.</p>
+    <p>A tidy tibble of the estimates and standard errors.</p>
     </div>
     <div class="section level2">
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
     <div class="dont-index"><p><code><a href="coef.fitdists.html">coef.fitdists()</a></code></p>
-<p>Other generics: 
+<p>Other generics:
 <code><a href="augment.fitdists.html">augment.fitdists</a>()</code>,
 <code><a href="glance.fitdists.html">glance.fitdists</a>()</code></p></div>
     </div>
@@ -113,7 +96,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> lnorm_lnorm meanlog1     0.949 0.318</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> lnorm_lnorm meanlog2     3.20  0.253</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">11</span> lnorm_lnorm pmix         0.284 0.123</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">12</span> lnorm_lnorm sdlog1       0.555 0.212</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">12</span> lnorm_lnorm sdlog1       0.554 0.212</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">13</span> lnorm_lnorm sdlog2       0.769 0.194</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">14</span> weibull     scale       23.5   4.86 </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">15</span> weibull     shape        0.966 0.145</span>
@@ -134,7 +117,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 14 more rows</span></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -143,14 +126,14 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/search.json b/search.json
index 30222858..6c21e8d4 100644
--- a/search.json
+++ b/search.json
@@ -1 +1 @@
-[{"path":[]},{"path":"/CODE_OF_CONDUCT.html","id":"our-pledge","dir":"","previous_headings":"","what":"Our Pledge","title":"Contributor Covenant Code of Conduct","text":"members, contributors, leaders pledge make participation community harassment-free experience everyone, regardless age, body size, visible invisible disability, ethnicity, sex characteristics, gender identity expression, level experience, education, socio-economic status, nationality, personal appearance, race, caste, color, religion, sexual identity orientation. pledge act interact ways contribute open, welcoming, diverse, inclusive, healthy community.","code":""},{"path":"/CODE_OF_CONDUCT.html","id":"our-standards","dir":"","previous_headings":"","what":"Our Standards","title":"Contributor Covenant Code of Conduct","text":"Examples behavior contributes positive environment community include: Demonstrating empathy kindness toward people respectful differing opinions, viewpoints, experiences Giving gracefully accepting constructive feedback Accepting responsibility apologizing affected mistakes, learning experience Focusing best just us individuals, overall community Examples unacceptable behavior include: use sexualized language imagery, sexual attention advances kind Trolling, insulting derogatory comments, personal political attacks Public private harassment Publishing others’ private information, physical email address, without explicit permission conduct reasonably considered inappropriate professional setting","code":""},{"path":"/CODE_OF_CONDUCT.html","id":"enforcement-responsibilities","dir":"","previous_headings":"","what":"Enforcement Responsibilities","title":"Contributor Covenant Code of Conduct","text":"Community leaders responsible clarifying enforcing standards acceptable behavior take appropriate fair corrective action response behavior deem inappropriate, threatening, offensive, harmful. Community leaders right responsibility remove, edit, reject comments, commits, code, wiki edits, issues, contributions aligned Code Conduct, communicate reasons moderation decisions appropriate.","code":""},{"path":"/CODE_OF_CONDUCT.html","id":"scope","dir":"","previous_headings":"","what":"Scope","title":"Contributor Covenant Code of Conduct","text":"Code Conduct applies within community spaces, also applies individual officially representing community public spaces. Examples representing community include using official e-mail address, posting via official social media account, acting appointed representative online offline event.","code":""},{"path":"/CODE_OF_CONDUCT.html","id":"enforcement","dir":"","previous_headings":"","what":"Enforcement","title":"Contributor Covenant Code of Conduct","text":"Instances abusive, harassing, otherwise unacceptable behavior may reported community leaders responsible enforcement .github/. complaints reviewed investigated promptly fairly. community leaders obligated respect privacy security reporter incident.","code":""},{"path":"/CODE_OF_CONDUCT.html","id":"enforcement-guidelines","dir":"","previous_headings":"","what":"Enforcement Guidelines","title":"Contributor Covenant Code of Conduct","text":"Community leaders follow Community Impact Guidelines determining consequences action deem violation Code Conduct:","code":""},{"path":"/CODE_OF_CONDUCT.html","id":"id_1-correction","dir":"","previous_headings":"Enforcement Guidelines","what":"1. Correction","title":"Contributor Covenant Code of Conduct","text":"Community Impact: Use inappropriate language behavior deemed unprofessional unwelcome community. Consequence: private, written warning community leaders, providing clarity around nature violation explanation behavior inappropriate. public apology may requested.","code":""},{"path":"/CODE_OF_CONDUCT.html","id":"id_2-warning","dir":"","previous_headings":"Enforcement Guidelines","what":"2. Warning","title":"Contributor Covenant Code of Conduct","text":"Community Impact: violation single incident series actions. Consequence: warning consequences continued behavior. interaction people involved, including unsolicited interaction enforcing Code Conduct, specified period time. includes avoiding interactions community spaces well external channels like social media. Violating terms may lead temporary permanent ban.","code":""},{"path":"/CODE_OF_CONDUCT.html","id":"id_3-temporary-ban","dir":"","previous_headings":"Enforcement Guidelines","what":"3. Temporary Ban","title":"Contributor Covenant Code of Conduct","text":"Community Impact: serious violation community standards, including sustained inappropriate behavior. Consequence: temporary ban sort interaction public communication community specified period time. public private interaction people involved, including unsolicited interaction enforcing Code Conduct, allowed period. Violating terms may lead permanent ban.","code":""},{"path":"/CODE_OF_CONDUCT.html","id":"id_4-permanent-ban","dir":"","previous_headings":"Enforcement Guidelines","what":"4. Permanent Ban","title":"Contributor Covenant Code of Conduct","text":"Community Impact: Demonstrating pattern violation community standards, including sustained inappropriate behavior, harassment individual, aggression toward disparagement classes individuals. Consequence: permanent ban sort public interaction within community.","code":""},{"path":"/CODE_OF_CONDUCT.html","id":"attribution","dir":"","previous_headings":"","what":"Attribution","title":"Contributor Covenant Code of Conduct","text":"Code Conduct adapted Contributor Covenant, version 2.1, available https://www.contributor-covenant.org/version/2/1/code_of_conduct.html. Community Impact Guidelines inspired [Mozilla’s code conduct enforcement ladder][https://github.com/mozilla/inclusion]. answers common questions code conduct, see FAQ https://www.contributor-covenant.org/faq. Translations available https://www.contributor-covenant.org/translations.","code":""},{"path":"/CONTRIBUTING.html","id":"how-to-contribute","dir":"","previous_headings":"","what":"How to contribute","title":"NA","text":"Government employees, public members private sector encouraged contribute repository forking submitting pull request. (new GitHub, might start basic tutorial check detailed guide pull requests.) Pull requests evaluated repository guardians schedule deemed beneficial committed master. contributors retain original copyright stuff, contributing project, grant world-wide, royalty-free, perpetual, irrevocable, non-exclusive, transferable license users terms license project distributed. track copyright, please use following: New code file: top file, please ensure copyright attributed collaborator assign Apache 2.0 license Major addition code file: “Copyright Province British Columbia” Apache 2.0 remains header either second collaborator added changes throughout code copyright listed specific lines code. read: Copyright Province British Columbia Copyright Collaborator Apache 2.0 License Copyright Province British Columbia Lines 200-500 Copyright Collaborator Apache 2.0 License Minor changes: small changes code throughout file may easiest keep files Copyright Province British Columbia. However, contribution tracked GitHub.","code":""},{"path":"/SUPPORT.html","id":null,"dir":"","previous_headings":"","what":"Getting help with ssdtools","title":"Getting help with ssdtools","text":"Thanks using ssdtools! filing issue, places explore pieces put together make process smooth possible.","code":""},{"path":"/SUPPORT.html","id":"make-sure-its-new","dir":"","previous_headings":"","what":"Make sure its new","title":"Getting help with ssdtools","text":"opening new issue, sure search issues pull requests make sure bug hasn’t reported /already fixed development version. default, search pre-populated :issue :open. can edit qualifiers (e.g. :pr, :closed) needed. example, ’d simply remove :open search issues repo, open closed.","code":""},{"path":"/SUPPORT.html","id":"make-a-reprex","dir":"","previous_headings":"","what":"Make a reprex","title":"Getting help with ssdtools","text":"Start making minimal reproducible example using reprex package. haven’t heard used reprex , ’re treat! Seriously, reprex make R-question-asking endeavors easier (pretty insane ROI five ten minutes ’ll take learn ’s ). additional reprex pointers, check Get help! section tidyverse site.","code":""},{"path":"/articles/additional-technical-details.html","id":"small-sample-bias","dir":"Articles","previous_headings":"","what":"Small sample bias","title":"Additional technical details","text":"ssdtools package uses method Maximum Likelihood (ML) estimate parameters distribution fit data. Statistical theory says maximum likelihood estimators asymptotically unbiased, guarantee performance small samples. detailed account issue small sample bias estimates can found following pdf.","code":""},{"path":[]},{"path":"/articles/additional-technical-details.html","id":"burr-iii-distribution","dir":"Articles","previous_headings":"The inverse Pareto and inverse Weibull as limiting distributions of the Burr Type-III distribution","what":"Burr III distribution","title":"Additional technical details","text":"probability density function, \\({f_X}(x;b,c,k)\\) cumulative distribution function, \\({F_X}(x;b,c,k)\\) Burr III distribution (also known Dagum distribution) used ssdtools :","code":""},{"path":"/articles/additional-technical-details.html","id":"inverse-pareto-distribution","dir":"Articles","previous_headings":"The inverse Pareto and inverse Weibull as limiting distributions of the Burr Type-III distribution","what":"Inverse Pareto distribution","title":"Additional technical details","text":"Let \\(X \\sim Burr(b,c,k)\\) pdf given box . well known distribution \\(Y = \\frac{1}{X}\\) inverse Burr distribution (also known SinghMaddala distribution) :\\[\\begin{array}{*{20}{c}} {{f_Y}(y;b,c,k) = \\frac{{c{\\kern 1pt} {\\kern 1pt} k{{\\left( {\\frac{y}{b}} \\right)}^c}}}{{y{\\kern 1pt} {{\\left[ {1 + {{\\left( {\\frac{y}{b}} \\right)}^c}} \\right]}^{k + 1}}}}}&{b,c,k,y > 0} \\end{array}\\] \\[\\begin{array}{*{20}{c}} {{F_Y}(y;b,c,k) = 1 - \\frac{1}{{{{\\left[ {1 + {{\\left( {\\frac{y}{b}} \\right)}^c}} \\right]}^k}}}}&{b,c,k,y > 0} \\end{array}\\] now consider limiting distribution \\(c \\\\infty\\) \\(k \\0\\) way product \\(ck\\) remains constant, .e. \\(ck = \\lambda\\). Now, \\[\\begin{array}{l} \\mathop {\\mathop {\\lim }\\limits_{(c,k) \\(\\infty ,0)} }\\limits_{ck = \\lambda } \\left\\{ {{F_Y}(y;b,c,k)} \\right\\} = 1 - \\mathop {\\mathop {\\lim }\\limits_{(c,k) \\(\\infty ,0)} }\\limits_{ck = \\lambda } \\frac{1}{{{{\\left[ {1 + {{\\left( {\\frac{y}{b}} \\right)}^c}} \\right]}^k}}}\\\\ \\\\ \\\\ \\\\ \\mathop {\\mathop {\\lim }\\limits_{(c,k) \\(\\infty ,0)} }\\limits_{ck = \\lambda } {\\left[ {1 + {{\\left( {\\frac{y}{b}} \\right)}^c}} \\right]^k} = \\mathop {\\mathop {\\lim }\\limits_{(c,k) \\(\\infty ,0)} }\\limits_{ck = \\lambda } \\left\\{ {{{\\left( {\\frac{y}{b}} \\right)}^{ck}}{{\\left[ {1 + {{\\left( {\\frac{b}{y}} \\right)}^c}} \\right]}^k}} \\right\\}\\\\ \\\\ \\\\ \\\\ \\mathop {\\mathop {\\lim }\\limits_{(c,k) \\(\\infty ,0)} }\\limits_{ck = \\lambda } \\left\\{ {{{\\left( {\\frac{y}{b}} \\right)}^{ck}}{{\\left[ {1 + {{\\left( {\\frac{b}{y}} \\right)}^c}} \\right]}^k}} \\right\\} = \\mathop {\\mathop {\\lim }\\limits_{(c,k) \\(\\infty ,0)} }\\limits_{ck = \\lambda } \\left\\{ {{{\\left( {\\frac{y}{b}} \\right)}^{ck}}} \\right\\}\\mathop {\\mathop {\\lim }\\limits_{(c,k) \\(\\infty ,0)} }\\limits_{ck = \\lambda } \\left\\{ {{{\\left[ {1 + {{\\left( {\\frac{b}{y}} \\right)}^c}} \\right]}^k}} \\right\\}\\\\ = \\mathop {\\mathop {\\lim }\\limits_{(c,k) \\(\\infty ,0)} }\\limits_{ck = \\lambda } \\left\\{ {{{\\left( {\\frac{y}{b}} \\right)}^{ck}}} \\right\\}\\; \\cdot \\,1\\\\ = {\\left( {\\frac{y}{b}} \\right)^\\lambda } \\end{array}\\] Therefore, \\[\\begin{array}{*{20}{c}} {\\mathop {\\mathop {\\lim }\\limits_{(c,k) \\(\\infty ,0)} }\\limits_{ck = \\lambda } \\left\\{ {{F_Y}(y;b,c,k)} \\right\\} = 1 - {{\\left( {\\frac{b}{y}} \\right)}^\\lambda }}&{y \\ge b} \\end{array}\\] recognise (American) Pareto distribution. , limiting distribution \\(Y = \\frac{1}{X}\\) Pareto distribution, limiting distribution \\(X = \\frac{1}{Y}\\) (American) inverse Pareto distribution: \\[\\begin{array}{l} {f_X}\\left( {x;\\alpha ,\\beta } \\right) = \\lambda {b^\\lambda }{x^{\\lambda  - 1}};{\\rm{  }}0 \\le x \\le {\\textstyle{1 \\b}};{\\rm{  }}\\lambda {\\rm{,}}b > 0\\\\ {F_X}\\left( {x;\\alpha ,\\beta } \\right) = {\\left( {xb} \\right)^\\lambda };{\\rm{  }}0 \\le x \\le {\\textstyle{1 \\b}};{\\rm{  }}\\lambda {\\rm{,}}b > 0 \\end{array}\\] completeness, MLEs distribution closed-form expressions given : \\[\\begin{array}{l} \\hat \\lambda  = {\\left[ {\\ln \\left( {\\frac{{{g_X}}}{{\\hat b}}} \\right)} \\right]^{ - 1}}\\\\ \\hat b = \\frac{1}{{\\max \\left\\{ {{X_i}} \\right\\}}}{\\rm{ }} \\end{array}\\] \\({\\rm{ }}{g_X}\\)geometric mean data.","code":""},{"path":"/articles/additional-technical-details.html","id":"inverse-weibull-distribution","dir":"Articles","previous_headings":"The inverse Pareto and inverse Weibull as limiting distributions of the Burr Type-III distribution","what":"Inverse Weibull distribution","title":"Additional technical details","text":"Let \\(X \\sim Burr(b,c,k)\\) pdf given box . make transformation \\[Y = \\frac{{b{\\kern 1pt} {k^{\\tfrac{1}{c}}}{\\kern 1pt} \\theta }}{X}\\] \\(\\theta\\) parameter (constant). distribution \\(Y\\) also Burr distribution cdf \\[{G_Y}\\left( y \\right) = 1 - \\frac{1}{{{{\\left[ {1 + {{\\left( {\\frac{y}{{{k^{\\tfrac{1}{c}}}{\\kern 1pt} \\theta }}} \\right)}^c}} \\right]}^k}}}\\].interested limiting behaviour Burr distribution \\(k \\\\infty\\). Now,\\[\\mathop {\\lim }\\limits_{k \\\\infty } {G_Y}\\left( y \\right) = 1 - \\mathop {\\lim }\\limits_{k \\\\infty } {\\left[ {1 + {{\\left( {\\frac{y}{{{k^{\\tfrac{1}{c}}}{\\kern 1pt} \\theta }}} \\right)}^c}} \\right]^{ - k}}\\] \\[{ = 1 - \\mathop {\\lim }\\limits_{k \\\\infty } {{\\left[ {1 + \\frac{{{{\\left( {\\frac{y}{\\theta }} \\right)}^c}}}{{k{\\kern 1pt} }}} \\right]}^{ - k}}}\\] \\[\\begin{matrix}    =1-\\exp \\left[ -{{\\left( \\frac{y}{\\theta } \\right)}^{c}} \\right]  \\\\    \\left\\{ \\text{using fact }\\underset{n\\\\infty }{\\mathop{\\lim }}\\,{{\\left( 1+{}^{z}\\!\\!\\diagup\\!\\!{}_{n}\\; \\right)}^{-n}}={{e}^{-z}} \\right\\}  \\\\ \\end{matrix}\\] recognise last expression cdf Weibull distribution parameters \\(c\\) \\(\\theta\\).","code":""},{"path":"/articles/additional-technical-details.html","id":"licensing","dir":"Articles","previous_headings":"","what":"Licensing","title":"Additional technical details","text":"Copyright 2018-2024 Province British Columbia Copyright 2021 Environment Climate Change Canada Copyright 2023-2024 Australian Government Department Climate Change, Energy, Environment Water documentation released CC 4.0 License code released Apache License 2.0","code":""},{"path":"/articles/confidence-intervals.html","id":"bootstrap-confidence-intervals","dir":"Articles","previous_headings":"","what":"Bootstrap confidence intervals","title":"Confidence Intervals for Hazard Concentrations","text":"Bootstrapping resampling technique used obtain estimates summary statistics. team explored use alternative methods obtaining confidence interval HCx estimates. included using closed-form expression variance-covariance matrix parameters Burr III distribution, coupled delta-method, well alternative bootstrap method inverse Pareto distribution based statistical properties parameters (Fox et al. 2021). cases, appeared methods can give results similar traditional bootstrapping approaches much less time, therefore potentially worth investigation. However, implementation methods across distributions now available ssdtools substantial undertaking. revised version ssdtools retains computationally intensive bootstrapping method obtain confidence intervals estimate standard errors. recommend minimum bootstrap sample 1,000 (current default - see argument nboot ?ssd_hc()). However, reliable results can obtained using samples 5,000 10,000. recommend larger bootstrap samples final reporting.","code":""},{"path":"/articles/confidence-intervals.html","id":"parametric-versus-non-parametric-bootstrapping","dir":"Articles","previous_headings":"","what":"Parametric versus non-parametric bootstrapping","title":"Confidence Intervals for Hazard Concentrations","text":"Burrlioz 2.0 uses non-parametric bootstrap method obtain confidence intervals HCx estimate. Non-parametric bootstrapping carried repeatedly resampling raw data replacement, refitting distribution many times. 95% confidence limits obtained calculating lower 0.025th upper 0.975th quantiles resulting HCx estimates across bootstrap samples (typically >1000). type bootstrap takes account uncertainty distribution fit based uncertainty data. ssdtools package default uses parametric bootstrap. Instead resampling data, parametric bootstrapping draws random set new data (sample size original) fitted distribution repeatedly refit distribution. Upper lower 95% bounds calculated lower 0.025th upper 0.975th quantiles resulting HCx estimates across bootstrap samples (, typically >1000). capture possible uncertainty may occur sample size given distribution, assumes uncertainty original fit, accounting uncertainty input data. new TMB version ssdtools capacity bootstrapping either using Burrlioz non-parametric method, original parametric method ssdtools (based fitdistrplus (Delignette-Muller Dutang 2015)). Using simulation studies ssdtools team examined bias compared resulting coverage parametric non-parametric bootstrapping methods (Fox et al. 2021). found coverage better using parametric bootstrapping method, retained default bootstrapping method update ssdtools.","code":""},{"path":"/articles/confidence-intervals.html","id":"bootstrapping-model-averaged-ssds","dir":"Articles","previous_headings":"","what":"Bootstrapping model-averaged SSDs","title":"Confidence Intervals for Hazard Concentrations","text":"Bootstrapping obtain confidence intervals individual fitted distributions relatively straightforward. However, obtaining bootstrap confidence intervals model-averaged SSDs requires careful consideration, procedure subject pitfalls evident obtaining model-averaged HCx estimates. Model Average SSDs vignette contains detailed explanation fallacy using summed weighting individual HCx values (weighted arithmetic average), can lead spurious results. Model-averaged estimates /confidence intervals (including standard error) can calculated treating distributions constituting single mixture distribution versus ‘taking mean’. calculating model-averaged estimates treating distributions constituting single mixture distribution ensures ssd_hc() inverse ssd_hp(), applies model-averaged confidence intervals. revised version ssdtools supports four methods obtaining bootstrap confidence intervals, discussed detail .","code":""},{"path":"/articles/confidence-intervals.html","id":"weighted-arithmetic-mean","dir":"Articles","previous_headings":"Bootstrapping model-averaged SSDs","what":"Weighted arithmetic mean","title":"Confidence Intervals for Hazard Concentrations","text":"early versions ssdtools provided model-averaged confidence intervals (cis) standard errors (se) calculated weighted arithmetic means upper lower cis se values obtained via bootstrap simulation individual candidate distributions independently. method incorrect may lead spurious results (described ) shown via simulations studies result confidence intervals low coverage. current version ssdtools retains functionality reproduce original behavior ssdtools. Use method obtaining ci se values recommended retained legacy comparison purposes. technically incorrect, computationally inefficient.","code":"fit <- ssd_fit_dists(data = ssddata::ccme_silver) set.seed(99)  ssd_hc(fit, ci = TRUE, multi_est = FALSE, ci_method = \"weighted_arithmetic\") #> # A tibble: 1 × 11 #>   dist    proportion   est    se    lcl   ucl    wt method   nboot pboot samples #>   <chr>        <dbl> <dbl> <dbl>  <dbl> <dbl> <dbl> <chr>    <dbl> <dbl> <I<lis> #> 1 average       0.05 0.192 0.216 0.0679 0.861     1 paramet…  1000 0.998 <dbl>"},{"path":"/articles/confidence-intervals.html","id":"weighted-mixture-distribution","dir":"Articles","previous_headings":"Bootstrapping model-averaged SSDs","what":"Weighted mixture distribution","title":"Confidence Intervals for Hazard Concentrations","text":"theoretically correct way obtaining ci se values consider model average set mixture distribution (see , Model Average SSDs vignette). consider model set mixture distribution, bootstrapping achieved resampling model set according AICc based model weights. method sampling mixture distributions implemented ssdtools, via function ssd_rmulti(), generate random samples mixture combination distributions currently implemented ssdtools. bootstrapping mixture distribution, question arises whether model weights re-estimated every bootstrap sample, fixed values estimated models fitted original sample toxicity data? interesting question may warrant investigation, however current view fixed nominal values way component distributions used bootstrapping informed fit sample toxicity data. Using simulation studies explored coverage bias ci values obtained without without fixing distribution weights, results indicate little difference. following code can used obtain confidence intervals HCx estimates via bootstrapping weighted mixture distribution (using ssd_rmulti()), without fixed weight values respectively. Use method (without without fixed weights) theoretically correct, computationally inefficient.","code":"# Using the multi boostrapping method with fixed weights ssd_hc(fit, ci = TRUE, ci_method = \"multi_fixed\") #> # A tibble: 1 × 11 #>   dist    proportion   est    se    lcl   ucl    wt method   nboot pboot samples #>   <chr>        <dbl> <dbl> <dbl>  <dbl> <dbl> <dbl> <chr>    <dbl> <dbl> <I<lis> #> 1 average       0.05 0.190 0.207 0.0194 0.824     1 paramet…  1000     1 <dbl> # Using the multi boostrapping method without fixed weights ssd_hc(fit, ci = TRUE, ci_method = \"multi_free\") #> # A tibble: 1 × 11 #>   dist    proportion   est    se    lcl   ucl    wt method   nboot pboot samples #>   <chr>        <dbl> <dbl> <dbl>  <dbl> <dbl> <dbl> <chr>    <dbl> <dbl> <I<lis> #> 1 average       0.05 0.190 0.211 0.0223 0.838     1 paramet…  1000     1 <dbl>"},{"path":"/articles/confidence-intervals.html","id":"weighted-bootstrap-sample","dir":"Articles","previous_headings":"Bootstrapping model-averaged SSDs","what":"Weighted bootstrap sample","title":"Confidence Intervals for Hazard Concentrations","text":"developers ssdtools investigated third method obtaining confidence intervals model-averaged SSD. method bootstraps distributions individually, taking weighted sample , combining pooled bootstrap sample estimation te ci se values. Pseudo code method follows: distribution fitdists object, proportional number bootstrap samples draw (nboot_vals) found using round(nboot * weight), nboot total number bootstrap samples weight AICc based model weights distribution based original ssd_fitdist fit. nboot_vals distribution, random sample size N drawn (total number original data points included original SSD fit) based estimated parameters original data distribution. random sample re-fitting using distribution. HCx estimated re-fitted bootstrap fit. HCx estimates nboot_vals distribution pooled across distributions, quantile() used determine lower upper confidence bounds pooled weighted bootstrap sample HCx values. method draw random samples mixture distribution using ssd_rmulti. mathematically method shares properties obtaining HCx estimates via summing weighted values (weighted arithmetic mean), simulation studies shown , method obtaining confidence intervals, pooled weighted sample method yields similar ci values coverage ssd_rmulti() method, computationally much faster. method currently default method ssdtools, can implemented simply calling ssd_hc().","code":"# Using a weighted pooled bootstrap sample ssd_hc(fit, ci = TRUE) #> # A tibble: 1 × 11 #>   dist    proportion   est    se    lcl   ucl    wt method   nboot pboot samples #>   <chr>        <dbl> <dbl> <dbl>  <dbl> <dbl> <dbl> <chr>    <dbl> <dbl> <I<lis> #> 1 average       0.05 0.190 0.214 0.0181 0.816     1 paramet…  1000 0.999 <dbl>"},{"path":"/articles/confidence-intervals.html","id":"comparing-bootrapping-methods","dir":"Articles","previous_headings":"","what":"Comparing bootrapping methods","title":"Confidence Intervals for Hazard Concentrations","text":"undertaken extensive simulation studies comparing implemented methods, results reported elsewhere. illustrative purposes, compare upper lower confidence intervals using single example data set, Silver data set Canadian Council Ministers Environment (ccme). Using default settings ssdtools, compared upper lower confidence intervals four bootstrapping methods described . Estimate upper confidence limits relatively similar among four methods. However, lower confidence interval obtained using weighted arithmetic mean (method implemented earlier versions ssdtools) much higher three methods, potentially accounting relatively poor coverage method simulation studies.  Given similarity upper lower confidence intervals weighted bootstrap sample method compared potentially theoretically correct, computationally intensive weighted mixture method (via ssd_rmulti()), also compared time taken undertake bootstrapping across methods. Using default 1,000 bootstrap samples, elapsed time undertake bootstrapping mixture method 29.07 seconds, compared 2.66 seconds weighted bootstrap sample. means weighted bootstrap method ~ 11 times faster, representing considerable computational saving across many SSDs. reason, method currently set default method confidence interval estimation ssdtools.","code":"library(ggplot2) library(ggpubr) p1 <- ggplot(compare_dat, aes(method, ucl, fill = method)) +     geom_bar(stat=\"identity\", position=position_dodge()) +   theme_classic() +   theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1)) p2 <- ggplot(compare_dat, aes(method, lcl, fill = method)) +     geom_bar(stat=\"identity\", position=position_dodge()) +   theme_classic() +   theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1))  ggarrange(p1, p2,common.legend = TRUE) p3 <- ggplot(compare_dat, aes(method, time, fill = method)) +     geom_bar(stat=\"identity\", position=position_dodge()) +     ylab(\"Elapsed time (seconds)\") +     theme_classic() +     theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1)) p3"},{"path":[]},{"path":"/articles/confidence-intervals.html","id":"licensing","dir":"Articles","previous_headings":"","what":"Licensing","title":"Confidence Intervals for Hazard Concentrations","text":"Copyright 2018-2024 Province British Columbia Copyright 2021 Environment Climate Change Canada Copyright 2023-2024 Australian Government Department Climate Change, Energy, Environment Water documentation released CC 4.0 License code released Apache License 2.0","code":""},{"path":"/articles/customising-plots.html","id":"plotting-the-cumulative-distribution","dir":"Articles","previous_headings":"","what":"Plotting the cumulative distribution","title":"Customising Plots","text":"ssdtools package produces plot cumulative distribution functions multiple input distributions use ssd_plot_cdf() function. example, consider boron data. can fit, plot cdf using:  graphic ggplot object can saved embellished usual way.","code":"library(ggplot2) library(ssdtools)  fits <- ssd_fit_dists(ssddata::ccme_boron) gp <- ssd_plot_cdf(fits)  print(gp)"},{"path":[]},{"path":"/articles/customising-plots.html","id":"plot-the-model-averaged-fit-with-individual-fits","dir":"Articles","previous_headings":"Customising the cumulative distribution plot","what":"Plot the model-averaged fit with individual fits","title":"Customising Plots","text":"can add model-averaged cdf first obtaining predicted values, extending default ssdtools ggplot usual way using geom_line:","code":"library(ssddata) library(ssdtools) library(ggplot2)  dist <- ssdtools::ssd_fit_dists(ssddata::ccme_boron) pred <- predict(dist, ci = FALSE) boron_hc5 <- ssd_hc(dist) ssdtools::ssd_plot_cdf(dist) +   geom_line(data = pred, aes(x = est, y = proportion, colour = \"Model average\", lty = \"Model average\"), lwd = 0.75) +   scale_linetype_manual(name = \"Distribution\", breaks = c(\"Model average\", names(dist)), values = 1:7) +   scale_color_manual(name = \"Distribution\", breaks = c(\"Model average\", names(dist)), values = 1:7) +   theme_bw()"},{"path":"/articles/customising-plots.html","id":"other-customisations","dir":"Articles","previous_headings":"Customising the cumulative distribution plot","what":"Other customisations","title":"Customising Plots","text":"ssdtools package provides four ggplot geoms allow construct plots. first geom_ssdpoint() plots species sensitivity data  second geom_ssdsegments() plots range censored species sensitivity data  third geom_xribbon() plots species sensitivity confidence intervals  fourth geom_hcintersect() plots hazard concentrations  can combined together follows  log x-axis add following code.  recent plot can saved file using ggsave(), also allows user set resolution.","code":"ggplot(ccme_boron) +   geom_ssdpoint(aes(x = Conc)) +   ylab(\"Probability density\") +   xlab(\"Concenration\") ggplot(ccme_boron) +   geom_ssdsegment(aes(x = Conc, xend = Conc * 2)) +   ylab(\"Probability density\") +   xlab(\"Concenration\") ggplot(boron_pred) +   geom_xribbon(aes(xmin = lcl, xmax = ucl, y = proportion)) +   ylab(\"Probability density\") +   xlab(\"Concenration\") ggplot() +   geom_hcintersect(xintercept = c(1, 2, 3), yintercept = c(0.05, 0.1, 0.2)) +   ylab(\"Probability density\") +   xlab(\"Concenration\") gp <- ggplot(boron_pred, aes(x = est)) +   geom_xribbon(aes(xmin = lcl, xmax = ucl, y = proportion), alpha = 0.2) +   geom_line(aes(y = proportion)) +   geom_ssdsegment(data = ccme_boron, aes(x = Conc / 2, xend = Conc * 2)) +   geom_ssdpoint(data = ccme_boron, aes(x = Conc / 2)) +   geom_ssdpoint(data = ccme_boron, aes(x = Conc * 2)) +   scale_y_continuous(\"Species Affected (%)\", labels = scales::percent) +   expand_limits(y = c(0, 1)) +   xlab(\"Concentration (mg/L)\") print(gp + geom_hcintersect(xintercept = boron_hc5$est, yintercept = 5 / 100)) gp <- gp + coord_trans(x = \"log10\") +   scale_x_continuous(     breaks = scales::trans_breaks(\"log10\", function(x) 10^x),     labels = comma_signif   ) print(gp + geom_hcintersect(xintercept = boron_hc5$est, yintercept = 0.05)) ggsave(\"file_name.png\", dpi = 600)"},{"path":"/articles/customising-plots.html","id":"fitting-and-plotting-distributions-to-multiple-groups-such-taxa-andor-chemicals","dir":"Articles","previous_headings":"","what":"Fitting and plotting distributions to multiple groups such taxa and/or chemicals","title":"Customising Plots","text":"elegant approach using tidyverse packages demonstrated . resultant data predictions can plotted follows.","code":"library(ssddata) library(ssdtools) library(ggplot2) library(dplyr) library(tidyr) library(purrr)  boron_preds <- nest(ccme_boron, data = c(Chemical, Species, Conc, Units)) %>%   mutate(     Fit = map(data, ssd_fit_dists, dists = \"lnorm\"),     Prediction = map(Fit, predict)   ) %>%   unnest(Prediction) library(ssdtools) library(ssddata) ssd_plot(ccme_boron, boron_preds, xlab = \"Concentration (mg/L)\", ci = FALSE) +   facet_wrap(~Group)"},{"path":"/articles/customising-plots.html","id":"embellishing-plots-with-an-exposure-distribution","dir":"Articles","previous_headings":"","what":"Embellishing Plots with an Exposure Distribution","title":"Customising Plots","text":"example, suppose want superimpose environmental concentration cumulative distribution compute exposure risk outlined Verdonck et al. (2003). Finding suitable probability distribution describe exposure concentration beyond scope document – assume done elsewhere. particular, suppose exposure concentration follows log-normal distribution mean -2.3 standard deviation 1 logarithmic scale. exposure distribution, construct data frame concentration values cumulative probability seeing exposure less environment. Notice care needed ssdtools plot logarithmic base 10 scale natural logarithm base \\(e\\) scale. now add plot  ssdtools package contains function ssd_exposure() computes risk defined Verdonck et al (2003) representing average proportion species risk. risk 0.00624 can also added plot usual way:","code":"ex.cdf <- data.frame(Conc = exp(seq(log(.01), log(10), .1))) # generate a grid of concentrations ex.cdf$ex.cdf <- plnorm(ex.cdf$Conc,   meanlog = ex.mean.log,   sdlog = ex.sd.log ) # generate the cdf gp +   geom_line(data = ex.cdf, aes(x = Conc, y = ex.cdf), color = \"red\", linewidth = 2) +   annotate(\"text\",     label = paste(\"Exposure distribution\"),     x = 1.08 * ex.cdf$Conc[which.max(ex.cdf$ex.cdf > 0.5)], y = 0.5, angle = 75   ) set.seed(99) ex.risk <- ssd_exposure(fits, meanlog = ex.mean.log, sdlog = ex.sd.log) ex.risk ## [1] 0.0062416 gp +   geom_line(dat = ex.cdf, aes(x = Conc, y = ex.cdf), color = \"red\", linewidth = 2) +   annotate(\"text\",     label = paste(\"Exposure distribution\"),     x = 1.08 * ex.cdf$Conc[which.max(ex.cdf$ex.cdf > 0.5)], y = 0.5, angle = 75   ) +   annotate(\"text\",     label = paste(\"Verdonck risk :\", round(ex.risk, 5)),     x = Inf, y = 0, hjust = 1.1, vjust = -.5   )"},{"path":[]},{"path":"/articles/customising-plots.html","id":"licensing","dir":"Articles","previous_headings":"","what":"Licensing","title":"Customising Plots","text":"Copyright 2018-2024 Province British Columbia Copyright 2021 Environment Climate Change Canada Copyright 2023-2024 Australian Government Department Climate Change, Energy, Environment Water documentation released CC 4.0 License code released Apache License 2.0","code":""},{"path":"/articles/distributions.html","id":"distributions-for-ssd-modelling","dir":"Articles","previous_headings":"","what":"Distributions for SSD modelling","title":"Distributions in ssdtools","text":"Many authors noted guiding theory ecotoxicology justify particular distributional form SSD domain restricted positive real line (Newman et al. 2000; Zajdlik 2005; Fox 2016). Distributions selected use model averaging SSDs must bounded zero given effect concentrations negative. must also continuous, generally unbounded right. Furthermore, selected distributions within candidate model set provide variety shapes capture diversity shapes empirical species sensitivity distributions. wide range distributions implemented ssdtools, although distributions appear default set. provide detailed account distributions available ssdtools, guidance use.","code":""},{"path":"/articles/distributions.html","id":"original-ssdtools-distributions","dir":"Articles","previous_headings":"Distributions for SSD modelling","what":"Original ssdtools distributions","title":"Distributions in ssdtools","text":"log-normal, log-logistic Gamma distributions widely used SSD modelling, part original distribution set early releases ssdtools developed Thorley Schwarz 2018. adopted default set three distributions early updates ssdtools associated ShinyApp (Dalgarno 2021). three distributions show good convergence properties retained part default model set version 2.0 ssdtools. addition log-normal, log-logistic Gamma distributions, original version ssdtools developed Thorley Schwarz 2018 also included three additional distributions candidate model set, including log-gumbel, Gompertz Weibull distributions. , log-Gumbel (otherwise known inverse Weibull, see ) shows relatively good convergence (see Figure 32, Fox et al. 2021b), also one limiting distributions Burrr Type 3 distribution implemented ssdtools, retained default model set. Gompertz Weibull distributions, however can exhibit unstable behaviour, sometimes showing poor convergence, therefore excluded default set (see Figure 32, Fox et al. 2021b)","code":""},{"path":"/articles/distributions.html","id":"burr-iii-distribution","dir":"Articles","previous_headings":"Distributions for SSD modelling","what":"Burr III distribution","title":"Distributions in ssdtools","text":"history Burrlioz primary distributions used recently summmarized Fox et al. (2021a). “2000, Australia New Zealand (Australian New Zealand Environment Conservation Council/Agriculture Resource Management Council Australia New Zealand 2000) adopted SSD‐based method deriving WQBs, following critical review multiple WQB derivation methods (Warne 1998). distinct feature method use 3‐parameter Burr distribution model empirical SSD, implemented Burrlioz software tool (Campbell et al. 2000). represented generalization methods previously employed Aldenberg Slob (1993) log–logistic distribution shown speciﬁc case Burr family (Tadikamalla 1980). Recent revision derivation method recognized using 3‐parameter Burr distributions small sample sizes (<8 species) created additional uncertainty estimating parameters justiﬁed, essentially overﬁtting data (Batley et al. 2018). Consequently, method, updated software (Burrlioz Ver 2.0), now uses 2‐parameter log–logistic distribution small data sets, whereas Burr type III distribution used data sets 8 species (Batley et al. 2018; Australian New Zealand Guidelines 2018).”         (Fox et al. 2021a) probability density function, \\({f_X}(x;b,c,k)\\) cumulative distribution function, \\({F_X}(x;b,c,k)\\) Burr III distribution :  Burr type III distribution adopted default distribution Burrlioz, well known (e.g., Tadikamalla (1980)) Burr III distribution related several theoretical distributions, exist limiting cases Burr III, .e., one Burr III parameters approaches either zero infinity. Burrlioz software incorporates logic aims identify situations parameter estimates tending towards either large small values. cases, fitting Burr III distribution abandoned one limiting distributions fitted instead. Specifically: c tends infinity Burr III distribution tends inverse (North American) Pareto distribution (see technical details) k tends infinity Burr III distribution tends inverse Weibull (log-Gumbel) distribution (see technical details) practical terms, Burr III distribution fitted k estimated greater 100, estimation procedure carried using inverse Weibull distribution. Similarly, c greater 80 (American) Pareto distribution fitted. necessary ensure numerical stability. Since Burr type III, inverse Pareto inverse Weibull (log Gumbel) distributions used Burrlioz software, implemented ssdtools. However, found stability issues Burr type III, well inverse Pareto distributions, currently precludes inclusion default model set (see Fox et al. (2021b), details).","code":""},{"path":"/articles/distributions.html","id":"bimodal-distributions","dir":"Articles","previous_headings":"Distributions for SSD modelling","what":"Bimodal distributions","title":"Distributions in ssdtools","text":"use statistical mixture-models promoted Fox convenient realistic way modelling bimodal toxicity data (Fisher et al. 2019). Although parameter heavy, statistical mixture models provide better conceptual match inherent underlying data generating process since directly model bimodality mixture 2 underlying univariate distributions represent, example, different modes action (Fox et al. 2021a). postulated mixture-model selected model-averaging context fit afforded mixture demonstrably better fit afforded single distribution. consequence high penalty AICc associated increased number parameters (p Equation 7 (Fox et al. 2021a)) pronounced relatively small sample sizes. TMB version ssdtools now includes option fitting two mixture distributions, individually part model average set. can fitted using ssdtools supplying strings “llogis_llogis” /“lnorm_lnorm” dists argument ssd_fit_dists call. underlying code mixtures three components: likelihood function required TMB; exported R functions allow usual methods distribution called (p, q r); set supporting R functions (see Fox et al. (2021b) Appendix D details). mixtures five parameters - two parameters component distributions mixing parameter (pmix) defines weighting two distributions ‘mixture.’","code":""},{"path":"/articles/distributions.html","id":"sample-lognormal-mixture-distributions","dir":"Articles","previous_headings":"Distributions for SSD modelling > Bimodal distributions","what":"Sample lognormal mixture probability density and cumulative distribution functions","title":"Distributions in ssdtools","text":"can see plot , mixture distributions provide highly flexible means modelling bimodality emprical SSD. happens, example, toxicity data toxicant include animal plant species, different modes action operating. Unfortunately, increased flexibilty comes high penalty model-averaging process. combination small sample sizes high parameter count (typically 5 ) means mixture distributions -weighted - even good job describing data. reason, attempting model bimodal data, suggest looking fit using default set distributions examining fit just one either log-normal mixture log-logistic mixture. Keep mind done sample size pathologically small. guide, Prof. David Fox recommends absolute minimum \\(n \\ge 3k + 1\\) preferably \\(n \\ge 5k + 1\\) \\(k\\) number model parameters.","code":""},{"path":"/articles/distributions.html","id":"default-distributions","dir":"Articles","previous_headings":"","what":"Default Distributions","title":"Distributions in ssdtools","text":"variety distributions available ssdtools, inclusion estimating model-averaged SSD recommended. default, ssdtools uses (corrected) Akaike Information Criterion small sample size (AICc) measure relative quality fit different distributions basis calculating model-averaged weights. However, choice distributions used fit model-averaged SSD can profound effect estimated HCx values. Deciding final default set distributions adopt using model averaging approach non-trivial, acknowledge probably definitive ‘solution’ issue. However, default set underpinned guiding principle parsimony, .e., set large necessary cover wide variety distributional shapes contingencies bigger. , default set result model-averaged estimates HCx values : 1) minimise bias; 2) actual coverages confidence intervals close nominal level confidence; 3) estimated HCx confidence intervals HCx robust small changes data; 4) represent positively continuous distribution right left tails. ssdtools development team undertaken extensive simulation studies, well detailed technical examinations various candidate distributions examine issues bias, coverage numerical stability. detailed account findings can found report (Fox et al. 2021b) repeated detail , although issues associated individual distributions outlined .","code":""},{"path":"/articles/distributions.html","id":"currently-recommended-default-distributions","dir":"Articles","previous_headings":"Default Distributions","what":"Currently recommended default distributions","title":"Distributions in ssdtools","text":"default list candidate distributions ssdtools comprised following: log-normal; log-logistic; gamma; inverse Weibull (log-Gumbel); Weibull; mixture two log-normal distributions default distributions plotted mean 2 standard deviation 2 (natural) log concentration scale around 7.4 concentration scale.","code":""},{"path":"/articles/distributions.html","id":"distributions-currently-implemented-in-ssdtools","dir":"Articles","previous_headings":"","what":"Distributions currently implemented in ssdtools","title":"Distributions in ssdtools","text":"Developed Joe Thorley, Rebecca Fisher, David Fox, Carl Schwarz, Province British Columbia, Environment Climate Change Canada, Australian Government Department Climate Change, Energy, Environment Water. Site built pkgdown 2.0.9.","code":""},{"path":"/articles/distributions.html","id":"burr-type-iii-distribution","dir":"Articles","previous_headings":"Distributions currently implemented in ssdtools","what":"Burr Type III distribution","title":"Distributions in ssdtools","text":"Burr Type 3 flexible three parameter distribution can fitted using ssdtools supplying string burrIII3 dists argument ssd_fit_dists call. Burr family distributions central derivation guideline values Australia New Zealand 20 yr (Fox et al. 2021a). offering high degree ﬂexibility, experience distributions time repeatedly highlighted numerical stability convergence issues parameters estimated using maximum likelihood (Fox et al. 2021a). thought due high degree collinearity parameter estimates /relatively ﬂat likelihood proﬁles (Fox et al. 2021a), one motivations behind logic coded Burrlioz revert either two limiting distributions. Burr Type 3 distribution currently one recommended distributionsin default model set. 1) convergence issues associated Burr Type 3 distribution, 2) fact reverting limiting two parameter distribution fit easily within model averaging framework, 3) one two limiting distributions (inverse Pareto, see ) also estimation convergence issues.","code":""},{"path":"/articles/distributions.html","id":"log-normal","dir":"Articles","previous_headings":"Distributions currently implemented in ssdtools","what":"Log-normal","title":"Distributions in ssdtools","text":"log-normal distribution commonly used distribution natural sciences - particularly probability model describe right (positive)-skewed pehnomena concentration data. random variable, \\(X\\) lognormally distributed logarithm \\(X\\) normally distributed. pdf \\(X\\) given lognormal distribution selected starting distribution given data effect concentrations. log-normal distribution can fitted using ssdtools supplying string lnorm dists argument ssd_fit_dists call.","code":""},{"path":"/articles/distributions.html","id":"log-logistic-distribution","dir":"Articles","previous_headings":"Distributions currently implemented in ssdtools","what":"Log-logistic distribution","title":"Distributions in ssdtools","text":"Like lognormal distribution, log-logistic similarly defined, : \\(X\\) log-logistic distribution, \\(Y = \\ln (X)\\) logistic distribution. letting \\(\\mu  = \\ln \\left( \\alpha  \\right)\\) \\(s = \\frac{1}{\\beta }\\) : log-logistic distribution often used candidate SSD primarily analytic tractability (Aldenberg Slob 1993). included wider tails log-normal specific case general Burr family distributions Burr (1942). log-logistic distribution can fitted using ssdtools supplying string lnorm dists argument ssd_fit_dists call.","code":""},{"path":"/articles/distributions.html","id":"gamma-distribution","dir":"Articles","previous_headings":"Distributions currently implemented in ssdtools","what":"Gamma distribution","title":"Distributions in ssdtools","text":"two-parameter gamma distribution following pdf cdf. \\(\\Gamma \\left(  \\cdot  \\right)\\) gamma function (R simply gamma(x)) \\(\\gamma \\left(  \\cdot  \\right)\\) (lower) incomplete gamma function \\[\\gamma \\left( {x,} \\right) = \\int\\limits_0^x {{t^{- 1}}} \\,{e^{ - t}}\\,dt\\] (can computed using gammainc function pracma package R). use modeling species sensitivity data, gamma distribution two key features provide additional flexibility relative log-normal distribution: 1) asymmetrical logarithmic scale; 2) wider tails. gamma distribution can fitted using ssdtools supplying string “gamma” dists argument ssd_fit_dists call.","code":""},{"path":"/articles/distributions.html","id":"log-gumbel-inverse-weibull-distribution","dir":"Articles","previous_headings":"Distributions currently implemented in ssdtools","what":"Log-gumbel (inverse Weibull) distribution","title":"Distributions in ssdtools","text":"log-gumbel distribution two-parameter distribution commonly used model extreme values. log-gumbel distribution can fitted using ssdtools supplying string lgumbel dists argument ssd_fit_dists call. two-parameter log-gumbel distribution following pdf cdf:","code":""},{"path":"/articles/distributions.html","id":"gompertz-distribution","dir":"Articles","previous_headings":"Distributions currently implemented in ssdtools","what":"Gompertz distribution","title":"Distributions in ssdtools","text":"Gompertz distribution flexible distribution exhibits positive negative skewness. Gompertz distribution can fitted using ssdtools supplying string gompertz dists argument ssd_fit_dists call. condiser two parameterisations Gompertz distribution.first, given Wikipedia also used ssdtools [Gompertz] following pdf cdf: second parameterisation product \\(b\\eta\\) formulae replaced parameter \\(\\) giving:  Gompertz distribution available ssdtools, however parameter estimation can somewhat unstable (Fox et al. 2021b), reason currently included default set.","code":""},{"path":"/articles/distributions.html","id":"weibull-distribution","dir":"Articles","previous_headings":"Distributions currently implemented in ssdtools","what":"Weibull distribution","title":"Distributions in ssdtools","text":"inclusion Weibull distribution inverse Pareto distribution (see next) ssdtools primarily necessitated need maintain consistency calculations undertaken Burrlioz. mentioned earlier, Weibull inverse Pareto distributions arise limiting distributions Burr parameters \\(c\\) \\(k\\) tend either zero /infinity specific ways. two-parameter Weibull distribution following pdf cdf: Weibull distribution can fitted ssdtools supplying string weibull dists argument ssd_fit_dists call.","code":""},{"path":"/articles/distributions.html","id":"inverse-pareto-distribution","dir":"Articles","previous_headings":"Distributions currently implemented in ssdtools","what":"Inverse Pareto distribution","title":"Distributions in ssdtools","text":"inverse Pareto distribution can fitted using ssdtools supplying string invpareto dists argument ssd_fit_dists call. inverse Pareto distribution implemented Burrlioz 2.0 software, important understand done one limiting Burr distributions (see technical details). inverse Pareto offered stand-alone option Burrlioz 2.0 software. spent considerable time effort exploring properties inverse Pareto distribution, including deriving bias correction equations alternative methods deriving confidence intervals (Fox et al. 2021b). work substantial value improving current Burrlioz 2.0 method, bias corrections adopted deriving HCx estimates inverse Pareto parameters estimated using maximum likelihood. case Burrlioz 2.0 software, decided include inverse Pareto distribution default candidate set ssdtools although offered ass user-selectable distribution use model-fitting process. many statistical distributions, different ‘variants’ exist. ‘variants’ much different distributions simple re-parameterisations. example, many distributions scale parameter, \\(\\beta\\) authors texts use \\(\\beta\\) others use \\(\\frac{1}{\\beta }\\). example re-paramterisation given Gompertz distribution. choice mathematical representation may purely preferential, sometimes done mathematical convenience. example, Parameterisation Gompertz distribution obtained letting \\(= b\\eta\\) Parameterisation II. re-expression involving parameters \\(b\\) \\(\\eta\\) particularly useful trying fit distribution one \\(\\left\\{ {b,\\,\\eta } \\right\\}\\) small large. already noted particular parameterisation (Inverse)Pareto distribution used Burrlioz 2.0 ssdtools matter preference, rather dictated mathematical considerations demonstrated convergence Burr distribution one specific version (Inverse)Pareto distribution. mathematics provides elegant solution otherwise problematic situation, version (Inverse)Pareto distribution particularly use stand-alone distribution fitting SSD (special, limiting case Burr distribution). two versions (Inverse)Pareto distribution known European North American versions. pdfs cdfs given . Importantly, see North American versions distributions bounded Pareto distribution bounded \\(\\beta\\) inverse Pareto distribution bounded \\(\\frac{1}{\\beta }\\).aside, mle \\(\\beta\\) Pareto distribution \\[\\hat \\beta  = \\min \\left\\{ {{X_1}, \\ldots ,{X_n}} \\right\\}\\] mle \\(\\frac{1}{\\beta }\\) inverse Pareto \\[\\begin{array}{*{20}{l}} {\\tilde \\beta  = \\max \\left\\{ {{Y_1}, \\ldots ,{Y_n}} \\right\\}}\\\\ {\\quad  = \\max \\left\\{ {\\frac{1}{{{X_1}}}, \\ldots ,\\frac{1}{{{X_n}}}} \\right\\} = \\frac{1}{{\\min \\left\\{ {{X_1}, \\ldots ,{X_n}} \\right\\}}}}\\\\ {\\quad  = \\frac{1}{{\\hat \\beta }}} \\end{array}\\]. mle \\(\\alpha\\) : \\[\\hat \\alpha  = {\\left[ {\\ln \\left( {\\frac{g}{{\\hat \\beta }}} \\right)} \\right]^{ - 1}}\\] \\(g\\) geometric mean: \\[g = {\\left[ {\\prod\\limits_{= 1}^n {{X_i}} } \\right]^{\\frac{1}{n}}}\\] Thus, doesn’t matter whether ’re fitting Pareto inverse Pareto distribution data - parameter estimates . bounded, North American version (Inverse)Pareto distribution useful stand-alone SSD - inverse Pareto distribution since bounded .  see pdf plots  alternative, European version inverse Pareto distribution realistic candidate. note passing versions Pareto inverse Pareto distrbutions availabale R. example, Rpackage extraDistr North American versions, actuar package European versions.","code":""},{"path":"/articles/distributions.html","id":"inverse-weibull-distribution-see-log-gumbel-above","dir":"Articles","previous_headings":"Distributions currently implemented in ssdtools","what":"Inverse Weibull distribution (see log-Gumbel, above)","title":"Distributions in ssdtools","text":"inverse Weibull mathematically equivalent log-Gumbel distribution described . also limiting distribution Burr Type 3, distribution show instability issues, unbounded right. therefore represents valid SSD distribution included default model set distribution right. inverse Weibull (log-Gumbel) distribution can fitted ssdtools supplying string lgumbel dists argument ssd_fit_dists call.","code":""},{"path":"/articles/distributions.html","id":"relationships-among-distributions-in-ssdtools","dir":"Articles","previous_headings":"","what":"Relationships among distributions in ssdtools","title":"Distributions in ssdtools","text":"diagram , \\(X\\) denotes random variable box beginning arrow expression beside arrow indicates mathematical transformation \\(X\\) resultant transformed data distribution identified box end arrow. Reciprocal transformations (\\(\\frac{1}{X}\\)) bi-directional (\\(\\leftrightarrow\\)). Although negative exponential distribution explicitly included ssdtools, special case gamma distribution \\(c=1\\). included figure related distributions included ssdtools. European versions Pareto inverse Pareto distributions unbounded; North American versions bounded.","code":""},{"path":[]},{"path":"/articles/distributions.html","id":"licensing","dir":"Articles","previous_headings":"","what":"Licensing","title":"Distributions in ssdtools","text":"Copyright 2018-2024 Province British Columbia Copyright 2021 Environment Climate Change Canada Copyright 2023-2024 Australian Government Department Climate Change, Energy, Environment Water documentation released CC 4.0 License code released Apache License 2.0","code":""},{"path":"/articles/faqs.html","id":"how-can-i-plot-the-model-averaged-fit-with-individual-fits","dir":"Articles","previous_headings":"","what":"How can I plot the model averaged fit with individual fits?","title":"Frequently Asked Questions","text":"","code":"library(ssdtools)  dist <- ssd_fit_dists(ssddata::ccme_boron) ssd_plot_cdf(dist, average = NA)"},{"path":"/articles/faqs.html","id":"how-do-i-fit-distributions-to-multiple-groups-such-taxa-andor-chemicals","dir":"Articles","previous_headings":"","what":"How do I fit distributions to multiple groups such taxa and/or chemicals?","title":"Frequently Asked Questions","text":"elegant approach using tidyverse packages demonstrated . resultant data predictions can plotted follows.","code":"library(ssddata) library(ssdtools) library(ggplot2) library(dplyr) library(tidyr) library(purrr)  boron_preds <- nest(ccme_boron, data = c(Chemical, Species, Conc, Units)) %>%   mutate(     Fit = map(data, ssd_fit_dists, dists = \"lnorm\"),     Prediction = map(Fit, predict)   ) %>%   unnest(Prediction) ssd_plot(ccme_boron, boron_preds, xlab = \"Concentration (mg/L)\", ci = FALSE) +   facet_wrap(~Group)"},{"path":"/articles/faqs.html","id":"licensing","dir":"Articles","previous_headings":"","what":"Licensing","title":"Frequently Asked Questions","text":"Copyright 2018-2024 Province British Columbia Copyright 2021 Environment Climate Change Canada Copyright 2023-2024 Australian Government Department Climate Change, Energy, Environment Water documentation released CC 4.0 License code released Apache License 2.0","code":""},{"path":"/articles/model-averaging.html","id":"background","dir":"Articles","previous_headings":"","what":"Background","title":"Model Averaged SSDs","text":"“Many authors noted guiding theory ecotoxicology justify particular distributional form SSD domain restricted positive real line (Newman et al. 2000), (Zajdlik 2005), (Chapman et al. 2007), (Fox 2016). Indeed, (Chapman et al. 2007) described identification suitable probability model one important difficult choices use SSDs. Compounding lack clarity functional form SSD omnipresent, equally vexatious issue small sample size, meaning plausible candidate model unlikely rejected (Fox et al. 2021a). ssdtools R package uses model averaging procedure avoid need -priori select candidate distribution instead uses measure ‘fit’ model compute weights applied initial set candidate distributions. method, applied SSD context described detail (Fox et al. 2021a), potentially provides level flexibility parsimony difficult achieve single SSD distribution”.         (Fox et al. 2021b)","code":""},{"path":"/articles/model-averaging.html","id":"preliminaries","dir":"Articles","previous_headings":"","what":"Preliminaries","title":"Model Averaged SSDs","text":"’re familiar process averaging. Indeed, averages pervasive everyday life - talk average income; mean sea level; average global temperature; average height, weight, age etc. etc. ’s obsession averaging? ’s simple really - ’s statisticians call data reduction just fancy name describe process summarising lot raw data using small number (hopefully) representative summary statistics mean standard deviation. Clearly, ’s lot easier work just single mean individual data values. ’s upside. downside process data reduction decimates original data - lose information process. Nevertheless, benefits tend outweigh information loss. Indeed, much ‘conventional’ statistical theory practice focused mean. Examples include T-tests, ANOVA, regression, clustering. talk ‘average’ usually referring simple, arithmetic mean:\\[\\bar{X}=\\frac{1}{n}\\sum\\limits_{=1}^{n}{{{X}_{}}}\\] although recognize types mean including geometric mean, harmonic mean weighted mean. last particularly pertinent model averaging.","code":""},{"path":"/articles/model-averaging.html","id":"weighted-averages","dir":"Articles","previous_headings":"Preliminaries The pros and cons of averaging","what":"Weighted Averages","title":"Model Averaged SSDs","text":"simple arithmetic mean, individual values receive weighting - contribute \\(\\frac{1}{n}\\) summation. appropriate many cases, ’s useful components contribute varying degrees. example familiar ecotoxicologists time-varying concentration shown figure .  figure see 5 concentrations going left right: \\(\\left\\{ 0.25,0.95,0.25,0.12,0.5 \\right\\}\\). take simple arithmetic mean concentrations get \\(\\bar{X}=0.414\\). ignores different durations 5 concentrations. 170 hours, 63 concentration 0.25, 25 concentration 0.95, 23 concentration 0.25, 23 concentration 0.12, 36 concentration 0.50. weight concentrations time :\\[{{{\\bar{X}}}_{TW}}=\\frac{\\left( 63\\cdot 0.25+25\\cdot 0.95+23\\cdot 0.25+23\\cdot 0.12+36\\cdot 0.50 \\right)}{\\left( 63+25+23+23+36 \\right)}=\\frac{56.01}{170}=0.33\\], formula weighted average :\\[\\bar{X}=\\sum\\limits_{=1}^{n}{{{w}_{}}{{X}_{}}}\\] \\(0\\le {{w}_{}}\\le 1\\) \\(\\sum\\limits_{=1}^{n}{{{w}_{}}=1}\\).Note, simple arithmetic mean just special case weighted mean \\(\\sum\\limits_{=1}^{n}{{{w}_{}}=\\frac{1}{n}}\\) ; \\(\\forall =1,\\ldots ,n\\)","code":""},{"path":"/articles/model-averaging.html","id":"model-averaging","dir":"Articles","previous_headings":"","what":"Model Averaging","title":"Model Averaged SSDs","text":"weighted average acknowledges elements computation equal ‘importance’. example , importance based proportion time concentration particular level. Bayesians well-versed concept - elicitation prior distributions model parameters provides mechanism weighting degree analysis informed existing knowledge versus using purely data-driven approach. Model averaging usually used context estimating model parameters quantities derived fitted model - example EC50 derived C-R model. Let’s motivate discussion using following small dataset toxicity estimates chemical. Now, suppose two possibilities fitting SSD - lognormal distributions. Model 1 LN(-1.067,0.414) distribution Model 2 LN(-0.387,0.617) distribution. plot empirical cdf Models 1 2 shown . Emprirical cdf (black); Model 1(green); Model 2 (blue) see Model 1 fits well lower, left region poorly upper region, reverse true Model 2. using either Model 1 Model 2 going result poor fit overall. However, obvious thing combine models. just try using 50% Model 1 50% Model 2, may sub-optimal. turns best fit obtained using 44% Model 1 56% Model 2. Redrawing plot adding weighted average Models 1 2 shown . Empirical cdf (black); Model 1(green); Model 2 (blue); averaged Model (red) Clearly strategy worked - now excellent fitting SSD.estimation HC20? ’s simple matter work individual HC20 values Models 1&2 using appropriate qlnorm() function R. Thus : averaged distribution? intuitively appealing approach apply weights individual HC20 values applied respective models. 0.44*0.2428209 + 0.56*0.4040243 = 0.33. model-averaged HC20 estimate 0.33. check, can determine fraction affected concentration = 0.33 - course 20%. Let’s take look plot.  Something’s wrong - fraction affected concentration 0.33 30% - required 20%. issue taken next section","code":"#>  [1] 1.73 0.57 0.33 0.28 0.30 0.29 2.15 0.80 0.76 0.54 0.42 0.83 0.21 0.18 0.59 # Model 1 HC20 cat(\"Model 1 HC20 =\",qlnorm(0.2,-1.067,0.414)) #> Model 1 HC20 = 0.2428209  # Model 2 HC20 cat(\"Model 2 HC20 =\",qlnorm(0.2,-0.387,0.617)) #> Model 2 HC20 = 0.4040243"},{"path":"/articles/model-averaging.html","id":"model-averaged-ssds","dir":"Articles","previous_headings":"","what":"Model Averaged SSDs","title":"Model Averaged SSDs","text":"correct expression model-averaged SSD : \\[G\\left( x \\right) = \\sum\\limits_{= 1}^k {{w_i}} {F_i}\\left( x \\right)\\] \\({F_i}\\left(  \\cdot  \\right)\\) ith component SSD (.e. cdf) wi weight assigned \\({F_i}\\left(  \\cdot  \\right)\\). Notice function \\(G\\left( x \\right)\\) proper cumulative distribution function (cdf) means given quantile, x, \\(G\\left( x \\right)\\) returns cumulative probability: \\[P\\left[ {X \\leqslant x} \\right]\\] Now, incorrect approach takes weighted sum component inverse cdf’s, : Now, correct method determining HCx work proper model-averaged cdf \\(G\\left( x \\right)\\). means finding inverse function \\({G^{ - 1}}\\left( p \\right)\\). ’ll address moment. example, consider two complex numbers \\[{\\text{= }}\\frac{{\\left( {5 - } \\right)}}{2}{\\text{       }}b =  - 1.683 - 1.915i\\] can shown \\[\\frac{1}{{+ b}} = \\frac{1}{} + \\frac{1}{b} = 0.126 + 0.372i\\] Back issue hand, since ’re dealing complex numbers, ’s safe say:\\[{G^{ - 1}}\\left( p \\right) \\ne H\\left( p \\right)\\] need visual demonstration, can plot \\(G\\left( x \\right)\\) inverse \\(H\\left( p \\right)\\) functions x (quantile) two-component lognormal distribution .   next discuss use model-averaged SSD obtain correct model-averaged HCx.","code":""},{"path":"/articles/model-averaging.html","id":"computing-a-model-averaged-hcx","dir":"Articles","previous_headings":"","what":"Computing a model-averaged HCx","title":"Model Averaged SSDs","text":"formally, inversion principle states HCx (denoted \\({\\varphi _x}\\)) must satisfy following: \\[df\\left( {{\\varphi _x}} \\right) = x\\quad \\quad \\quad \\quad qf\\left( x \\right) = {\\varphi _x}\\] \\(df\\left(  \\cdot  \\right)\\) model-averaged distribution function (.e. SSD) \\(qf\\left(  \\cdot  \\right)\\) model-averaged quantile function. equality hold, necessary \\(qf\\left( p \\right) = d{f^{ - 1}}\\left( p \\right)\\). ssdtools following check inversion principle holds:  Note: multi_est argument set FALSE test fail.  inversion principle ensures use single distribution function compute HCx fraction affected. Referring figure , HCx obtained MA-SSD (red curve) following → arrows fraction affected obtained following ← arrows.  Finally, ’ll briefly discuss HCx computed R using method implemented ssdtools.","code":"# Obtain a model-averaged HCx using the ssd_hc() function hcp<-ssd_hc(x, p = p) # Check that the inversion principle holds ssd_hp(x, hcp, multi_est = TRUE) == p   # this should result in logical `TRUE`"},{"path":"/articles/model-averaging.html","id":"computing-the-hcx-in-rssdtools","dir":"Articles","previous_headings":"Computing a model-averaged HCx","what":"Computing the HCx in R/ssdtools","title":"Model Averaged SSDs","text":"Obviously, need able ‘codify’ process R (computer language).Mathematically equivalent seeking solution following equation:\\[{x:G\\left( x \\right) = p}\\] , equivalently:\\[x:G\\left( x \\right) - p = 0\\] fraction affected, \\(p\\).  Finding solution last equation referred finding root(s) function \\(G\\left( x \\right)\\) , made clear figure , finding zero-crossing function \\(G\\left( x \\right)\\) case \\(p=0.2\\).  R finding roots \\(x:G\\left( x \\right) - p = 0\\) achieved using uniroot() function. Help uniroot function can found ","code":""},{"path":"/articles/model-averaging.html","id":"where-do-the-model-averaged-weights-come-from","dir":"Articles","previous_headings":"","what":"Where do the model-averaged weights come from?","title":"Model Averaged SSDs","text":"little complex, although ’ll try provide non-mathematical explanation. interested going deeper, comprehensive treatment can found (Burnham Anderson 2002) (Fletcher 2018).  time, ’ll look fitting gamma, lognormal, pareto distribution sample data: adequacy (otherwise) fitted model can assessed using variety numerical measures known goodness--fit GoF statistics. invariably based measure discrepancy emprical data hypothesized model. Common GoF statistics used test whether hypothesis specified theoretical probability distribution plausible given data set include: Kolmogorov-Smirnov test; Anderson-Darling test; Shapiro-Wilk test;Cramer-von Mises test. Cramer-von Mises test good choice readily performed using cvm.test() function goftest package R follows: output using level significance \\(p = 0.05\\), see none distributions implausible. However, forced choose just one distribution, choose Pareto distribution (smaller values omega2max statistic better). However, mean gamma lognormal distributions value describing data. can see plot , fact gamma lognormal distributions reasonable job range toxicity values. use Pareto may questionable choice given truncated 0.18 (minimum value toxicity data). Emprirical cdf (black); lognormal (green); gamma (blue); Pareeto (red) earlier example, might expect find better fitting distribution combining three distributions using weighted SSD. issue face now choose weights reflect relative fits three distributions? Like tests statistical significance, p-value computed value relevant test statistic - case, value omega2max test statistic. particular test, ’s case smaller better. output see omega2max values \\(0.344\\) gamma distribution, \\(0.328\\) lognormal distribution, \\(0.314\\) Pareto distribution. might somewhat naively compute relative weights :\\({w_1} = \\frac{{{{0.344}^{ - 1}}}}{{\\left( {{{0.344}^{ - 1}} + {{0.328}^{ - 1}} + {{0.314}^{ - 1}}} \\right)}} = 0.318\\)         \\({w_2} = \\frac{{{{0.328}^{ - 1}}}}{{\\left( {{{0.344}^{ - 1}} + {{0.328}^{ - 1}} + {{0.314}^{ - 1}}} \\right)}} = 0.333\\)     \\({w_3} = \\frac{{{{0.314}^{ - 1}}}}{{\\left( {{{0.344}^{ - 1}} + {{0.328}^{ - 1}} + {{0.314}^{ - 1}}} \\right)}} = 0.349\\)     (use reciprocals since smaller values omega2max represent better fits). seen shortly - incorrect. However, based simplistic measure discrepancy observed hypothesized distributions, omega2max statistic fairly ‘blunt instrument’ grounding information theory basis determining weights seek. discussion information theoretic methods assessing goodness--fit beyond scope vignette. Interested readers consult (Burnham Anderson 2002). commonly used metric determine model-average weights Akaike Information Criterion AIC. formula \\(AIC\\) : \\[AIC = 2k - 2\\ln \\left( \\ell  \\right)\\]  likelihood three distributions can computed R follows: AIC values readily follow:  omega2max statistic, smaller values AIC better. Thus, comparison AIC values gives ranking distributional fits (best worst) : Pareto > lognormal > gamma","code":"#>  [1] 1.73 0.57 0.33 0.28 0.30 0.29 2.15 0.80 0.76 0.54 0.42 0.83 0.21 0.18 0.59 dat<-data.frame(Conc=c(1.73,0.57,0.33,0.28,0.3,0.29,2.15,0.8,0.76,0.54,0.42,0.83,0.21,0.18,0.59)) library(goftest) library(EnvStats)  # this is required for the Pareto cdf (ppareto)  # Examine the fit for the gamma distribution (NB: parameters estimated from the data) cvm.test(dat$Conc,null = \"pgamma\",shape = 2.0591977,scale = 0.3231032,estimated = TRUE)  # Examine the fit for the lognormal distribution (NB: parameters estimated from the data) cvm.test(dat$Conc,null = \"plnorm\",meanlog=-0.6695120,sd=0.7199573,estimated = TRUE)  # Examine the fit for the Pareto distribution (NB: parameters estimated from the data) cvm.test(dat$Conc,null = \"ppareto\",location = 0.1800000,shape    = 0.9566756,estimated = TRUE) Cramer-von Mises test of goodness-of-fit     Braun's adjustment using 4 groups     Null hypothesis: Gamma distribution     with parameters shape = 2.0591977, scale = 0.3231032     Parameters assumed to have been estimated from data  data:  dat$Conc omega2max = 0.34389, p-value = 0.3404       Cramer-von Mises test of goodness-of-fit     Braun's adjustment using 4 groups     Null hypothesis: log-normal distribution     with parameter meanlog = -0.669512     Parameters assumed to have been estimated from data  data:  dat$Conc omega2max = 0.32845, p-value = 0.3719       Cramer-von Mises test of goodness-of-fit     Braun's adjustment using 4 groups     Null hypothesis: distribution ‘ppareto’     with parameters location = 0.18, shape = 0.9566756     Parameters assumed to have been estimated from data  data:  dat$Conc omega2max = 0.31391, p-value = 0.4015 sum(log(dgamma(dat$Conc,shape = 2.0591977,scale = 0.3231032)))  #> [1] -7.020597 sum(log(dlnorm(dat$Conc, meanlog = -0.6695120,sdlog   =  0.7199573)))  #> [1] -5.812947 sum(log(EnvStats::dpareto(dat$Conc,location = 0.1800000, shape=0.9566756)))  #> [1] -5.621683 #> AIC for gamma distribution = 18.04119 #> AIC for lognormal distribution = 15.62589 #> AIC for Pareto distribution = 15.24337"},{"path":"/articles/model-averaging.html","id":"computing-model-weights-from-the-aic","dir":"Articles","previous_headings":"Where do the model-averaged weights come from?","what":"Computing model weights from the AIC","title":"Model Averaged SSDs","text":"simply provide formula computing model weights AIC values. detailed information can found . AIC ith distribution fitted data \\[AI{C_i} = 2{k_i} - 2\\ln \\left( {{L_i}} \\right)  \\] \\({L_i}\\) ith likelihood \\({k_i}\\) number parameters ith distribution. Next, form differences:\\[{\\Delta _i} = AI{C_i} - AI{C_0}\\] \\(AI{C_0}\\) AIC best-fitting model (.e.\\(AI{C_0} = \\mathop {\\min }\\limits_i \\left\\{ {AI{C_i}} \\right\\}\\) ). model-averaged weights \\({w_i}\\) computed :  model-averaged weights gamma, lognormal, Pareto distributions used previous example can computed ‘manually’ R follows: Finally, let’s look fitted model-averaged SSD: Empirical cdf (black) model-averaged fit (magenta) can seen figure , model-averaged fit provides good fit empirical data.","code":"dat<-c(1.73,0.57,0.33,0.28,0.3,0.29,2.15,0.8,0.76,0.54,0.42,0.83,0.21,0.18,0.59) aic<-NULL k<-2  # number of parameters for each of the distributions   aic[1]<-2*k-2*sum(log(dgamma(dat,shape = 2.0591977,scale = 0.3231032))) # Gamma distribution  aic[2]<-2*k-2*sum(log(dlnorm(dat, meanlog = -0.6695120,sdlog   =  0.7199573)))  # lognormal distribution  aic[3]<-2*k-2*sum(log(EnvStats::dpareto(dat,location = 0.1800000, shape=0.9566756))) # Pareto distribution  delta<-aic-min(aic)  #  compute the delta values  aic.w<-exp(-0.5*delta); aic.w<-round(aic.w/sum(aic.w),4)  cat(\" AIC weight for gamma distribution =\",aic.w[1],\"\\n\",     \"AIC weight for lognormal distribution =\",aic.w[2],\"\\n\",     \"AIC weight for pareto distribution =\",aic.w[3],\"\\n\") AIC weight for gamma distribution = 0.1191   AIC weight for lognormal distribution = 0.3985   AIC weight for pareto distribution = 0.4824"},{"path":"/articles/model-averaging.html","id":"correcting-for-distributions-having-differing-numbers-of-parameters","dir":"Articles","previous_headings":"Where do the model-averaged weights come from?","what":"Correcting for distributions having differing numbers of parameters","title":"Model Averaged SSDs","text":"deriving AIC, Akaike make certain, strong assumptions. addition, bias factor (\\(2k\\) term) derived theoretical considerations (mathematical expectation) relate infinite sample sizes. small sample sizes, AIC likely select models many parameters (.e models -fit) 1978, Sugiura proposed modification AIC address problem, although relied number assumptions. ‘correction’ AIC small samples (referred \\(AI{{C}_{c}}\\)) : clear formula \\(AI{{C}_{c}}\\)   \\(n\\gg k\\),    \\(AI{{C}_{c}}\\simeq AIC\\). issue sample size ubiquitous statistics, even ecotoxicology logistical practical limitations invariably mean dealing (pathologically) small sample sizes. hard fast rules constitutes appropriate sample size SSD modelling. However, Professor David Fox’s personal rule thumb works quite well : Since common SSD models 2-parameter, aiming sample size least 11. 3-parameter models (like Burr III), minimum sample size 16 wanted fit mixture two, 2-parameter models (eg. logNormal-logNormal logLogistic-logLogistic) sample size least 26. Sadly, rarely case practice!","code":""},{"path":"/articles/model-averaging.html","id":"model-averaging-in-ssdtools","dir":"Articles","previous_headings":"Where do the model-averaged weights come from?","what":"Model-Averaging in ssdtools","title":"Model Averaged SSDs","text":"Please see Getting started ssdtools vignette examples obtaining model-averaged HCx values predictions using ssdtools.","code":""},{"path":[]},{"path":"/articles/model-averaging.html","id":"licensing","dir":"Articles","previous_headings":"","what":"Licensing","title":"Model Averaged SSDs","text":"Copyright 2018-2024 Province British Columbia Copyright 2021 Environment Climate Change Canada Copyright 2023-2024 Australian Government Department Climate Change, Energy, Environment Water documentation released CC 4.0 License code released Apache License 2.0","code":""},{"path":"/articles/ssdtools.html","id":"introduction","dir":"Articles","previous_headings":"","what":"Introduction","title":"Getting Started with ssdtools","text":"ssdtools R package fit Species Sensitivity Distributions (SSDs) using Maximum Likelihood model averaging. SSDs cumulative probability distributions used estimate percent species affected /protected given concentration chemical. concentration affects 5% species referred 5% Hazard Concentration (HC5). equivalent 95% protection value (PC95). information SSDs reader referred Posthuma et al. (2001). order use ssdtools need install R (see ) use Shiny app. shiny app includes user guide. vignette user manual R package.","code":""},{"path":"/articles/ssdtools.html","id":"philosophy","dir":"Articles","previous_headings":"","what":"Philosophy","title":"Getting Started with ssdtools","text":"ssdtools provides key functionality required fit SSDs using Maximum Likelihood model averaging R. intended used conjunction tidyverse packages readr input data, tidyr dplyr group manipulate data ggplot2 (Wickham 2016) plot data. endeavors fulfill tidyverse manifesto.","code":""},{"path":"/articles/ssdtools.html","id":"installing","dir":"Articles","previous_headings":"","what":"Installing","title":"Getting Started with ssdtools","text":"order install R (R Core Team 2018) appropriate binary users operating system downloaded CRAN installed. R installed, ssdtools package can installed (together tidyverse) executing following code R console ssdtools package (ggplot2 package) can loaded current session using","code":"install.packages(c(\"ssdtools\", \"tidyverse\")) library(ssdtools) library(ggplot2)"},{"path":"/articles/ssdtools.html","id":"getting-help","dir":"Articles","previous_headings":"","what":"Getting Help","title":"Getting Started with ssdtools","text":"get additional information particular function just type ? followed name function R console. example ?ssd_gof brings R documentation ssdtools goodness fit function. information using R reader referred R Data Science (Wickham Grolemund 2016). discover bug ssdtools please file issue reprex (repeatable example) https://github.com/bcgov/ssdtools/issues.","code":""},{"path":"/articles/ssdtools.html","id":"inputting-data","dir":"Articles","previous_headings":"","what":"Inputting Data","title":"Getting Started with ssdtools","text":"ssdtools package loaded next task input data. easy way save concentration data single chemical column called Conc comma separated file (.csv). row sensitivity concentration separate species. species /group information available can saved Species Group columns. .csv file can read R using following purposes manual use CCME dataset boron.","code":"data <- read_csv(file = \"path/to/file.csv\") ccme_boron <- ssddata::ccme_boron print(ccme_boron) #> # A tibble: 28 × 5 #>    Chemical Species                  Conc Group        Units #>    <chr>    <chr>                   <dbl> <fct>        <chr> #>  1 Boron    Oncorhynchus mykiss       2.1 Fish         mg/L  #>  2 Boron    Ictalurus punctatus       2.4 Fish         mg/L  #>  3 Boron    Micropterus salmoides     4.1 Fish         mg/L  #>  4 Boron    Brachydanio rerio        10   Fish         mg/L  #>  5 Boron    Carassius auratus        15.6 Fish         mg/L  #>  6 Boron    Pimephales promelas      18.3 Fish         mg/L  #>  7 Boron    Daphnia magna             6   Invertebrate mg/L  #>  8 Boron    Opercularia bimarginata  10   Invertebrate mg/L  #>  9 Boron    Ceriodaphnia dubia       13.4 Invertebrate mg/L  #> 10 Boron    Entosiphon sulcatum      15   Invertebrate mg/L  #> # ℹ 18 more rows"},{"path":"/articles/ssdtools.html","id":"fitting-distributions","dir":"Articles","previous_headings":"","what":"Fitting Distributions","title":"Getting Started with ssdtools","text":"function ssd_fit_dists() inputs data frame fits one distributions. user can specify subset following 10 distributions. Please see Distributions Model averaging vignettes information regarding appropriate use distributions use model-averaged SSDs. using dists argument.","code":"ssd_dists_all() #>  [1] \"burrIII3\"      \"gamma\"         \"gompertz\"      \"invpareto\"     #>  [5] \"lgumbel\"       \"llogis\"        \"llogis_llogis\" \"lnorm\"         #>  [9] \"lnorm_lnorm\"   \"weibull\" fits <- ssd_fit_dists(ccme_boron, dists = c(\"llogis\", \"lnorm\", \"gamma\"))"},{"path":"/articles/ssdtools.html","id":"coefficients","dir":"Articles","previous_headings":"","what":"Coefficients","title":"Getting Started with ssdtools","text":"estimates various terms can extracted using tidyverse generic tidy function (base R generic coef function).","code":"tidy(fits) #> # A tibble: 6 × 4 #>   dist   term           est    se #>   <chr>  <chr>        <dbl> <dbl> #> 1 llogis locationlog  2.63  0.248 #> 2 llogis scalelog     0.740 0.114 #> 3 lnorm  meanlog      2.56  0.235 #> 4 lnorm  sdlog        1.24  0.166 #> 5 gamma  scale       25.1   7.64  #> 6 gamma  shape        0.950 0.223"},{"path":"/articles/ssdtools.html","id":"plots","dir":"Articles","previous_headings":"","what":"Plots","title":"Getting Started with ssdtools","text":"generally informative plot fits using autoplot generic function (wrapper ssd_plot_cdf()). autoplot returns ggplot object can modified prior plotting.","code":"theme_set(theme_bw()) # set plot theme  autoplot(fits) +   ggtitle(\"Species Sensitivity Distributions for Boron\") +   scale_colour_ssd()"},{"path":"/articles/ssdtools.html","id":"selecting-one-distribution","dir":"Articles","previous_headings":"","what":"Selecting One Distribution","title":"Getting Started with ssdtools","text":"Given multiple distributions user faced choosing “best” distribution (discussed averaging results weighted fit). ssd_gof() function returns three test statistics can used evaluate fit various distributions data. Anderson-Darling (ad) statistic, Kolmogorov-Smirnov (ks) statistic Cramer-von Mises (cvm) statistic three information criteria Akaike’s Information Criterion (AIC), Akaike’s Information Criterion corrected sample size (AICc) Bayesian Information Criterion (BIC) Note ssd_gof() called pvalue = TRUE p-values rather statistics returned ad, ks cvm tests. Following Burnham Anderson (2002) recommend AICc model selection. best predictive model lowest AICc (indicated model delta value 0.000 goodness fit table). current example best predictive model gamma distribution lnorm distribution support. information advantages information theoretic approach context selecting SSDs reader referred Fox et al. (2021).","code":"ssd_gof(fits) #> # A tibble: 3 × 9 #>   dist      ad     ks    cvm   aic  aicc   bic delta weight #>   <chr>  <dbl>  <dbl>  <dbl> <dbl> <dbl> <dbl> <dbl>  <dbl> #> 1 llogis 0.487 0.0994 0.0595  241.  241.  244.  3.38  0.11  #> 2 lnorm  0.507 0.107  0.0703  239.  240.  242.  1.40  0.296 #> 3 gamma  0.440 0.117  0.0554  238.  238.  240.  0     0.595"},{"path":"/articles/ssdtools.html","id":"averaging-multiple-distributions","dir":"Articles","previous_headings":"","what":"Averaging Multiple Distributions","title":"Getting Started with ssdtools","text":"Often distributions fit data almost well best distribution evidenced delta values < 2 (Burnham Anderson 2002). situation recommended approach estimate average fit based relative weights distributions (Burnham Anderson 2002). AICc based weights indicated weight column goodness fit table. current example, gamma log-normal distributions delta values < 2. detailed introduction model averaging can found Model averaging vignette. discussion recommended set default distributions can found Distributions vignette.","code":""},{"path":"/articles/ssdtools.html","id":"estimating-the-fit","dir":"Articles","previous_headings":"","what":"Estimating the Fit","title":"Getting Started with ssdtools","text":"predict function can used generate model-averaged (average = FALSE individual) estimates parametric bootstrapping. Model averaging based AICc unless data censored case AICc undefined. situation model averaging possible distributions number parameters. Parametric bootstrapping computationally intensive. bootstrap distribution parallel register future back-end select evaluation strategy. resultant object data frame estimated concentration (est) standard error (se) lower (lcl) upper (ucl) 95% confidence limits (CLs) percent species affected (percent). object includes number bootstraps (nboot) data sets generated well proportion data sets successfully fitted (pboot). requirement bootstrap samples converge. data frame estimates can plotted together original data using ssd_plot() function summarize analysis. returned object ggplot object can customized prior plotting.  plot model-averaged 95% confidence interval indicated shaded band model-averaged 5%/95% Hazard/Protection Concentration (HC5/ PC95) dotted line. Hazard/Protection concentrations discussed .","code":"doFuture::registerDoFuture() future::plan(future::multisession)  set.seed(99) boron_pred <- predict(fits, ci = TRUE) boron_pred #> # A tibble: 99 × 11 #>    dist    proportion   est    se    lcl   ucl    wt method  nboot pboot samples #>    <chr>        <dbl> <dbl> <dbl>  <dbl> <dbl> <dbl> <chr>   <dbl> <dbl> <I<lis> #>  1 average       0.01 0.267 0.401 0.0418  1.53     1 parame…  1000 0.999 <dbl>   #>  2 average       0.02 0.531 0.517 0.110   2.03     1 parame…  1000 0.999 <dbl>   #>  3 average       0.03 0.783 0.614 0.198   2.50     1 parame…  1000 0.999 <dbl>   #>  4 average       0.04 1.02  0.700 0.300   2.90     1 parame…  1000 0.999 <dbl>   #>  5 average       0.05 1.26  0.781 0.407   3.29     1 parame…  1000 0.999 <dbl>   #>  6 average       0.06 1.48  0.859 0.520   3.72     1 parame…  1000 0.999 <dbl>   #>  7 average       0.07 1.71  0.933 0.645   4.16     1 parame…  1000 0.999 <dbl>   #>  8 average       0.08 1.93  1.01  0.768   4.58     1 parame…  1000 0.999 <dbl>   #>  9 average       0.09 2.16  1.08  0.896   4.95     1 parame…  1000 0.999 <dbl>   #> 10 average       0.1  2.38  1.15  1.03    5.39     1 parame…  1000 0.999 <dbl>   #> # ℹ 89 more rows ssd_plot(ccme_boron, boron_pred,   color = \"Group\", label = \"Species\",   xlab = \"Concentration (mg/L)\", ribbon = TRUE ) +   expand_limits(x = 5000) + # to ensure the species labels fit   ggtitle(\"Species Sensitivity for Boron\") +   scale_colour_ssd()"},{"path":"/articles/ssdtools.html","id":"hazardprotection-concentrations","dir":"Articles","previous_headings":"","what":"Hazard/Protection Concentrations","title":"Getting Started with ssdtools","text":"5% hazard concentration (HC5) concentration affects 5% species tested. equivalent 95% protection concentration protects 95% species (PC95). hazard protection concentrations directly interchangeable, terminology depends simply user preference. hazard/protection concentrations can obtained using ssd_hc function, can used obtain desired percentage value. fitted SSD can also used determine percentage species protected given concentration using ssd_hp.","code":"set.seed(99) boron_hc5 <- ssd_hc(fits, proportion =  0.05, ci = TRUE) print(boron_hc5) #> # A tibble: 1 × 11 #>   dist    proportion   est    se   lcl   ucl    wt method    nboot pboot samples #>   <chr>        <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <chr>     <dbl> <dbl> <I<lis> #> 1 average       0.05  1.32 0.849 0.370  3.67     1 parametr…  1000     1 <dbl> boron_pc <- ssd_hp(fits, conc = boron_hc5$est, ci = TRUE) print(boron_pc) #> # A tibble: 1 × 11 #>   dist     conc   est    se   lcl   ucl    wt method     nboot pboot samples   #>   <chr>   <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <chr>      <dbl> <dbl> <I<list>> #> 1 average  1.32     5  3.23 0.586  12.8     1 parametric  1000     1 <dbl [0]>"},{"path":"/articles/ssdtools.html","id":"censored-data","dir":"Articles","previous_headings":"Hazard/Protection Concentrations","what":"Censored Data","title":"Getting Started with ssdtools","text":"Censored data lower /upper limit known particular species. right argument ssd_fit_dists() different left argument data considered censored. Let’s make example censored data. less goodness--fit statistics available fits censored data (currently just AIC BIC). delta values calculated using AIC`. sample size n undefined censored data, AICc calculated. However, models number parameters, AIC delta values identical AICc. reason, ssdtools permits analysis censored data using two-parameter models. can call default two parameter models using ssd_dists_bcanz(n = 2). model-averaged predictions (hazard concentrations complete 95% confidence limits) can calculated using AIC results plotted complete arrows indicating censorship.  Note ssdtools doesn’t currently support right censored data:","code":"example_dat <- ssddata::ccme_boron |>    dplyr::mutate(left=Conc, right=Conc)  left_censored_example <- example_dat  left_censored_example$left[c(3,6,8)] <- NA left_censored_dists <- ssd_fit_dists(left_censored_example,                                       dists = ssd_dists_bcanz(n = 2),                                      left = \"left\", right = \"right\") ssd_hc(left_censored_dists, average = FALSE) #> # A tibble: 5 × 11 #>   dist    proportion   est    se   lcl   ucl     wt method   nboot pboot samples #>   <chr>        <dbl> <dbl> <dbl> <dbl> <dbl>  <dbl> <chr>    <int> <dbl> <I<lis> #> 1 gamma         0.05 0.674    NA    NA    NA 0.376  paramet…     0    NA <dbl>   #> 2 lgumbel       0.05 1.51     NA    NA    NA 0.0221 paramet…     0    NA <dbl>   #> 3 llogis        0.05 1.15     NA    NA    NA 0.0590 paramet…     0    NA <dbl>   #> 4 lnorm         0.05 1.32     NA    NA    NA 0.176  paramet…     0    NA <dbl>   #> 5 weibull       0.05 0.752    NA    NA    NA 0.367  paramet…     0    NA <dbl> ssd_hc(left_censored_dists) #> # A tibble: 1 × 11 #>   dist    proportion   est    se   lcl   ucl    wt method    nboot pboot samples #>   <chr>        <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <chr>     <int> <dbl> <I<lis> #> 1 average       0.05 0.859    NA    NA    NA     1 parametr…     0   NaN <dbl> ssd_gof(left_censored_dists) #> # A tibble: 5 × 9 #>   dist       ad    ks   cvm   aic  aicc   bic delta weight #>   <chr>   <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>  <dbl> #> 1 gamma      NA    NA    NA  222.    NA    NA 0      0.376 #> 2 lgumbel    NA    NA    NA  228.    NA    NA 5.67   0.022 #> 3 llogis     NA    NA    NA  226.    NA    NA 3.70   0.059 #> 4 lnorm      NA    NA    NA  224.    NA    NA 1.52   0.176 #> 5 weibull    NA    NA    NA  222.    NA    NA 0.046  0.367 set.seed(99) left_censored_pred <- predict(left_censored_dists, ci = TRUE)  ssd_plot(left_censored_example, left_censored_pred,   left = \"left\", right = \"right\",   xlab = \"Concentration (mg/L)\" ) right_censored_example <- example_dat  right_censored_example$right[c(3,6,8)] <- NA right_censored_dists <- try(ssd_fit_dists(right_censored_example,                                            dists = ssd_dists_bcanz(n = 2),                                           left = \"left\", right = \"right\")) #> Error in eval(expr, envir, enclos) :  #>   Distributions cannot currently be fitted to right censored data."},{"path":[]},{"path":"/articles/ssdtools.html","id":"licensing","dir":"Articles","previous_headings":"","what":"Licensing","title":"Getting Started with ssdtools","text":"Copyright 2018-2024 Province British Columbia Copyright 2021 Environment Climate Change Canada Copyright 2023-2024 Australian Government Department Climate Change, Energy, Environment Water documentation released CC 4.0 License code released Apache License 2.0","code":""},{"path":"/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Joe Thorley. Author, maintainer. Rebecca Fisher. Author. David Fox. Author. Carl Schwarz. Author. Angeline Tillmanns. Contributor. Seb Dalgarno. Contributor. Kathleen McTavish. Contributor. Heather Thompson. Contributor. Doug Spry. Contributor. Rick van Dam. Contributor. Graham Batley. Contributor. Yulia Cuthbertson. Contributor. Tony Bigwood. Contributor. Michael Antenucci. Contributor. Ali Azizishirazi. Contributor. Nadine Hussein. Contributor. Sarah Lyons. Contributor. Stephanie Hazlitt. Contributor. Hadley Wickham. Contributor. Sergio Ibarra Espinosa. Contributor. Andy Teucher. Contributor. Emilie Doussantousse. Contributor. Nan-Hung Hsieh. Contributor. Province British Columbia. Funder, copyright holder. Environment Climate Change Canada. Funder, copyright holder. Australian Government Department Climate Change, Energy, Environment Water. Funder, copyright holder.","code":""},{"path":"/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Thorley J, Fisher R, Fox D, Schwarz C (2024). ssdtools: Species Sensitivity Distributions. R package version 1.0.6.9015, https://bcgov.github.io/ssdtools/, https://github.com/bcgov/ssdtools.","code":"@Manual{,   title = {ssdtools: Species Sensitivity Distributions},   author = {Joe Thorley and Rebecca Fisher and David Fox and Carl Schwarz},   year = {2024},   note = {R package version 1.0.6.9015, https://bcgov.github.io/ssdtools/},   url = {https://github.com/bcgov/ssdtools}, }"},{"path":"/index.html","id":"ssdtools-","dir":"","previous_headings":"","what":"Species Sensitivity Distributions","title":"Species Sensitivity Distributions","text":"ssdtools R package fit plot Species Sensitivity Distributions (SSD). SSDs cumulative probability distributions fitted toxicity concentrations different species described Posthuma et al. (2001). ssdtools package uses Maximum Likelihood fit distributions log-normal, log-logistic, log-Gumbel (also known inverse Weibull), gamma, Weibull log-normal log-normal mixture. Multiple distributions can averaged using Akaike Information Criteria. Confidence intervals hazard concentrations proportions produced bootstrapping.","code":""},{"path":"/index.html","id":"installation","dir":"","previous_headings":"","what":"Installation","title":"Species Sensitivity Distributions","text":"install latest version CRAN install latest development version GitHub","code":"install.packages(\"ssdtools\") # install.packages(\"remotes\") remotes::install_github(\"bcgov/ssdtools\")"},{"path":"/index.html","id":"introduction","dir":"","previous_headings":"","what":"Introduction","title":"Species Sensitivity Distributions","text":"dependency ssddata provides example data sets several chemicals including Boron. six default distributions fit using ssd_fit_dists() can quickly plotted using autoplot  goodness fit can assessed using ssd_gof model-averaged 5% hazard concentration estimated bootstrapping using ssd_hc. bootstrap parallel set future::plan(). example: Model-averaged predictions complete confidence intervals can also estimated parametric bootstrapping using stats generic predict. perform bootstrapping distribution parallel register future backend select evaluation strategy. predictions can plotted together original data using ssd_plot.","code":"library(ssdtools) ssddata::ccme_boron #> # A tibble: 28 × 5 #>    Chemical Species                  Conc Group        Units #>    <chr>    <chr>                   <dbl> <fct>        <chr> #>  1 Boron    Oncorhynchus mykiss       2.1 Fish         mg/L  #>  2 Boron    Ictalurus punctatus       2.4 Fish         mg/L  #>  3 Boron    Micropterus salmoides     4.1 Fish         mg/L  #>  4 Boron    Brachydanio rerio        10   Fish         mg/L  #>  5 Boron    Carassius auratus        15.6 Fish         mg/L  #>  6 Boron    Pimephales promelas      18.3 Fish         mg/L  #>  7 Boron    Daphnia magna             6   Invertebrate mg/L  #>  8 Boron    Opercularia bimarginata  10   Invertebrate mg/L  #>  9 Boron    Ceriodaphnia dubia       13.4 Invertebrate mg/L  #> 10 Boron    Entosiphon sulcatum      15   Invertebrate mg/L  #> # ℹ 18 more rows fits <- ssd_fit_dists(ssddata::ccme_boron) autoplot(fits) ssd_gof(fits) #> # A tibble: 6 × 9 #>   dist           ad     ks    cvm   aic  aicc   bic delta weight #>   <chr>       <dbl>  <dbl>  <dbl> <dbl> <dbl> <dbl> <dbl>  <dbl> #> 1 gamma       0.440 0.117  0.0554  238.  238.  240. 0.005  0.357 #> 2 lgumbel     0.829 0.158  0.134   244.  245.  247. 6.56   0.013 #> 3 llogis      0.487 0.0994 0.0595  241.  241.  244. 3.39   0.066 #> 4 lnorm       0.507 0.107  0.0703  239.  240.  242. 1.40   0.177 #> 5 lnorm_lnorm 0.320 0.116  0.0414  240.  243.  247. 4.98   0.03  #> 6 weibull     0.434 0.117  0.0542  238.  238.  240. 0      0.357 set.seed(99) hc5 <- ssd_hc(fits, ci = TRUE) print(hc5) #> # A tibble: 1 × 11 #>   dist    proportion   est    se   lcl   ucl    wt method    nboot pboot samples #>   <chr>        <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <chr>     <dbl> <dbl> <I<lis> #> 1 average       0.05  1.26 0.781 0.407  3.29     1 parametr…  1000 0.999 <dbl> future::multisession(workers = 2) hc5 <- ssd_hc(fits, ci = TRUE) doFuture::registerDoFuture() future::plan(future::multisession)  set.seed(99) boron_pred <- predict(fits, ci = TRUE) library(ggplot2)  theme_set(theme_bw())  ssd_plot(ssddata::ccme_boron, boron_pred,   shape = \"Group\", color = \"Group\", label = \"Species\",   xlab = \"Concentration (mg/L)\", ribbon = TRUE ) +   expand_limits(x = 3000) +   scale_colour_ssd()"},{"path":"/index.html","id":"references","dir":"","previous_headings":"","what":"References","title":"Species Sensitivity Distributions","text":"Posthuma, L., Suter II, G.W., Traas, T.P. 2001. Species Sensitivity Distributions Ecotoxicology. CRC Press.","code":""},{"path":"/index.html","id":"information","dir":"","previous_headings":"","what":"Information","title":"Species Sensitivity Distributions","text":"Get started ssdtools https://bcgov.github.io/ssdtools/articles/ssdtools.html. shiny app allow non-R users interface ssdtools available https://github.com/bcgov/shinyssdtools. latest changes visit NEWS. citation shiny app: Dalgarno, S. 2021. shinyssdtools: web application fitting Species Sensitivity Distributions (SSDs). JOSS 6(57): 2848. https://joss.theoj.org/papers/10.21105/joss.02848. ssdtools package developed result earlier drafts : Schwarz, C., Tillmanns, . 2019. Improving Statistical Methods Modeling Species Sensitivity Distributions. Province British Columbia, Victoria, BC. recent developments SSD modeling including review existing software see: Fox, D.R., et al. 2021. Recent Developments Species Sensitivity Distribution Modeling. Environ Toxicol Chem 40(2): 293–308. https://doi.org/10.1002/etc.4925. CCME data.csv data file derived factsheet prepared Canadian Council Ministers Environment. See data-raw folder information.","code":""},{"path":"/index.html","id":"getting-help-or-reporting-an-issue","dir":"","previous_headings":"","what":"Getting Help or Reporting an Issue","title":"Species Sensitivity Distributions","text":"report bugs/issues/feature requests, please file issue.","code":""},{"path":"/index.html","id":"how-to-contribute","dir":"","previous_headings":"","what":"How to Contribute","title":"Species Sensitivity Distributions","text":"like contribute package, please see CONTRIBUTING guidelines.","code":""},{"path":"/index.html","id":"code-of-conduct","dir":"","previous_headings":"","what":"Code of Conduct","title":"Species Sensitivity Distributions","text":"Please note ssdtools project released Contributor Code Conduct. contributing project, agree abide terms.","code":""},{"path":"/index.html","id":"licensing","dir":"","previous_headings":"","what":"Licensing","title":"Species Sensitivity Distributions","text":"Copyright 2024 Province British Columbia, Environment Climate Change Canada, Australian Government Department Climate Change, Energy, Environment Water documentation released CC 4.0 License code released Apache License 2.0","code":""},{"path":"/reference/augment.fitdists.html","id":null,"dir":"Reference","previous_headings":"","what":"Augmented Data from fitdists Object — augment.fitdists","title":"Augmented Data from fitdists Object — augment.fitdists","text":"Get tibble original data augmentation.","code":""},{"path":"/reference/augment.fitdists.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Augmented Data from fitdists Object — augment.fitdists","text":"","code":"# S3 method for fitdists augment(x, ...)"},{"path":"/reference/augment.fitdists.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Augmented Data from fitdists Object — augment.fitdists","text":"x object. ... Unused.","code":""},{"path":"/reference/augment.fitdists.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Augmented Data from fitdists Object — augment.fitdists","text":"tibble agumented data.","code":""},{"path":[]},{"path":"/reference/augment.fitdists.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Augmented Data from fitdists Object — augment.fitdists","text":"","code":"fits <- ssd_fit_dists(ssddata::ccme_boron) augment(fits) #> # A tibble: 28 × 5 #>    Chemical Species                  Conc Group        Units #>    <chr>    <chr>                   <dbl> <fct>        <chr> #>  1 Boron    Oncorhynchus mykiss       2.1 Fish         mg/L  #>  2 Boron    Ictalurus punctatus       2.4 Fish         mg/L  #>  3 Boron    Micropterus salmoides     4.1 Fish         mg/L  #>  4 Boron    Brachydanio rerio        10   Fish         mg/L  #>  5 Boron    Carassius auratus        15.6 Fish         mg/L  #>  6 Boron    Pimephales promelas      18.3 Fish         mg/L  #>  7 Boron    Daphnia magna             6   Invertebrate mg/L  #>  8 Boron    Opercularia bimarginata  10   Invertebrate mg/L  #>  9 Boron    Ceriodaphnia dubia       13.4 Invertebrate mg/L  #> 10 Boron    Entosiphon sulcatum      15   Invertebrate mg/L  #> # ℹ 18 more rows"},{"path":"/reference/autoplot.fitdists.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot a fitdists Object — autoplot.fitdists","title":"Plot a fitdists Object — autoplot.fitdists","text":"wrapper ssd_plot_cdf().","code":""},{"path":"/reference/autoplot.fitdists.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot a fitdists Object — autoplot.fitdists","text":"","code":"# S3 method for fitdists autoplot(object, ...)"},{"path":"/reference/autoplot.fitdists.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot a fitdists Object — autoplot.fitdists","text":"object object. ... Unused.","code":""},{"path":"/reference/autoplot.fitdists.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot a fitdists Object — autoplot.fitdists","text":"ggplot object.","code":""},{"path":[]},{"path":"/reference/autoplot.fitdists.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot a fitdists Object — autoplot.fitdists","text":"","code":"fits <- ssd_fit_dists(ssddata::ccme_boron) autoplot(fits)"},{"path":"/reference/boron_pred.html","id":null,"dir":"Reference","previous_headings":"","what":"Model Averaged Predictions for CCME Boron Data — boron_pred","title":"Model Averaged Predictions for CCME Boron Data — boron_pred","text":"data frame predictions based 1,000 bootstrap iterations.","code":""},{"path":"/reference/boron_pred.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Model Averaged Predictions for CCME Boron Data — boron_pred","text":"","code":"boron_pred"},{"path":"/reference/boron_pred.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Model Averaged Predictions for CCME Boron Data — boron_pred","text":"object class tbl_df (inherits tbl, data.frame) 99 rows 11 columns.","code":""},{"path":"/reference/boron_pred.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Model Averaged Predictions for CCME Boron Data — boron_pred","text":"proportion proportion species affected (int). est estimated concentration (dbl). se standard error estimate (dbl). lcl lower confidence limit (dbl). se upper confidence limit (dbl). dist distribution (chr).","code":""},{"path":"/reference/boron_pred.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Model Averaged Predictions for CCME Boron Data — boron_pred","text":"","code":"head(boron_pred) #> # A tibble: 6 × 11 #>   dist    proportion   est    se    lcl   ucl    wt method   nboot pboot samples #>   <chr>        <dbl> <dbl> <dbl>  <dbl> <dbl> <dbl> <chr>    <dbl> <dbl> <I<lis> #> 1 average       0.01 0.267 0.401 0.0418  1.53     1 paramet…  1000 0.999 <dbl>   #> 2 average       0.02 0.531 0.517 0.110   2.03     1 paramet…  1000 0.999 <dbl>   #> 3 average       0.03 0.783 0.614 0.198   2.50     1 paramet…  1000 0.999 <dbl>   #> 4 average       0.04 1.02  0.700 0.300   2.90     1 paramet…  1000 0.999 <dbl>   #> 5 average       0.05 1.26  0.781 0.407   3.29     1 paramet…  1000 0.999 <dbl>   #> 6 average       0.06 1.48  0.859 0.520   3.72     1 paramet…  1000 0.999 <dbl>"},{"path":"/reference/coef.fitdists.html","id":null,"dir":"Reference","previous_headings":"","what":"Turn a fitdists Object into a Tidy Tibble — coef.fitdists","title":"Turn a fitdists Object into a Tidy Tibble — coef.fitdists","text":"wrapper tidy.fitdists().","code":""},{"path":"/reference/coef.fitdists.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Turn a fitdists Object into a Tidy Tibble — coef.fitdists","text":"","code":"# S3 method for fitdists coef(object, ...)"},{"path":"/reference/coef.fitdists.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Turn a fitdists Object into a Tidy Tibble — coef.fitdists","text":"object object. ... Unused.","code":""},{"path":[]},{"path":"/reference/coef.fitdists.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Turn a fitdists Object into a Tidy Tibble — coef.fitdists","text":"","code":"fits <- ssd_fit_dists(ssddata::ccme_boron) coef(fits) #> # A tibble: 15 × 4 #>    dist        term           est    se #>    <chr>       <chr>        <dbl> <dbl> #>  1 gamma       scale       25.1   7.64  #>  2 gamma       shape        0.950 0.223 #>  3 lgumbel     locationlog  1.92  0.247 #>  4 lgumbel     scalelog     1.23  0.173 #>  5 llogis      locationlog  2.63  0.248 #>  6 llogis      scalelog     0.740 0.114 #>  7 lnorm       meanlog      2.56  0.235 #>  8 lnorm       sdlog        1.24  0.166 #>  9 lnorm_lnorm meanlog1     0.949 0.318 #> 10 lnorm_lnorm meanlog2     3.20  0.253 #> 11 lnorm_lnorm pmix         0.284 0.123 #> 12 lnorm_lnorm sdlog1       0.555 0.212 #> 13 lnorm_lnorm sdlog2       0.769 0.194 #> 14 weibull     scale       23.5   4.86  #> 15 weibull     shape        0.966 0.145"},{"path":"/reference/comma_signif.html","id":null,"dir":"Reference","previous_headings":"","what":"Comma and Significance Formatter — comma_signif","title":"Comma and Significance Formatter — comma_signif","text":"default numeric vectors first rounded three significant figures. scales::comma applied values greater equal 1000 ensure labels permitted different numbers decimal places.","code":""},{"path":"/reference/comma_signif.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Comma and Significance Formatter — comma_signif","text":"","code":"comma_signif(x, digits = 3, ...)"},{"path":"/reference/comma_signif.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Comma and Significance Formatter — comma_signif","text":"x numeric vector format. digits whole number specifying number significant figures. ... Additional arguments passed scales::comma.","code":""},{"path":"/reference/comma_signif.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Comma and Significance Formatter — comma_signif","text":"character vector.","code":""},{"path":"/reference/comma_signif.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Comma and Significance Formatter — comma_signif","text":"","code":"comma_signif(c(0.1, 1, 10, 1000)) #> [1] \"0.1\"   \"1\"     \"10\"    \"1,000\" scales::comma(c(0.1, 1, 10, 1000)) #> [1] \"0.1\"     \"1.0\"     \"10.0\"    \"1,000.0\""},{"path":"/reference/dgompertz.html","id":null,"dir":"Reference","previous_headings":"","what":"Gompertz Probability Density  — dgompertz","title":"Gompertz Probability Density  — dgompertz","text":"Gompertz Probability Density","code":""},{"path":"/reference/dgompertz.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Gompertz Probability Density  — dgompertz","text":"","code":"dgompertz(x, llocation = 0, lshape = 0, log = FALSE)"},{"path":"/reference/dgompertz.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Gompertz Probability Density  — dgompertz","text":"x numeric vector values. llocation location parameter log scale. lshape shape parameter log scale. log logical; TRUE, probabilities p given log(p).","code":""},{"path":"/reference/dgompertz.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Gompertz Probability Density  — dgompertz","text":"numeric vector.","code":""},{"path":"/reference/dist_data.html","id":null,"dir":"Reference","previous_headings":"","what":"Distribution Data — dist_data","title":"Distribution Data — dist_data","text":"data frame information implemented distributions.","code":""},{"path":"/reference/dist_data.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Distribution Data — dist_data","text":"","code":"dist_data"},{"path":"/reference/dist_data.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Distribution Data — dist_data","text":"object class tbl_df (inherits tbl, data.frame) 10 rows 4 columns.","code":""},{"path":"/reference/dist_data.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Distribution Data — dist_data","text":"dist distribution (chr). npars number parameters (int). tails Whether distribution tails (flag). stable Whether distribution numerically stable (flag). bcanz Whether distribution belongs set distributions approved BC, Canada, Australia New Zealand official guidelines (flag).","code":""},{"path":[]},{"path":"/reference/dist_data.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Distribution Data — dist_data","text":"","code":"dist #> function (x, method = \"euclidean\", diag = FALSE, upper = FALSE,  #>     p = 2)  #> { #>     if (!is.na(pmatch(method, \"euclidian\")))  #>         method <- \"euclidean\" #>     METHODS <- c(\"euclidean\", \"maximum\", \"manhattan\", \"canberra\",  #>         \"binary\", \"minkowski\") #>     method <- pmatch(method, METHODS) #>     if (is.na(method))  #>         stop(\"invalid distance method\") #>     if (method == -1)  #>         stop(\"ambiguous distance method\") #>     x <- as.matrix(x) #>     N <- nrow(x) #>     attrs <- if (method == 6L)  #>         list(Size = N, Labels = dimnames(x)[[1L]], Diag = diag,  #>             Upper = upper, method = METHODS[method], p = p, call = match.call(),  #>             class = \"dist\") #>     else list(Size = N, Labels = dimnames(x)[[1L]], Diag = diag,  #>         Upper = upper, method = METHODS[method], call = match.call(),  #>         class = \"dist\") #>     .Call(C_Cdist, x, method, attrs, p) #> } #> <bytecode: 0x56061a066728> #> <environment: namespace:stats>"},{"path":"/reference/dlgumbel.html","id":null,"dir":"Reference","previous_headings":"","what":"Log-Gumbel (Inverse Weibull) Probability Density  — dlgumbel","title":"Log-Gumbel (Inverse Weibull) Probability Density  — dlgumbel","text":"Log-Gumbel (Inverse Weibull) Probability Density","code":""},{"path":"/reference/dlgumbel.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Log-Gumbel (Inverse Weibull) Probability Density  — dlgumbel","text":"","code":"dlgumbel(x, locationlog = 0, scalelog = 1, log = FALSE)"},{"path":"/reference/dlgumbel.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Log-Gumbel (Inverse Weibull) Probability Density  — dlgumbel","text":"x numeric vector values. locationlog location log scale parameter. scalelog scale log scale parameter. log logical; TRUE, probabilities p given log(p).","code":""},{"path":"/reference/dlgumbel.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Log-Gumbel (Inverse Weibull) Probability Density  — dlgumbel","text":"numeric vector.","code":""},{"path":"/reference/estimates.fitdists.html","id":null,"dir":"Reference","previous_headings":"","what":"Estimates for fitdists Object — estimates.fitdists","title":"Estimates for fitdists Object — estimates.fitdists","text":"Gets named list estimated weights parameters.","code":""},{"path":"/reference/estimates.fitdists.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Estimates for fitdists Object — estimates.fitdists","text":"","code":"# S3 method for fitdists estimates(x, all_estimates = FALSE, ...)"},{"path":"/reference/estimates.fitdists.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Estimates for fitdists Object — estimates.fitdists","text":"x object. all_estimates flag specifying whether calculate estimates implemented distributions. ... Unused.","code":""},{"path":"/reference/estimates.fitdists.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Estimates for fitdists Object — estimates.fitdists","text":"named list estimates.","code":""},{"path":[]},{"path":"/reference/estimates.fitdists.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Estimates for fitdists Object — estimates.fitdists","text":"","code":"fits <- ssd_fit_dists(ssddata::ccme_boron) estimates(fits) #> $gamma.weight #> [1] 0.3565737 #>  #> $gamma.scale #> [1] 25.12683 #>  #> $gamma.shape #> [1] 0.9501795 #>  #> $lgumbel.weight #> [1] 0.01344657 #>  #> $lgumbel.locationlog #> [1] 1.922631 #>  #> $lgumbel.scalelog #> [1] 1.232239 #>  #> $llogis.weight #> [1] 0.06564519 #>  #> $llogis.locationlog #> [1] 2.626276 #>  #> $llogis.scalelog #> [1] 0.7404264 #>  #> $lnorm.weight #> [1] 0.1772362 #>  #> $lnorm.meanlog #> [1] 2.561645 #>  #> $lnorm.sdlog #> [1] 1.241539 #>  #> $lnorm_lnorm.weight #> [1] 0.02962678 #>  #> $lnorm_lnorm.meanlog1 #> [1] 0.9494874 #>  #> $lnorm_lnorm.meanlog2 #> [1] 3.201082 #>  #> $lnorm_lnorm.pmix #> [1] 0.2839941 #>  #> $lnorm_lnorm.sdlog1 #> [1] 0.5545143 #>  #> $lnorm_lnorm.sdlog2 #> [1] 0.7688237 #>  #> $weibull.weight #> [1] 0.3574716 #>  #> $weibull.scale #> [1] 23.51397 #>  #> $weibull.shape #> [1] 0.9660997 #>"},{"path":"/reference/geom_hcintersect.html","id":null,"dir":"Reference","previous_headings":"","what":"Species Sensitivity Hazard Concentration Intersection — geom_hcintersect","title":"Species Sensitivity Hazard Concentration Intersection — geom_hcintersect","text":"Plots intersection xintercept yintercept value.","code":""},{"path":"/reference/geom_hcintersect.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Species Sensitivity Hazard Concentration Intersection — geom_hcintersect","text":"","code":"geom_hcintersect(   mapping = NULL,   data = NULL,   ...,   xintercept,   yintercept,   na.rm = FALSE,   show.legend = NA )"},{"path":"/reference/geom_hcintersect.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Species Sensitivity Hazard Concentration Intersection — geom_hcintersect","text":"mapping Set aesthetic mappings created aes(). specified inherit.aes = TRUE (default), combined default mapping top level plot. must supply mapping plot mapping. data data displayed layer. three options: NULL, default, data inherited plot data specified call ggplot(). data.frame, object, override plot data. objects fortified produce data frame. See fortify() variables created. function called single argument, plot data. return value must data.frame, used layer data. function can created formula (e.g. ~ head(.x, 10)). ... arguments passed layer()'s params argument. arguments broadly fall one 4 categories . Notably, arguments position argument, aesthetics required can passed .... Unknown arguments part 4 categories ignored. Static aesthetics mapped scale, fixed value apply layer whole. example, colour = \"red\" linewidth = 3. geom's documentation Aesthetics section lists available options. 'required' aesthetics passed params. Please note passing unmapped aesthetics vectors technically possible, order required length guaranteed parallel input data. constructing layer using stat_*() function, ... argument can used pass parameters geom part layer. example stat_density(geom = \"area\", outline.type = \"\"). geom's documentation lists parameters can accept. Inversely, constructing layer using geom_*() function, ... argument can used pass parameters stat part layer. example geom_area(stat = \"density\", adjust = 0.5). stat's documentation lists parameters can accept. key_glyph argument layer() may also passed .... can one functions described key glyphs, change display layer legend. xintercept x-value intersect yintercept y-value intersect. na.rm FALSE, default, missing values removed warning. TRUE, missing values silently removed. show.legend logical. layer included legends? NA, default, includes aesthetics mapped. FALSE never includes, TRUE always includes. can also named logical vector finely select aesthetics display.","code":""},{"path":[]},{"path":"/reference/geom_hcintersect.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Species Sensitivity Hazard Concentration Intersection — geom_hcintersect","text":"","code":"ggplot2::ggplot(ssddata::ccme_boron, ggplot2::aes(x = Conc)) +   geom_ssdpoint() +   geom_hcintersect(xintercept = 1.5, yintercept = 0.05)"},{"path":"/reference/geom_ssd.html","id":null,"dir":"Reference","previous_headings":"","what":"Species Sensitivity Data Points  — geom_ssd","title":"Species Sensitivity Data Points  — geom_ssd","text":"geom_ssd() deprecated geom_ssdpoint().","code":""},{"path":"/reference/geom_ssd.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Species Sensitivity Data Points  — geom_ssd","text":"","code":"geom_ssd(   mapping = NULL,   data = NULL,   stat = \"ssdpoint\",   position = \"identity\",   ...,   na.rm = FALSE,   show.legend = NA,   inherit.aes = TRUE )"},{"path":"/reference/geom_ssd.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Species Sensitivity Data Points  — geom_ssd","text":"mapping Set aesthetic mappings created aes(). specified inherit.aes = TRUE (default), combined default mapping top level plot. must supply mapping plot mapping. data data displayed layer. three options: NULL, default, data inherited plot data specified call ggplot(). data.frame, object, override plot data. objects fortified produce data frame. See fortify() variables created. function called single argument, plot data. return value must data.frame, used layer data. function can created formula (e.g. ~ head(.x, 10)). stat statistical transformation use data layer. using geom_*() function construct layer, stat argument can used override default coupling geoms stats. stat argument accepts following: Stat ggproto subclass, example StatCount. string naming stat. give stat string, strip function name stat_ prefix. example, use stat_count(), give stat \"count\". information ways specify stat, see layer stat documentation. position position adjustment use data layer. can used various ways, including prevent overplotting improving display. position argument accepts following: result calling position function, position_jitter(). method allows passing extra arguments position. string naming position adjustment. give position string, strip function name position_ prefix. example, use position_jitter(), give position \"jitter\". information ways specify position, see layer position documentation. ... arguments passed layer()'s params argument. arguments broadly fall one 4 categories . Notably, arguments position argument, aesthetics required can passed .... Unknown arguments part 4 categories ignored. Static aesthetics mapped scale, fixed value apply layer whole. example, colour = \"red\" linewidth = 3. geom's documentation Aesthetics section lists available options. 'required' aesthetics passed params. Please note passing unmapped aesthetics vectors technically possible, order required length guaranteed parallel input data. constructing layer using stat_*() function, ... argument can used pass parameters geom part layer. example stat_density(geom = \"area\", outline.type = \"\"). geom's documentation lists parameters can accept. Inversely, constructing layer using geom_*() function, ... argument can used pass parameters stat part layer. example geom_area(stat = \"density\", adjust = 0.5). stat's documentation lists parameters can accept. key_glyph argument layer() may also passed .... can one functions described key glyphs, change display layer legend. na.rm FALSE, default, missing values removed warning. TRUE, missing values silently removed. show.legend logical. layer included legends? NA, default, includes aesthetics mapped. FALSE never includes, TRUE always includes. can also named logical vector finely select aesthetics display. inherit.aes FALSE, overrides default aesthetics, rather combining . useful helper functions define data aesthetics inherit behaviour default plot specification, e.g. borders().","code":""},{"path":"/reference/geom_ssd.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Species Sensitivity Data Points  — geom_ssd","text":"","code":"if (FALSE) { ggplot2::ggplot(ssddata::ccme_boron, ggplot2::aes(x = Conc)) +   geom_ssd() }"},{"path":"/reference/geom_ssdpoint.html","id":null,"dir":"Reference","previous_headings":"","what":"Species Sensitivity Data Points — geom_ssdpoint","title":"Species Sensitivity Data Points — geom_ssdpoint","text":"Uses empirical cumulative distribution create scatterplot points x.","code":""},{"path":"/reference/geom_ssdpoint.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Species Sensitivity Data Points — geom_ssdpoint","text":"","code":"geom_ssdpoint(   mapping = NULL,   data = NULL,   stat = \"ssdpoint\",   position = \"identity\",   ...,   na.rm = FALSE,   show.legend = NA,   inherit.aes = TRUE )"},{"path":"/reference/geom_ssdpoint.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Species Sensitivity Data Points — geom_ssdpoint","text":"mapping Set aesthetic mappings created aes(). specified inherit.aes = TRUE (default), combined default mapping top level plot. must supply mapping plot mapping. data data displayed layer. three options: NULL, default, data inherited plot data specified call ggplot(). data.frame, object, override plot data. objects fortified produce data frame. See fortify() variables created. function called single argument, plot data. return value must data.frame, used layer data. function can created formula (e.g. ~ head(.x, 10)). stat statistical transformation use data layer. using geom_*() function construct layer, stat argument can used override default coupling geoms stats. stat argument accepts following: Stat ggproto subclass, example StatCount. string naming stat. give stat string, strip function name stat_ prefix. example, use stat_count(), give stat \"count\". information ways specify stat, see layer stat documentation. position position adjustment use data layer. can used various ways, including prevent overplotting improving display. position argument accepts following: result calling position function, position_jitter(). method allows passing extra arguments position. string naming position adjustment. give position string, strip function name position_ prefix. example, use position_jitter(), give position \"jitter\". information ways specify position, see layer position documentation. ... arguments passed layer()'s params argument. arguments broadly fall one 4 categories . Notably, arguments position argument, aesthetics required can passed .... Unknown arguments part 4 categories ignored. Static aesthetics mapped scale, fixed value apply layer whole. example, colour = \"red\" linewidth = 3. geom's documentation Aesthetics section lists available options. 'required' aesthetics passed params. Please note passing unmapped aesthetics vectors technically possible, order required length guaranteed parallel input data. constructing layer using stat_*() function, ... argument can used pass parameters geom part layer. example stat_density(geom = \"area\", outline.type = \"\"). geom's documentation lists parameters can accept. Inversely, constructing layer using geom_*() function, ... argument can used pass parameters stat part layer. example geom_area(stat = \"density\", adjust = 0.5). stat's documentation lists parameters can accept. key_glyph argument layer() may also passed .... can one functions described key glyphs, change display layer legend. na.rm FALSE, default, missing values removed warning. TRUE, missing values silently removed. show.legend logical. layer included legends? NA, default, includes aesthetics mapped. FALSE never includes, TRUE always includes. can also named logical vector finely select aesthetics display. inherit.aes FALSE, overrides default aesthetics, rather combining . useful helper functions define data aesthetics inherit behaviour default plot specification, e.g. borders().","code":""},{"path":[]},{"path":"/reference/geom_ssdpoint.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Species Sensitivity Data Points — geom_ssdpoint","text":"","code":"ggplot2::ggplot(ssddata::ccme_boron, ggplot2::aes(x = Conc)) +   geom_ssdpoint()"},{"path":"/reference/geom_ssdsegment.html","id":null,"dir":"Reference","previous_headings":"","what":"Species Sensitivity Censored Segments — geom_ssdsegment","title":"Species Sensitivity Censored Segments — geom_ssdsegment","text":"Uses empirical cumulative distribution draw lines points x xend.","code":""},{"path":"/reference/geom_ssdsegment.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Species Sensitivity Censored Segments — geom_ssdsegment","text":"","code":"geom_ssdsegment(   mapping = NULL,   data = NULL,   stat = \"ssdsegment\",   position = \"identity\",   ...,   arrow = NULL,   arrow.fill = NULL,   lineend = \"butt\",   linejoin = \"round\",   na.rm = FALSE,   show.legend = NA,   inherit.aes = TRUE )"},{"path":"/reference/geom_ssdsegment.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Species Sensitivity Censored Segments — geom_ssdsegment","text":"mapping Set aesthetic mappings created aes(). specified inherit.aes = TRUE (default), combined default mapping top level plot. must supply mapping plot mapping. data data displayed layer. three options: NULL, default, data inherited plot data specified call ggplot(). data.frame, object, override plot data. objects fortified produce data frame. See fortify() variables created. function called single argument, plot data. return value must data.frame, used layer data. function can created formula (e.g. ~ head(.x, 10)). stat statistical transformation use data layer. using geom_*() function construct layer, stat argument can used override default coupling geoms stats. stat argument accepts following: Stat ggproto subclass, example StatCount. string naming stat. give stat string, strip function name stat_ prefix. example, use stat_count(), give stat \"count\". information ways specify stat, see layer stat documentation. position position adjustment use data layer. can used various ways, including prevent overplotting improving display. position argument accepts following: result calling position function, position_jitter(). method allows passing extra arguments position. string naming position adjustment. give position string, strip function name position_ prefix. example, use position_jitter(), give position \"jitter\". information ways specify position, see layer position documentation. ... arguments passed layer()'s params argument. arguments broadly fall one 4 categories . Notably, arguments position argument, aesthetics required can passed .... Unknown arguments part 4 categories ignored. Static aesthetics mapped scale, fixed value apply layer whole. example, colour = \"red\" linewidth = 3. geom's documentation Aesthetics section lists available options. 'required' aesthetics passed params. Please note passing unmapped aesthetics vectors technically possible, order required length guaranteed parallel input data. constructing layer using stat_*() function, ... argument can used pass parameters geom part layer. example stat_density(geom = \"area\", outline.type = \"\"). geom's documentation lists parameters can accept. Inversely, constructing layer using geom_*() function, ... argument can used pass parameters stat part layer. example geom_area(stat = \"density\", adjust = 0.5). stat's documentation lists parameters can accept. key_glyph argument layer() may also passed .... can one functions described key glyphs, change display layer legend. arrow specification arrow heads, created grid::arrow(). arrow.fill fill colour use arrow head (closed). NULL means use colour aesthetic. lineend Line end style (round, butt, square). linejoin Line join style (round, mitre, bevel). na.rm FALSE, default, missing values removed warning. TRUE, missing values silently removed. show.legend logical. layer included legends? NA, default, includes aesthetics mapped. FALSE never includes, TRUE always includes. can also named logical vector finely select aesthetics display. inherit.aes FALSE, overrides default aesthetics, rather combining . useful helper functions define data aesthetics inherit behaviour default plot specification, e.g. borders().","code":""},{"path":[]},{"path":"/reference/geom_ssdsegment.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Species Sensitivity Censored Segments — geom_ssdsegment","text":"","code":"ggplot2::ggplot(ssddata::ccme_boron, ggplot2::aes(x = Conc, xend = Conc * 2)) +   geom_ssdsegment()"},{"path":"/reference/geom_xribbon.html","id":null,"dir":"Reference","previous_headings":"","what":"Ribbon on X-Axis — geom_xribbon","title":"Ribbon on X-Axis — geom_xribbon","text":"Plots x interval defined xmin xmax.","code":""},{"path":"/reference/geom_xribbon.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Ribbon on X-Axis — geom_xribbon","text":"","code":"geom_xribbon(   mapping = NULL,   data = NULL,   stat = \"identity\",   position = \"identity\",   ...,   na.rm = FALSE,   show.legend = NA,   inherit.aes = TRUE )"},{"path":"/reference/geom_xribbon.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Ribbon on X-Axis — geom_xribbon","text":"mapping Set aesthetic mappings created aes(). specified inherit.aes = TRUE (default), combined default mapping top level plot. must supply mapping plot mapping. data data displayed layer. three options: NULL, default, data inherited plot data specified call ggplot(). data.frame, object, override plot data. objects fortified produce data frame. See fortify() variables created. function called single argument, plot data. return value must data.frame, used layer data. function can created formula (e.g. ~ head(.x, 10)). stat statistical transformation use data layer. using geom_*() function construct layer, stat argument can used override default coupling geoms stats. stat argument accepts following: Stat ggproto subclass, example StatCount. string naming stat. give stat string, strip function name stat_ prefix. example, use stat_count(), give stat \"count\". information ways specify stat, see layer stat documentation. position position adjustment use data layer. can used various ways, including prevent overplotting improving display. position argument accepts following: result calling position function, position_jitter(). method allows passing extra arguments position. string naming position adjustment. give position string, strip function name position_ prefix. example, use position_jitter(), give position \"jitter\". information ways specify position, see layer position documentation. ... arguments passed layer()'s params argument. arguments broadly fall one 4 categories . Notably, arguments position argument, aesthetics required can passed .... Unknown arguments part 4 categories ignored. Static aesthetics mapped scale, fixed value apply layer whole. example, colour = \"red\" linewidth = 3. geom's documentation Aesthetics section lists available options. 'required' aesthetics passed params. Please note passing unmapped aesthetics vectors technically possible, order required length guaranteed parallel input data. constructing layer using stat_*() function, ... argument can used pass parameters geom part layer. example stat_density(geom = \"area\", outline.type = \"\"). geom's documentation lists parameters can accept. Inversely, constructing layer using geom_*() function, ... argument can used pass parameters stat part layer. example geom_area(stat = \"density\", adjust = 0.5). stat's documentation lists parameters can accept. key_glyph argument layer() may also passed .... can one functions described key glyphs, change display layer legend. na.rm FALSE, default, missing values removed warning. TRUE, missing values silently removed. show.legend logical. layer included legends? NA, default, includes aesthetics mapped. FALSE never includes, TRUE always includes. can also named logical vector finely select aesthetics display. inherit.aes FALSE, overrides default aesthetics, rather combining . useful helper functions define data aesthetics inherit behaviour default plot specification, e.g. borders().","code":""},{"path":[]},{"path":"/reference/geom_xribbon.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Ribbon on X-Axis — geom_xribbon","text":"","code":"gp <- ggplot2::ggplot(boron_pred) +   geom_xribbon(ggplot2::aes(xmin = lcl, xmax = ucl, y = proportion))"},{"path":"/reference/glance.fitdists.html","id":null,"dir":"Reference","previous_headings":"","what":"Get a tibble summarizing each distribution — glance.fitdists","title":"Get a tibble summarizing each distribution — glance.fitdists","text":"Gets tibble single row distribution.","code":""},{"path":"/reference/glance.fitdists.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get a tibble summarizing each distribution — glance.fitdists","text":"","code":"# S3 method for fitdists glance(x, ...)"},{"path":"/reference/glance.fitdists.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get a tibble summarizing each distribution — glance.fitdists","text":"x object. ... Unused.","code":""},{"path":"/reference/glance.fitdists.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get a tibble summarizing each distribution — glance.fitdists","text":"tidy tibble distributions.","code":""},{"path":[]},{"path":"/reference/glance.fitdists.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Get a tibble summarizing each distribution — glance.fitdists","text":"","code":"fits <- ssd_fit_dists(ssddata::ccme_boron) glance(fits) #> # A tibble: 6 × 8 #>   dist        npars  nobs log_lik   aic  aicc   delta weight #>   <chr>       <int> <int>   <dbl> <dbl> <dbl>   <dbl>  <dbl> #> 1 gamma           2    28   -117.  238.  238. 0.00503 0.357  #> 2 lgumbel         2    28   -120.  244.  245. 6.56    0.0134 #> 3 llogis          2    28   -119.  241.  241. 3.39    0.0656 #> 4 lnorm           2    28   -118.  239.  240. 1.40    0.177  #> 5 lnorm_lnorm     5    28   -115.  240.  243. 4.98    0.0296 #> 6 weibull         2    28   -117.  238.  238. 0       0.357"},{"path":"/reference/is.fitdists.html","id":null,"dir":"Reference","previous_headings":"","what":"Is fitdists Object — is.fitdists","title":"Is fitdists Object — is.fitdists","text":"Tests whether x fitdists Object.","code":""},{"path":"/reference/is.fitdists.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Is fitdists Object — is.fitdists","text":"","code":"is.fitdists(x)"},{"path":"/reference/is.fitdists.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Is fitdists Object — is.fitdists","text":"x object.","code":""},{"path":"/reference/is.fitdists.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Is fitdists Object — is.fitdists","text":"flag specifying whether x fitdists Object.","code":""},{"path":"/reference/is.fitdists.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Is fitdists Object — is.fitdists","text":"","code":"fits <- ssd_fit_dists(ssddata::ccme_boron) is.fitdists(fits) #> [1] TRUE"},{"path":"/reference/is_censored.html","id":null,"dir":"Reference","previous_headings":"","what":"Is Censored  — is_censored","title":"Is Censored  — is_censored","text":"Deprecated ssd_is_censored().","code":""},{"path":"/reference/is_censored.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Is Censored  — is_censored","text":"","code":"is_censored(x)"},{"path":"/reference/is_censored.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Is Censored  — is_censored","text":"x fitdists object.","code":""},{"path":"/reference/is_censored.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Is Censored  — is_censored","text":"flag indicating data censored.","code":""},{"path":[]},{"path":"/reference/is_censored.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Is Censored  — is_censored","text":"","code":"fits <- ssd_fit_dists(ssddata::ccme_boron) is_censored(fits) #> Warning: `is_censored()` was deprecated in ssdtools 0.3.7. #> ℹ Please use `ssd_is_censored()` instead. #> [1] FALSE"},{"path":"/reference/licensing_md.html","id":null,"dir":"Reference","previous_headings":"","what":"Licensing Markdown — licensing_md","title":"Licensing Markdown — licensing_md","text":"string markdown code indicating licensing code documentation","code":""},{"path":"/reference/licensing_md.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Licensing Markdown — licensing_md","text":"","code":"licensing_md()"},{"path":"/reference/licensing_md.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Licensing Markdown — licensing_md","text":"","code":"licensing_md() #> [1] \"## Licensing\\n  Copyright 2018-2024 Province of British Columbia\\\\\\n  Copyright 2021 Environment and Climate Change Canada\\\\\\n  Copyright 2023-2024 Australian Government Department of Climate Change, Energy, the Environment and Water\\n  \\n  The documentation is released under the\\n  [CC BY 4.0 License](https://creativecommons.org/licenses/by/4.0/)\\n  \\n  The code is released under the\\n  [Apache License 2.0](https://www.apache.org/licenses/LICENSE-2.0)\\n\""},{"path":"/reference/params.html","id":null,"dir":"Reference","previous_headings":"","what":"Parameter Descriptions for ssdtools Functions — params","title":"Parameter Descriptions for ssdtools Functions — params","text":"Parameter Descriptions ssdtools Functions","code":""},{"path":"/reference/params.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Parameter Descriptions for ssdtools Functions — params","text":"add_x value add label x values (multiplying shift_x). flag specifying whether also return transformed parameters. all_dists flag specifying whether named distributions must fit successfully. at_boundary_ok flag specifying whether model one parameters boundary considered converged (default = FALSE). average flag specifying whether provide model averaged values opposed value distribution. bcanz flag NULL specifying whether include distributions set approved BC, Canada, Australia New Zealand official guidelines. breaks character vector bounds named non-negative numeric vector left right bounds uncensored missing (0 Inf) data terms orders magnitude relative extremes non-missing values. chk flag specifying whether check arguments. ci flag specifying whether estimate confidence intervals (bootstrapping). color string column data color aesthetic. computable flag specifying whether return fits numerically computable standard errors. conc numeric vector concentrations calculate hazard proportions . control list control parameters passed stats::optim(). data data frame. delta non-negative number specifying maximum absolute AIC difference cutoff. Distributions absolute AIC difference greater delta excluded calculations. digits whole number specifying number significant figures. dists character vector distribution names. hc value 0 1 indicating proportion hazard concentration (NULL). label string column data labels. left string column data concentrations. level number 0 1 confidence level interval. linecolor string column pred use line color. linetype string column pred use linetype. llocation location parameter log scale. location location parameter. locationlog location log scale parameter. locationlog1 locationlog1 parameter. locationlog2 locationlog2 parameter. log logical; TRUE, probabilities p given log(p). log.p logical; TRUE, probabilities p given log(p). lscale scale parameter log scale. lshape shape parameter log scale. lshape1 shape1 parameter log scale. lshape2 shape2 parameter log scale. lower.tail logical; TRUE (default), probabilities P[X <= x], otherwise, P[X > x]. meanlog mean log scale parameter. meanlog1 mean log scale parameter. meanlog2 mean log scale parameter. min_pboot number 0 1 minimum proportion bootstrap samples must successfully fit (return likelihood) report confidence intervals. min_pmix number 0 0.5 specifying minimum proportion mixture models. npars whole numeric vector specifying distributions include based number parameters. all_estimates flag specifying whether calculate estimates implemented distributions. ci_method string specifying method use estimating bootstrap values. Possible values \"multi_free\" \"multi_fixed\" treat distributions constituting single distribution differ whether model weights fixed \"weighted_samples\" \"weighted_arithmetic\" take bootstrap samples distribution proportional weight versus calculating weighted arithmetic means lower upper confidence limits. multi_est flag specifying whether treat distributions constituting single distribution (opposed taking mean) calculating model averaged estimates. na.rm flag specifying whether silently remove missing values remove warning. n positive number observations. nboot count number bootstrap samples use estimate confidence limits. value 10,000 recommended official guidelines. nrow positive whole number minimum number non-missing rows. nsim positive whole number number simulations generate. object object. parametric flag specifying whether perform parametric bootstrapping opposed non-parametrically resampling original data replacement. p vector probabilities. percent numeric vector percent values estimate hazard concentrations . Soft-deprecated proportion = 0.05. pmix Proportion mixture parameter. proportion numeric vector proportion values estimate hazard concentrations . pvalue flag specifying whether return p-values statistics (default) various tests. pred data frame predictions. q vector quantiles. range_shape1 numeric vector length two lower upper bounds shape1 parameter. range_shape2 shape2 parameter. reweight flag specifying whether reweight weights dividing largest weight. rescale flag specifying whether rescale concentration values dividing geometric mean minimum maximum positive finite values. ribbon flag indicating whether plot confidence interval grey ribbon opposed green solid lines. right string column data right concentration values. save_to NULL string specifying directory save bootstrap datasets parameter estimates (successfully converged) . samples flag specfying whether include numeric vector bootstrap samples list column output. scale scale parameter. scalelog1 scalelog1 parameter. scalelog2 scalelog2 parameter. scalelog scale log scale parameter. sdlog standard deviation log scale parameter. sdlog1 standard deviation log scale parameter. sdlog2 standard deviation log scale parameter. select character vector distributions select. shape shape parameter. shape1 shape1 parameter. shape2 shape2 parameter. shift_x value multiply label x values (adding add_x). silent flag indicating whether fits fail silently. size number size labels. tails flag NULL specifying whether include distributions tails. trans string transformation use default \"log10\". weight string numeric column data positive weights less equal 1,000 NULL. x object. xbreaks x-axis breaks one : NULL breaks waiver() default breaks numeric vector positions xintercept x-value intersect xlab string x-axis label. yintercept y-value intersect. ylab string x-axis label. burrIII3.weight weight parameter Burr III distribution. burrIII3.shape1 shape1 parameter Burr III distribution. burrIII3.shape2 shape2 parameter Burr III distribution. burrIII3.scale scale parameter Burr III distribution. gamma.weight weight parameter gamma distribution. gamma.shape shape parameter gamma distribution. gamma.scale scale parameter gamma distribution. gompertz.weight weight parameter Gompertz distribution. gompertz.location location parameter Gompertz distribution. gompertz.shape shape parameter Gompertz distribution. invpareto.weight weight parameter inverse Pareto distribution. invpareto.shape shape parameter inverse Pareto distribution. invpareto.scale scale parameter inverse Pareto distribution. lgumbel.weight weight parameter log-Gumbel distribution. lgumbel.locationlog location parameter log-Gumbel distribution. lgumbel.scalelog scale parameter log-Gumbel distribution. llogis.weight weight parameter log-logistic distribution. llogis.locationlog location parameter log-logistic distribution. llogis.scalelog scale parameter log-logistic distribution. llogis_llogis.weight weight parameter log-logistic log-logistic mixture distribution. llogis_llogis.locationlog1 locationlog1 parameter log-logistic log-logistic mixture distribution. llogis_llogis.scalelog1 scalelog1 parameter log-logistic log-logistic mixture distribution. llogis_llogis.locationlog2 locationlog2 parameter log-logistic log-logistic mixture distribution. llogis_llogis.scalelog2 scalelog2 parameter log-logistic log-logistic mixture distribution. llogis_llogis.pmix pmix parameter log-logistic log-logistic mixture distribution. lnorm.weight weight parameter log-normal distribution. lnorm.meanlog meanlog parameter log-normal distribution. lnorm.sdlog sdlog parameter log-normal distribution. lnorm_lnorm.weight weight parameter log-normal log-normal mixture distribution. lnorm_lnorm.meanlog1 meanlog1 parameter log-normal log-normal mixture distribution. lnorm_lnorm.sdlog1 sdlog1 parameter log-normal log-normal mixture distribution. lnorm_lnorm.meanlog2 meanlog2 parameter log-normal log-normal mixture distribution. lnorm_lnorm.sdlog2 sdlog2 parameter log-normal log-normal mixture distribution. lnorm_lnorm.pmix pmix parameter log-normal log-normal mixture distribution. weibull.weight weight parameter Weibull distribution. weibull.shape shape parameter Weibull distribution. weibull.scale scale parameter Weibull distribution. ... Unused.","code":""},{"path":"/reference/pearson1000.html","id":null,"dir":"Reference","previous_headings":"","what":"Pearson 1000 Data — pearson1000","title":"Pearson 1000 Data — pearson1000","text":"example tibble 1000 values simulated using Pearson distribution #FIXME #FIXME #FIXME #FIXME.","code":""},{"path":"/reference/pearson1000.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Pearson 1000 Data — pearson1000","text":"","code":"pearson1000"},{"path":"/reference/pearson1000.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Pearson 1000 Data — pearson1000","text":"tbl data frame includes: Conc numeric vector simulate concentrations.","code":""},{"path":"/reference/pearson1000.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Pearson 1000 Data — pearson1000","text":"data released $FIXME","code":""},{"path":"/reference/pearson1000.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Pearson 1000 Data — pearson1000","text":"","code":"head(pearson1000) #> # A tibble: 6 × 1 #>    Conc #>   <dbl> #> 1  142. #> 2  146. #> 3  146. #> 4  142. #> 5  149. #> 6  136."},{"path":"/reference/pgompertz.html","id":null,"dir":"Reference","previous_headings":"","what":"Cumulative Distribution Function for Gompertz Distribution  — pgompertz","title":"Cumulative Distribution Function for Gompertz Distribution  — pgompertz","text":"Cumulative Distribution Function Gompertz Distribution","code":""},{"path":"/reference/pgompertz.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cumulative Distribution Function for Gompertz Distribution  — pgompertz","text":"","code":"pgompertz(q, llocation = 0, lshape = 0, lower.tail = TRUE, log.p = FALSE)"},{"path":"/reference/pgompertz.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Cumulative Distribution Function for Gompertz Distribution  — pgompertz","text":"q vector quantiles. llocation location parameter log scale. lshape shape parameter log scale. lower.tail logical; TRUE (default), probabilities P[X <= x], otherwise, P[X > x]. log.p logical; TRUE, probabilities p given log(p).","code":""},{"path":"/reference/plgumbel.html","id":null,"dir":"Reference","previous_headings":"","what":"Cumulative Distribution Function for Log-Gumbel Distribution  — plgumbel","title":"Cumulative Distribution Function for Log-Gumbel Distribution  — plgumbel","text":"Cumulative Distribution Function Log-Gumbel Distribution","code":""},{"path":"/reference/plgumbel.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cumulative Distribution Function for Log-Gumbel Distribution  — plgumbel","text":"","code":"plgumbel(q, locationlog = 0, scalelog = 1, lower.tail = TRUE, log.p = FALSE)"},{"path":"/reference/plgumbel.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Cumulative Distribution Function for Log-Gumbel Distribution  — plgumbel","text":"q vector quantiles. locationlog location log scale parameter. scalelog scale log scale parameter. lower.tail logical; TRUE (default), probabilities P[X <= x], otherwise, P[X > x]. log.p logical; TRUE, probabilities p given log(p).","code":""},{"path":"/reference/predict.fitburrlioz.html","id":null,"dir":"Reference","previous_headings":"","what":"Predict Hazard Concentrations of fitburrlioz Object — predict.fitburrlioz","title":"Predict Hazard Concentrations of fitburrlioz Object — predict.fitburrlioz","text":"wrapper ssd_hc() default calculates hazard concentrations 1 99%.","code":""},{"path":"/reference/predict.fitburrlioz.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Predict Hazard Concentrations of fitburrlioz Object — predict.fitburrlioz","text":"","code":"# S3 method for fitburrlioz predict(   object,   percent,   proportion = 1:99/100,   ci = FALSE,   level = 0.95,   nboot = 1000,   min_pboot = 0.95,   parametric = TRUE,   ... )"},{"path":"/reference/predict.fitburrlioz.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Predict Hazard Concentrations of fitburrlioz Object — predict.fitburrlioz","text":"object object. percent numeric vector percent values estimate hazard concentrations . Soft-deprecated proportion = 0.05. proportion numeric vector proportion values estimate hazard concentrations . ci flag specifying whether estimate confidence intervals (bootstrapping). level number 0 1 confidence level interval. nboot count number bootstrap samples use estimate confidence limits. value 10,000 recommended official guidelines. min_pboot number 0 1 minimum proportion bootstrap samples must successfully fit (return likelihood) report confidence intervals. parametric flag specifying whether perform parametric bootstrapping opposed non-parametrically resampling original data replacement. ... Unused.","code":""},{"path":"/reference/predict.fitburrlioz.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Predict Hazard Concentrations of fitburrlioz Object — predict.fitburrlioz","text":"useful plotting purposes.","code":""},{"path":[]},{"path":"/reference/predict.fitburrlioz.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Predict Hazard Concentrations of fitburrlioz Object — predict.fitburrlioz","text":"","code":"fits <- ssd_fit_burrlioz(ssddata::ccme_boron) predict(fits) #> # A tibble: 99 × 11 #>    dist     proportion    est    se   lcl   ucl    wt method nboot pboot samples #>    <chr>         <dbl>  <dbl> <dbl> <dbl> <dbl> <dbl> <chr>  <int> <dbl> <I<lis> #>  1 invpare…       0.01 0.0228    NA    NA    NA     1 param…     0    NA <dbl>   #>  2 invpare…       0.02 0.0772    NA    NA    NA     1 param…     0    NA <dbl>   #>  3 invpare…       0.03 0.158     NA    NA    NA     1 param…     0    NA <dbl>   #>  4 invpare…       0.04 0.261     NA    NA    NA     1 param…     0    NA <dbl>   #>  5 invpare…       0.05 0.387     NA    NA    NA     1 param…     0    NA <dbl>   #>  6 invpare…       0.06 0.533     NA    NA    NA     1 param…     0    NA <dbl>   #>  7 invpare…       0.07 0.699     NA    NA    NA     1 param…     0    NA <dbl>   #>  8 invpare…       0.08 0.885     NA    NA    NA     1 param…     0    NA <dbl>   #>  9 invpare…       0.09 1.09      NA    NA    NA     1 param…     0    NA <dbl>   #> 10 invpare…       0.1  1.31      NA    NA    NA     1 param…     0    NA <dbl>   #> # ℹ 89 more rows"},{"path":"/reference/predict.fitdists.html","id":null,"dir":"Reference","previous_headings":"","what":"Predict Hazard Concentrations of fitdists Object — predict.fitdists","title":"Predict Hazard Concentrations of fitdists Object — predict.fitdists","text":"wrapper ssd_hc() default calculates hazard concentrations 1 99%.","code":""},{"path":"/reference/predict.fitdists.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Predict Hazard Concentrations of fitdists Object — predict.fitdists","text":"","code":"# S3 method for fitdists predict(   object,   percent,   proportion = 1:99/100,   average = TRUE,   ci = FALSE,   level = 0.95,   nboot = 1000,   min_pboot = 0.95,   multi_est = TRUE,   ci_method = \"weighted_samples\",   parametric = TRUE,   delta = 9.21,   control = NULL,   ... )"},{"path":"/reference/predict.fitdists.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Predict Hazard Concentrations of fitdists Object — predict.fitdists","text":"object object. percent numeric vector percent values estimate hazard concentrations . Soft-deprecated proportion = 0.05. proportion numeric vector proportion values estimate hazard concentrations . average flag specifying whether provide model averaged values opposed value distribution. ci flag specifying whether estimate confidence intervals (bootstrapping). level number 0 1 confidence level interval. nboot count number bootstrap samples use estimate confidence limits. value 10,000 recommended official guidelines. min_pboot number 0 1 minimum proportion bootstrap samples must successfully fit (return likelihood) report confidence intervals. multi_est flag specifying whether treat distributions constituting single distribution (opposed taking mean) calculating model averaged estimates. ci_method string specifying method use estimating bootstrap values. Possible values \"multi_free\" \"multi_fixed\" treat distributions constituting single distribution differ whether model weights fixed \"weighted_samples\" \"weighted_arithmetic\" take bootstrap samples distribution proportional weight versus calculating weighted arithmetic means lower upper confidence limits. parametric flag specifying whether perform parametric bootstrapping opposed non-parametrically resampling original data replacement. delta non-negative number specifying maximum absolute AIC difference cutoff. Distributions absolute AIC difference greater delta excluded calculations. control list control parameters passed stats::optim(). ... Unused.","code":""},{"path":"/reference/predict.fitdists.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Predict Hazard Concentrations of fitdists Object — predict.fitdists","text":"useful plotting purposes.","code":""},{"path":[]},{"path":"/reference/predict.fitdists.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Predict Hazard Concentrations of fitdists Object — predict.fitdists","text":"","code":"fits <- ssd_fit_dists(ssddata::ccme_boron) predict(fits) #> # A tibble: 99 × 11 #>    dist    proportion   est    se   lcl   ucl    wt method   nboot pboot samples #>    <chr>        <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <chr>    <int> <dbl> <I<lis> #>  1 average       0.01 0.267    NA    NA    NA     1 paramet…     0   NaN <dbl>   #>  2 average       0.02 0.531    NA    NA    NA     1 paramet…     0   NaN <dbl>   #>  3 average       0.03 0.783    NA    NA    NA     1 paramet…     0   NaN <dbl>   #>  4 average       0.04 1.02     NA    NA    NA     1 paramet…     0   NaN <dbl>   #>  5 average       0.05 1.26     NA    NA    NA     1 paramet…     0   NaN <dbl>   #>  6 average       0.06 1.48     NA    NA    NA     1 paramet…     0   NaN <dbl>   #>  7 average       0.07 1.71     NA    NA    NA     1 paramet…     0   NaN <dbl>   #>  8 average       0.08 1.93     NA    NA    NA     1 paramet…     0   NaN <dbl>   #>  9 average       0.09 2.16     NA    NA    NA     1 paramet…     0   NaN <dbl>   #> 10 average       0.1  2.38     NA    NA    NA     1 paramet…     0   NaN <dbl>   #> # ℹ 89 more rows"},{"path":"/reference/qgompertz.html","id":null,"dir":"Reference","previous_headings":"","what":"Quantile Function for Gompertz Distribution  — qgompertz","title":"Quantile Function for Gompertz Distribution  — qgompertz","text":"Quantile Function Gompertz Distribution","code":""},{"path":"/reference/qgompertz.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Quantile Function for Gompertz Distribution  — qgompertz","text":"","code":"qgompertz(p, llocation = 0, lshape = 0, lower.tail = TRUE, log.p = FALSE)"},{"path":"/reference/qgompertz.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Quantile Function for Gompertz Distribution  — qgompertz","text":"p vector probabilities. llocation location parameter log scale. lshape shape parameter log scale. lower.tail logical; TRUE (default), probabilities P[X <= x], otherwise, P[X > x]. log.p logical; TRUE, probabilities p given log(p).","code":""},{"path":"/reference/qlgumbel.html","id":null,"dir":"Reference","previous_headings":"","what":"Quantile Function for Log-Gumbel Distribution  — qlgumbel","title":"Quantile Function for Log-Gumbel Distribution  — qlgumbel","text":"Quantile Function Log-Gumbel Distribution","code":""},{"path":"/reference/qlgumbel.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Quantile Function for Log-Gumbel Distribution  — qlgumbel","text":"","code":"qlgumbel(p, locationlog = 0, scalelog = 1, lower.tail = TRUE, log.p = FALSE)"},{"path":"/reference/qlgumbel.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Quantile Function for Log-Gumbel Distribution  — qlgumbel","text":"p vector probabilities. locationlog location log scale parameter. scalelog scale log scale parameter. lower.tail logical; TRUE (default), probabilities P[X <= x], otherwise, P[X > x]. log.p logical; TRUE, probabilities p given log(p).","code":""},{"path":"/reference/reexports.html","id":null,"dir":"Reference","previous_headings":"","what":"Objects exported from other packages — reexports","title":"Objects exported from other packages — reexports","text":"objects imported packages. Follow links see documentation. generics augment, glance, tidy ggplot2 autoplot, waiver graphics plot stats coef, logLik, nobs, predict universals estimates, npars","code":""},{"path":"/reference/rgompertz.html","id":null,"dir":"Reference","previous_headings":"","what":"Random Generation for Gompertz Distribution  — rgompertz","title":"Random Generation for Gompertz Distribution  — rgompertz","text":"Random Generation Gompertz Distribution","code":""},{"path":"/reference/rgompertz.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Random Generation for Gompertz Distribution  — rgompertz","text":"","code":"rgompertz(n, llocation = 0, lshape = 0)"},{"path":"/reference/rgompertz.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Random Generation for Gompertz Distribution  — rgompertz","text":"n positive number observations. llocation location parameter log scale. lshape shape parameter log scale.","code":""},{"path":"/reference/rlgumbel.html","id":null,"dir":"Reference","previous_headings":"","what":"Random Generation for log-Gumbel Distribution  — rlgumbel","title":"Random Generation for log-Gumbel Distribution  — rlgumbel","text":"Random Generation log-Gumbel Distribution","code":""},{"path":"/reference/rlgumbel.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Random Generation for log-Gumbel Distribution  — rlgumbel","text":"","code":"rlgumbel(n, locationlog = 0, scalelog = 1)"},{"path":"/reference/rlgumbel.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Random Generation for log-Gumbel Distribution  — rlgumbel","text":"n positive number observations. locationlog location log scale parameter. scalelog scale log scale parameter.","code":""},{"path":"/reference/scale_colour_ssd.html","id":null,"dir":"Reference","previous_headings":"","what":"Discrete color-blind scale for SSD Plots — scale_colour_ssd","title":"Discrete color-blind scale for SSD Plots — scale_colour_ssd","text":"Discrete color-blind scale SSD Plots","code":""},{"path":"/reference/scale_colour_ssd.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Discrete color-blind scale for SSD Plots — scale_colour_ssd","text":"","code":"scale_colour_ssd(...)  scale_color_ssd(...)"},{"path":"/reference/scale_colour_ssd.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Discrete color-blind scale for SSD Plots — scale_colour_ssd","text":"... Arguments passed ggplot2::discrete_scale().","code":""},{"path":"/reference/scale_colour_ssd.html","id":"functions","dir":"Reference","previous_headings":"","what":"Functions","title":"Discrete color-blind scale for SSD Plots — scale_colour_ssd","text":"scale_color_ssd(): Discrete color-blind scale SSD Plots","code":""},{"path":[]},{"path":"/reference/scale_colour_ssd.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Discrete color-blind scale for SSD Plots — scale_colour_ssd","text":"","code":"ssd_plot(ssddata::ccme_boron, boron_pred, shape = \"Group\") +   scale_colour_ssd()"},{"path":"/reference/ssd_data.html","id":null,"dir":"Reference","previous_headings":"","what":"Data from fitdists Object — ssd_data","title":"Data from fitdists Object — ssd_data","text":"Get tibble original data.","code":""},{"path":"/reference/ssd_data.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Data from fitdists Object — ssd_data","text":"","code":"ssd_data(x)"},{"path":"/reference/ssd_data.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Data from fitdists Object — ssd_data","text":"x object.","code":""},{"path":"/reference/ssd_data.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Data from fitdists Object — ssd_data","text":"tibble original data.","code":""},{"path":[]},{"path":"/reference/ssd_data.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Data from fitdists Object — ssd_data","text":"","code":"fits <- ssd_fit_dists(ssddata::ccme_boron) ssd_data(fits) #> # A tibble: 28 × 5 #>    Chemical Species                  Conc Group        Units #>    <chr>    <chr>                   <dbl> <fct>        <chr> #>  1 Boron    Oncorhynchus mykiss       2.1 Fish         mg/L  #>  2 Boron    Ictalurus punctatus       2.4 Fish         mg/L  #>  3 Boron    Micropterus salmoides     4.1 Fish         mg/L  #>  4 Boron    Brachydanio rerio        10   Fish         mg/L  #>  5 Boron    Carassius auratus        15.6 Fish         mg/L  #>  6 Boron    Pimephales promelas      18.3 Fish         mg/L  #>  7 Boron    Daphnia magna             6   Invertebrate mg/L  #>  8 Boron    Opercularia bimarginata  10   Invertebrate mg/L  #>  9 Boron    Ceriodaphnia dubia       13.4 Invertebrate mg/L  #> 10 Boron    Entosiphon sulcatum      15   Invertebrate mg/L  #> # ℹ 18 more rows"},{"path":"/reference/ssd_dists.html","id":null,"dir":"Reference","previous_headings":"","what":"Species Sensitivity Distributions — ssd_dists","title":"Species Sensitivity Distributions — ssd_dists","text":"Gets character vector names available distributions.","code":""},{"path":"/reference/ssd_dists.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Species Sensitivity Distributions — ssd_dists","text":"","code":"ssd_dists(bcanz = NULL, tails = NULL, npars = 2:5)"},{"path":"/reference/ssd_dists.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Species Sensitivity Distributions — ssd_dists","text":"bcanz flag NULL specifying whether include distributions set approved BC, Canada, Australia New Zealand official guidelines. tails flag NULL specifying whether include distributions tails. npars whole numeric vector specifying distributions include based number parameters.","code":""},{"path":"/reference/ssd_dists.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Species Sensitivity Distributions — ssd_dists","text":"unique, sorted character vector distributions.","code":""},{"path":[]},{"path":"/reference/ssd_dists.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Species Sensitivity Distributions — ssd_dists","text":"","code":"ssd_dists() #>  [1] \"burrIII3\"      \"gamma\"         \"gompertz\"      \"invpareto\"     #>  [5] \"lgumbel\"       \"llogis\"        \"llogis_llogis\" \"lnorm\"         #>  [9] \"lnorm_lnorm\"   \"weibull\"       ssd_dists(bcanz = TRUE) #> [1] \"gamma\"       \"lgumbel\"     \"llogis\"      \"lnorm\"       \"lnorm_lnorm\" #> [6] \"weibull\"     ssd_dists(tails = FALSE) #> [1] \"invpareto\" ssd_dists(npars = 5) #> [1] \"llogis_llogis\" \"lnorm_lnorm\""},{"path":"/reference/ssd_dists_all.html","id":null,"dir":"Reference","previous_headings":"","what":"All Species Sensitivity Distributions — ssd_dists_all","title":"All Species Sensitivity Distributions — ssd_dists_all","text":"Gets character vector names available distributions.","code":""},{"path":"/reference/ssd_dists_all.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"All Species Sensitivity Distributions — ssd_dists_all","text":"","code":"ssd_dists_all()"},{"path":"/reference/ssd_dists_all.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"All Species Sensitivity Distributions — ssd_dists_all","text":"unique, sorted character vector distributions.","code":""},{"path":[]},{"path":"/reference/ssd_dists_all.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"All Species Sensitivity Distributions — ssd_dists_all","text":"","code":"ssd_dists_all() #>  [1] \"burrIII3\"      \"gamma\"         \"gompertz\"      \"invpareto\"     #>  [5] \"lgumbel\"       \"llogis\"        \"llogis_llogis\" \"lnorm\"         #>  [9] \"lnorm_lnorm\"   \"weibull\""},{"path":"/reference/ssd_dists_bcanz.html","id":null,"dir":"Reference","previous_headings":"","what":"BCANZ Distributions — ssd_dists_bcanz","title":"BCANZ Distributions — ssd_dists_bcanz","text":"Gets character vector names distributions adopted BC, Canada, Australia New Zealand official guidelines.","code":""},{"path":"/reference/ssd_dists_bcanz.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"BCANZ Distributions — ssd_dists_bcanz","text":"","code":"ssd_dists_bcanz(npars = c(2L, 5L))"},{"path":"/reference/ssd_dists_bcanz.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"BCANZ Distributions — ssd_dists_bcanz","text":"npars whole numeric vector specifying distributions include based number parameters.","code":""},{"path":"/reference/ssd_dists_bcanz.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"BCANZ Distributions — ssd_dists_bcanz","text":"unique, sorted character vector distributions.","code":""},{"path":[]},{"path":"/reference/ssd_dists_bcanz.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"BCANZ Distributions — ssd_dists_bcanz","text":"","code":"ssd_dists_bcanz() #> [1] \"gamma\"       \"lgumbel\"     \"llogis\"      \"lnorm\"       \"lnorm_lnorm\" #> [6] \"weibull\"     ssd_dists_bcanz(npars = 2) #> [1] \"gamma\"   \"lgumbel\" \"llogis\"  \"lnorm\"   \"weibull\""},{"path":"/reference/ssd_e.html","id":null,"dir":"Reference","previous_headings":"","what":"Default Parameter Estimates — ssd_eburrIII3","title":"Default Parameter Estimates — ssd_eburrIII3","text":"Default Parameter Estimates","code":""},{"path":"/reference/ssd_e.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Default Parameter Estimates — ssd_eburrIII3","text":"","code":"ssd_eburrIII3()  ssd_egamma()  ssd_egompertz()  ssd_einvpareto()  ssd_elgumbel()  ssd_elgumbel()  ssd_ellogis_llogis()  ssd_ellogis()  ssd_elnorm_lnorm()  ssd_elnorm()  ssd_emulti()  ssd_eweibull()"},{"path":"/reference/ssd_e.html","id":"functions","dir":"Reference","previous_headings":"","what":"Functions","title":"Default Parameter Estimates — ssd_eburrIII3","text":"ssd_eburrIII3(): Default Parameter Values BurrIII Distribution ssd_egamma(): Default Parameter Values Gamma Distribution ssd_egompertz(): Default Parameter Values Gompertz Distribution ssd_einvpareto(): Default Parameter Values Inverse Pareto Distribution ssd_elgumbel(): Default Parameter Values Log-Gumbel Distribution ssd_elgumbel(): Default Parameter Values log-Gumbel Distribution ssd_ellogis_llogis(): Default Parameter Values Log-Logistic/Log-Logistic Mixture Distribution ssd_ellogis(): Default Parameter Values Log-Logistic Distribution ssd_elnorm_lnorm(): Default Parameter Values Log-Normal/Log-Normal Mixture Distribution ssd_elnorm(): Default Parameter Values Log-Normal Distribution ssd_emulti(): Default Parameter Values Multiple Distributions ssd_eweibull(): Default Parameter Values Log-Normal Distribution","code":""},{"path":[]},{"path":"/reference/ssd_e.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Default Parameter Estimates — ssd_eburrIII3","text":"","code":"ssd_eburrIII3() #> $shape1 #> [1] 1 #>  #> $shape2 #> [1] 1 #>  #> $scale #> [1] 1 #>   ssd_egamma() #> $shape #> [1] 1 #>  #> $scale #> [1] 1 #>   ssd_egompertz() #> $location #> [1] 1 #>  #> $shape #> [1] 1 #>   ssd_einvpareto() #> $shape #> [1] 3 #>  #> $scale #> [1] 1 #>   ssd_einvpareto() #> $shape #> [1] 3 #>  #> $scale #> [1] 1 #>   ssd_elgumbel() #> $locationlog #> [1] 0 #>  #> $scalelog #> [1] 1 #>   ssd_ellogis_llogis() #> $locationlog1 #> [1] 0 #>  #> $scalelog1 #> [1] 1 #>  #> $locationlog2 #> [1] 1 #>  #> $scalelog2 #> [1] 1 #>  #> $pmix #> [1] 0.5 #>   ssd_ellogis() #> $locationlog #> [1] 0 #>  #> $scalelog #> [1] 1 #>   ssd_elnorm_lnorm() #> $meanlog1 #> [1] 0 #>  #> $sdlog1 #> [1] 1 #>  #> $meanlog2 #> [1] 1 #>  #> $sdlog2 #> [1] 1 #>  #> $pmix #> [1] 0.5 #>   ssd_elnorm() #> $meanlog #> [1] 0 #>  #> $sdlog #> [1] 1 #>   ssd_emulti() #> $burrIII3.weight #> [1] 0 #>  #> $burrIII3.shape1 #> [1] 1 #>  #> $burrIII3.shape2 #> [1] 1 #>  #> $burrIII3.scale #> [1] 1 #>  #> $gamma.weight #> [1] 0.1666667 #>  #> $gamma.shape #> [1] 1 #>  #> $gamma.scale #> [1] 1 #>  #> $gompertz.weight #> [1] 0 #>  #> $gompertz.location #> [1] 1 #>  #> $gompertz.shape #> [1] 1 #>  #> $invpareto.weight #> [1] 0 #>  #> $invpareto.shape #> [1] 3 #>  #> $invpareto.scale #> [1] 1 #>  #> $lgumbel.weight #> [1] 0.1666667 #>  #> $lgumbel.locationlog #> [1] 0 #>  #> $lgumbel.scalelog #> [1] 1 #>  #> $llogis.weight #> [1] 0.1666667 #>  #> $llogis.locationlog #> [1] 0 #>  #> $llogis.scalelog #> [1] 1 #>  #> $llogis_llogis.weight #> [1] 0 #>  #> $llogis_llogis.locationlog1 #> [1] 0 #>  #> $llogis_llogis.scalelog1 #> [1] 1 #>  #> $llogis_llogis.locationlog2 #> [1] 1 #>  #> $llogis_llogis.scalelog2 #> [1] 1 #>  #> $llogis_llogis.pmix #> [1] 0.5 #>  #> $lnorm.weight #> [1] 0.1666667 #>  #> $lnorm.meanlog #> [1] 0 #>  #> $lnorm.sdlog #> [1] 1 #>  #> $lnorm_lnorm.weight #> [1] 0.1666667 #>  #> $lnorm_lnorm.meanlog1 #> [1] 0 #>  #> $lnorm_lnorm.sdlog1 #> [1] 1 #>  #> $lnorm_lnorm.meanlog2 #> [1] 1 #>  #> $lnorm_lnorm.sdlog2 #> [1] 1 #>  #> $lnorm_lnorm.pmix #> [1] 0.5 #>  #> $weibull.weight #> [1] 0.1666667 #>  #> $weibull.shape #> [1] 1 #>  #> $weibull.scale #> [1] 1 #>   ssd_eweibull() #> $shape #> [1] 1 #>  #> $scale #> [1] 1 #>"},{"path":"/reference/ssd_ecd.html","id":null,"dir":"Reference","previous_headings":"","what":"Empirical Cumulative Density — ssd_ecd","title":"Empirical Cumulative Density — ssd_ecd","text":"Empirical Cumulative Density","code":""},{"path":"/reference/ssd_ecd.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Empirical Cumulative Density — ssd_ecd","text":"","code":"ssd_ecd(x, ties.method = \"first\")"},{"path":"/reference/ssd_ecd.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Empirical Cumulative Density — ssd_ecd","text":"x numeric, complex, character logical vector. ties.method character string specifying ties treated,     see ‘Details’; can abbreviated.","code":""},{"path":"/reference/ssd_ecd.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Empirical Cumulative Density — ssd_ecd","text":"numeric vector empirical cumulative density.","code":""},{"path":"/reference/ssd_ecd.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Empirical Cumulative Density — ssd_ecd","text":"","code":"ssd_ecd(1:10) #>  [1] 0.05 0.15 0.25 0.35 0.45 0.55 0.65 0.75 0.85 0.95"},{"path":"/reference/ssd_ecd_data.html","id":null,"dir":"Reference","previous_headings":"","what":"Empirical Cumulative Density for Species Sensitivity Data — ssd_ecd_data","title":"Empirical Cumulative Density for Species Sensitivity Data — ssd_ecd_data","text":"Empirical Cumulative Density Species Sensitivity Data","code":""},{"path":"/reference/ssd_ecd_data.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Empirical Cumulative Density for Species Sensitivity Data — ssd_ecd_data","text":"","code":"ssd_ecd_data(   data,   left = \"Conc\",   right = left,   bounds = c(left = 1, right = 1) )"},{"path":"/reference/ssd_ecd_data.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Empirical Cumulative Density for Species Sensitivity Data — ssd_ecd_data","text":"data data frame. left string column data concentrations. right string column data right concentration values. bounds named non-negative numeric vector left right bounds uncensored missing (0 Inf) data terms orders magnitude relative extremes non-missing values.","code":""},{"path":"/reference/ssd_ecd_data.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Empirical Cumulative Density for Species Sensitivity Data — ssd_ecd_data","text":"numeric vector empirical cumulative density rows data.","code":""},{"path":[]},{"path":"/reference/ssd_ecd_data.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Empirical Cumulative Density for Species Sensitivity Data — ssd_ecd_data","text":"","code":"ssd_ecd_data(ssddata::ccme_boron) #>  [1] 0.12500000 0.16071429 0.23214286 0.33928571 0.51785714 0.55357143 #>  [7] 0.30357143 0.37500000 0.44642857 0.48214286 0.58928571 0.62500000 #> [13] 0.66071429 0.76785714 0.80357143 0.91071429 0.94642857 0.98214286 #> [19] 0.01785714 0.05357143 0.08928571 0.19642857 0.26785714 0.41071429 #> [25] 0.69642857 0.73214286 0.83928571 0.87500000"},{"path":"/reference/ssd_exposure.html","id":null,"dir":"Reference","previous_headings":"","what":"Proportion Exposure — ssd_exposure","title":"Proportion Exposure — ssd_exposure","text":"Calculates average proportion exposed based log-normal distribution concentrations.","code":""},{"path":"/reference/ssd_exposure.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Proportion Exposure — ssd_exposure","text":"","code":"ssd_exposure(x, meanlog = 0, sdlog = 1, nboot = 1000)"},{"path":"/reference/ssd_exposure.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Proportion Exposure — ssd_exposure","text":"x object. meanlog mean exposure concentrations log scale. sdlog standard deviation exposure concentrations log scale. nboot number samples use calculate exposure.","code":""},{"path":"/reference/ssd_exposure.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Proportion Exposure — ssd_exposure","text":"proportion exposed.","code":""},{"path":"/reference/ssd_exposure.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Proportion Exposure — ssd_exposure","text":"","code":"fits <- ssd_fit_dists(ssddata::ccme_boron, dists = \"lnorm\") set.seed(10) ssd_exposure(fits) #> [1] 0.05389213 ssd_exposure(fits, meanlog = 1) #> [1] 0.1705357 ssd_exposure(fits, meanlog = 1, sdlog = 1) #> [1] 0.1609466"},{"path":"/reference/ssd_fit_bcanz.html","id":null,"dir":"Reference","previous_headings":"","what":"Fit BCANZ Distributions — ssd_fit_bcanz","title":"Fit BCANZ Distributions — ssd_fit_bcanz","text":"Fits distributions using settings adopted BC, Canada, Australia New Zealand official guidelines.","code":""},{"path":"/reference/ssd_fit_bcanz.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Fit BCANZ Distributions — ssd_fit_bcanz","text":"","code":"ssd_fit_bcanz(data, left = \"Conc\", dists = ssd_dists_bcanz())"},{"path":"/reference/ssd_fit_bcanz.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Fit BCANZ Distributions — ssd_fit_bcanz","text":"data data frame. left string column data concentrations. dists character vector distribution names.","code":""},{"path":"/reference/ssd_fit_bcanz.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Fit BCANZ Distributions — ssd_fit_bcanz","text":"object class fitdists.","code":""},{"path":[]},{"path":"/reference/ssd_fit_bcanz.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Fit BCANZ Distributions — ssd_fit_bcanz","text":"","code":"ssd_fit_bcanz(ssddata::ccme_boron) #> Distribution 'gamma' #>   scale 25.1268 #>   shape 0.950179 #>  #> Distribution 'lgumbel' #>   locationlog 1.92263 #>   scalelog 1.23224 #>  #> Distribution 'llogis' #>   locationlog 2.62628 #>   scalelog 0.740426 #>  #> Distribution 'lnorm' #>   meanlog 2.56165 #>   sdlog 1.24154 #>  #> Distribution 'lnorm_lnorm' #>   meanlog1 0.949487 #>   meanlog2 3.20108 #>   pmix 0.283994 #>   sdlog1 0.554514 #>   sdlog2 0.768824 #>  #> Distribution 'weibull' #>   scale 23.514 #>   shape 0.9661 #>  #> Parameters estimated from 28 rows of data."},{"path":"/reference/ssd_fit_burrlioz.html","id":null,"dir":"Reference","previous_headings":"","what":"Fit Burrlioz Distributions — ssd_fit_burrlioz","title":"Fit Burrlioz Distributions — ssd_fit_burrlioz","text":"Fits 'burrIII3' distribution. shape1 parameter boundary returns 'lgumbel' (equivalent inverse Weibull). Else shape2 parameter boundary returns 'invpareto'. Otherwise returns 'burrIII3'","code":""},{"path":"/reference/ssd_fit_burrlioz.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Fit Burrlioz Distributions — ssd_fit_burrlioz","text":"","code":"ssd_fit_burrlioz(data, left = \"Conc\", rescale = FALSE, silent = FALSE)"},{"path":"/reference/ssd_fit_burrlioz.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Fit Burrlioz Distributions — ssd_fit_burrlioz","text":"data data frame. left string column data concentrations. rescale flag specifying whether rescale concentration values dividing geometric mean minimum maximum positive finite values. silent flag indicating whether fits fail silently.","code":""},{"path":"/reference/ssd_fit_burrlioz.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Fit Burrlioz Distributions — ssd_fit_burrlioz","text":"object class fitdists.","code":""},{"path":[]},{"path":"/reference/ssd_fit_burrlioz.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Fit Burrlioz Distributions — ssd_fit_burrlioz","text":"","code":"ssd_fit_burrlioz(ssddata::ccme_boron) #> Distribution 'invpareto' #>   scale 75.2608 #>   shape 0.568403 #>  #> Parameters estimated from 28 rows of data."},{"path":"/reference/ssd_fit_dists.html","id":null,"dir":"Reference","previous_headings":"","what":"Fit Distributions — ssd_fit_dists","title":"Fit Distributions — ssd_fit_dists","text":"Fits one distributions species sensitivity data.","code":""},{"path":"/reference/ssd_fit_dists.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Fit Distributions — ssd_fit_dists","text":"","code":"ssd_fit_dists(   data,   left = \"Conc\",   right = left,   weight = NULL,   dists = ssd_dists_bcanz(),   nrow = 6L,   rescale = FALSE,   reweight = FALSE,   computable = TRUE,   at_boundary_ok = FALSE,   all_dists = FALSE,   min_pmix = 0,   range_shape1 = c(0.05, 20),   range_shape2 = range_shape1,   control = list(),   silent = FALSE )"},{"path":"/reference/ssd_fit_dists.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Fit Distributions — ssd_fit_dists","text":"data data frame. left string column data concentrations. right string column data right concentration values. weight string numeric column data positive weights less equal 1,000 NULL. dists character vector distribution names. nrow positive whole number minimum number non-missing rows. rescale flag specifying whether rescale concentration values dividing geometric mean minimum maximum positive finite values. reweight flag specifying whether reweight weights dividing largest weight. computable flag specifying whether return fits numerically computable standard errors. at_boundary_ok flag specifying whether model one parameters boundary considered converged (default = FALSE). all_dists flag specifying whether named distributions must fit successfully. min_pmix number 0 0.5 specifying minimum proportion mixture models. range_shape1 numeric vector length two lower upper bounds shape1 parameter. range_shape2 shape2 parameter. control list control parameters passed stats::optim(). silent flag indicating whether fits fail silently.","code":""},{"path":"/reference/ssd_fit_dists.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Fit Distributions — ssd_fit_dists","text":"object class fitdists.","code":""},{"path":"/reference/ssd_fit_dists.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Fit Distributions — ssd_fit_dists","text":"default 'llogis', 'gamma' 'lnorm' distributions fitted data. complete list implemented distributions see ssd_dists_all(). weight specifies column data frame positive numbers, weighted estimation occurs. However, currently resultant parameter estimates available. right argument different left argument data considered censored.","code":""},{"path":[]},{"path":"/reference/ssd_fit_dists.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Fit Distributions — ssd_fit_dists","text":"","code":"fits <- ssd_fit_dists(ssddata::ccme_boron) fits #> Distribution 'gamma' #>   scale 25.1268 #>   shape 0.950179 #>  #> Distribution 'lgumbel' #>   locationlog 1.92263 #>   scalelog 1.23224 #>  #> Distribution 'llogis' #>   locationlog 2.62628 #>   scalelog 0.740426 #>  #> Distribution 'lnorm' #>   meanlog 2.56165 #>   sdlog 1.24154 #>  #> Distribution 'lnorm_lnorm' #>   meanlog1 0.949487 #>   meanlog2 3.20108 #>   pmix 0.283994 #>   sdlog1 0.554514 #>   sdlog2 0.768824 #>  #> Distribution 'weibull' #>   scale 23.514 #>   shape 0.9661 #>  #> Parameters estimated from 28 rows of data. ssd_plot_cdf(fits)  ssd_hc(fits) #> # A tibble: 1 × 11 #>   dist    proportion   est    se   lcl   ucl    wt method    nboot pboot samples #>   <chr>        <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <chr>     <int> <dbl> <I<lis> #> 1 average       0.05  1.26    NA    NA    NA     1 parametr…     0   NaN <dbl>"},{"path":"/reference/ssd_gof.html","id":null,"dir":"Reference","previous_headings":"","what":"Goodness of Fit — ssd_gof","title":"Goodness of Fit — ssd_gof","text":"Returns tbl data frame following columns dist distribution name (chr) aic Akaike's Information Criterion (dbl) bic Bayesian Information Criterion (dbl) data non-censored aicc Akaike's Information Criterion corrected sample size (dbl) 8 samples ad Anderson-Darling statistic (dbl) ks Kolmogorov-Smirnov statistic (dbl) cvm Cramer-von Mises statistic (dbl) case object class fitdists function also returns delta Information Criterion differences (dbl) weight Information Criterion weights (dbl) delta weight based aic censored data aicc non-censored data.","code":""},{"path":"/reference/ssd_gof.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Goodness of Fit — ssd_gof","text":"","code":"ssd_gof(x, ...)  # S3 method for fitdists ssd_gof(x, pvalue = FALSE, ...)"},{"path":"/reference/ssd_gof.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Goodness of Fit — ssd_gof","text":"x object. ... Unused. pvalue flag specifying whether return p-values statistics (default) various tests.","code":""},{"path":"/reference/ssd_gof.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Goodness of Fit — ssd_gof","text":"tbl data frame gof statistics.","code":""},{"path":"/reference/ssd_gof.html","id":"methods-by-class-","dir":"Reference","previous_headings":"","what":"Methods (by class)","title":"Goodness of Fit — ssd_gof","text":"ssd_gof(fitdists): Goodness Fit","code":""},{"path":[]},{"path":"/reference/ssd_gof.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Goodness of Fit — ssd_gof","text":"","code":"fits <- ssd_fit_dists(ssddata::ccme_boron) ssd_gof(fits) #> # A tibble: 6 × 9 #>   dist           ad     ks    cvm   aic  aicc   bic delta weight #>   <chr>       <dbl>  <dbl>  <dbl> <dbl> <dbl> <dbl> <dbl>  <dbl> #> 1 gamma       0.440 0.117  0.0554  238.  238.  240. 0.005  0.357 #> 2 lgumbel     0.829 0.158  0.134   244.  245.  247. 6.56   0.013 #> 3 llogis      0.487 0.0994 0.0595  241.  241.  244. 3.39   0.066 #> 4 lnorm       0.507 0.107  0.0703  239.  240.  242. 1.40   0.177 #> 5 lnorm_lnorm 0.320 0.116  0.0414  240.  243.  247. 4.98   0.03  #> 6 weibull     0.434 0.117  0.0542  238.  238.  240. 0      0.357 ssd_gof(fits) #> # A tibble: 6 × 9 #>   dist           ad     ks    cvm   aic  aicc   bic delta weight #>   <chr>       <dbl>  <dbl>  <dbl> <dbl> <dbl> <dbl> <dbl>  <dbl> #> 1 gamma       0.440 0.117  0.0554  238.  238.  240. 0.005  0.357 #> 2 lgumbel     0.829 0.158  0.134   244.  245.  247. 6.56   0.013 #> 3 llogis      0.487 0.0994 0.0595  241.  241.  244. 3.39   0.066 #> 4 lnorm       0.507 0.107  0.0703  239.  240.  242. 1.40   0.177 #> 5 lnorm_lnorm 0.320 0.116  0.0414  240.  243.  247. 4.98   0.03  #> 6 weibull     0.434 0.117  0.0542  238.  238.  240. 0      0.357"},{"path":"/reference/ssd_hc.html","id":null,"dir":"Reference","previous_headings":"","what":"Hazard Concentrations for Species Sensitivity Distributions — ssd_hc","title":"Hazard Concentrations for Species Sensitivity Distributions — ssd_hc","text":"Calculates concentration(s) bootstrap confidence intervals protect specified proportion(s) species individual model-averaged distributions using parametric non-parametric bootstrapping.","code":""},{"path":"/reference/ssd_hc.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Hazard Concentrations for Species Sensitivity Distributions — ssd_hc","text":"","code":"ssd_hc(x, ...)  # S3 method for list ssd_hc(x, percent, proportion = 0.05, ...)  # S3 method for fitdists ssd_hc(   x,   percent,   proportion = 0.05,   average = TRUE,   ci = FALSE,   level = 0.95,   nboot = 1000,   min_pboot = 0.95,   multi_est = TRUE,   ci_method = \"weighted_samples\",   parametric = TRUE,   delta = 9.21,   samples = FALSE,   save_to = NULL,   control = NULL,   ... )  # S3 method for fitburrlioz ssd_hc(   x,   percent,   proportion = 0.05,   ci = FALSE,   level = 0.95,   nboot = 1000,   min_pboot = 0.95,   parametric = FALSE,   samples = FALSE,   save_to = NULL,   ... )"},{"path":"/reference/ssd_hc.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Hazard Concentrations for Species Sensitivity Distributions — ssd_hc","text":"x object. ... Unused. percent numeric vector percent values estimate hazard concentrations . Soft-deprecated proportion = 0.05. proportion numeric vector proportion values estimate hazard concentrations . average flag specifying whether provide model averaged values opposed value distribution. ci flag specifying whether estimate confidence intervals (bootstrapping). level number 0 1 confidence level interval. nboot count number bootstrap samples use estimate confidence limits. value 10,000 recommended official guidelines. min_pboot number 0 1 minimum proportion bootstrap samples must successfully fit (return likelihood) report confidence intervals. multi_est flag specifying whether treat distributions constituting single distribution (opposed taking mean) calculating model averaged estimates. ci_method string specifying method use estimating bootstrap values. Possible values \"multi_free\" \"multi_fixed\" treat distributions constituting single distribution differ whether model weights fixed \"weighted_samples\" \"weighted_arithmetic\" take bootstrap samples distribution proportional weight versus calculating weighted arithmetic means lower upper confidence limits. parametric flag specifying whether perform parametric bootstrapping opposed non-parametrically resampling original data replacement. delta non-negative number specifying maximum absolute AIC difference cutoff. Distributions absolute AIC difference greater delta excluded calculations. samples flag specfying whether include numeric vector bootstrap samples list column output. save_to NULL string specifying directory save bootstrap datasets parameter estimates (successfully converged) . control list control parameters passed stats::optim().","code":""},{"path":"/reference/ssd_hc.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Hazard Concentrations for Species Sensitivity Distributions — ssd_hc","text":"tibble corresponding hazard concentrations.","code":""},{"path":"/reference/ssd_hc.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Hazard Concentrations for Species Sensitivity Distributions — ssd_hc","text":"Model-averaged estimates /confidence intervals (including standard error) can calculated  treating distributions constituting single mixture distribution versus 'taking mean'. calculating model averaged estimates treating distributions constituting single mixture distribution ensures ssd_hc() inverse ssd_hp(). treating distributions constituting single mixture distribution calculating model average confidence intervals weighted specifies whether use original model weights versus re-estimating bootstrap sample unless 'taking mean' case weighted specifies whether take bootstrap samples distribution proportional weight (sum nboot) versus calculating weighted arithmetic means lower upper confidence limits based nboot samples distribution. Distributions absolute AIC difference greater delta default 7 considerably less support (weight < 0.01) excluded prior calculation hazard concentrations reduce run time.","code":""},{"path":"/reference/ssd_hc.html","id":"methods-by-class-","dir":"Reference","previous_headings":"","what":"Methods (by class)","title":"Hazard Concentrations for Species Sensitivity Distributions — ssd_hc","text":"ssd_hc(list): Hazard Concentrations Distributional Estimates ssd_hc(fitdists): Hazard Concentrations fitdists Object ssd_hc(fitburrlioz): Hazard Concentrations fitburrlioz Object","code":""},{"path":"/reference/ssd_hc.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Hazard Concentrations for Species Sensitivity Distributions — ssd_hc","text":"Burnham, K.P., Anderson, D.R. 2002. Model Selection Multimodel Inference. Springer New York, New York, NY. doi:10.1007/b97636.","code":""},{"path":[]},{"path":"/reference/ssd_hc.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Hazard Concentrations for Species Sensitivity Distributions — ssd_hc","text":"","code":"ssd_hc(ssd_match_moments()) #> # A tibble: 6 × 9 #>   dist        proportion   est    se   lcl   ucl    wt nboot pboot #>   <chr>            <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <int> <dbl> #> 1 gamma             0.05 0.481    NA    NA    NA     1     0    NA #> 2 lgumbel           0.05 0.739    NA    NA    NA     1     0    NA #> 3 llogis            0.05 0.562    NA    NA    NA     1     0    NA #> 4 lnorm             0.05 0.558    NA    NA    NA     1     0    NA #> 5 lnorm_lnorm       0.05 0.469    NA    NA    NA     1     0    NA #> 6 weibull           0.05 0.501    NA    NA    NA     1     0    NA  fits <- ssd_fit_dists(ssddata::ccme_boron) ssd_hc(fits) #> # A tibble: 1 × 11 #>   dist    proportion   est    se   lcl   ucl    wt method    nboot pboot samples #>   <chr>        <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <chr>     <int> <dbl> <I<lis> #> 1 average       0.05  1.26    NA    NA    NA     1 parametr…     0   NaN <dbl>    fit <- ssd_fit_burrlioz(ssddata::ccme_boron) ssd_hc(fit) #> # A tibble: 1 × 11 #>   dist      proportion   est    se   lcl   ucl    wt method  nboot pboot samples #>   <chr>          <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <chr>   <int> <dbl> <I<lis> #> 1 invpareto       0.05 0.387    NA    NA    NA     1 non-pa…     0    NA <dbl>"},{"path":"/reference/ssd_hc_bcanz.html","id":null,"dir":"Reference","previous_headings":"","what":"BCANZ Hazard Concentrations — ssd_hc_bcanz","title":"BCANZ Hazard Concentrations — ssd_hc_bcanz","text":"Gets hazard concentrations confidence intervals protect 1, 5, 10 20% species using settings adopted BC, Canada, Australia New Zealand official guidelines. function can take several minutes run recommended 10,000 iterations.","code":""},{"path":"/reference/ssd_hc_bcanz.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"BCANZ Hazard Concentrations — ssd_hc_bcanz","text":"","code":"ssd_hc_bcanz(x, nboot = 10000, min_pboot = 0.95)"},{"path":"/reference/ssd_hc_bcanz.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"BCANZ Hazard Concentrations — ssd_hc_bcanz","text":"x object. nboot count number bootstrap samples use estimate confidence limits. value 10,000 recommended official guidelines. min_pboot number 0 1 minimum proportion bootstrap samples must successfully fit (return likelihood) report confidence intervals.","code":""},{"path":"/reference/ssd_hc_bcanz.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"BCANZ Hazard Concentrations — ssd_hc_bcanz","text":"tibble corresponding hazard concentrations.","code":""},{"path":[]},{"path":"/reference/ssd_hc_bcanz.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"BCANZ Hazard Concentrations — ssd_hc_bcanz","text":"","code":"fits <- ssd_fit_bcanz(ssddata::ccme_boron) ssd_hc_bcanz(fits, nboot = 100) #> # A tibble: 4 × 11 #>   dist    proportion   est    se    lcl   ucl    wt method   nboot pboot samples #>   <chr>        <dbl> <dbl> <dbl>  <dbl> <dbl> <dbl> <chr>    <dbl> <dbl> <I<lis> #> 1 average       0.01 0.267 0.476 0.0596  1.73     1 paramet…   100     1 <dbl>   #> 2 average       0.05 1.26  0.880 0.453   3.94     1 paramet…   100     1 <dbl>   #> 3 average       0.1  2.38  1.22  1.11    5.89     1 paramet…   100     1 <dbl>   #> 4 average       0.2  4.81  1.81  2.70    9.50     1 paramet…   100     1 <dbl>"},{"path":"/reference/ssd_hc_burrlioz.html","id":null,"dir":"Reference","previous_headings":"","what":"Hazard Concentrations for Burrlioz Fit  — ssd_hc_burrlioz","title":"Hazard Concentrations for Burrlioz Fit  — ssd_hc_burrlioz","text":"Deprecated ssd_hc().","code":""},{"path":"/reference/ssd_hc_burrlioz.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Hazard Concentrations for Burrlioz Fit  — ssd_hc_burrlioz","text":"","code":"ssd_hc_burrlioz(   x,   percent,   proportion = 0.05,   ci = FALSE,   level = 0.95,   nboot = 1000,   min_pboot = 0.95,   parametric = FALSE )"},{"path":"/reference/ssd_hc_burrlioz.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Hazard Concentrations for Burrlioz Fit  — ssd_hc_burrlioz","text":"x object. percent numeric vector percent values estimate hazard concentrations . Soft-deprecated proportion = 0.05. proportion numeric vector proportion values estimate hazard concentrations . ci flag specifying whether estimate confidence intervals (bootstrapping). level number 0 1 confidence level interval. nboot count number bootstrap samples use estimate confidence limits. value 10,000 recommended official guidelines. min_pboot number 0 1 minimum proportion bootstrap samples must successfully fit (return likelihood) report confidence intervals. parametric flag specifying whether perform parametric bootstrapping opposed non-parametrically resampling original data replacement.","code":""},{"path":"/reference/ssd_hc_burrlioz.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Hazard Concentrations for Burrlioz Fit  — ssd_hc_burrlioz","text":"tibble corresponding hazard concentrations.","code":""},{"path":"/reference/ssd_hc_burrlioz.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Hazard Concentrations for Burrlioz Fit  — ssd_hc_burrlioz","text":"","code":"fit <- ssd_fit_burrlioz(ssddata::ccme_boron) ssd_hc_burrlioz(fit) #> Warning: `ssd_hc_burrlioz()` was deprecated in ssdtools 0.3.5. #> ℹ Please use `ssd_hc()` instead. #> # A tibble: 1 × 11 #>   dist      proportion   est    se   lcl   ucl    wt method  nboot pboot samples #>   <chr>          <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <chr>   <int> <dbl> <I<lis> #> 1 invpareto       0.05 0.387    NA    NA    NA     1 non-pa…     0    NA <dbl>"},{"path":"/reference/ssd_hp.html","id":null,"dir":"Reference","previous_headings":"","what":"Hazard Proportion — ssd_hp","title":"Hazard Proportion — ssd_hp","text":"Calculates proportion species affected specified concentration(s) quantile based bootstrap confidence intervals individual model-averaged distributions using parametric non-parametric bootstrapping. information see inverse function ssd_hc().","code":""},{"path":"/reference/ssd_hp.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Hazard Proportion — ssd_hp","text":"","code":"ssd_hp(x, ...)  # S3 method for fitdists ssd_hp(   x,   conc = 1,   average = TRUE,   ci = FALSE,   level = 0.95,   nboot = 1000,   min_pboot = 0.95,   multi_est = TRUE,   ci_method = \"weighted_samples\",   parametric = TRUE,   delta = 9.21,   samples = FALSE,   save_to = NULL,   control = NULL,   ... )  # S3 method for fitburrlioz ssd_hp(   x,   conc = 1,   ci = FALSE,   level = 0.95,   nboot = 1000,   min_pboot = 0.95,   parametric = FALSE,   samples = FALSE,   save_to = NULL,   ... )"},{"path":"/reference/ssd_hp.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Hazard Proportion — ssd_hp","text":"x object. ... Unused. conc numeric vector concentrations calculate hazard proportions . average flag specifying whether provide model averaged values opposed value distribution. ci flag specifying whether estimate confidence intervals (bootstrapping). level number 0 1 confidence level interval. nboot count number bootstrap samples use estimate confidence limits. value 10,000 recommended official guidelines. min_pboot number 0 1 minimum proportion bootstrap samples must successfully fit (return likelihood) report confidence intervals. multi_est flag specifying whether treat distributions constituting single distribution (opposed taking mean) calculating model averaged estimates. ci_method string specifying method use estimating bootstrap values. Possible values \"multi_free\" \"multi_fixed\" treat distributions constituting single distribution differ whether model weights fixed \"weighted_samples\" \"weighted_arithmetic\" take bootstrap samples distribution proportional weight versus calculating weighted arithmetic means lower upper confidence limits. parametric flag specifying whether perform parametric bootstrapping opposed non-parametrically resampling original data replacement. delta non-negative number specifying maximum absolute AIC difference cutoff. Distributions absolute AIC difference greater delta excluded calculations. samples flag specfying whether include numeric vector bootstrap samples list column output. save_to NULL string specifying directory save bootstrap datasets parameter estimates (successfully converged) . control list control parameters passed stats::optim().","code":""},{"path":"/reference/ssd_hp.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Hazard Proportion — ssd_hp","text":"tibble corresponding hazard proportions.","code":""},{"path":"/reference/ssd_hp.html","id":"methods-by-class-","dir":"Reference","previous_headings":"","what":"Methods (by class)","title":"Hazard Proportion — ssd_hp","text":"ssd_hp(fitdists): Hazard Proportions fitdists Object ssd_hp(fitburrlioz): Hazard Proportions fitburrlioz Object","code":""},{"path":[]},{"path":"/reference/ssd_hp.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Hazard Proportion — ssd_hp","text":"","code":"fits <- ssd_fit_dists(ssddata::ccme_boron) ssd_hp(fits, conc = 1) #> # A tibble: 1 × 11 #>   dist     conc   est    se   lcl   ucl    wt method     nboot pboot samples   #>   <chr>   <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <chr>      <int> <dbl> <I<list>> #> 1 average     1  3.90    NA    NA    NA     1 parametric     0   NaN <dbl [0]>  fit <- ssd_fit_burrlioz(ssddata::ccme_boron) ssd_hp(fit) #> # A tibble: 1 × 11 #>   dist       conc   est    se   lcl   ucl    wt method       nboot pboot samples #>   <chr>     <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <chr>        <int> <dbl> <I<lis> #> 1 invpareto     1  8.58    NA    NA    NA     1 non-paramet…     0    NA <dbl>"},{"path":"/reference/ssd_hp_bcanz.html","id":null,"dir":"Reference","previous_headings":"","what":"BCANZ Hazard Proportion — ssd_hp_bcanz","title":"BCANZ Hazard Proportion — ssd_hp_bcanz","text":"Gets  proportion species affected specified concentration(s) using settings adopted BC, Canada, Australia New Zealand official guidelines. function can take several minutes run recommended 10,000 iterations.","code":""},{"path":"/reference/ssd_hp_bcanz.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"BCANZ Hazard Proportion — ssd_hp_bcanz","text":"","code":"ssd_hp_bcanz(x, conc = 1, nboot = 10000, min_pboot = 0.95)"},{"path":"/reference/ssd_hp_bcanz.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"BCANZ Hazard Proportion — ssd_hp_bcanz","text":"x object. conc numeric vector concentrations calculate hazard proportions . nboot count number bootstrap samples use estimate confidence limits. value 10,000 recommended official guidelines. min_pboot number 0 1 minimum proportion bootstrap samples must successfully fit (return likelihood) report confidence intervals.","code":""},{"path":"/reference/ssd_hp_bcanz.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"BCANZ Hazard Proportion — ssd_hp_bcanz","text":"tibble corresponding hazard concentrations.","code":""},{"path":[]},{"path":"/reference/ssd_hp_bcanz.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"BCANZ Hazard Proportion — ssd_hp_bcanz","text":"","code":"fits <- ssd_fit_bcanz(ssddata::ccme_boron) ssd_hp_bcanz(fits, nboot = 100) #> # A tibble: 1 × 11 #>   dist     conc   est    se   lcl   ucl    wt method     nboot pboot samples   #>   <chr>   <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <chr>      <dbl> <dbl> <I<list>> #> 1 average     1  3.90  2.84 0.393  10.9     1 parametric   100     1 <dbl [0]>"},{"path":"/reference/ssd_is_censored.html","id":null,"dir":"Reference","previous_headings":"","what":"Is Censored — ssd_is_censored","title":"Is Censored — ssd_is_censored","text":"Tests object censored data. Test data frame censored. Test fitdists object censored.","code":""},{"path":"/reference/ssd_is_censored.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Is Censored — ssd_is_censored","text":"","code":"ssd_is_censored(x, ...)  # S3 method for data.frame ssd_is_censored(x, left = \"Conc\", right = left, ...)  # S3 method for fitdists ssd_is_censored(x, ...)"},{"path":"/reference/ssd_is_censored.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Is Censored — ssd_is_censored","text":"x object. ... Unused. left string column data concentrations. right string column data right concentration values.","code":""},{"path":"/reference/ssd_is_censored.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Is Censored — ssd_is_censored","text":"flag indicating whether object censored.","code":""},{"path":"/reference/ssd_is_censored.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Is Censored — ssd_is_censored","text":"","code":"ssd_is_censored(ssddata::ccme_boron) #> [1] FALSE ssd_is_censored(data.frame(Conc = 1, right = 2), right = \"right\") #> [1] TRUE  fits <- ssd_fit_dists(ssddata::ccme_boron) ssd_is_censored(fits) #> [1] FALSE"},{"path":"/reference/ssd_match_moments.html","id":null,"dir":"Reference","previous_headings":"","what":"Match Moments — ssd_match_moments","title":"Match Moments — ssd_match_moments","text":"Gets named list values produce moment values (meanlog sdlog) distribution term.","code":""},{"path":"/reference/ssd_match_moments.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Match Moments — ssd_match_moments","text":"","code":"ssd_match_moments(   dists = ssd_dists_bcanz(),   meanlog = 1,   sdlog = 1,   nsim = 1e+05 )"},{"path":"/reference/ssd_match_moments.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Match Moments — ssd_match_moments","text":"dists character vector distribution names. meanlog mean log scale. sdlog standard deviation log scale. nsim positive whole number number simulations generate.","code":""},{"path":"/reference/ssd_match_moments.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Match Moments — ssd_match_moments","text":"named list values produce moment values distribution term.","code":""},{"path":[]},{"path":"/reference/ssd_match_moments.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Match Moments — ssd_match_moments","text":"","code":"moments <- ssd_match_moments() print(moments) #> $gamma #>    shape    scale  #> 1.479687 2.589063  #>  #> $lgumbel #> locationlog    scalelog  #>    0.534375    0.762500  #>  #> $llogis #> locationlog    scalelog  #>     0.96875     0.52500  #>  #> $lnorm #>   meanlog     sdlog  #> 0.9812500 0.9515625  #>  #> $lnorm_lnorm #>  meanlog1    sdlog1  meanlog2    sdlog2      pmix  #> 0.1409856 1.0659456 1.1849856 0.9799296 0.1487680  #>  #> $weibull #>    shape    scale  #> 1.352319 4.502075  #>  ssd_hc(moments) #> # A tibble: 6 × 9 #>   dist        proportion   est    se   lcl   ucl    wt nboot pboot #>   <chr>            <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <int> <dbl> #> 1 gamma             0.05 0.439    NA    NA    NA     1     0    NA #> 2 lgumbel           0.05 0.739    NA    NA    NA     1     0    NA #> 3 llogis            0.05 0.562    NA    NA    NA     1     0    NA #> 4 lnorm             0.05 0.558    NA    NA    NA     1     0    NA #> 5 lnorm_lnorm       0.05 0.469    NA    NA    NA     1     0    NA #> 6 weibull           0.05 0.501    NA    NA    NA     1     0    NA ssd_plot_cdf(moments)"},{"path":"/reference/ssd_p.html","id":null,"dir":"Reference","previous_headings":"","what":"Cumulative Distribution Function — ssd_pburrIII3","title":"Cumulative Distribution Function — ssd_pburrIII3","text":"Cumulative Distribution Function","code":""},{"path":"/reference/ssd_p.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cumulative Distribution Function — ssd_pburrIII3","text":"","code":"ssd_pburrIII3(   q,   shape1 = 1,   shape2 = 1,   scale = 1,   lower.tail = TRUE,   log.p = FALSE )  ssd_pgamma(q, shape = 1, scale = 1, lower.tail = TRUE, log.p = FALSE)  ssd_pgompertz(q, location = 1, shape = 1, lower.tail = TRUE, log.p = FALSE)  ssd_pinvpareto(q, shape = 3, scale = 1, lower.tail = TRUE, log.p = FALSE)  ssd_plgumbel(   q,   locationlog = 0,   scalelog = 1,   lower.tail = TRUE,   log.p = FALSE )  ssd_pllogis_llogis(   q,   locationlog1 = 0,   scalelog1 = 1,   locationlog2 = 1,   scalelog2 = 1,   pmix = 0.5,   lower.tail = TRUE,   log.p = FALSE )  ssd_pllogis(q, locationlog = 0, scalelog = 1, lower.tail = TRUE, log.p = FALSE)  ssd_plnorm_lnorm(   q,   meanlog1 = 0,   sdlog1 = 1,   meanlog2 = 1,   sdlog2 = 1,   pmix = 0.5,   lower.tail = TRUE,   log.p = FALSE )  ssd_plnorm(q, meanlog = 0, sdlog = 1, lower.tail = TRUE, log.p = FALSE)  ssd_pmulti(   q,   burrIII3.weight = 0,   burrIII3.shape1 = 1,   burrIII3.shape2 = 1,   burrIII3.scale = 1,   gamma.weight = 0,   gamma.shape = 1,   gamma.scale = 1,   gompertz.weight = 0,   gompertz.location = 1,   gompertz.shape = 1,   invpareto.weight = 0,   invpareto.shape = 3,   invpareto.scale = 1,   lgumbel.weight = 0,   lgumbel.locationlog = 0,   lgumbel.scalelog = 1,   llogis.weight = 0,   llogis.locationlog = 0,   llogis.scalelog = 1,   llogis_llogis.weight = 0,   llogis_llogis.locationlog1 = 0,   llogis_llogis.scalelog1 = 1,   llogis_llogis.locationlog2 = 1,   llogis_llogis.scalelog2 = 1,   llogis_llogis.pmix = 0.5,   lnorm.weight = 1,   lnorm.meanlog = 0,   lnorm.sdlog = 1,   lnorm_lnorm.weight = 0,   lnorm_lnorm.meanlog1 = 0,   lnorm_lnorm.sdlog1 = 1,   lnorm_lnorm.meanlog2 = 1,   lnorm_lnorm.sdlog2 = 1,   lnorm_lnorm.pmix = 0.5,   weibull.weight = 0,   weibull.shape = 1,   weibull.scale = 1,   lower.tail = TRUE,   log.p = FALSE )  ssd_pweibull(q, shape = 1, scale = 1, lower.tail = TRUE, log.p = FALSE)"},{"path":"/reference/ssd_p.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Cumulative Distribution Function — ssd_pburrIII3","text":"q vector quantiles. shape1 shape1 parameter. shape2 shape2 parameter. scale scale parameter. lower.tail logical; TRUE (default), probabilities P[X <= x], otherwise, P[X > x]. log.p logical; TRUE, probabilities p given log(p). shape shape parameter. location location parameter. locationlog location log scale parameter. scalelog scale log scale parameter. locationlog1 locationlog1 parameter. scalelog1 scalelog1 parameter. locationlog2 locationlog2 parameter. scalelog2 scalelog2 parameter. pmix Proportion mixture parameter. meanlog1 mean log scale parameter. sdlog1 standard deviation log scale parameter. meanlog2 mean log scale parameter. sdlog2 standard deviation log scale parameter. meanlog mean log scale parameter. sdlog standard deviation log scale parameter. burrIII3.weight weight parameter Burr III distribution. burrIII3.shape1 shape1 parameter Burr III distribution. burrIII3.shape2 shape2 parameter Burr III distribution. burrIII3.scale scale parameter Burr III distribution. gamma.weight weight parameter gamma distribution. gamma.shape shape parameter gamma distribution. gamma.scale scale parameter gamma distribution. gompertz.weight weight parameter Gompertz distribution. gompertz.location location parameter Gompertz distribution. gompertz.shape shape parameter Gompertz distribution. invpareto.weight weight parameter inverse Pareto distribution. invpareto.shape shape parameter inverse Pareto distribution. invpareto.scale scale parameter inverse Pareto distribution. lgumbel.weight weight parameter log-Gumbel distribution. lgumbel.locationlog location parameter log-Gumbel distribution. lgumbel.scalelog scale parameter log-Gumbel distribution. llogis.weight weight parameter log-logistic distribution. llogis.locationlog location parameter log-logistic distribution. llogis.scalelog scale parameter log-logistic distribution. llogis_llogis.weight weight parameter log-logistic log-logistic mixture distribution. llogis_llogis.locationlog1 locationlog1 parameter log-logistic log-logistic mixture distribution. llogis_llogis.scalelog1 scalelog1 parameter log-logistic log-logistic mixture distribution. llogis_llogis.locationlog2 locationlog2 parameter log-logistic log-logistic mixture distribution. llogis_llogis.scalelog2 scalelog2 parameter log-logistic log-logistic mixture distribution. llogis_llogis.pmix pmix parameter log-logistic log-logistic mixture distribution. lnorm.weight weight parameter log-normal distribution. lnorm.meanlog meanlog parameter log-normal distribution. lnorm.sdlog sdlog parameter log-normal distribution. lnorm_lnorm.weight weight parameter log-normal log-normal mixture distribution. lnorm_lnorm.meanlog1 meanlog1 parameter log-normal log-normal mixture distribution. lnorm_lnorm.sdlog1 sdlog1 parameter log-normal log-normal mixture distribution. lnorm_lnorm.meanlog2 meanlog2 parameter log-normal log-normal mixture distribution. lnorm_lnorm.sdlog2 sdlog2 parameter log-normal log-normal mixture distribution. lnorm_lnorm.pmix pmix parameter log-normal log-normal mixture distribution. weibull.weight weight parameter Weibull distribution. weibull.shape shape parameter Weibull distribution. weibull.scale scale parameter Weibull distribution.","code":""},{"path":"/reference/ssd_p.html","id":"functions","dir":"Reference","previous_headings":"","what":"Functions","title":"Cumulative Distribution Function — ssd_pburrIII3","text":"ssd_pburrIII3(): Cumulative Distribution Function BurrIII Distribution ssd_pgamma(): Cumulative Distribution Function Gamma Distribution ssd_pgompertz(): Cumulative Distribution Function Gompertz Distribution ssd_pinvpareto(): Cumulative Distribution Function Inverse Pareto Distribution ssd_plgumbel(): Cumulative Distribution Function Log-Gumbel Distribution ssd_pllogis_llogis(): Cumulative Distribution Function Log-Logistic/Log-Logistic Mixture Distribution ssd_pllogis(): Cumulative Distribution Function Log-Logistic Distribution ssd_plnorm_lnorm(): Cumulative Distribution Function Log-Normal/Log-Normal Mixture Distribution ssd_plnorm(): Cumulative Distribution Function Log-Normal Distribution ssd_pmulti(): Cumulative Distribution Function Multiple Distributions ssd_pweibull(): Cumulative Distribution Function Weibull Distribution","code":""},{"path":[]},{"path":"/reference/ssd_p.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Cumulative Distribution Function — ssd_pburrIII3","text":"","code":"ssd_pburrIII3(1) #> [1] 0.5  ssd_pgamma(1) #> [1] 0.6321206  ssd_pgompertz(1) #> [1] 0.8206259  ssd_pinvpareto(1) #> [1] 1  ssd_plgumbel(1) #> [1] 0.3678794  ssd_pllogis_llogis(1) #> [1] 0.3844707  ssd_pllogis(1) #> [1] 0.5  ssd_plnorm_lnorm(1) #> [1] 0.3293276  ssd_plnorm(1) #> [1] 0.5  # multi  ssd_pmulti(1) #> [1] 0.5  ssd_pweibull(1) #> [1] 0.6321206"},{"path":"/reference/ssd_pal.html","id":null,"dir":"Reference","previous_headings":"","what":"Color-blind Palette for SSD Plots — ssd_pal","title":"Color-blind Palette for SSD Plots — ssd_pal","text":"Color-blind Palette SSD Plots","code":""},{"path":"/reference/ssd_pal.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Color-blind Palette for SSD Plots — ssd_pal","text":"","code":"ssd_pal()"},{"path":"/reference/ssd_pal.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Color-blind Palette for SSD Plots — ssd_pal","text":"character vector color blind palette 8 colors.","code":""},{"path":[]},{"path":"/reference/ssd_pal.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Color-blind Palette for SSD Plots — ssd_pal","text":"","code":"ssd_pal() #> function (n)  #> { #>     n_values <- length(values) #>     if (n > n_values) { #>         cli::cli_warn(\"This manual palette can handle a maximum of {n_values} values. You have supplied {n}\") #>     } #>     unname(values[seq_len(n)]) #> } #> <bytecode: 0x5606234249b0> #> <environment: 0x56061b55bb18> #> attr(,\"max_n\") #> [1] 8"},{"path":"/reference/ssd_plot.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot Species Sensitivity Data and Distributions — ssd_plot","title":"Plot Species Sensitivity Data and Distributions — ssd_plot","text":"Plots species sensitivity data distributions.","code":""},{"path":"/reference/ssd_plot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot Species Sensitivity Data and Distributions — ssd_plot","text":"","code":"ssd_plot(   data,   pred,   left = \"Conc\",   right = left,   label = NULL,   shape = NULL,   color = NULL,   size = 2.5,   linetype = NULL,   linecolor = NULL,   xlab = \"Concentration\",   ylab = \"Species Affected\",   ci = TRUE,   ribbon = TRUE,   hc = 0.05,   shift_x = 3,   add_x = 0,   bounds = c(left = 1, right = 1),   trans = \"log10\",   xbreaks = waiver() )"},{"path":"/reference/ssd_plot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot Species Sensitivity Data and Distributions — ssd_plot","text":"data data frame. pred data frame predictions. left string column data concentrations. right string column data right concentration values. label string column data labels. shape string column data shape aesthetic. color string column data color aesthetic. size number size labels. linetype string column pred use linetype. linecolor string column pred use line color. xlab string x-axis label. ylab string x-axis label. ci flag specifying whether estimate confidence intervals (bootstrapping). ribbon flag indicating whether plot confidence interval grey ribbon opposed green solid lines. hc value 0 1 indicating proportion hazard concentration (NULL). shift_x value multiply label x values (adding add_x). add_x value add label x values (multiplying shift_x). bounds named non-negative numeric vector left right bounds uncensored missing (0 Inf) data terms orders magnitude relative extremes non-missing values. trans string transformation use default \"log10\". xbreaks x-axis breaks one : NULL breaks waiver() default breaks numeric vector positions","code":""},{"path":[]},{"path":"/reference/ssd_plot.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot Species Sensitivity Data and Distributions — ssd_plot","text":"","code":"ssd_plot(ssddata::ccme_boron, boron_pred, label = \"Species\", shape = \"Group\")"},{"path":"/reference/ssd_plot_cdf.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot Cumulative Distribution Function (CDF) — ssd_plot_cdf","title":"Plot Cumulative Distribution Function (CDF) — ssd_plot_cdf","text":"Generic function plots cumulative distribution function (CDF).","code":""},{"path":"/reference/ssd_plot_cdf.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot Cumulative Distribution Function (CDF) — ssd_plot_cdf","text":"","code":"ssd_plot_cdf(x, ...)  # S3 method for fitdists ssd_plot_cdf(x, average = FALSE, delta = 9.21, ...)  # S3 method for list ssd_plot_cdf(x, ...)"},{"path":"/reference/ssd_plot_cdf.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot Cumulative Distribution Function (CDF) — ssd_plot_cdf","text":"x object. ... Additional arguments passed ssd_plot(). average flag specifying whether provide model averaged values opposed value distribution NA provides model averaged individual values. delta non-negative number specifying maximum absolute AIC difference cutoff. Distributions absolute AIC difference greater delta excluded calculations.","code":""},{"path":"/reference/ssd_plot_cdf.html","id":"methods-by-class-","dir":"Reference","previous_headings":"","what":"Methods (by class)","title":"Plot Cumulative Distribution Function (CDF) — ssd_plot_cdf","text":"ssd_plot_cdf(fitdists): Plot CDF fitdists object ssd_plot_cdf(list): Plot CDF named list distributional parameter values","code":""},{"path":[]},{"path":"/reference/ssd_plot_cdf.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot Cumulative Distribution Function (CDF) — ssd_plot_cdf","text":"","code":"fits <- ssd_fit_dists(ssddata::ccme_boron) ssd_plot_cdf(fits)  ssd_plot_cdf(fits, average = NA)   ssd_plot_cdf(list(   llogis = c(locationlog = 2, scalelog = 1),   lnorm = c(meanlog = 2, sdlog = 2) ))"},{"path":"/reference/ssd_plot_cf.html","id":null,"dir":"Reference","previous_headings":"","what":"Cullen and Frey Plot  — ssd_plot_cf","title":"Cullen and Frey Plot  — ssd_plot_cf","text":"Plots Cullen Frey graph skewness kurtosis non-censored data.","code":""},{"path":"/reference/ssd_plot_cf.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cullen and Frey Plot  — ssd_plot_cf","text":"","code":"ssd_plot_cf(data, left = \"Conc\")"},{"path":"/reference/ssd_plot_cf.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Cullen and Frey Plot  — ssd_plot_cf","text":"data data frame. left string column data concentrations.","code":""},{"path":"/reference/ssd_plot_cf.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Cullen and Frey Plot  — ssd_plot_cf","text":"Soft deprecated direct call fitdistrplus::descdist().","code":""},{"path":"/reference/ssd_plot_data.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot Species Sensitivity Data — ssd_plot_data","title":"Plot Species Sensitivity Data — ssd_plot_data","text":"Plots species sensitivity data.","code":""},{"path":"/reference/ssd_plot_data.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot Species Sensitivity Data — ssd_plot_data","text":"","code":"ssd_plot_data(   data,   left = \"Conc\",   right = left,   label = NULL,   shape = NULL,   color = NULL,   size = 2.5,   xlab = \"Concentration\",   ylab = \"Species Affected\",   shift_x = 3,   add_x = 0,   bounds = c(left = 1, right = 1),   trans = \"log10\",   xbreaks = waiver() )"},{"path":"/reference/ssd_plot_data.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot Species Sensitivity Data — ssd_plot_data","text":"data data frame. left string column data concentrations. right string column data right concentration values. label string column data labels. shape string column data shape aesthetic. color string column data color aesthetic. size number size labels. xlab string x-axis label. ylab string x-axis label. shift_x value multiply label x values (adding add_x). add_x value add label x values (multiplying shift_x). bounds named non-negative numeric vector left right bounds uncensored missing (0 Inf) data terms orders magnitude relative extremes non-missing values. trans string transformation use default \"log10\". xbreaks x-axis breaks one : NULL breaks waiver() default breaks numeric vector positions","code":""},{"path":[]},{"path":"/reference/ssd_plot_data.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot Species Sensitivity Data — ssd_plot_data","text":"","code":"ssd_plot_data(ssddata::ccme_boron, label = \"Species\", shape = \"Group\")"},{"path":"/reference/ssd_q.html","id":null,"dir":"Reference","previous_headings":"","what":"Quantile Function — ssd_qburrIII3","title":"Quantile Function — ssd_qburrIII3","text":"Quantile Function","code":""},{"path":"/reference/ssd_q.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Quantile Function — ssd_qburrIII3","text":"","code":"ssd_qburrIII3(   p,   shape1 = 1,   shape2 = 1,   scale = 1,   lower.tail = TRUE,   log.p = FALSE )  ssd_qgamma(p, shape = 1, scale = 1, lower.tail = TRUE, log.p = FALSE)  ssd_qgompertz(p, location = 1, shape = 1, lower.tail = TRUE, log.p = FALSE)  ssd_qinvpareto(p, shape = 3, scale = 1, lower.tail = TRUE, log.p = FALSE)  ssd_qlgumbel(   p,   locationlog = 0,   scalelog = 1,   lower.tail = TRUE,   log.p = FALSE )  ssd_qllogis_llogis(   p,   locationlog1 = 0,   scalelog1 = 1,   locationlog2 = 1,   scalelog2 = 1,   pmix = 0.5,   lower.tail = TRUE,   log.p = FALSE )  ssd_qllogis(p, locationlog = 0, scalelog = 1, lower.tail = TRUE, log.p = FALSE)  ssd_qlnorm_lnorm(   p,   meanlog1 = 0,   sdlog1 = 1,   meanlog2 = 1,   sdlog2 = 1,   pmix = 0.5,   lower.tail = TRUE,   log.p = FALSE )  ssd_qlnorm(p, meanlog = 0, sdlog = 1, lower.tail = TRUE, log.p = FALSE)  ssd_qmulti(   p,   burrIII3.weight = 0,   burrIII3.shape1 = 1,   burrIII3.shape2 = 1,   burrIII3.scale = 1,   gamma.weight = 0,   gamma.shape = 1,   gamma.scale = 1,   gompertz.weight = 0,   gompertz.location = 1,   gompertz.shape = 1,   invpareto.weight = 0,   invpareto.shape = 3,   invpareto.scale = 1,   lgumbel.weight = 0,   lgumbel.locationlog = 0,   lgumbel.scalelog = 1,   llogis.weight = 0,   llogis.locationlog = 0,   llogis.scalelog = 1,   llogis_llogis.weight = 0,   llogis_llogis.locationlog1 = 0,   llogis_llogis.scalelog1 = 1,   llogis_llogis.locationlog2 = 1,   llogis_llogis.scalelog2 = 1,   llogis_llogis.pmix = 0.5,   lnorm.weight = 1,   lnorm.meanlog = 0,   lnorm.sdlog = 1,   lnorm_lnorm.weight = 0,   lnorm_lnorm.meanlog1 = 0,   lnorm_lnorm.sdlog1 = 1,   lnorm_lnorm.meanlog2 = 1,   lnorm_lnorm.sdlog2 = 1,   lnorm_lnorm.pmix = 0.5,   weibull.weight = 0,   weibull.shape = 1,   weibull.scale = 1,   lower.tail = TRUE,   log.p = FALSE )  ssd_qweibull(p, shape = 1, scale = 1, lower.tail = TRUE, log.p = FALSE)"},{"path":"/reference/ssd_q.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Quantile Function — ssd_qburrIII3","text":"p vector probabilities. shape1 shape1 parameter. shape2 shape2 parameter. scale scale parameter. lower.tail logical; TRUE (default), probabilities P[X <= x], otherwise, P[X > x]. log.p logical; TRUE, probabilities p given log(p). shape shape parameter. location location parameter. locationlog location log scale parameter. scalelog scale log scale parameter. locationlog1 locationlog1 parameter. scalelog1 scalelog1 parameter. locationlog2 locationlog2 parameter. scalelog2 scalelog2 parameter. pmix Proportion mixture parameter. meanlog1 mean log scale parameter. sdlog1 standard deviation log scale parameter. meanlog2 mean log scale parameter. sdlog2 standard deviation log scale parameter. meanlog mean log scale parameter. sdlog standard deviation log scale parameter. burrIII3.weight weight parameter Burr III distribution. burrIII3.shape1 shape1 parameter Burr III distribution. burrIII3.shape2 shape2 parameter Burr III distribution. burrIII3.scale scale parameter Burr III distribution. gamma.weight weight parameter gamma distribution. gamma.shape shape parameter gamma distribution. gamma.scale scale parameter gamma distribution. gompertz.weight weight parameter Gompertz distribution. gompertz.location location parameter Gompertz distribution. gompertz.shape shape parameter Gompertz distribution. invpareto.weight weight parameter inverse Pareto distribution. invpareto.shape shape parameter inverse Pareto distribution. invpareto.scale scale parameter inverse Pareto distribution. lgumbel.weight weight parameter log-Gumbel distribution. lgumbel.locationlog location parameter log-Gumbel distribution. lgumbel.scalelog scale parameter log-Gumbel distribution. llogis.weight weight parameter log-logistic distribution. llogis.locationlog location parameter log-logistic distribution. llogis.scalelog scale parameter log-logistic distribution. llogis_llogis.weight weight parameter log-logistic log-logistic mixture distribution. llogis_llogis.locationlog1 locationlog1 parameter log-logistic log-logistic mixture distribution. llogis_llogis.scalelog1 scalelog1 parameter log-logistic log-logistic mixture distribution. llogis_llogis.locationlog2 locationlog2 parameter log-logistic log-logistic mixture distribution. llogis_llogis.scalelog2 scalelog2 parameter log-logistic log-logistic mixture distribution. llogis_llogis.pmix pmix parameter log-logistic log-logistic mixture distribution. lnorm.weight weight parameter log-normal distribution. lnorm.meanlog meanlog parameter log-normal distribution. lnorm.sdlog sdlog parameter log-normal distribution. lnorm_lnorm.weight weight parameter log-normal log-normal mixture distribution. lnorm_lnorm.meanlog1 meanlog1 parameter log-normal log-normal mixture distribution. lnorm_lnorm.sdlog1 sdlog1 parameter log-normal log-normal mixture distribution. lnorm_lnorm.meanlog2 meanlog2 parameter log-normal log-normal mixture distribution. lnorm_lnorm.sdlog2 sdlog2 parameter log-normal log-normal mixture distribution. lnorm_lnorm.pmix pmix parameter log-normal log-normal mixture distribution. weibull.weight weight parameter Weibull distribution. weibull.shape shape parameter Weibull distribution. weibull.scale scale parameter Weibull distribution.","code":""},{"path":"/reference/ssd_q.html","id":"functions","dir":"Reference","previous_headings":"","what":"Functions","title":"Quantile Function — ssd_qburrIII3","text":"ssd_qburrIII3(): Quantile Function BurrIII Distribution ssd_qgamma(): Quantile Function Gamma Distribution ssd_qgompertz(): Quantile Function Gompertz Distribution ssd_qinvpareto(): Quantile Function Inverse Pareto Distribution ssd_qlgumbel(): Quantile Function Log-Gumbel Distribution ssd_qllogis_llogis(): Cumulative Distribution Function Log-Logistic/Log-Logistic Mixture Distribution ssd_qllogis(): Cumulative Distribution Function Log-Logistic Distribution ssd_qlnorm_lnorm(): Cumulative Distribution Function Log-Normal/Log-Normal Mixture Distribution ssd_qlnorm(): Cumulative Distribution Function Log-Normal Distribution ssd_qmulti(): Quantile Function Multiple Distributions ssd_qweibull(): Cumulative Distribution Function Weibull Distribution","code":""},{"path":[]},{"path":"/reference/ssd_q.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Quantile Function — ssd_qburrIII3","text":"","code":"ssd_qburrIII3(0.5) #> [1] 1  ssd_qgamma(0.5) #> [1] 0.6931472  ssd_qgompertz(0.5) #> [1] 0.526589  ssd_qinvpareto(0.5) #> [1] 0.7937005  ssd_qlgumbel(0.5) #> [1] 1.442695  ssd_qllogis_llogis(0.5) #> [1] 1.648721  ssd_qllogis(0.5) #> [1] 1  ssd_qlnorm_lnorm(0.5) #> [1] 1.648721  ssd_qlnorm(0.5) #> [1] 1  # multi  ssd_qmulti(0.5) #> [1] 1  ssd_qweibull(0.5) #> [1] 0.6931472"},{"path":"/reference/ssd_r.html","id":null,"dir":"Reference","previous_headings":"","what":"Random Number Generation — ssd_rburrIII3","title":"Random Number Generation — ssd_rburrIII3","text":"Random Number Generation","code":""},{"path":"/reference/ssd_r.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Random Number Generation — ssd_rburrIII3","text":"","code":"ssd_rburrIII3(n, shape1 = 1, shape2 = 1, scale = 1, chk = TRUE)  ssd_rgamma(n, shape = 1, scale = 1, chk = TRUE)  ssd_rgompertz(n, location = 1, shape = 1, chk = TRUE)  ssd_rinvpareto(n, shape = 3, scale = 1, chk = TRUE)  ssd_rlgumbel(n, locationlog = 0, scalelog = 1, chk = TRUE)  ssd_rllogis_llogis(   n,   locationlog1 = 0,   scalelog1 = 1,   locationlog2 = 1,   scalelog2 = 1,   pmix = 0.5,   chk = TRUE )  ssd_rllogis(n, locationlog = 0, scalelog = 1, chk = TRUE)  ssd_rlnorm_lnorm(   n,   meanlog1 = 0,   sdlog1 = 1,   meanlog2 = 1,   sdlog2 = 1,   pmix = 0.5,   chk = TRUE )  ssd_rlnorm(n, meanlog = 0, sdlog = 1, chk = TRUE)  ssd_rmulti(   n,   burrIII3.weight = 0,   burrIII3.shape1 = 1,   burrIII3.shape2 = 1,   burrIII3.scale = 1,   gamma.weight = 0,   gamma.shape = 1,   gamma.scale = 1,   gompertz.weight = 0,   gompertz.location = 1,   gompertz.shape = 1,   invpareto.weight = 0,   invpareto.shape = 3,   invpareto.scale = 1,   lgumbel.weight = 0,   lgumbel.locationlog = 0,   lgumbel.scalelog = 1,   llogis.weight = 0,   llogis.locationlog = 0,   llogis.scalelog = 1,   llogis_llogis.weight = 0,   llogis_llogis.locationlog1 = 0,   llogis_llogis.scalelog1 = 1,   llogis_llogis.locationlog2 = 1,   llogis_llogis.scalelog2 = 1,   llogis_llogis.pmix = 0.5,   lnorm.weight = 1,   lnorm.meanlog = 0,   lnorm.sdlog = 1,   lnorm_lnorm.weight = 0,   lnorm_lnorm.meanlog1 = 0,   lnorm_lnorm.sdlog1 = 1,   lnorm_lnorm.meanlog2 = 1,   lnorm_lnorm.sdlog2 = 1,   lnorm_lnorm.pmix = 0.5,   weibull.weight = 0,   weibull.shape = 1,   weibull.scale = 1,   chk = TRUE )  ssd_rweibull(n, shape = 1, scale = 1, chk = TRUE)"},{"path":"/reference/ssd_r.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Random Number Generation — ssd_rburrIII3","text":"n positive number observations. shape1 shape1 parameter. shape2 shape2 parameter. scale scale parameter. chk flag specifying whether check arguments. shape shape parameter. location location parameter. locationlog location log scale parameter. scalelog scale log scale parameter. locationlog1 locationlog1 parameter. scalelog1 scalelog1 parameter. locationlog2 locationlog2 parameter. scalelog2 scalelog2 parameter. pmix Proportion mixture parameter. meanlog1 mean log scale parameter. sdlog1 standard deviation log scale parameter. meanlog2 mean log scale parameter. sdlog2 standard deviation log scale parameter. meanlog mean log scale parameter. sdlog standard deviation log scale parameter. burrIII3.weight weight parameter Burr III distribution. burrIII3.shape1 shape1 parameter Burr III distribution. burrIII3.shape2 shape2 parameter Burr III distribution. burrIII3.scale scale parameter Burr III distribution. gamma.weight weight parameter gamma distribution. gamma.shape shape parameter gamma distribution. gamma.scale scale parameter gamma distribution. gompertz.weight weight parameter Gompertz distribution. gompertz.location location parameter Gompertz distribution. gompertz.shape shape parameter Gompertz distribution. invpareto.weight weight parameter inverse Pareto distribution. invpareto.shape shape parameter inverse Pareto distribution. invpareto.scale scale parameter inverse Pareto distribution. lgumbel.weight weight parameter log-Gumbel distribution. lgumbel.locationlog location parameter log-Gumbel distribution. lgumbel.scalelog scale parameter log-Gumbel distribution. llogis.weight weight parameter log-logistic distribution. llogis.locationlog location parameter log-logistic distribution. llogis.scalelog scale parameter log-logistic distribution. llogis_llogis.weight weight parameter log-logistic log-logistic mixture distribution. llogis_llogis.locationlog1 locationlog1 parameter log-logistic log-logistic mixture distribution. llogis_llogis.scalelog1 scalelog1 parameter log-logistic log-logistic mixture distribution. llogis_llogis.locationlog2 locationlog2 parameter log-logistic log-logistic mixture distribution. llogis_llogis.scalelog2 scalelog2 parameter log-logistic log-logistic mixture distribution. llogis_llogis.pmix pmix parameter log-logistic log-logistic mixture distribution. lnorm.weight weight parameter log-normal distribution. lnorm.meanlog meanlog parameter log-normal distribution. lnorm.sdlog sdlog parameter log-normal distribution. lnorm_lnorm.weight weight parameter log-normal log-normal mixture distribution. lnorm_lnorm.meanlog1 meanlog1 parameter log-normal log-normal mixture distribution. lnorm_lnorm.sdlog1 sdlog1 parameter log-normal log-normal mixture distribution. lnorm_lnorm.meanlog2 meanlog2 parameter log-normal log-normal mixture distribution. lnorm_lnorm.sdlog2 sdlog2 parameter log-normal log-normal mixture distribution. lnorm_lnorm.pmix pmix parameter log-normal log-normal mixture distribution. weibull.weight weight parameter Weibull distribution. weibull.shape shape parameter Weibull distribution. weibull.scale scale parameter Weibull distribution.","code":""},{"path":"/reference/ssd_r.html","id":"functions","dir":"Reference","previous_headings":"","what":"Functions","title":"Random Number Generation — ssd_rburrIII3","text":"ssd_rburrIII3(): Random Generation BurrIII Distribution ssd_rgamma(): Random Generation Gamma Distribution ssd_rgompertz(): Random Generation Gompertz Distribution ssd_rinvpareto(): Random Generation Inverse Pareto Distribution ssd_rlgumbel(): Random Generation log-Gumbel Distribution ssd_rllogis_llogis(): Random Generation Log-Logistic/Log-Logistic Mixture Distribution ssd_rllogis(): Random Generation Log-Logistic Distribution ssd_rlnorm_lnorm(): Random Generation Log-Normal/Log-Normal Mixture Distribution ssd_rlnorm(): Random Generation Log-Normal Distribution ssd_rmulti(): Random Generation Multiple Distributions ssd_rweibull(): Random Generation Weibull Distribution","code":""},{"path":[]},{"path":"/reference/ssd_r.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Random Number Generation — ssd_rburrIII3","text":"","code":"set.seed(50) hist(ssd_rburrIII3(10000), breaks = 1000)   set.seed(50) hist(ssd_rgamma(10000), breaks = 1000)   set.seed(50) hist(ssd_rgompertz(10000), breaks = 1000)   set.seed(50) hist(ssd_rinvpareto(10000), breaks = 1000)   set.seed(50) hist(ssd_rlgumbel(10000), breaks = 1000)   set.seed(50) hist(ssd_rllogis_llogis(10000), breaks = 1000)   set.seed(50) hist(ssd_rllogis(10000), breaks = 1000)   set.seed(50) hist(ssd_rlnorm_lnorm(10000), breaks = 1000)   set.seed(50) hist(ssd_rlnorm(10000), breaks = 1000)   # multi  set.seed(50) hist(ssd_rmulti(1000), breaks = 100)   set.seed(50) hist(ssd_rweibull(10000), breaks = 1000)"},{"path":"/reference/ssd_sort_data.html","id":null,"dir":"Reference","previous_headings":"","what":"Sort Species Sensitivity Data — ssd_sort_data","title":"Sort Species Sensitivity Data — ssd_sort_data","text":"Sorts Species Sensitivity Data empirical cumulative density (ECD).","code":""},{"path":"/reference/ssd_sort_data.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Sort Species Sensitivity Data — ssd_sort_data","text":"","code":"ssd_sort_data(data, left = \"Conc\", right = left)"},{"path":"/reference/ssd_sort_data.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Sort Species Sensitivity Data — ssd_sort_data","text":"data data frame. left string column data concentrations. right string column data right concentration values.","code":""},{"path":"/reference/ssd_sort_data.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Sort Species Sensitivity Data — ssd_sort_data","text":"data sorted empirical cumulative density.","code":""},{"path":"/reference/ssd_sort_data.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Sort Species Sensitivity Data — ssd_sort_data","text":"Useful sorting data using geom_ssdpoint() geom_ssdsegment() construct plots censored data stat = identity ensure order various components.","code":""},{"path":[]},{"path":"/reference/ssd_sort_data.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Sort Species Sensitivity Data — ssd_sort_data","text":"","code":"ssd_sort_data(ssddata::ccme_boron) #> # A tibble: 28 × 5 #>    Chemical Species                Conc Group        Units #>    <chr>    <chr>                 <dbl> <fct>        <chr> #>  1 Boron    Elodea canadensis       1   Plant        mg/L  #>  2 Boron    Spirodella polyrrhiza   1.8 Plant        mg/L  #>  3 Boron    Chlorella pyrenoidosa   2   Plant        mg/L  #>  4 Boron    Oncorhynchus mykiss     2.1 Fish         mg/L  #>  5 Boron    Ictalurus punctatus     2.4 Fish         mg/L  #>  6 Boron    Phragmites australis    4   Plant        mg/L  #>  7 Boron    Micropterus salmoides   4.1 Fish         mg/L  #>  8 Boron    Chlorella vulgaris      5.2 Plant        mg/L  #>  9 Boron    Daphnia magna           6   Invertebrate mg/L  #> 10 Boron    Brachydanio rerio      10   Fish         mg/L  #> # ℹ 18 more rows"},{"path":"/reference/ssd_wqg_bc.html","id":null,"dir":"Reference","previous_headings":"","what":"Water Quality Guideline for British Columbia — ssd_wqg_bc","title":"Water Quality Guideline for British Columbia — ssd_wqg_bc","text":"Calculates 5% Hazard Concentration British Columbia rescaling data based log-logistic, log-normal gamma distributions using parametric bootstrap AICc model averaging.","code":""},{"path":"/reference/ssd_wqg_bc.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Water Quality Guideline for British Columbia — ssd_wqg_bc","text":"","code":"ssd_wqg_bc(data, left = \"Conc\")"},{"path":"/reference/ssd_wqg_bc.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Water Quality Guideline for British Columbia — ssd_wqg_bc","text":"data data frame. left string column data concentrations.","code":""},{"path":"/reference/ssd_wqg_bc.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Water Quality Guideline for British Columbia — ssd_wqg_bc","text":"tibble 5% hazard concentration 95% confidence intervals.","code":""},{"path":"/reference/ssd_wqg_bc.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Water Quality Guideline for British Columbia — ssd_wqg_bc","text":"Returns tibble model averaged 5% hazard concentration standard errors, 95% lower upper confidence limits number bootstrap samples well proportion bootstrap samples successfully returned likelihood (convergence bootstrap sample required).","code":""},{"path":[]},{"path":"/reference/ssd_wqg_bc.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Water Quality Guideline for British Columbia — ssd_wqg_bc","text":"","code":"if (FALSE) { ssd_wqg_bc(ssddata::ccme_boron) }"},{"path":"/reference/ssd_wqg_burrlioz.html","id":null,"dir":"Reference","previous_headings":"","what":"Water Quality Guideline for Burrlioz — ssd_wqg_burrlioz","title":"Water Quality Guideline for Burrlioz — ssd_wqg_burrlioz","text":"Calculates 5% Hazard Concentration (rescaling data) using approach Burrlioz based 10,000 non-parametric bootstrap samples.","code":""},{"path":"/reference/ssd_wqg_burrlioz.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Water Quality Guideline for Burrlioz — ssd_wqg_burrlioz","text":"","code":"ssd_wqg_burrlioz(data, left = \"Conc\")"},{"path":"/reference/ssd_wqg_burrlioz.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Water Quality Guideline for Burrlioz — ssd_wqg_burrlioz","text":"data data frame. left string column data concentrations.","code":""},{"path":"/reference/ssd_wqg_burrlioz.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Water Quality Guideline for Burrlioz — ssd_wqg_burrlioz","text":"tibble 5% hazard concentration 95% confidence intervals.","code":""},{"path":"/reference/ssd_wqg_burrlioz.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Water Quality Guideline for Burrlioz — ssd_wqg_burrlioz","text":"Returns tibble model averaged 5% hazard concentration standard errors, 95% lower upper confidence limits number bootstrap samples well proportion bootstrap samples successfully returned likelihood (convergence bootstrap sample required).","code":""},{"path":[]},{"path":"/reference/ssd_wqg_burrlioz.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Water Quality Guideline for Burrlioz — ssd_wqg_burrlioz","text":"","code":"if (FALSE) { ssd_wqg_burrlioz(ssddata::ccme_boron) }"},{"path":"/reference/ssdtools-ggproto.html","id":null,"dir":"Reference","previous_headings":"","what":"ggproto Classes for Plotting Species Sensitivity Data and Distributions — ssdtools-ggproto","title":"ggproto Classes for Plotting Species Sensitivity Data and Distributions — ssdtools-ggproto","text":"ggproto Classes Plotting Species Sensitivity Data Distributions","code":""},{"path":"/reference/ssdtools-ggproto.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"ggproto Classes for Plotting Species Sensitivity Data and Distributions — ssdtools-ggproto","text":"","code":"StatSsdpoint  StatSsdsegment  GeomSsdpoint  GeomSsdsegment  GeomHcintersect  GeomXribbon"},{"path":"/reference/ssdtools-ggproto.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"ggproto Classes for Plotting Species Sensitivity Data and Distributions — ssdtools-ggproto","text":"object class StatSsdpoint (inherits Stat, ggproto, gg) length 4. object class StatSsdsegment (inherits Stat, ggproto, gg) length 4. object class GeomSsdpoint (inherits GeomPoint, Geom, ggproto, gg) length 1. object class GeomSsdsegment (inherits GeomSegment, Geom, ggproto, gg) length 1. object class GeomHcintersect (inherits Geom, ggproto, gg) length 5. object class GeomXribbon (inherits Geom, ggproto, gg) length 6.","code":""},{"path":[]},{"path":"/reference/ssdtools-package.html","id":null,"dir":"Reference","previous_headings":"","what":"ssdtools: Species Sensitivity Distributions — ssdtools-package","title":"ssdtools: Species Sensitivity Distributions — ssdtools-package","text":"Species sensitivity distributions cumulative probability distributions fitted toxicity concentrations different species described Posthuma et al.(2001) <isbn:9781566705783>. ssdtools package uses Maximum Likelihood fit distributions gamma, log-logistic, log-normal log-normal log-normal mixture. Multiple distributions can averaged using Akaike Information Criteria. Confidence intervals hazard concentrations proportions produced parametric bootstrapping.","code":""},{"path":[]},{"path":"/reference/ssdtools-package.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"ssdtools: Species Sensitivity Distributions — ssdtools-package","text":"Maintainer: Joe Thorley joe@poissonconsulting.ca (ORCID) Authors: Rebecca Fisher R.Fisher@aims.gov.au David Fox david.fox@environmetrics.net.au Carl Schwarz contributors: Angeline Tillmanns [contributor] Seb Dalgarno seb@poissonconsulting.ca (ORCID) [contributor] Kathleen McTavish [contributor] Heather Thompson [contributor] Doug Spry [contributor] Rick van Dam [contributor] Graham Batley [contributor] Yulia Cuthbertson [contributor] Tony Bigwood [contributor] Michael Antenucci [contributor] Ali Azizishirazi [contributor] Nadine Hussein nadine@poissonconsulting.ca (ORCID) [contributor] Sarah Lyons sarah@poissonconsulting.ca (ORCID) [contributor] Stephanie Hazlitt [contributor] Hadley Wickham [contributor] Sergio Ibarra Espinosa [contributor] Andy Teucher [contributor] Emilie Doussantousse [contributor] Nan-Hung Hsieh [contributor] Province British Columbia [funder, copyright holder] Environment Climate Change Canada [funder, copyright holder] Australian Government Department Climate Change, Energy, Environment Water [funder, copyright holder]","code":""},{"path":"/reference/stat_ssd.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot Species Sensitivity Data  — stat_ssd","title":"Plot Species Sensitivity Data  — stat_ssd","text":"Uses empirical cumulative density/distribution visualize species sensitivity data.","code":""},{"path":"/reference/stat_ssd.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot Species Sensitivity Data  — stat_ssd","text":"","code":"stat_ssd(   mapping = NULL,   data = NULL,   geom = \"point\",   position = \"identity\",   ...,   na.rm = FALSE,   show.legend = NA,   inherit.aes = TRUE )"},{"path":"/reference/stat_ssd.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot Species Sensitivity Data  — stat_ssd","text":"mapping Set aesthetic mappings created aes(). specified inherit.aes = TRUE (default), combined default mapping top level plot. must supply mapping plot mapping. data data displayed layer. three options: NULL, default, data inherited plot data specified call ggplot(). data.frame, object, override plot data. objects fortified produce data frame. See fortify() variables created. function called single argument, plot data. return value must data.frame, used layer data. function can created formula (e.g. ~ head(.x, 10)). geom geometric object use display data layer. using stat_*() function construct layer, geom argument can used override default coupling stats geoms. geom argument accepts following: Geom ggproto subclass, example GeomPoint. string naming geom. give geom string, strip function name geom_ prefix. example, use geom_point(), give geom \"point\". information ways specify geom, see layer geom documentation. position position adjustment use data layer. can used various ways, including prevent overplotting improving display. position argument accepts following: result calling position function, position_jitter(). method allows passing extra arguments position. string naming position adjustment. give position string, strip function name position_ prefix. example, use position_jitter(), give position \"jitter\". information ways specify position, see layer position documentation. ... arguments passed layer()'s params argument. arguments broadly fall one 4 categories . Notably, arguments position argument, aesthetics required can passed .... Unknown arguments part 4 categories ignored. Static aesthetics mapped scale, fixed value apply layer whole. example, colour = \"red\" linewidth = 3. geom's documentation Aesthetics section lists available options. 'required' aesthetics passed params. Please note passing unmapped aesthetics vectors technically possible, order required length guaranteed parallel input data. constructing layer using stat_*() function, ... argument can used pass parameters geom part layer. example stat_density(geom = \"area\", outline.type = \"\"). geom's documentation lists parameters can accept. Inversely, constructing layer using geom_*() function, ... argument can used pass parameters stat part layer. example geom_area(stat = \"density\", adjust = 0.5). stat's documentation lists parameters can accept. key_glyph argument layer() may also passed .... can one functions described key glyphs, change display layer legend. na.rm FALSE, default, missing values removed warning. TRUE, missing values silently removed. show.legend logical. layer included legends? NA, default, includes aesthetics mapped. FALSE never includes, TRUE always includes. can also named logical vector finely select aesthetics display. inherit.aes FALSE, overrides default aesthetics, rather combining . useful helper functions define data aesthetics inherit behaviour default plot specification, e.g. borders().","code":""},{"path":[]},{"path":"/reference/stat_ssd.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot Species Sensitivity Data  — stat_ssd","text":"","code":"if (FALSE) { ggplot2::ggplot(ssddata::ccme_boron, ggplot2::aes(x = Conc)) +   stat_ssd() }"},{"path":"/reference/subset.fitdists.html","id":null,"dir":"Reference","previous_headings":"","what":"Subset fitdists Object — subset.fitdists","title":"Subset fitdists Object — subset.fitdists","text":"Select subset distributions fitdists object. Akaike Information-theoretic Criterion differences calculated selecting distributions named select.","code":""},{"path":"/reference/subset.fitdists.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Subset fitdists Object — subset.fitdists","text":"","code":"# S3 method for fitdists subset(x, select = names(x), delta = Inf, ...)"},{"path":"/reference/subset.fitdists.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Subset fitdists Object — subset.fitdists","text":"x object. select character vector distributions select. delta non-negative number specifying maximum absolute AIC difference cutoff. Distributions absolute AIC difference greater delta excluded calculations. ... Unused.","code":""},{"path":"/reference/subset.fitdists.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Subset fitdists Object — subset.fitdists","text":"","code":"fits <- ssd_fit_dists(ssddata::ccme_boron) subset(fits, c(\"gamma\", \"lnorm\")) #> Distribution 'gamma' #>   scale 25.1268 #>   shape 0.950179 #>  #> Distribution 'lnorm' #>   meanlog 2.56165 #>   sdlog 1.24154 #>  #> Parameters estimated from 28 rows of data."},{"path":"/reference/tidy.fitdists.html","id":null,"dir":"Reference","previous_headings":"","what":"Turn a fitdists Object into a Tibble — tidy.fitdists","title":"Turn a fitdists Object into a Tibble — tidy.fitdists","text":"Turns fitdists object tidy tibble estimates (est) standard errors (se) terms (term) distributions (dist).","code":""},{"path":"/reference/tidy.fitdists.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Turn a fitdists Object into a Tibble — tidy.fitdists","text":"","code":"# S3 method for fitdists tidy(x, all = FALSE, ...)"},{"path":"/reference/tidy.fitdists.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Turn a fitdists Object into a Tibble — tidy.fitdists","text":"x object. flag specifying whether also return transformed parameters. ... Unused.","code":""},{"path":"/reference/tidy.fitdists.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Turn a fitdists Object into a Tibble — tidy.fitdists","text":"tidy tibble estimates standard errors.","code":""},{"path":[]},{"path":"/reference/tidy.fitdists.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Turn a fitdists Object into a Tibble — tidy.fitdists","text":"","code":"fits <- ssd_fit_dists(ssddata::ccme_boron) tidy(fits) #> # A tibble: 15 × 4 #>    dist        term           est    se #>    <chr>       <chr>        <dbl> <dbl> #>  1 gamma       scale       25.1   7.64  #>  2 gamma       shape        0.950 0.223 #>  3 lgumbel     locationlog  1.92  0.247 #>  4 lgumbel     scalelog     1.23  0.173 #>  5 llogis      locationlog  2.63  0.248 #>  6 llogis      scalelog     0.740 0.114 #>  7 lnorm       meanlog      2.56  0.235 #>  8 lnorm       sdlog        1.24  0.166 #>  9 lnorm_lnorm meanlog1     0.949 0.318 #> 10 lnorm_lnorm meanlog2     3.20  0.253 #> 11 lnorm_lnorm pmix         0.284 0.123 #> 12 lnorm_lnorm sdlog1       0.555 0.212 #> 13 lnorm_lnorm sdlog2       0.769 0.194 #> 14 weibull     scale       23.5   4.86  #> 15 weibull     shape        0.966 0.145 tidy(fits, all = TRUE) #> # A tibble: 24 × 4 #>    dist    term             est    se #>    <chr>   <chr>          <dbl> <dbl> #>  1 gamma   log_scale     3.22   0.304 #>  2 gamma   log_shape    -0.0511 0.234 #>  3 gamma   scale        25.1    7.64  #>  4 gamma   shape         0.950  0.223 #>  5 lgumbel locationlog   1.92   0.247 #>  6 lgumbel log_scalelog  0.209  0.140 #>  7 lgumbel scalelog      1.23   0.173 #>  8 llogis  locationlog   2.63   0.248 #>  9 llogis  log_scalelog -0.301  0.154 #> 10 llogis  scalelog      0.740  0.114 #> # ℹ 14 more rows"},{"path":[]},{"path":"/news/index.html","id":"additions-1-0-6-9015","dir":"Changelog","previous_headings":"","what":"Additions","title":"ssdtools 1.0.6.9015","text":"multi_est = TRUE argument calculate model averaged estimates treating distributions constituting single mixture distribution. method_ci = \"weighted_samples\" specify whether use \"weighted_samples\", \"weighted_arithmetic\", \"multi_free\" \"multi_fixed\" methods generate confidence intervals. samples argument include bootstrap samples list numeric vector(s). save_to argument specify directory save bootstrap datasets csv files parameter estimates rds files. files named data_000000001_xx.csv estimates_000000001_xx.rds etc xx distribution. parent data set estimates named boot_000000000_xx.csv estimates_000000000_xx.csv. Added ssd_hp_bcanz() ssd_hp.fitburrlioz() function get hazard proportions. Added trans = \"log10\" add_x = 0 arguments ssd_plot() ssd_plot_data(). Added ssd_pmulti(), ssd_qmulti() ssd_rmulti() combined mixture distributions. Added ssd_exx() functions get default parameter estimates distributions. Added David Fox Rebecca Fisher co-authors. Added npars argument ssd_dists_bcanz().","code":""},{"path":"/news/index.html","id":"modifications-1-0-6-9015","dir":"Changelog","previous_headings":"","what":"Modifications","title":"ssdtools 1.0.6.9015","text":"Changed min_pboot = 0.95 functions. estimates.fitdists() now includes weights returned parameters well all_estimates = FALSE argument allow parameter values implemented distributions included. ssd_fit_bcanz(), ssd_wqg_bc() ssd_wqg_burrlioz() longer rescale data default. rescale = TRUE now divides geometric mean minimum maximum positive finite values opposed dividing geometric mean maximum finite value. Replaced column percentage 0 100 proportion 0 1 output ssd_hc() Changed delta = 7 delta = 9.21 weight included models 0.01. seeds now allocated bootstrap samples opposed distributions (results speed gain cores number distributions). Exported dists = ssd_dists_bcanz() argument ssd_fit_bcanz() allow packages modify. Check ... unused appropriate. ssd_plot_cdf() now includes average distributions average = NA (@poissonconsulting, #351). switched logit_pmix pmix mixture distributions lnorm longer initializes optimization maximum likelihood estimates Offset starting values gompertz distribution.","code":""},{"path":"/news/index.html","id":"fixes-1-0-6-9015","dir":"Changelog","previous_headings":"","what":"Fixes","title":"ssdtools 1.0.6.9015","text":"ssd_hc() ssd_hp() now include parametric column. ssd_hp() now includes wt column","code":""},{"path":"/news/index.html","id":"deprecation-1-0-6-9015","dir":"Changelog","previous_headings":"","what":"Deprecation","title":"ssdtools 1.0.6.9015","text":"Soft-deprecated argument percent = 5 proportion = 0.05 ssd_hc() predict(). is_censored(), ssd_plot_cf() comma_signif(...) now warn deprecated unconditionally. plot.fitdists() now defunct. Removed defunct ssd_cfplot() Removed ccme_data ccme_boron data set.","code":""},{"path":"/news/index.html","id":"ssdtools-106","dir":"Changelog","previous_headings":"","what":"ssdtools 1.0.6","title":"ssdtools 1.0.6","text":"CRAN release: 2023-09-07 Fix CRAN ATLAS error","code":""},{"path":"/news/index.html","id":"ssdtools-105","dir":"Changelog","previous_headings":"","what":"ssdtools 1.0.5","title":"ssdtools 1.0.5","text":"CRAN release: 2023-08-29 Stopped predict hc/hp test errors linux.","code":""},{"path":"/news/index.html","id":"ssdtools-104","dir":"Changelog","previous_headings":"","what":"ssdtools 1.0.4","title":"ssdtools 1.0.4","text":"CRAN release: 2023-05-17 Added contributors. Now tests table values 6 significant figures. Fixed bug preserving NaN (returning NA_real_) cumulative distribution quantile functions.","code":""},{"path":"/news/index.html","id":"ssdtools-103","dir":"Changelog","previous_headings":"","what":"ssdtools 1.0.3","title":"ssdtools 1.0.3","text":"CRAN release: 2023-04-12 Replaced size = 0.5 linewidth = 0.5 geom_hcintersect() geom_xribbon(). Replaced aes_string() aes() examples (internally). Removed use tidyverse package. Now tests values 12 significant digits. Fixed description ssd_hp() percent affected rather percent protected.","code":""},{"path":"/news/index.html","id":"ssdtools-102","dir":"Changelog","previous_headings":"","what":"ssdtools 1.0.2","title":"ssdtools 1.0.2","text":"CRAN release: 2022-05-14 Fixed bug producing estimates 0 lower HCx values log-normal mixture model rescaled data spanning many orders magnitude.","code":""},{"path":"/news/index.html","id":"ssdtools-101","dir":"Changelog","previous_headings":"","what":"ssdtools 1.0.1","title":"ssdtools 1.0.1","text":"CRAN release: 2022-04-10 Added delta = 7 argument ssd_plot_cdf().","code":""},{"path":"/news/index.html","id":"ssdtools-100","dir":"Changelog","previous_headings":"","what":"ssdtools 1.0.0","title":"ssdtools 1.0.0","text":"CRAN release: 2022-04-01 ssdtools version 1.0.0 first major release ssdtools important improvements breaking changes.","code":""},{"path":"/news/index.html","id":"fitting-1-0-0","dir":"Changelog","previous_headings":"","what":"Fitting","title":"ssdtools 1.0.0","text":"important change functionality ssd_fit_dists() switch model fitting using fitdistrplus TMB resulted improved handling censored data. Although hoped model fitting faster currently case. result change fitdists objects returned ssd_fit_dists() previous versions ssdtools compatible major release regenerated.","code":""},{"path":"/news/index.html","id":"bcanz-1-0-0","dir":"Changelog","previous_headings":"","what":"BCANZ","title":"ssdtools 1.0.0","text":"result international collaboration British Columbia Canada Australia New Zealand selected set recommended distributions model averaging settings generating final guidelines. distributions {r} > ssd_dists_bcanz() [1] \"gamma\"       \"lgumbel\"     \"llogis\"      \"lnorm\"       \"lnorm_lnorm\" \"weibull\" ssd_fit_bcanz() ssd_hc_bcanz() functions added package facilitate fitting distributions estimation hazard concentrations using recommended settings.","code":""},{"path":"/news/index.html","id":"convergence-1-0-0","dir":"Changelog","previous_headings":"BCANZ","what":"Convergence","title":"ssdtools 1.0.0","text":"previous version ssdtools distribution considered converged following condition met stats::optim() returns code 0 (indicating successful completion). new version additional two conditions must also met Bounded parameters boundary (condition can turned setting at_boundary_ok = TRUE user can specify different boundary values - see ) Standard errors computable parameter values (condition can turned setting computable = FALSE)","code":""},{"path":"/news/index.html","id":"censored-data-1-0-0","dir":"Changelog","previous_headings":"BCANZ","what":"Censored Data","title":"ssdtools 1.0.0","text":"Censoring can now specified providing data set one rows finite value left column smaller finite value right column (interval censored) zero missing value left column finite value right column (left censored) currently possible fit distributions data sets infinite missing value right column finite value left column (right censored) Rows zero missing value left column infinite missing value right column (fully censored) uninformative result error.","code":""},{"path":"/news/index.html","id":"akaike-weights-1-0-0","dir":"Changelog","previous_headings":"BCANZ > Censored Data","what":"Akaike Weights","title":"ssdtools 1.0.0","text":"uncensored data, Akaike Weights calculated using AICc (corrects small sample size). case censored data, Akaike Weights calculated using AIC (sample size estimated) distributions number parameters (ensure weights valid).","code":""},{"path":"/news/index.html","id":"weighted-data-1-0-0","dir":"Changelog","previous_headings":"BCANZ","what":"Weighted Data","title":"ssdtools 1.0.0","text":"Weighting must positive values <= 1000.","code":""},{"path":"/news/index.html","id":"distributions-1-0-0","dir":"Changelog","previous_headings":"BCANZ","what":"Distributions","title":"ssdtools 1.0.0","text":"Previously density functions available distributions exported R functions make accessible fitdistrplus. meant ssdtools loaded fit distributions. density functions now defined C++ TMB templates longer exported. distribution, quantile random generation functions generally useful still exported now prefixed ssd_ prevent clashes existing functions packages. Thus example plnorm(), qlnorm() rlnorm() renamed ssd_plnorm(), ssd_qlnorm() ssd_rlnorm(). following distributions added (case burrIII3 readded) new version burrIII3 - burrIII three parameter distribution invpareto - inverse pareto (bias correction scale order statistic) lnorm_lnorm log-normal/log-normal mixture distribution llogis_llogis log-logistic/log-logistic mixture distribution following arguments added ssd_fit_dists() rescale (default FALSE) specify whether rescale concentrations values dividing largest (finite) value. alters parameter estimates, can help distributions converge, estimates hazard concentrations/protections. reweight (default FALSE) specify whether reweight data points dividing largest weight. at_boundary_ok (default FALSE) specifying whether distribution one parameters boundary converged. min_pmix (default 0) specify boundary minimum proportion mixture distribution. range_shape1 (default c(0.05, 20)) specify lower upper boundaries shape1 parameter burrIII3 distribution. range_shape2 (default range_shape2) specify lower upper boundaries shape2 parameter burrIII3 distribution. control (default empty list) pass list control parameters stats::optim(). also worth noting default value computable argument switched FALSE TRUE enforce stricter requirements convergence (see ).","code":""},{"path":"/news/index.html","id":"subsets-of-distributions-1-0-0","dir":"Changelog","previous_headings":"BCANZ > Distributions","what":"Subsets of Distributions","title":"ssdtools 1.0.0","text":"following added handle multiple distributions ssd_dists() specify subsets available distributions. delta argument (default 7) subset() generic keep distributions within specified AIC(c) difference best supported distribution.","code":""},{"path":"/news/index.html","id":"burrlioz-1-0-0","dir":"Changelog","previous_headings":"BCANZ","what":"Burrlioz","title":"ssdtools 1.0.0","text":"function ssd_fit_burrlioz() added approximate behaviour Burrlioz.","code":""},{"path":"/news/index.html","id":"hazard-concentrationprotection-estimation-1-0-0","dir":"Changelog","previous_headings":"","what":"Hazard Concentration/Protection Estimation","title":"ssdtools 1.0.0","text":"Hazard concentration estimation performed ssd_hc() (wrapped predict()) hazard protection estimation ssd_hp(). default confidence intervals estimated parametric bootstrapping. reduce time required bootstrapping, parallelization implemented using future package. following arguments added ssd_hc() ssd_hp() delta (default 7) keep distributions within specified AIC difference best supported distribution. min_pboot (default 0.90) specify minimum proportion bootstrap samples must successfully fit. parametric (default TRUE) allow non-parametric bootstrapping. control (default empty list) pass list control parameters stats::optim(). following columns added output data frame wt specify Akaike weight. method indicate whether parametric non-parametric bootstrap used. nboot indicate many bootstrap samples used. pboot indicate proportion bootstrap samples fitted. also worth noting dist column moved last first position output data frame.","code":""},{"path":"/news/index.html","id":"censored-data-1-0-0-1","dir":"Changelog","previous_headings":"Hazard Concentration/Protection Estimation","what":"Censored Data","title":"ssdtools 1.0.0","text":"Confidence intervals estimated interval censored data.","code":""},{"path":"/news/index.html","id":"weighted-data-1-0-0-1","dir":"Changelog","previous_headings":"Hazard Concentration/Protection Estimation","what":"Weighted Data","title":"ssdtools 1.0.0","text":"Confidence intervals estimated unequally weighted data.","code":""},{"path":"/news/index.html","id":"goodness-of-fit-1-0-0","dir":"Changelog","previous_headings":"","what":"Goodness of Fit","title":"ssdtools 1.0.0","text":"pvalue argument (default FALSE) added ssd_gof() specify whether return p-values test statistics opposed test statistics .","code":""},{"path":"/news/index.html","id":"plotting-1-0-0","dir":"Changelog","previous_headings":"","what":"Plotting","title":"ssdtools 1.0.0","text":"also substantive changes plotting functionality. Added following functions ssd_plot_data() plot censored uncensored data calling geom_ssdpoint() left right column (alpha parameter values adjusted accordingly) geom_ssdsegment() allow plotting range censored data points using segments. scale_colour_ssd() (scale_color_ssd()) provide 8 color-blind scale. Made following changes ssd_plot() added bounds (default c(left = 1, right = 1)) argument specify many orders magnitude extend plot beyond minimum maximum (non-missing) values. added linetype (default NULL) argument specify line type. added linecolor (default NULL) argument specify line color. changed default value ylab “Percent Species Affected” “Species Affected”. Renamed - GeomSsd GeomSsdpoint. - StatSsd StatSsdpoint Soft-deprecated - geom_ssd() geom_ssdpoint(). - stat_ssd(). - ssd_plot_cf() fitdistrplus::descdist().","code":""},{"path":[]},{"path":"/news/index.html","id":"ssddata-1-0-0","dir":"Changelog","previous_headings":"Data","what":"ssddata","title":"ssdtools 1.0.0","text":"dataset boron_data renamed ccme_boron moved ssddata R package together CCME datasets. ssddata package provides suite datasets testing comparing species sensitivity distribution fitting software.","code":""},{"path":"/news/index.html","id":"data-handling-functions-1-0-0","dir":"Changelog","previous_headings":"Data","what":"Data Handling Functions","title":"ssdtools 1.0.0","text":"Added ssd_data() return original data fitdists object. ssd_ecd_data() get empirical cumulative density data. ssd_sort_data() sort data empirical cumulative density.","code":""},{"path":"/news/index.html","id":"miscellaneous-1-0-0","dir":"Changelog","previous_headings":"","what":"Miscellaneous","title":"ssdtools 1.0.0","text":"npars() now orders distribution name. functions arguments soft-deprecated prior v0.3.0 now warn unconditionally.","code":""},{"path":"/news/index.html","id":"generics-1-0-0","dir":"Changelog","previous_headings":"Miscellaneous","what":"Generics","title":"ssdtools 1.0.0","text":"Implemented following generics fitdists objects glance() get model likelihoods, information-theoretic criteria etc. augment() return original data set. logLik() return log-likelihood. summary.fitdists() summarize.","code":""},{"path":"/news/index.html","id":"ssdtools-0379000","dir":"Changelog","previous_headings":"","what":"ssdtools 0.3.7.9000","title":"ssdtools 0.3.7.9000","text":"previous version.","code":""},{"path":"/news/index.html","id":"ssdtools-037","dir":"Changelog","previous_headings":"","what":"ssdtools 0.3.7","title":"ssdtools 0.3.7","text":"CRAN release: 2021-10-27 fix unequal indentation Rmd ```","code":""},{"path":"/news/index.html","id":"ssdtools-036","dir":"Changelog","previous_headings":"","what":"ssdtools 0.3.6","title":"ssdtools 0.3.6","text":"CRAN release: 2021-09-22 Added wt (Akaike weight) column predict(), ssd_hc() ssd_hp() Deprecated argument ic predict(), ssd_hc() ssd_hp() unused. Silenced output ssd_fit_dists().","code":""},{"path":"/news/index.html","id":"ssdtools-035","dir":"Changelog","previous_headings":"","what":"ssdtools 0.3.5","title":"ssdtools 0.3.5","text":"CRAN release: 2021-09-03 Bump requirement R >= 4.1 actuar package.","code":""},{"path":"/news/index.html","id":"ssdtools-034","dir":"Changelog","previous_headings":"","what":"ssdtools 0.3.4","title":"ssdtools 0.3.4","text":"CRAN release: 2021-05-14 Update Apache License url https.","code":""},{"path":"/news/index.html","id":"ssdtools-033","dir":"Changelog","previous_headings":"","what":"ssdtools 0.3.3","title":"ssdtools 0.3.3","text":"CRAN release: 2021-02-19 Increased requirement R >= 3.5 due VGAM. Modified comma_signif() now rounds 3 significant digits default applies scales::comma() values >= 1000. Soft-deprecated ... argument comma_signif().","code":""},{"path":"/news/index.html","id":"ssdtools-032","dir":"Changelog","previous_headings":"","what":"ssdtools 0.3.2","title":"ssdtools 0.3.2","text":"CRAN release: 2020-09-02 Fix moved URLs.","code":""},{"path":"/news/index.html","id":"ssdtools-031","dir":"Changelog","previous_headings":"","what":"ssdtools 0.3.1","title":"ssdtools 0.3.1","text":"CRAN release: 2020-09-01 Internal changes .","code":""},{"path":"/news/index.html","id":"ssdtools-030","dir":"Changelog","previous_headings":"","what":"ssdtools 0.3.0","title":"ssdtools 0.3.0","text":"CRAN release: 2020-07-09","code":""},{"path":"/news/index.html","id":"breaking-changes-0-3-0","dir":"Changelog","previous_headings":"","what":"Breaking Changes","title":"ssdtools 0.3.0","text":"Soft-deprecated ‘burrIII3’ distribution poorly defined. Soft-deprecated ‘pareto’ distribution poor fit SSD data.","code":""},{"path":"/news/index.html","id":"major-changes-0-3-0","dir":"Changelog","previous_headings":"","what":"Major Changes","title":"ssdtools 0.3.0","text":"Reparameterized ‘llogis’ distribution terms locationlog scalelog. Reparameterized ‘burrIII3’ distribution terms lshape1, lshape2 lscale. Reparamaterized ‘burrIII2’ distribution terms locationlog scalelog. Reparamaterized ‘lgumbel’ distribution terms locationlog scalelog. Reparamaterized ‘gompertz’ distribution terms llocation lshape. Standardized handling arguments d,p,q,r s functions distributions.","code":""},{"path":"/news/index.html","id":"minor-changes-0-3-0","dir":"Changelog","previous_headings":"","what":"Minor Changes","title":"ssdtools 0.3.0","text":"rdist() functions now use length n length(n) > 1. Added slnorm() get starting values ‘dlnorm’ distribution.","code":""},{"path":"/news/index.html","id":"internal-changes-0-3-0","dir":"Changelog","previous_headings":"","what":"Internal Changes","title":"ssdtools 0.3.0","text":"Switch C++ implementation distributions.","code":""},{"path":"/news/index.html","id":"ssdtools-020","dir":"Changelog","previous_headings":"","what":"ssdtools 0.2.0","title":"ssdtools 0.2.0","text":"CRAN release: 2020-04-15","code":""},{"path":"/news/index.html","id":"breaking-changes-0-2-0","dir":"Changelog","previous_headings":"","what":"Breaking Changes","title":"ssdtools 0.2.0","text":"Changed computable (whether standard errors must computable considered converged) FALSE default. Enforces one ‘llogis’, ‘llog’ ‘burrIII2’ sets (identical).","code":""},{"path":"/news/index.html","id":"major-changes-0-2-0","dir":"Changelog","previous_headings":"","what":"Major Changes","title":"ssdtools 0.2.0","text":"Deprecated ‘burrIII2’ ‘llogis’ identical. Replaced ‘burrIII2’ (identical) ‘llogis’ default set. Fixed bug rllog() causing error. Fixed parameterisation ‘lgumbel’ causing fail fit data.","code":""},{"path":"/news/index.html","id":"minor-changes-0-2-0","dir":"Changelog","previous_headings":"","what":"Minor Changes","title":"ssdtools 0.2.0","text":"Provides warning message change default ci argument predict function. gives warning standard errors computable computable = TRUE. Uses tibble package create tibbles. Removed dependency checkr.","code":""},{"path":"/news/index.html","id":"ssdtools-011","dir":"Changelog","previous_headings":"","what":"ssdtools 0.1.1","title":"ssdtools 0.1.1","text":"CRAN release: 2020-01-24 Fix test CRAN R 3.5","code":""},{"path":"/news/index.html","id":"ssdtools-010","dir":"Changelog","previous_headings":"","what":"ssdtools 0.1.0","title":"ssdtools 0.1.0","text":"CRAN release: 2020-01-13","code":""},{"path":"/news/index.html","id":"breaking-changes-0-1-0","dir":"Changelog","previous_headings":"","what":"Breaking Changes","title":"ssdtools 0.1.0","text":"Default distributions changed ‘burrIII2’, ‘gamma’ ‘lnorm’ ‘gamma’, ‘gompertz’, ‘lgumbel’, ‘llog’, ‘lnorm’ ‘weibull’. Changed implicit behaviour ssd_hc() predict() ci = TRUE explicit ssd_hc(ci = FALSE) predict(ci = FALSE). Replaced shape scale arguments llog() lshape lscale. Replaced location scale arguments lgumbel() llocation lscale.","code":""},{"path":"/news/index.html","id":"major-features-0-1-0","dir":"Changelog","previous_headings":"","what":"Major Features","title":"ssdtools 0.1.0","text":"Added Burr Type-III Two-Parameter Distribution (burrIII2). Added ssd_hp() calculate hazard percent specific concentrations. Added ssd_exposure() calculate proportion exposed based distribution concentrations. Optimized predict() added parallel argument. Tidyverse style error warning messages.","code":""},{"path":"/news/index.html","id":"minor-features-0-1-0","dir":"Changelog","previous_headings":"","what":"Minor Features","title":"ssdtools 0.1.0","text":"ssd_fit_dists() now checks standard errors computable. Added Burr Type-III Three-Parameter Distribution (burrIII3). Added sdist(x) functionality set starting values distributions. Added ssd_plot_cdf() plot cumulative distribution function (equivalent autoplot()) nobs() censored data now returns missing value. Default ssd_fit_dists() distributions now ordered alphabetically.","code":""},{"path":"/news/index.html","id":"deprecated-0-1-0","dir":"Changelog","previous_headings":"","what":"Deprecated","title":"ssdtools 0.1.0","text":"Deprecated ssd_hc() argument hc = 5L percent = 5L. Deprecated dllog() etc dllogis(). Deprecated ssd_cfplot() ssd_plot_cf().","code":""},{"path":"/news/index.html","id":"bug-fixes-0-1-0","dir":"Changelog","previous_headings":"","what":"Bug Fixes","title":"ssdtools 0.1.0","text":"Fixed llog distribution small concentrations. Ensured concentrations 1 1 significant figure plots.","code":""},{"path":"/news/index.html","id":"ssdtools-003","dir":"Changelog","previous_headings":"","what":"ssdtools 0.0.3","title":"ssdtools 0.0.3","text":"CRAN release: 2018-11-25 added citation Added ssdtools-manual vignette Changed predict() ssd_hc() nboot argument 1001 1000 Added hc5_boron data object longer export ssd_fit_dist() ssd_fit_dists() renders redundant geom_hcintersect() now takes multiple values information DESCRIPTION Added CRAN badge Removed dependencies: dplyr, magrittr, plyr, purrr Moved depends imports: VGAM, fitdistrplus, graphics, ggplot, stats Moved imports suggests: tibble","code":""},{"path":"/news/index.html","id":"ssdtools-002","dir":"Changelog","previous_headings":"","what":"ssdtools 0.0.2","title":"ssdtools 0.0.2","text":"CRAN release: 2018-10-14 Added contributors Added hex","code":""},{"path":"/news/index.html","id":"ssdtools-001","dir":"Changelog","previous_headings":"","what":"ssdtools 0.0.1","title":"ssdtools 0.0.1","text":"Initial Release","code":""}]
+[{"path":[]},{"path":"/CODE_OF_CONDUCT.html","id":"our-pledge","dir":"","previous_headings":"","what":"Our Pledge","title":"Contributor Covenant Code of Conduct","text":"members, contributors, leaders pledge make participation community harassment-free experience everyone, regardless age, body size, visible invisible disability, ethnicity, sex characteristics, gender identity expression, level experience, education, socio-economic status, nationality, personal appearance, race, caste, color, religion, sexual identity orientation. pledge act interact ways contribute open, welcoming, diverse, inclusive, healthy community.","code":""},{"path":"/CODE_OF_CONDUCT.html","id":"our-standards","dir":"","previous_headings":"","what":"Our Standards","title":"Contributor Covenant Code of Conduct","text":"Examples behavior contributes positive environment community include: Demonstrating empathy kindness toward people respectful differing opinions, viewpoints, experiences Giving gracefully accepting constructive feedback Accepting responsibility apologizing affected mistakes, learning experience Focusing best just us individuals, overall community Examples unacceptable behavior include: use sexualized language imagery, sexual attention advances kind Trolling, insulting derogatory comments, personal political attacks Public private harassment Publishing others’ private information, physical email address, without explicit permission conduct reasonably considered inappropriate professional setting","code":""},{"path":"/CODE_OF_CONDUCT.html","id":"enforcement-responsibilities","dir":"","previous_headings":"","what":"Enforcement Responsibilities","title":"Contributor Covenant Code of Conduct","text":"Community leaders responsible clarifying enforcing standards acceptable behavior take appropriate fair corrective action response behavior deem inappropriate, threatening, offensive, harmful. Community leaders right responsibility remove, edit, reject comments, commits, code, wiki edits, issues, contributions aligned Code Conduct, communicate reasons moderation decisions appropriate.","code":""},{"path":"/CODE_OF_CONDUCT.html","id":"scope","dir":"","previous_headings":"","what":"Scope","title":"Contributor Covenant Code of Conduct","text":"Code Conduct applies within community spaces, also applies individual officially representing community public spaces. Examples representing community include using official e-mail address, posting via official social media account, acting appointed representative online offline event.","code":""},{"path":"/CODE_OF_CONDUCT.html","id":"enforcement","dir":"","previous_headings":"","what":"Enforcement","title":"Contributor Covenant Code of Conduct","text":"Instances abusive, harassing, otherwise unacceptable behavior may reported community leaders responsible enforcement codeofconduct@posit.co. complaints reviewed investigated promptly fairly. community leaders obligated respect privacy security reporter incident.","code":""},{"path":"/CODE_OF_CONDUCT.html","id":"enforcement-guidelines","dir":"","previous_headings":"","what":"Enforcement Guidelines","title":"Contributor Covenant Code of Conduct","text":"Community leaders follow Community Impact Guidelines determining consequences action deem violation Code Conduct:","code":""},{"path":"/CODE_OF_CONDUCT.html","id":"id_1-correction","dir":"","previous_headings":"Enforcement Guidelines","what":"1. Correction","title":"Contributor Covenant Code of Conduct","text":"Community Impact: Use inappropriate language behavior deemed unprofessional unwelcome community. Consequence: private, written warning community leaders, providing clarity around nature violation explanation behavior inappropriate. public apology may requested.","code":""},{"path":"/CODE_OF_CONDUCT.html","id":"id_2-warning","dir":"","previous_headings":"Enforcement Guidelines","what":"2. Warning","title":"Contributor Covenant Code of Conduct","text":"Community Impact: violation single incident series actions. Consequence: warning consequences continued behavior. interaction people involved, including unsolicited interaction enforcing Code Conduct, specified period time. includes avoiding interactions community spaces well external channels like social media. Violating terms may lead temporary permanent ban.","code":""},{"path":"/CODE_OF_CONDUCT.html","id":"id_3-temporary-ban","dir":"","previous_headings":"Enforcement Guidelines","what":"3. Temporary Ban","title":"Contributor Covenant Code of Conduct","text":"Community Impact: serious violation community standards, including sustained inappropriate behavior. Consequence: temporary ban sort interaction public communication community specified period time. public private interaction people involved, including unsolicited interaction enforcing Code Conduct, allowed period. Violating terms may lead permanent ban.","code":""},{"path":"/CODE_OF_CONDUCT.html","id":"id_4-permanent-ban","dir":"","previous_headings":"Enforcement Guidelines","what":"4. Permanent Ban","title":"Contributor Covenant Code of Conduct","text":"Community Impact: Demonstrating pattern violation community standards, including sustained inappropriate behavior, harassment individual, aggression toward disparagement classes individuals. Consequence: permanent ban sort public interaction within community.","code":""},{"path":"/CODE_OF_CONDUCT.html","id":"attribution","dir":"","previous_headings":"","what":"Attribution","title":"Contributor Covenant Code of Conduct","text":"Code Conduct adapted Contributor Covenant, version 2.1, available https://www.contributor-covenant.org/version/2/1/code_of_conduct.html. Community Impact Guidelines inspired [Mozilla’s code conduct enforcement ladder][https://github.com/mozilla/inclusion]. answers common questions code conduct, see FAQ https://www.contributor-covenant.org/faq. Translations available https://www.contributor-covenant.org/translations.","code":""},{"path":"/CONTRIBUTING.html","id":"how-to-contribute","dir":"","previous_headings":"","what":"How to contribute","title":"NA","text":"Government employees, public members private sector encouraged contribute repository forking submitting pull request. (new GitHub, might start basic tutorial check detailed guide pull requests.) Pull requests evaluated repository guardians schedule deemed beneficial committed master. contributors retain original copyright stuff, contributing project, grant world-wide, royalty-free, perpetual, irrevocable, non-exclusive, transferable license users terms license project distributed. track copyright, please use following: New code file: top file, please ensure copyright attributed collaborator assign Apache 2.0 license Major addition code file: “Copyright Province British Columbia” Apache 2.0 remains header either second collaborator added changes throughout code copyright listed specific lines code. read: Copyright Province British Columbia Copyright Collaborator Apache 2.0 License Copyright Province British Columbia Lines 200-500 Copyright Collaborator Apache 2.0 License Minor changes: small changes code throughout file may easiest keep files Copyright Province British Columbia. However, contribution tracked GitHub.","code":""},{"path":"/SUPPORT.html","id":null,"dir":"","previous_headings":"","what":"Getting help with ssdtools","title":"Getting help with ssdtools","text":"Thanks using ssdtools! filing issue, places explore pieces put together make process smooth possible.","code":""},{"path":"/SUPPORT.html","id":"make-sure-its-new","dir":"","previous_headings":"","what":"Make sure its new","title":"Getting help with ssdtools","text":"opening new issue, sure search issues pull requests make sure bug hasn’t reported /already fixed development version. default, search pre-populated :issue :open. can edit qualifiers (e.g. :pr, :closed) needed. example, ’d simply remove :open search issues repo, open closed.","code":""},{"path":"/SUPPORT.html","id":"make-a-reprex","dir":"","previous_headings":"","what":"Make a reprex","title":"Getting help with ssdtools","text":"Start making minimal reproducible example using reprex package. haven’t heard used reprex , ’re treat! Seriously, reprex make R-question-asking endeavors easier (pretty insane ROI five ten minutes ’ll take learn ’s ). additional reprex pointers, check Get help! section tidyverse site.","code":""},{"path":"/articles/additional-technical-details.html","id":"small-sample-bias","dir":"Articles","previous_headings":"","what":"Small sample bias","title":"Additional technical details","text":"ssdtools package uses method Maximum Likelihood (ML) estimate parameters distribution fit data. Statistical theory says maximum likelihood estimators asymptotically unbiased, guarantee performance small samples. detailed account issue small sample bias estimates can found following pdf.","code":""},{"path":"/articles/additional-technical-details.html","id":"investigations-into-setting-minimum-sample-sizes-for-uni-modal-and-bi-modal-distributions-in-ssdtools","dir":"Articles","previous_headings":"","what":"Investigations into setting minimum sample sizes for uni-modal and bi-modal distributions in ssdtools","title":"Additional technical details","text":"jurisdictions require minimum sample size fitting valid SSD. current Austalian New Zealand minimum 5, order fit two-parameter log-normal distribution (ANZG 2018; Warne et al. 2018). current default minimum sample size 6 version 1.0 ssdtools (Thorley Schwarz 2018a, b), consistent current methodology British Columbia (BC Ministry Environment Climate Change Strategy 2019). report series simulation studies designed inform final decision default minimum sample size adopt uni-modal 2 parameter distributions, well bi-modal 5 parameter distributions.","code":""},{"path":[]},{"path":"/articles/additional-technical-details.html","id":"simulations-based-on-ssddata","dir":"Articles","previous_headings":"Investigations into setting minimum sample sizes for uni-modal and bi-modal distributions in ssdtools > Bias and CI coverage and interval width","what":"Simulations based on ssddata","title":"Additional technical details","text":"used example datasets ssddata package R (Fisher Thorley 2021) undertake simulation study examine bias, coverage confidence interval widths using recommended default set distributions (lognormal, log-Gumbel, log-logistic, gamma, Weibull, lognormal-log-normal mixture), model averaged estimates obtained using multi-method, confidence intervals estimated using recommended weighted sample bootstrap method (see Fox et al. 2024). total 20 unique datasets extracted ssddata used define parameters simulation study follows: dataset extracted ssddata fit using default distribution set recommended (Fox et al. 2021) (Fox et al. 2024). six default distributions, parameters distribution highest weight dataset used generate new random datasets varying values N, including (limited ): 5 (current ANZG minimum), 6 (current BC minimum), 8 (current ANZG preferred). randomly generated dataset, ssdtools used re-fit data, model averaged estimates obtained using multi-method, upper lower confidence intervals estimated using recommended weighted sample method. individual ssdtools fits shown 20 simulation datasets ssddata, six recommended default distributions, well model averaged CDF (black line):  simulation process repeated minimum 1,000 times dataset, results collated across iterations. simulated dataset true HCx values obtained directly parameter estimates data generating distribution. , relative bias calculated scaled-difference estimated HCx values true HCx value, .e HĈx−HCxHCx\\frac{\\widehat {HC}x-HCx}{HCx} HĈx\\widehat {HC}x estimate true value, HCxHCx; coverage calculated proportion simulations true HCxHCx value fell within lower upper 95% confidence limits; scaled confidence interval width calculated UL−LLHCx\\frac{UL-LL}{HCx} ULUL LLLL upper lower limits respectively. Bias, confidence interval width coverage function sample size across ~1000 simulations 20 datasets using multi model averaging method weighted sample method estimating confidence intervals via ssdtools shown :  simulation results showed significant gains terms reduced bias N=5 N=6, well coverage, improved substantially N=5 N=6. also small additional gain coverage N=7, median simulations reaches expected 95% case HC1.","code":""},{"path":"/articles/additional-technical-details.html","id":"simulations-based-on-envirotox","dir":"Articles","previous_headings":"Investigations into setting minimum sample sizes for uni-modal and bi-modal distributions in ssdtools > Bias and CI coverage and interval width","what":"Simulations based on EnviroTox","title":"Additional technical details","text":"addition analysis based 20 ssddata example datasets, also ran expanded simulation study based EnviroTox dataset analysed Yanagihara et al. (2024). Combined ssddata examples, includes total 353 example datasets use case studies. Using larger dataset basis simulations, followed procedure described examine relative bias, well changes AICc weights (see ) various sample sizes. Estimates coverage confidence interval widths obtained larger dataset due computationally intensive bootstrap method obtaining confidence intervals. Bias sample size across ~1000 simulations 353 datasets using multi model averaging method via ssdtools, HC5, 10 20 (0.05, 0.1, 0.2) shown :  Note simulation results shown separately derived six distributions underlying source data generating distribution. bias results larger combined dataset show level improvement N=5 N=6 based smaller ssddata simulation. However, gradual improvement bias increasing N. strong evidence preferring N=6 N=7 context bias either simulation studies. note bias highest small sample sizes data generated using gamma distribution, likely reflecting extreme left-tailed nature distribution.","code":""},{"path":"/articles/additional-technical-details.html","id":"acic-based-model-weights","dir":"Articles","previous_headings":"Investigations into setting minimum sample sizes for uni-modal and bi-modal distributions in ssdtools","what":"ACIc based model weights","title":"Additional technical details","text":"Aside considerations bias, coverage confidence interval width, also prudent examine weights different distributions changed sample size, data generated using six different default distributions, fully investigate sample size issues associated use mixture distributions. examined using simulation study across larger combined ssddata EnviroTox datasets (353 datasets) ensure wide range potential representations six default distributions considered. plot mean AICc weights function sample size (N) obtained data simulated using best fit distribution 353 datasets. Results shown separately six different source distributions, upper plot () showing AICc weight source (data generating) distributions, fit using default set six distributions using ssdtools; lower plot (B) showing AICc weight lognormal-lognormal mixture distribution source (data generating) distributions.  found AICc weights five unimodal distributions relatively similar (~0.2) low N. small N difficult discern differences distributions candidate list. weights increase 0.5 N increases (.e. converge true underlying generating distribution high N, upper plot). low sample sizes (N=5, 6 7) source (data-generating) distribution preferentially weighted AICc (upper plot, ). lnorm_lnorm mixture, AICc weights can >0.5 relatively N (>8, lower plot, B). also looked specifically AICc weight lognormal-lognormal mixture one six distributions default candidate set, across simulation based six source generating distributions. done examine potential erroneously highly weighting lognormal-lognormal mixture distribution chance, data generated instead using one five unimodal distributions. unimodal source distributions lognormal-lognormal mixture never high AICc weight, even high sample sizes (N=256, lower plot, B). AICc weights particularly low lnorm_lnorm mixture low sample sizes uni-modal source distributions (desirable property) (lower plot, B).","code":""},{"path":"/articles/additional-technical-details.html","id":"conclusions","dir":"Articles","previous_headings":"Investigations into setting minimum sample sizes for uni-modal and bi-modal distributions in ssdtools","what":"Conclusions","title":"Additional technical details","text":"Overall, results suggest (relative) bias function N behaves expected. N=6 recommendation appears well-supported coverage particularly low N=5, acceptable N=6. lognormal-lognormal mixture AICc weights suggest distribution preferred (.e. high AICc weight) () clear evidence bimodality source data; (ii) large N. Based results, recommendation single minimum sample size N=6 adopted (unimodal bimodal), since results suggest gains increasing 7 minimal.","code":""},{"path":[]},{"path":"/articles/additional-technical-details.html","id":"burr-iii-distribution","dir":"Articles","previous_headings":"The inverse Pareto and inverse Weibull as limiting distributions of the Burr Type-III distribution","what":"Burr III distribution","title":"Additional technical details","text":"probability density function, fX(x;b,c,k){f_X}(x;b,c,k) cumulative distribution function, FX(x;b,c,k){F_X}(x;b,c,k) Burr III distribution (also known Dagum distribution) used ssdtools :","code":""},{"path":"/articles/additional-technical-details.html","id":"inverse-pareto-distribution","dir":"Articles","previous_headings":"The inverse Pareto and inverse Weibull as limiting distributions of the Burr Type-III distribution","what":"Inverse Pareto distribution","title":"Additional technical details","text":"Let X∼Burr(b,c,k)X \\sim Burr(b,c,k) pdf given box . well known distribution Y=1XY = \\frac{1}{X} inverse Burr distribution (also known SinghMaddala distribution) :$$\\begin{array}{*{20}{c}} {{f_Y}(y;b,c,k) = \\frac{{c{\\kern 1pt} {\\kern 1pt} k{{\\left( {\\frac{y}{b}} \\right)}^c}}}{{y{\\kern 1pt} {{\\left[ {1 + {{\\left( {\\frac{y}{b}} \\right)}^c}} \\right]}^{k + 1}}}}}&{b,c,k,y > 0} \\end{array}$$ FY(y;b,c,k)=1−1[1+(yb)c]kb,c,k,y>0\\begin{array}{*{20}{c}} {{F_Y}(y;b,c,k) = 1 - \\frac{1}{{{{\\left[ {1 + {{\\left( {\\frac{y}{b}} \\right)}^c}} \\right]}^k}}}}&{b,c,k,y > 0} \\end{array} now consider limiting distribution c→∞c \\\\infty k→0k \\0 way product ckck remains constant, .e. ck=λck = \\lambda. Now, ck=λ{FY(y;b,c,k)}=1−ck=λ1[1+(yb)c]kandck=λ[1+(yb)c]k=ck=λ{(yb)ck[1+()c]k}andck=λ{(yb)ck[1+()c]k}=ck=λ{(yb)ck}ck=λ{[1+()c]k}=ck=λ{(yb)ck}⋅1=(yb)λ\\begin{array}{l} \\mathop {\\mathop {\\lim }\\limits_{(c,k) \\(\\infty ,0)} }\\limits_{ck = \\lambda } \\left\\{ {{F_Y}(y;b,c,k)} \\right\\} = 1 - \\mathop {\\mathop {\\lim }\\limits_{(c,k) \\(\\infty ,0)} }\\limits_{ck = \\lambda } \\frac{1}{{{{\\left[ {1 + {{\\left( {\\frac{y}{b}} \\right)}^c}} \\right]}^k}}}\\\\ \\\\ \\\\ \\\\ \\mathop {\\mathop {\\lim }\\limits_{(c,k) \\(\\infty ,0)} }\\limits_{ck = \\lambda } {\\left[ {1 + {{\\left( {\\frac{y}{b}} \\right)}^c}} \\right]^k} = \\mathop {\\mathop {\\lim }\\limits_{(c,k) \\(\\infty ,0)} }\\limits_{ck = \\lambda } \\left\\{ {{{\\left( {\\frac{y}{b}} \\right)}^{ck}}{{\\left[ {1 + {{\\left( {\\frac{b}{y}} \\right)}^c}} \\right]}^k}} \\right\\}\\\\ \\\\ \\\\ \\\\ \\mathop {\\mathop {\\lim }\\limits_{(c,k) \\(\\infty ,0)} }\\limits_{ck = \\lambda } \\left\\{ {{{\\left( {\\frac{y}{b}} \\right)}^{ck}}{{\\left[ {1 + {{\\left( {\\frac{b}{y}} \\right)}^c}} \\right]}^k}} \\right\\} = \\mathop {\\mathop {\\lim }\\limits_{(c,k) \\(\\infty ,0)} }\\limits_{ck = \\lambda } \\left\\{ {{{\\left( {\\frac{y}{b}} \\right)}^{ck}}} \\right\\}\\mathop {\\mathop {\\lim }\\limits_{(c,k) \\(\\infty ,0)} }\\limits_{ck = \\lambda } \\left\\{ {{{\\left[ {1 + {{\\left( {\\frac{b}{y}} \\right)}^c}} \\right]}^k}} \\right\\}\\\\  = \\mathop {\\mathop {\\lim }\\limits_{(c,k) \\(\\infty ,0)} }\\limits_{ck = \\lambda } \\left\\{ {{{\\left( {\\frac{y}{b}} \\right)}^{ck}}} \\right\\}\\; \\cdot \\,1\\\\  = {\\left( {\\frac{y}{b}} \\right)^\\lambda } \\end{array} Therefore, ck=λ{FY(y;b,c,k)}=1−()λy≥b\\begin{array}{*{20}{c}} {\\mathop {\\mathop {\\lim }\\limits_{(c,k) \\(\\infty ,0)} }\\limits_{ck = \\lambda } \\left\\{ {{F_Y}(y;b,c,k)} \\right\\} = 1 - {{\\left( {\\frac{b}{y}} \\right)}^\\lambda }}&{y \\ge b} \\end{array} recognise (American) Pareto distribution. , limiting distribution Y=1XY = \\frac{1}{X} Pareto distribution, limiting distribution X=1YX = \\frac{1}{Y} (American) inverse Pareto distribution: $$\\begin{array}{l} {f_X}\\left( {x;\\alpha ,\\beta } \\right) = \\lambda {b^\\lambda }{x^{\\lambda  - 1}};{\\rm{  }}0 \\le x \\le {\\textstyle{1 \\b}};{\\rm{  }}\\lambda {\\rm{,}}b > 0\\\\ {F_X}\\left( {x;\\alpha ,\\beta } \\right) = {\\left( {xb} \\right)^\\lambda };{\\rm{  }}0 \\le x \\le {\\textstyle{1 \\b}};{\\rm{  }}\\lambda {\\rm{,}}b > 0 \\end{array}$$ completeness, MLEs distribution closed-form expressions given : $$\\begin{array}{l} \\hat \\lambda  = {\\left[ {\\ln \\left( {\\frac{{{g_X}}}{{\\hat b}}} \\right)} \\right]^{ - 1}}\\\\ \\hat b = \\frac{1}{{\\max \\left\\{ {{X_i}} \\right\\}}}{\\rm{ }} \\end{array}$$ ${\\rm{ }}{g_X}$geometric mean data.","code":""},{"path":"/articles/additional-technical-details.html","id":"inverse-weibull-distribution","dir":"Articles","previous_headings":"The inverse Pareto and inverse Weibull as limiting distributions of the Burr Type-III distribution","what":"Inverse Weibull distribution","title":"Additional technical details","text":"Let X∼Burr(b,c,k)X \\sim Burr(b,c,k) pdf given box . make transformation $$Y = \\frac{{b{\\kern 1pt} {k^{\\tfrac{1}{c}}}{\\kern 1pt} \\theta }}{X}$$ θ\\theta parameter (constant). distribution YY also Burr distribution cdf $${G_Y}\\left( y \\right) = 1 - \\frac{1}{{{{\\left[ {1 + {{\\left( {\\frac{y}{{{k^{\\tfrac{1}{c}}}{\\kern 1pt} \\theta }}} \\right)}^c}} \\right]}^k}}}$$.interested limiting behaviour Burr distribution k→∞k \\\\infty. Now,$$\\mathop {\\lim }\\limits_{k \\\\infty } {G_Y}\\left( y \\right) = 1 - \\mathop {\\lim }\\limits_{k \\\\infty } {\\left[ {1 + {{\\left( {\\frac{y}{{{k^{\\tfrac{1}{c}}}{\\kern 1pt} \\theta }}} \\right)}^c}} \\right]^{ - k}}$$ $${ = 1 - \\mathop {\\lim }\\limits_{k \\\\infty } {{\\left[ {1 + \\frac{{{{\\left( {\\frac{y}{\\theta }} \\right)}^c}}}{{k{\\kern 1pt} }}} \\right]}^{ - k}}}$$ $$\\begin{matrix}    =1-\\exp \\left[ -{{\\left( \\frac{y}{\\theta } \\right)}^{c}} \\right]  \\\\    \\left\\{ \\text{using fact }\\underset{n\\\\infty }{\\mathop{\\lim }}\\,{{\\left( 1+{}^{z}\\!\\!\\diagup\\!\\!{}_{n}\\; \\right)}^{-n}}={{e}^{-z}} \\right\\}  \\\\ \\end{matrix}$$ recognise last expression cdf Weibull distribution parameters cc θ\\theta.","code":""},{"path":"/articles/additional-technical-details.html","id":"licensing","dir":"Articles","previous_headings":"","what":"Licensing","title":"Additional technical details","text":"Copyright 2018-2024 Province British Columbia Copyright 2021 Environment Climate Change Canada Copyright 2023-2024 Australian Government Department Climate Change, Energy, Environment Water documentation released CC 4.0 License code released Apache License 2.0","code":""},{"path":[]},{"path":"/articles/confidence-intervals.html","id":"bootstrap-confidence-intervals","dir":"Articles","previous_headings":"","what":"Bootstrap confidence intervals","title":"Confidence Intervals for Hazard Concentrations","text":"Bootstrapping resampling technique used obtain estimates summary statistics. team explored use alternative methods obtaining confidence interval HCx estimates. included using closed-form expression variance-covariance matrix parameters Burr III distribution, coupled delta-method, well alternative bootstrap method inverse Pareto distribution based statistical properties parameters (Fox et al. 2021). cases, appeared methods can give results similar traditional bootstrapping approaches much less time, therefore potentially worth investigation. However, implementation methods across distributions now available ssdtools substantial undertaking. revised version ssdtools retains computationally intensive bootstrapping method obtain confidence intervals estimate standard errors. recommend minimum bootstrap sample 1,000 (current default - see argument nboot ?ssd_hc()). However, reliable results can obtained using samples 5,000 10,000. recommend larger bootstrap samples final reporting.","code":""},{"path":"/articles/confidence-intervals.html","id":"parametric-versus-non-parametric-bootstrapping","dir":"Articles","previous_headings":"","what":"Parametric versus non-parametric bootstrapping","title":"Confidence Intervals for Hazard Concentrations","text":"Burrlioz 2.0 uses non-parametric bootstrap method obtain confidence intervals HCx estimate. Non-parametric bootstrapping carried repeatedly resampling raw data replacement, refitting distribution many times. 95% confidence limits obtained calculating lower 0.025th upper 0.975th quantiles resulting HCx estimates across bootstrap samples (typically >1000). type bootstrap takes account uncertainty distribution fit based uncertainty data. ssdtools package default uses parametric bootstrap. Instead resampling data, parametric bootstrapping draws random set new data (sample size original) fitted distribution repeatedly refit distribution. Upper lower 95% bounds calculated lower 0.025th upper 0.975th quantiles resulting HCx estimates across bootstrap samples (, typically >1000). capture possible uncertainty may occur sample size given distribution, assumes uncertainty original fit, accounting uncertainty input data. new TMB version ssdtools capacity bootstrapping either using Burrlioz non-parametric method, original parametric method ssdtools (based fitdistrplus (Delignette-Muller Dutang 2015)). Using simulation studies ssdtools team examined bias compared resulting coverage parametric non-parametric bootstrapping methods (Fox et al. 2021). found coverage better using parametric bootstrapping method, retained default bootstrapping method update ssdtools.","code":""},{"path":"/articles/confidence-intervals.html","id":"bootstrapping-model-averaged-ssds","dir":"Articles","previous_headings":"","what":"Bootstrapping model-averaged SSDs","title":"Confidence Intervals for Hazard Concentrations","text":"Bootstrapping obtain confidence intervals individual fitted distributions relatively straightforward. However, obtaining bootstrap confidence intervals model-averaged SSDs requires careful consideration, procedure subject pitfalls evident obtaining model-averaged HCx estimates. Model Average SSDs vignette contains detailed explanation fallacy using summed weighting individual HCx values (weighted arithmetic average), can lead spurious results. Model-averaged estimates /confidence intervals (including standard error) can calculated treating distributions constituting single mixture distribution versus ‘taking mean’. calculating model-averaged estimates treating distributions constituting single mixture distribution ensures ssd_hc() inverse ssd_hp(), applies model-averaged confidence intervals. revised version ssdtools supports four methods obtaining bootstrap confidence intervals, discussed detail .","code":""},{"path":"/articles/confidence-intervals.html","id":"weighted-arithmetic-mean","dir":"Articles","previous_headings":"Bootstrapping model-averaged SSDs","what":"Weighted arithmetic mean","title":"Confidence Intervals for Hazard Concentrations","text":"early versions ssdtools provided model-averaged confidence intervals (cis) standard errors (se) calculated weighted arithmetic means upper lower cis se values obtained via bootstrap simulation individual candidate distributions independently. method incorrect may lead spurious results (described ) shown via simulations studies result confidence intervals low coverage. current version ssdtools retains functionality reproduce original behavior ssdtools. Use method obtaining ci se values recommended retained legacy comparison purposes. technically incorrect, computationally inefficient.","code":"fit <- ssd_fit_dists(data = ssddata::ccme_silver) set.seed(99)  ssd_hc(fit, ci = TRUE, multi_est = FALSE, ci_method = \"weighted_arithmetic\") #> # A tibble: 1 × 11 #>   dist    proportion   est    se    lcl   ucl    wt method   nboot pboot samples #>   <chr>        <dbl> <dbl> <dbl>  <dbl> <dbl> <dbl> <chr>    <dbl> <dbl> <I<lis> #> 1 average       0.05 0.192 0.216 0.0679 0.861     1 paramet…  1000 0.998 <dbl>"},{"path":"/articles/confidence-intervals.html","id":"weighted-mixture-distribution","dir":"Articles","previous_headings":"Bootstrapping model-averaged SSDs","what":"Weighted mixture distribution","title":"Confidence Intervals for Hazard Concentrations","text":"theoretically correct way obtaining ci se values consider model average set mixture distribution (see , Model Average SSDs vignette). consider model set mixture distribution, bootstrapping achieved resampling model set according AICc based model weights. method sampling mixture distributions implemented ssdtools, via function ssd_rmulti(), generate random samples mixture combination distributions currently implemented ssdtools. bootstrapping mixture distribution, question arises whether model weights re-estimated every bootstrap sample, fixed values estimated models fitted original sample toxicity data? interesting question may warrant investigation, however current view fixed nominal values way component distributions used bootstrapping informed fit sample toxicity data. Using simulation studies explored coverage bias ci values obtained without without fixing distribution weights, results indicate little difference. following code can used obtain confidence intervals HCx estimates via bootstrapping weighted mixture distribution (using ssd_rmulti()), without fixed weight values respectively. Use method (without without fixed weights) theoretically correct, computationally inefficient.","code":"# Using the multi boostrapping method with fixed weights ssd_hc(fit, ci = TRUE, ci_method = \"multi_fixed\") #> # A tibble: 1 × 11 #>   dist    proportion   est    se    lcl   ucl    wt method   nboot pboot samples #>   <chr>        <dbl> <dbl> <dbl>  <dbl> <dbl> <dbl> <chr>    <dbl> <dbl> <I<lis> #> 1 average       0.05 0.190 0.207 0.0194 0.824     1 paramet…  1000     1 <dbl> # Using the multi boostrapping method without fixed weights ssd_hc(fit, ci = TRUE, ci_method = \"multi_free\") #> # A tibble: 1 × 11 #>   dist    proportion   est    se    lcl   ucl    wt method   nboot pboot samples #>   <chr>        <dbl> <dbl> <dbl>  <dbl> <dbl> <dbl> <chr>    <dbl> <dbl> <I<lis> #> 1 average       0.05 0.190 0.211 0.0223 0.838     1 paramet…  1000     1 <dbl>"},{"path":"/articles/confidence-intervals.html","id":"weighted-bootstrap-sample","dir":"Articles","previous_headings":"Bootstrapping model-averaged SSDs","what":"Weighted bootstrap sample","title":"Confidence Intervals for Hazard Concentrations","text":"developers ssdtools investigated third method obtaining confidence intervals model-averaged SSD. method bootstraps distributions individually, taking weighted sample , combining pooled bootstrap sample estimation te ci se values. Pseudo code method follows: distribution fitdists object, proportional number bootstrap samples draw (nboot_vals) found using round(nboot * weight), nboot total number bootstrap samples weight AICc based model weights distribution based original ssd_fitdist fit. nboot_vals distribution, random sample size N drawn (total number original data points included original SSD fit) based estimated parameters original data distribution. random sample re-fitting using distribution. HCx estimated re-fitted bootstrap fit. HCx estimates nboot_vals distribution pooled across distributions, quantile() used determine lower upper confidence bounds pooled weighted bootstrap sample HCx values. method draw random samples mixture distribution using ssd_rmulti. mathematically method shares properties obtaining HCx estimates via summing weighted values (weighted arithmetic mean), simulation studies shown , method obtaining confidence intervals, pooled weighted sample method yields similar ci values coverage ssd_rmulti() method, computationally much faster. method currently default method ssdtools, can implemented simply calling ssd_hc().","code":"# Using a weighted pooled bootstrap sample ssd_hc(fit, ci = TRUE) #> # A tibble: 1 × 11 #>   dist    proportion   est    se    lcl   ucl    wt method   nboot pboot samples #>   <chr>        <dbl> <dbl> <dbl>  <dbl> <dbl> <dbl> <chr>    <dbl> <dbl> <I<lis> #> 1 average       0.05 0.190 0.214 0.0181 0.816     1 paramet…  1000 0.999 <dbl>"},{"path":"/articles/confidence-intervals.html","id":"comparing-bootrapping-methods","dir":"Articles","previous_headings":"","what":"Comparing bootrapping methods","title":"Confidence Intervals for Hazard Concentrations","text":"undertaken extensive simulation studies comparing implemented methods, results reported elsewhere. illustrative purposes, compare upper lower confidence intervals using single example data set, Silver data set Canadian Council Ministers Environment (ccme). Using default settings ssdtools, compared upper lower confidence intervals four bootstrapping methods described . Estimate upper confidence limits relatively similar among four methods. However, lower confidence interval obtained using weighted arithmetic mean (method implemented earlier versions ssdtools) much higher three methods, potentially accounting relatively poor coverage method simulation studies. Given similarity upper lower confidence intervals weighted bootstrap sample method compared potentially theoretically correct, computationally intensive weighted mixture method (via ssd_rmulti()), also compared time taken undertake bootstrapping across methods. Using default 1,000 bootstrap samples, elapsed time undertake bootstrapping mixture method 29.07 seconds, compared 2.66 seconds weighted bootstrap sample. means weighted bootstrap method ~ 11 times faster, representing considerable computational saving across many SSDs. reason, method currently set default method confidence interval estimation ssdtools.","code":"library(ggplot2) # library(ggpubr) p1 <- ggplot(compare_dat, aes(method, ucl, fill = method)) +   geom_bar(stat = \"identity\", position = position_dodge()) +   theme_classic() +   theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust = 1)) p2 <- ggplot(compare_dat, aes(method, lcl, fill = method)) +   geom_bar(stat = \"identity\", position = position_dodge()) +   theme_classic() +   theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust = 1))  # ggarrange(p1, p2,common.legend = TRUE) p3 <- ggplot(compare_dat, aes(method, time, fill = method)) +   geom_bar(stat = \"identity\", position = position_dodge()) +   ylab(\"Elapsed time (seconds)\") +   theme_classic() +   theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust = 1)) p3"},{"path":[]},{"path":"/articles/confidence-intervals.html","id":"licensing","dir":"Articles","previous_headings":"","what":"Licensing","title":"Confidence Intervals for Hazard Concentrations","text":"Copyright 2018-2024 Province British Columbia Copyright 2021 Environment Climate Change Canada Copyright 2023-2024 Australian Government Department Climate Change, Energy, Environment Water documentation released CC 4.0 License code released Apache License 2.0","code":""},{"path":"/articles/customising-plots.html","id":"plotting-the-cumulative-distribution","dir":"Articles","previous_headings":"","what":"Plotting the cumulative distribution","title":"Customising Plots","text":"ssdtools package produces plot cumulative distribution functions multiple input distributions use ssd_plot_cdf() function. example, consider boron data. can fit, plot cdf using:  graphic ggplot object can saved embellished usual way.","code":"library(ggplot2) library(ssdtools)  fits <- ssd_fit_dists(ssddata::ccme_boron) gp <- ssd_plot_cdf(fits)  print(gp)"},{"path":[]},{"path":"/articles/customising-plots.html","id":"plot-the-model-averaged-fit-with-individual-fits","dir":"Articles","previous_headings":"Customising the cumulative distribution plot","what":"Plot the model-averaged fit with individual fits","title":"Customising Plots","text":"can add model-averaged cdf first obtaining predicted values, extending default ssdtools ggplot usual way using geom_line:","code":"library(ssddata) library(ssdtools) library(ggplot2)  dist <- ssdtools::ssd_fit_dists(ssddata::ccme_boron) pred <- predict(dist, ci = FALSE) boron_hc5 <- ssd_hc(dist) ssdtools::ssd_plot_cdf(dist) +   geom_line(data = pred, aes(x = est, y = proportion, colour = \"Model average\", lty = \"Model average\"), lwd = 0.75) +   scale_linetype_manual(name = \"Distribution\", breaks = c(\"Model average\", names(dist)), values = 1:7) +   scale_color_manual(name = \"Distribution\", breaks = c(\"Model average\", names(dist)), values = 1:7) +   theme_bw()"},{"path":"/articles/customising-plots.html","id":"other-customisations","dir":"Articles","previous_headings":"Customising the cumulative distribution plot","what":"Other customisations","title":"Customising Plots","text":"ssdtools package provides four ggplot geoms allow construct plots. first geom_ssdpoint() plots species sensitivity data  second geom_ssdsegments() plots range censored species sensitivity data  third geom_xribbon() plots species sensitivity confidence intervals  fourth geom_hcintersect() plots hazard concentrations  can combined together follows  log x-axis add following code.  recent plot can saved file using ggsave(), also allows user set resolution.","code":"ggplot(ccme_boron) +   geom_ssdpoint(aes(x = Conc)) +   ylab(\"Probability density\") +   xlab(\"Concenration\") ggplot(ccme_boron) +   geom_ssdsegment(aes(x = Conc, xend = Conc * 2)) +   ylab(\"Probability density\") +   xlab(\"Concenration\") ggplot(boron_pred) +   geom_xribbon(aes(xmin = lcl, xmax = ucl, y = proportion)) +   ylab(\"Probability density\") +   xlab(\"Concenration\") ggplot() +   geom_hcintersect(xintercept = c(1, 2, 3), yintercept = c(0.05, 0.1, 0.2)) +   ylab(\"Probability density\") +   xlab(\"Concenration\") gp <- ggplot(boron_pred, aes(x = est)) +   geom_xribbon(aes(xmin = lcl, xmax = ucl, y = proportion), alpha = 0.2) +   geom_line(aes(y = proportion)) +   geom_ssdsegment(data = ccme_boron, aes(x = Conc / 2, xend = Conc * 2)) +   geom_ssdpoint(data = ccme_boron, aes(x = Conc / 2)) +   geom_ssdpoint(data = ccme_boron, aes(x = Conc * 2)) +   scale_y_continuous(\"Species Affected (%)\", labels = scales::percent) +   expand_limits(y = c(0, 1)) +   xlab(\"Concentration (mg/L)\") print(gp + geom_hcintersect(xintercept = boron_hc5$est, yintercept = 5 / 100)) gp <- gp + coord_trans(x = \"log10\") +   scale_x_continuous(     breaks = scales::trans_breaks(\"log10\", function(x) 10^x),     labels = comma_signif   ) print(gp + geom_hcintersect(xintercept = boron_hc5$est, yintercept = 0.05)) ggsave(\"file_name.png\", dpi = 600)"},{"path":"/articles/customising-plots.html","id":"fitting-and-plotting-distributions-to-multiple-groups-such-taxa-andor-chemicals","dir":"Articles","previous_headings":"","what":"Fitting and plotting distributions to multiple groups such taxa and/or chemicals","title":"Customising Plots","text":"elegant approach using tidyverse packages demonstrated . resultant data predictions can plotted follows.","code":"library(ssddata) library(ssdtools) library(ggplot2) library(dplyr) library(tidyr) library(purrr)  boron_preds <- nest(ccme_boron, data = c(Chemical, Species, Conc, Units)) %>%   mutate(     Fit = map(data, ssd_fit_dists, dists = \"lnorm\"),     Prediction = map(Fit, predict)   ) %>%   unnest(Prediction) library(ssdtools) library(ssddata) ssd_plot(ccme_boron, boron_preds, xlab = \"Concentration (mg/L)\", ci = FALSE) +   facet_wrap(~Group)"},{"path":"/articles/customising-plots.html","id":"embellishing-plots-with-an-exposure-distribution","dir":"Articles","previous_headings":"","what":"Embellishing Plots with an Exposure Distribution","title":"Customising Plots","text":"example, suppose want superimpose environmental concentration cumulative distribution compute exposure risk outlined Verdonck et al. (2003). Finding suitable probability distribution describe exposure concentration beyond scope document – assume done elsewhere. particular, suppose exposure concentration follows log-normal distribution mean -2.3 standard deviation 1 logarithmic scale. exposure distribution, construct data frame concentration values cumulative probability seeing exposure less environment. Notice care needed ssdtools plot logarithmic base 10 scale natural logarithm base ee scale. now add plot  ssdtools package contains function ssd_exposure() computes risk defined Verdonck et al (2003) representing average proportion species risk. risk 0.00624 can also added plot usual way:","code":"ex.cdf <- data.frame(Conc = exp(seq(log(.01), log(10), .1))) # generate a grid of concentrations ex.cdf$ex.cdf <- plnorm(ex.cdf$Conc,   meanlog = ex.mean.log,   sdlog = ex.sd.log ) # generate the cdf gp +   geom_line(data = ex.cdf, aes(x = Conc, y = ex.cdf), color = \"red\", linewidth = 2) +   annotate(\"text\",     label = paste(\"Exposure distribution\"),     x = 1.08 * ex.cdf$Conc[which.max(ex.cdf$ex.cdf > 0.5)], y = 0.5, angle = 75   ) set.seed(99) ex.risk <- ssd_exposure(fits, meanlog = ex.mean.log, sdlog = ex.sd.log) ex.risk ## [1] 0.006241597 gp +   geom_line(dat = ex.cdf, aes(x = Conc, y = ex.cdf), color = \"red\", linewidth = 2) +   annotate(\"text\",     label = paste(\"Exposure distribution\"),     x = 1.08 * ex.cdf$Conc[which.max(ex.cdf$ex.cdf > 0.5)], y = 0.5, angle = 75   ) +   annotate(\"text\",     label = paste(\"Verdonck risk :\", round(ex.risk, 5)),     x = Inf, y = 0, hjust = 1.1, vjust = -.5   )"},{"path":[]},{"path":"/articles/customising-plots.html","id":"licensing","dir":"Articles","previous_headings":"","what":"Licensing","title":"Customising Plots","text":"Copyright 2018-2024 Province British Columbia Copyright 2021 Environment Climate Change Canada Copyright 2023-2024 Australian Government Department Climate Change, Energy, Environment Water documentation released CC 4.0 License code released Apache License 2.0","code":""},{"path":"/articles/distributions.html","id":"distributions-for-ssd-modelling","dir":"Articles","previous_headings":"","what":"Distributions for SSD modelling","title":"Distributions in ssdtools","text":"Many authors noted guiding theory ecotoxicology justify particular distributional form SSD domain restricted positive real line (Newman et al. 2000; Zajdlik 2005; Fox 2016). Distributions selected use model averaging SSDs must bounded zero given effect concentrations negative. must also continuous, generally unbounded right. Furthermore, selected distributions within candidate model set provide variety shapes capture diversity shapes empirical species sensitivity distributions. wide range distributions implemented ssdtools, although distributions appear default set. provide detailed account distributions available ssdtools, guidance use.","code":""},{"path":"/articles/distributions.html","id":"original-ssdtools-distributions","dir":"Articles","previous_headings":"Distributions for SSD modelling","what":"Original ssdtools distributions","title":"Distributions in ssdtools","text":"log-normal, log-logistic Gamma distributions widely used SSD modelling, part original distribution set early releases ssdtools developed Thorley Schwarz 2018. adopted default set three distributions early updates ssdtools associated ShinyApp (Dalgarno 2021). three distributions show good convergence properties retained part default model set version 2.0 ssdtools. addition log-normal, log-logistic Gamma distributions, original version ssdtools developed Thorley Schwarz 2018 also included three additional distributions candidate model set, including log-gumbel, Gompertz Weibull distributions. , log-Gumbel (otherwise known inverse Weibull, see ) shows relatively good convergence (see Figure 32, Fox et al. 2021b), also one limiting distributions Burrr Type 3 distribution implemented ssdtools, retained default model set. Gompertz Weibull distributions, however can exhibit unstable behaviour, sometimes showing poor convergence, therefore excluded default set (see Figure 32, Fox et al. 2021b)","code":""},{"path":"/articles/distributions.html","id":"burr-iii-distribution","dir":"Articles","previous_headings":"Distributions for SSD modelling","what":"Burr III distribution","title":"Distributions in ssdtools","text":"history Burrlioz primary distributions used recently summmarized Fox et al. (2021a). “2000, Australia New Zealand (Australian New Zealand Environment Conservation Council/Agriculture Resource Management Council Australia New Zealand 2000) adopted SSD‐based method deriving WQBs, following critical review multiple WQB derivation methods (Warne 1998). distinct feature method use 3‐parameter Burr distribution model empirical SSD, implemented Burrlioz software tool (Campbell et al. 2000). represented generalization methods previously employed Aldenberg Slob (1993) log–logistic distribution shown speciﬁc case Burr family (Tadikamalla 1980). Recent revision derivation method recognized using 3‐parameter Burr distributions small sample sizes (<8 species) created additional uncertainty estimating parameters justiﬁed, essentially overﬁtting data (Batley et al. 2018). Consequently, method, updated software (Burrlioz Ver 2.0), now uses 2‐parameter log–logistic distribution small data sets, whereas Burr type III distribution used data sets 8 species (Batley et al. 2018; Australian New Zealand Guidelines 2018).”         (Fox et al. 2021a) probability density function, fX(x;b,c,k){f_X}(x;b,c,k) cumulative distribution function, FX(x;b,c,k){F_X}(x;b,c,k) Burr III distribution :  Burr type III distribution adopted default distribution Burrlioz, well known (e.g., Tadikamalla (1980)) Burr III distribution related several theoretical distributions, exist limiting cases Burr III, .e., one Burr III parameters approaches either zero infinity. Burrlioz software incorporates logic aims identify situations parameter estimates tending towards either large small values. cases, fitting Burr III distribution abandoned one limiting distributions fitted instead. Specifically: c tends infinity Burr III distribution tends inverse (North American) Pareto distribution (see technical details) k tends infinity Burr III distribution tends inverse Weibull (log-Gumbel) distribution (see technical details) practical terms, Burr III distribution fitted k estimated greater 100, estimation procedure carried using inverse Weibull distribution. Similarly, c greater 80 (American) Pareto distribution fitted. necessary ensure numerical stability. Since Burr type III, inverse Pareto inverse Weibull (log Gumbel) distributions used Burrlioz software, implemented ssdtools. However, found stability issues Burr type III, well inverse Pareto distributions, currently precludes inclusion default model set (see Fox et al. (2021b), details).","code":""},{"path":"/articles/distributions.html","id":"bimodal-distributions","dir":"Articles","previous_headings":"Distributions for SSD modelling","what":"Bimodal distributions","title":"Distributions in ssdtools","text":"use statistical mixture-models promoted Fox convenient realistic way modelling bimodal toxicity data (Fisher et al. 2019). Although parameter heavy, statistical mixture models provide better conceptual match inherent underlying data generating process since directly model bimodality mixture 2 underlying univariate distributions represent, example, different modes action (Fox et al. 2021a). postulated mixture-model selected model-averaging context fit afforded mixture demonstrably better fit afforded single distribution. consequence high penalty AICc associated increased number parameters (p Equation 7 (Fox et al. 2021a)) pronounced relatively small sample sizes. TMB version ssdtools now includes option fitting two mixture distributions, individually part model average set. can fitted using ssdtools supplying strings “llogis_llogis” /“lnorm_lnorm” dists argument ssd_fit_dists call. underlying code mixtures three components: likelihood function required TMB; exported R functions allow usual methods distribution called (p, q r); set supporting R functions (see Fox et al. (2021b) Appendix D details). mixtures five parameters - two parameters component distributions mixing parameter (pmix) defines weighting two distributions ‘mixture.’","code":""},{"path":"/articles/distributions.html","id":"sample-lognormal-mixture-distributions","dir":"Articles","previous_headings":"Distributions for SSD modelling > Bimodal distributions","what":"Sample lognormal mixture probability density and cumulative distribution functions","title":"Distributions in ssdtools","text":"can see plot , mixture distributions provide highly flexible means modelling bimodality emprical SSD. happens, example, toxicity data toxicant include animal plant species, different modes action operating. Unfortunately, increased flexibilty comes high penalty model-averaging process. combination small sample sizes high parameter count (typically 5 ) means mixture distributions -weighted - even good job describing data. reason, attempting model bimodal data, suggest looking fit using default set distributions examining fit just one either log-normal mixture log-logistic mixture. Keep mind done sample size pathologically small. guide, Prof. David Fox recommends absolute minimum n≥3k+1n \\ge 3k + 1 preferably n≥5k+1n \\ge 5k + 1 kk number model parameters.","code":""},{"path":"/articles/distributions.html","id":"default-distributions","dir":"Articles","previous_headings":"","what":"Default Distributions","title":"Distributions in ssdtools","text":"variety distributions available ssdtools, inclusion estimating model-averaged SSD recommended. default, ssdtools uses (corrected) Akaike Information Criterion small sample size (AICc) measure relative quality fit different distributions basis calculating model-averaged weights. However, choice distributions used fit model-averaged SSD can profound effect estimated HCx values. Deciding final default set distributions adopt using model averaging approach non-trivial, acknowledge probably definitive ‘solution’ issue. However, default set underpinned guiding principle parsimony, .e., set large necessary cover wide variety distributional shapes contingencies bigger. , default set result model-averaged estimates HCx values : 1) minimise bias; 2) actual coverages confidence intervals close nominal level confidence; 3) estimated HCx confidence intervals HCx robust small changes data; 4) represent positively continuous distribution right left tails. ssdtools development team undertaken extensive simulation studies, well detailed technical examinations various candidate distributions examine issues bias, coverage numerical stability. detailed account findings can found report (Fox et al. 2021b) repeated detail , although issues associated individual distributions outlined .","code":""},{"path":"/articles/distributions.html","id":"currently-recommended-default-distributions","dir":"Articles","previous_headings":"Default Distributions","what":"Currently recommended default distributions","title":"Distributions in ssdtools","text":"default list candidate distributions ssdtools comprised following: log-normal; log-logistic; gamma; inverse Weibull (log-Gumbel); Weibull; mixture two log-normal distributions default distributions plotted mean 2 standard deviation 2 (natural) log concentration scale around 7.4 concentration scale.","code":""},{"path":"/articles/distributions.html","id":"distributions-currently-implemented-in-ssdtools","dir":"Articles","previous_headings":"","what":"Distributions currently implemented in ssdtools","title":"Distributions in ssdtools","text":"Developed Joe Thorley, Rebecca Fisher, David Fox, Carl Schwarz, Province British Columbia, Environment Climate Change Canada, Australian Government Department Climate Change, Energy, Environment Water. Site built pkgdown 2.1.1.","code":""},{"path":"/articles/distributions.html","id":"burr-type-iii-distribution","dir":"Articles","previous_headings":"Distributions currently implemented in ssdtools","what":"Burr Type III distribution","title":"Distributions in ssdtools","text":"Burr Type 3 flexible three parameter distribution can fitted using ssdtools supplying string burrIII3 dists argument ssd_fit_dists call. Burr family distributions central derivation guideline values Australia New Zealand 20 yr (Fox et al. 2021a). offering high degree ﬂexibility, experience distributions time repeatedly highlighted numerical stability convergence issues parameters estimated using maximum likelihood (Fox et al. 2021a). thought due high degree collinearity parameter estimates /relatively ﬂat likelihood proﬁles (Fox et al. 2021a), one motivations behind logic coded Burrlioz revert either two limiting distributions. Burr Type 3 distribution currently one recommended distributionsin default model set. 1) convergence issues associated Burr Type 3 distribution, 2) fact reverting limiting two parameter distribution fit easily within model averaging framework, 3) one two limiting distributions (inverse Pareto, see ) also estimation convergence issues.","code":""},{"path":"/articles/distributions.html","id":"log-normal","dir":"Articles","previous_headings":"Distributions currently implemented in ssdtools","what":"Log-normal","title":"Distributions in ssdtools","text":"log-normal distribution commonly used distribution natural sciences - particularly probability model describe right (positive)-skewed pehnomena concentration data. random variable, XX lognormally distributed logarithm XX normally distributed. pdf XX given lognormal distribution selected starting distribution given data effect concentrations. log-normal distribution can fitted using ssdtools supplying string lnorm dists argument ssd_fit_dists call.","code":""},{"path":"/articles/distributions.html","id":"log-logistic-distribution","dir":"Articles","previous_headings":"Distributions currently implemented in ssdtools","what":"Log-logistic distribution","title":"Distributions in ssdtools","text":"Like lognormal distribution, log-logistic similarly defined, : XX log-logistic distribution, Y=ln(X)Y = \\ln (X) logistic distribution. letting μ=ln(α)\\mu  = \\ln \\left( \\alpha  \\right) s=1βs = \\frac{1}{\\beta } : log-logistic distribution often used candidate SSD primarily analytic tractability (Aldenberg Slob 1993). included wider tails log-normal specific case general Burr family distributions Burr (1942). log-logistic distribution can fitted using ssdtools supplying string lnorm dists argument ssd_fit_dists call.","code":""},{"path":"/articles/distributions.html","id":"gamma-distribution","dir":"Articles","previous_headings":"Distributions currently implemented in ssdtools","what":"Gamma distribution","title":"Distributions in ssdtools","text":"two-parameter gamma distribution following pdf cdf. Γ(⋅)\\Gamma \\left(  \\cdot  \\right) gamma function (R simply gamma(x)) γ(⋅)\\gamma \\left(  \\cdot  \\right) (lower) incomplete gamma function γ(x,)=∫0xta−1e−tdt\\gamma \\left( {x,} \\right) = \\int\\limits_0^x {{t^{- 1}}} \\,{e^{ - t}}\\,dt (can computed using gammainc function pracma package R). use modeling species sensitivity data, gamma distribution two key features provide additional flexibility relative log-normal distribution: 1) asymmetrical logarithmic scale; 2) wider tails. gamma distribution can fitted using ssdtools supplying string “gamma” dists argument ssd_fit_dists call.","code":""},{"path":"/articles/distributions.html","id":"log-gumbel-inverse-weibull-distribution","dir":"Articles","previous_headings":"Distributions currently implemented in ssdtools","what":"Log-gumbel (inverse Weibull) distribution","title":"Distributions in ssdtools","text":"log-gumbel distribution two-parameter distribution commonly used model extreme values. log-gumbel distribution can fitted using ssdtools supplying string lgumbel dists argument ssd_fit_dists call. two-parameter log-gumbel distribution following pdf cdf:","code":""},{"path":"/articles/distributions.html","id":"gompertz-distribution","dir":"Articles","previous_headings":"Distributions currently implemented in ssdtools","what":"Gompertz distribution","title":"Distributions in ssdtools","text":"Gompertz distribution flexible distribution exhibits positive negative skewness. Gompertz distribution can fitted using ssdtools supplying string gompertz dists argument ssd_fit_dists call. condiser two parameterisations Gompertz distribution.first, given Wikipedia also used ssdtools [Gompertz] following pdf cdf: second parameterisation product bηb\\eta formulae replaced parameter aa giving:  Gompertz distribution available ssdtools, however parameter estimation can somewhat unstable (Fox et al. 2021b), reason currently included default set.","code":""},{"path":"/articles/distributions.html","id":"weibull-distribution","dir":"Articles","previous_headings":"Distributions currently implemented in ssdtools","what":"Weibull distribution","title":"Distributions in ssdtools","text":"inclusion Weibull distribution inverse Pareto distribution (see next) ssdtools primarily necessitated need maintain consistency calculations undertaken Burrlioz. mentioned earlier, Weibull inverse Pareto distributions arise limiting distributions Burr parameters cc kk tend either zero /infinity specific ways. two-parameter Weibull distribution following pdf cdf: Weibull distribution can fitted ssdtools supplying string weibull dists argument ssd_fit_dists call.","code":""},{"path":"/articles/distributions.html","id":"inverse-pareto-distribution","dir":"Articles","previous_headings":"Distributions currently implemented in ssdtools","what":"Inverse Pareto distribution","title":"Distributions in ssdtools","text":"inverse Pareto distribution can fitted using ssdtools supplying string invpareto dists argument ssd_fit_dists call. inverse Pareto distribution implemented Burrlioz 2.0 software, important understand done one limiting Burr distributions (see technical details). inverse Pareto offered stand-alone option Burrlioz 2.0 software. spent considerable time effort exploring properties inverse Pareto distribution, including deriving bias correction equations alternative methods deriving confidence intervals (Fox et al. 2021b). work substantial value improving current Burrlioz 2.0 method, bias corrections adopted deriving HCx estimates inverse Pareto parameters estimated using maximum likelihood. case Burrlioz 2.0 software, decided include inverse Pareto distribution default candidate set ssdtools although offered ass user-selectable distribution use model-fitting process. many statistical distributions, different ‘variants’ exist. ‘variants’ much different distributions simple re-parameterisations. example, many distributions scale parameter, β\\beta authors texts use β\\beta others use 1β\\frac{1}{\\beta }. example re-paramterisation given Gompertz distribution. choice mathematical representation may purely preferential, sometimes done mathematical convenience. example, Parameterisation Gompertz distribution obtained letting =bηa = b\\eta Parameterisation II. re-expression involving parameters bb η\\eta particularly useful trying fit distribution one {b,η}\\left\\{ {b,\\,\\eta } \\right\\} small large. already noted particular parameterisation (Inverse)Pareto distribution used Burrlioz 2.0 ssdtools matter preference, rather dictated mathematical considerations demonstrated convergence Burr distribution one specific version (Inverse)Pareto distribution. mathematics provides elegant solution otherwise problematic situation, version (Inverse)Pareto distribution particularly use stand-alone distribution fitting SSD (special, limiting case Burr distribution). two versions (Inverse)Pareto distribution known European North American versions. pdfs cdfs given . Importantly, see North American versions distributions bounded Pareto distribution bounded β\\beta inverse Pareto distribution bounded 1β\\frac{1}{\\beta }.aside, mle β\\beta Pareto distribution β̂=min{X1,…,Xn}\\hat \\beta  = \\min \\left\\{ {{X_1}, \\ldots ,{X_n}} \\right\\} mle 1β\\frac{1}{\\beta } inverse Pareto β̃=max{Y1,…,Yn}=max{1X1,…,1Xn}=1min{X1,…,Xn}=1β̂\\begin{array}{*{20}{l}} {\\tilde \\beta  = \\max \\left\\{ {{Y_1}, \\ldots ,{Y_n}} \\right\\}}\\\\ {\\quad  = \\max \\left\\{ {\\frac{1}{{{X_1}}}, \\ldots ,\\frac{1}{{{X_n}}}} \\right\\} = \\frac{1}{{\\min \\left\\{ {{X_1}, \\ldots ,{X_n}} \\right\\}}}}\\\\ {\\quad  = \\frac{1}{{\\hat \\beta }}} \\end{array}. mle α\\alpha : α̂=[ln(gβ̂)]−1\\hat \\alpha  = {\\left[ {\\ln \\left( {\\frac{g}{{\\hat \\beta }}} \\right)} \\right]^{ - 1}} gg geometric mean: g=[∏=1nXi]1ng = {\\left[ {\\prod\\limits_{= 1}^n {{X_i}} } \\right]^{\\frac{1}{n}}} Thus, doesn’t matter whether ’re fitting Pareto inverse Pareto distribution data - parameter estimates . bounded, North American version (Inverse)Pareto distribution useful stand-alone SSD - inverse Pareto distribution since bounded .  see pdf plots  alternative, European version inverse Pareto distribution realistic candidate. note passing versions Pareto inverse Pareto distrbutions availabale R. example, Rpackage extraDistr North American versions, actuar package European versions.","code":""},{"path":"/articles/distributions.html","id":"inverse-weibull-distribution-see-log-gumbel-above","dir":"Articles","previous_headings":"Distributions currently implemented in ssdtools","what":"Inverse Weibull distribution (see log-Gumbel, above)","title":"Distributions in ssdtools","text":"inverse Weibull mathematically equivalent log-Gumbel distribution described . also limiting distribution Burr Type 3, distribution show instability issues, unbounded right. therefore represents valid SSD distribution included default model set distribution right. inverse Weibull (log-Gumbel) distribution can fitted ssdtools supplying string lgumbel dists argument ssd_fit_dists call.","code":""},{"path":"/articles/distributions.html","id":"relationships-among-distributions-in-ssdtools","dir":"Articles","previous_headings":"","what":"Relationships among distributions in ssdtools","title":"Distributions in ssdtools","text":"diagram , XX denotes random variable box beginning arrow expression beside arrow indicates mathematical transformation XX resultant transformed data distribution identified box end arrow. Reciprocal transformations (1X\\frac{1}{X}) bi-directional (↔\\leftrightarrow). Although negative exponential distribution explicitly included ssdtools, special case gamma distribution c=1c=1. included figure related distributions included ssdtools. European versions Pareto inverse Pareto distributions unbounded; North American versions bounded.","code":""},{"path":[]},{"path":"/articles/distributions.html","id":"licensing","dir":"Articles","previous_headings":"","what":"Licensing","title":"Distributions in ssdtools","text":"Copyright 2018-2024 Province British Columbia Copyright 2021 Environment Climate Change Canada Copyright 2023-2024 Australian Government Department Climate Change, Energy, Environment Water documentation released CC 4.0 License code released Apache License 2.0","code":""},{"path":"/articles/faqs.html","id":"how-can-i-plot-the-model-averaged-fit-with-individual-fits","dir":"Articles","previous_headings":"","what":"How can I plot the model averaged fit with individual fits?","title":"Frequently Asked Questions","text":"","code":"library(ssdtools)  dist <- ssd_fit_dists(ssddata::ccme_boron) ssd_plot_cdf(dist, average = NA)"},{"path":"/articles/faqs.html","id":"how-do-i-fit-distributions-to-multiple-groups-such-taxa-andor-chemicals","dir":"Articles","previous_headings":"","what":"How do I fit distributions to multiple groups such taxa and/or chemicals?","title":"Frequently Asked Questions","text":"elegant approach using tidyverse packages demonstrated . resultant data predictions can plotted follows.","code":"library(ssddata) library(ssdtools) library(ggplot2) library(dplyr) library(tidyr) library(purrr)  boron_preds <- nest(ccme_boron, data = c(Chemical, Species, Conc, Units)) %>%   mutate(     Fit = map(data, ssd_fit_dists, dists = \"lnorm\"),     Prediction = map(Fit, predict)   ) %>%   unnest(Prediction) ssd_plot(ccme_boron, boron_preds, xlab = \"Concentration (mg/L)\", ci = FALSE) +   facet_wrap(~Group)"},{"path":"/articles/faqs.html","id":"how-do-i-allow-mathematical-expressions-in-the-xlabel-when-using-ssd_plot","dir":"Articles","previous_headings":"","what":"How do I allow mathematical expressions in the xlabel when using ssd_plot()?","title":"Frequently Asked Questions","text":"","code":"library(ggplot2) library(latex2exp)  ssd_plot(ssddata::ccme_boron, ssdtools::boron_pred, label = \"Species\", shape = \"Group\") +   scale_x_continuous(TeX(\"Boron $(\\\\mu g$/L)$\"), breaks = c(1, 10, 100, 1000, 10000)) #> Scale for x is already present. #> Adding another scale for x, which will replace the existing scale."},{"path":"/articles/faqs.html","id":"licensing","dir":"Articles","previous_headings":"","what":"Licensing","title":"Frequently Asked Questions","text":"Copyright 2018-2024 Province British Columbia Copyright 2021 Environment Climate Change Canada Copyright 2023-2024 Australian Government Department Climate Change, Energy, Environment Water documentation released CC 4.0 License code released Apache License 2.0","code":""},{"path":"/articles/model-averaging.html","id":"background","dir":"Articles","previous_headings":"","what":"Background","title":"Model Averaged SSDs","text":"“Many authors noted guiding theory ecotoxicology justify particular distributional form SSD domain restricted positive real line (Newman et al. 2000), (Zajdlik 2005), (Chapman et al. 2007), (Fox 2016). Indeed, (Chapman et al. 2007) described identification suitable probability model one important difficult choices use SSDs. Compounding lack clarity functional form SSD omnipresent, equally vexatious issue small sample size, meaning plausible candidate model unlikely rejected (Fox et al. 2021a). ssdtools R package uses model averaging procedure avoid need -priori select candidate distribution instead uses measure ‘fit’ model compute weights applied initial set candidate distributions. method, applied SSD context described detail (Fox et al. 2021a), potentially provides level flexibility parsimony difficult achieve single SSD distribution”.         (Fox et al. 2021b)","code":""},{"path":"/articles/model-averaging.html","id":"preliminaries","dir":"Articles","previous_headings":"","what":"Preliminaries","title":"Model Averaged SSDs","text":"’re familiar process averaging. Indeed, averages pervasive everyday life - talk average income; mean sea level; average global temperature; average height, weight, age etc. etc. ’s obsession averaging? ’s simple really - ’s statisticians call data reduction just fancy name describe process summarising lot raw data using small number (hopefully) representative summary statistics mean standard deviation. Clearly, ’s lot easier work just single mean individual data values. ’s upside. downside process data reduction decimates original data - lose information process. Nevertheless, benefits tend outweigh information loss. Indeed, much ‘conventional’ statistical theory practice focused mean. Examples include T-tests, ANOVA, regression, clustering. talk ‘average’ usually referring simple, arithmetic mean:X‾=1n∑=1nXi\\bar{X}=\\frac{1}{n}\\sum\\limits_{=1}^{n}{{{X}_{}}} although recognize types mean including geometric mean, harmonic mean weighted mean. last particularly pertinent model averaging.","code":""},{"path":"/articles/model-averaging.html","id":"weighted-averages","dir":"Articles","previous_headings":"Preliminaries The pros and cons of averaging","what":"Weighted Averages","title":"Model Averaged SSDs","text":"simple arithmetic mean, individual values receive weighting - contribute 1n\\frac{1}{n} summation. appropriate many cases, ’s useful components contribute varying degrees. example familiar ecotoxicologists time-varying concentration shown figure .  figure see 5 concentrations going left right: {0.25,0.95,0.25,0.12,0.5}\\left\\{ 0.25,0.95,0.25,0.12,0.5 \\right\\}. take simple arithmetic mean concentrations get X‾=0.414\\bar{X}=0.414. ignores different durations 5 concentrations. 170 hours, 63 concentration 0.25, 25 concentration 0.95, 23 concentration 0.25, 23 concentration 0.12, 36 concentration 0.50. weight concentrations time :X‾TW=(63⋅0.25+25⋅0.95+23⋅0.25+23⋅0.12+36⋅0.50)(63+25+23+23+36)=56.01170=0.33{{{\\bar{X}}}_{TW}}=\\frac{\\left( 63\\cdot 0.25+25\\cdot 0.95+23\\cdot 0.25+23\\cdot 0.12+36\\cdot 0.50 \\right)}{\\left( 63+25+23+23+36 \\right)}=\\frac{56.01}{170}=0.33So, formula weighted average :X‾=∑=1nwiXi\\bar{X}=\\sum\\limits_{=1}^{n}{{{w}_{}}{{X}_{}}} 0≤wi≤10\\le {{w}_{}}\\le 1 ∑=1nwi=1\\sum\\limits_{=1}^{n}{{{w}_{}}=1}.Note, simple arithmetic mean just special case weighted mean ∑=1nwi=1n\\sum\\limits_{=1}^{n}{{{w}_{}}=\\frac{1}{n}} ; ∀=1,…,n\\forall =1,\\ldots ,n","code":""},{"path":"/articles/model-averaging.html","id":"model-averaging","dir":"Articles","previous_headings":"","what":"Model Averaging","title":"Model Averaged SSDs","text":"weighted average acknowledges elements computation equal ‘importance’. example , importance based proportion time concentration particular level. Bayesians well-versed concept - elicitation prior distributions model parameters provides mechanism weighting degree analysis informed existing knowledge versus using purely data-driven approach. Model averaging usually used context estimating model parameters quantities derived fitted model - example EC50 derived C-R model. Let’s motivate discussion using following small dataset toxicity estimates chemical. Now, suppose two possibilities fitting SSD - lognormal distributions. Model 1 LN(-1.067,0.414) distribution Model 2 LN(-0.387,0.617) distribution. plot empirical cdf Models 1 2 shown . Emprirical cdf (black); Model 1(green); Model 2 (blue) see Model 1 fits well lower, left region poorly upper region, reverse true Model 2. using either Model 1 Model 2 going result poor fit overall. However, obvious thing combine models. just try using 50% Model 1 50% Model 2, may sub-optimal. turns best fit obtained using 44% Model 1 56% Model 2. Redrawing plot adding weighted average Models 1 2 shown . Empirical cdf (black); Model 1(green); Model 2 (blue); averaged Model (red) Clearly strategy worked - now excellent fitting SSD.estimation HC20? ’s simple matter work individual HC20 values Models 1&2 using appropriate qlnorm() function R. Thus : averaged distribution? intuitively appealing approach apply weights individual HC20 values applied respective models. 0.44*0.2428209 + 0.56*0.4040243 = 0.33. model-averaged HC20 estimate 0.33. check, can determine fraction affected concentration = 0.33 - course 20%. Let’s take look plot.  Something’s wrong - fraction affected concentration 0.33 30% - required 20%. issue taken next section","code":"#>  [1] 1.73 0.57 0.33 0.28 0.30 0.29 2.15 0.80 0.76 0.54 0.42 0.83 0.21 0.18 0.59 # Model 1 HC20 cat(\"Model 1 HC20 =\", qlnorm(0.2, -1.067, 0.414)) #> Model 1 HC20 = 0.2428209  # Model 2 HC20 cat(\"Model 2 HC20 =\", qlnorm(0.2, -0.387, 0.617)) #> Model 2 HC20 = 0.4040243"},{"path":"/articles/model-averaging.html","id":"model-averaged-ssds","dir":"Articles","previous_headings":"","what":"Model Averaged SSDs","title":"Model Averaged SSDs","text":"correct expression model-averaged SSD : G(x)=∑=1kwiFi(x)G\\left( x \\right) = \\sum\\limits_{= 1}^k {{w_i}} {F_i}\\left( x \\right) Fi(⋅){F_i}\\left(  \\cdot  \\right) ith component SSD (.e. cdf) wi weight assigned Fi(⋅){F_i}\\left(  \\cdot  \\right). Notice function G(x)G\\left( x \\right) proper cumulative distribution function (cdf) means given quantile, x, G(x)G\\left( x \\right) returns cumulative probability: P[X≤x]P\\left[ {X \\leqslant x} \\right] Now, incorrect approach takes weighted sum component inverse cdf’s, : Now, correct method determining HCx work proper model-averaged cdf G(x)G\\left( x \\right). means finding inverse function G−1(p){G^{ - 1}}\\left( p \\right). ’ll address moment. example, consider two complex numbers = (5−)2 b=−1.683−1.915i{\\text{= }}\\frac{{\\left( {5 - } \\right)}}{2}{\\text{       }}b =  - 1.683 - 1.915i can shown 1a+b=1a+1b=0.126+0.372i\\frac{1}{{+ b}} = \\frac{1}{} + \\frac{1}{b} = 0.126 + 0.372i Back issue hand, since ’re dealing complex numbers, ’s safe say:G−1(p)≠H(p){G^{ - 1}}\\left( p \\right) \\ne H\\left( p \\right) need visual demonstration, can plot G(x)G\\left( x \\right) inverse H(p)H\\left( p \\right) functions x (quantile) two-component lognormal distribution .   next discuss use model-averaged SSD obtain correct model-averaged HCx.","code":""},{"path":"/articles/model-averaging.html","id":"computing-a-model-averaged-hcx","dir":"Articles","previous_headings":"","what":"Computing a model-averaged HCx","title":"Model Averaged SSDs","text":"formally, inversion principle states HCx (denoted φx{\\varphi _x}) must satisfy following: df(φx)=xandqf(x)=φxdf\\left( {{\\varphi _x}} \\right) = x\\quad \\quad \\quad \\quad qf\\left( x \\right) = {\\varphi _x} df(⋅)df\\left(  \\cdot  \\right) model-averaged distribution function (.e. SSD) qf(⋅)qf\\left(  \\cdot  \\right) model-averaged quantile function. equality hold, necessary qf(p)=df−1(p)qf\\left( p \\right) = d{f^{ - 1}}\\left( p \\right). ssdtools following check inversion principle holds:  Note: multi_est argument set FALSE test fail.  inversion principle ensures use single distribution function compute HCx fraction affected. Referring figure , HCx obtained MA-SSD (red curve) following → arrows fraction affected obtained following ← arrows.  Finally, ’ll briefly discuss HCx computed R using method implemented ssdtools.","code":"# Obtain a model-averaged HCx using the ssd_hc() function hcp<-ssd_hc(x, p = p) # Check that the inversion principle holds ssd_hp(x, hcp, multi_est = TRUE) == p   # this should result in logical `TRUE`"},{"path":"/articles/model-averaging.html","id":"computing-the-hcx-in-rssdtools","dir":"Articles","previous_headings":"Computing a model-averaged HCx","what":"Computing the HCx in R/ssdtools","title":"Model Averaged SSDs","text":"Obviously, need able ‘codify’ process R (computer language).Mathematically equivalent seeking solution following equation:x:G(x)=p{x:G\\left( x \\right) = p} , equivalently:x:G(x)−p=0x:G\\left( x \\right) - p = 0 fraction affected, pp.  Finding solution last equation referred finding root(s) function G(x)G\\left( x \\right) , made clear figure , finding zero-crossing function G(x)G\\left( x \\right) case p=0.2p=0.2.  R finding roots x:G(x)−p=0x:G\\left( x \\right) - p = 0 achieved using uniroot() function. Help uniroot function can found ","code":""},{"path":"/articles/model-averaging.html","id":"where-do-the-model-averaged-weights-come-from","dir":"Articles","previous_headings":"","what":"Where do the model-averaged weights come from?","title":"Model Averaged SSDs","text":"little complex, although ’ll try provide non-mathematical explanation. interested going deeper, comprehensive treatment can found (Burnham Anderson 2002) (Fletcher 2018).  time, ’ll look fitting gamma, lognormal, pareto distribution sample data: adequacy (otherwise) fitted model can assessed using variety numerical measures known goodness--fit GoF statistics. invariably based measure discrepancy emprical data hypothesized model. Common GoF statistics used test whether hypothesis specified theoretical probability distribution plausible given data set include: Kolmogorov-Smirnov test; Anderson-Darling test; Shapiro-Wilk test;Cramer-von Mises test. Cramer-von Mises test good choice readily performed using cvm.test() function goftest package R follows: output using level significance p=0.05p = 0.05, see none distributions implausible. However, forced choose just one distribution, choose Pareto distribution (smaller values omega2max statistic better). However, mean gamma lognormal distributions value describing data. can see plot , fact gamma lognormal distributions reasonable job range toxicity values. use Pareto may questionable choice given truncated 0.18 (minimum value toxicity data). Emprirical cdf (black); lognormal (green); gamma (blue); Pareeto (red) earlier example, might expect find better fitting distribution combining three distributions using weighted SSD. issue face now choose weights reflect relative fits three distributions? Like tests statistical significance, p-value computed value relevant test statistic - case, value omega2max test statistic. particular test, ’s case smaller better. output see omega2max values 0.3440.344 gamma distribution, 0.3280.328 lognormal distribution, 0.3140.314 Pareto distribution. might somewhat naively compute relative weights :w1=0.344−1(0.344−1+0.328−1+0.314−1)=0.318{w_1} = \\frac{{{{0.344}^{ - 1}}}}{{\\left( {{{0.344}^{ - 1}} + {{0.328}^{ - 1}} + {{0.314}^{ - 1}}} \\right)}} = 0.318         w2=0.328−1(0.344−1+0.328−1+0.314−1)=0.333{w_2} = \\frac{{{{0.328}^{ - 1}}}}{{\\left( {{{0.344}^{ - 1}} + {{0.328}^{ - 1}} + {{0.314}^{ - 1}}} \\right)}} = 0.333     w3=0.314−1(0.344−1+0.328−1+0.314−1)=0.349{w_3} = \\frac{{{{0.314}^{ - 1}}}}{{\\left( {{{0.344}^{ - 1}} + {{0.328}^{ - 1}} + {{0.314}^{ - 1}}} \\right)}} = 0.349    (use reciprocals since smaller values omega2max represent better fits). seen shortly - incorrect. However, based simplistic measure discrepancy observed hypothesized distributions, omega2max statistic fairly ‘blunt instrument’ grounding information theory basis determining weights seek. discussion information theoretic methods assessing goodness--fit beyond scope vignette. Interested readers consult (Burnham Anderson 2002). commonly used metric determine model-average weights Akaike Information Criterion AIC. formula AICAIC : AIC=2k−2ln(ℓ)AIC = 2k - 2\\ln \\left( \\ell  \\right)  likelihood three distributions can computed R follows: AIC values readily follow:  omega2max statistic, smaller values AIC better. Thus, comparison AIC values gives ranking distributional fits (best worst) : Pareto > lognormal > gamma","code":"#>  [1] 1.73 0.57 0.33 0.28 0.30 0.29 2.15 0.80 0.76 0.54 0.42 0.83 0.21 0.18 0.59 dat <- data.frame(Conc = c(1.73, 0.57, 0.33, 0.28, 0.3, 0.29, 2.15, 0.8, 0.76, 0.54, 0.42, 0.83, 0.21, 0.18, 0.59)) library(goftest) library(EnvStats) # this is required for the Pareto cdf (ppareto)  # Examine the fit for the gamma distribution (NB: parameters estimated from the data) cvm.test(dat$Conc, null = \"pgamma\", shape = 2.0591977, scale = 0.3231032, estimated = TRUE)  # Examine the fit for the lognormal distribution (NB: parameters estimated from the data) cvm.test(dat$Conc, null = \"plnorm\", meanlog = -0.6695120, sd = 0.7199573, estimated = TRUE)  # Examine the fit for the Pareto distribution (NB: parameters estimated from the data) cvm.test(dat$Conc, null = \"ppareto\", location = 0.1800000, shape = 0.9566756, estimated = TRUE) Cramer-von Mises test of goodness-of-fit     Braun's adjustment using 4 groups     Null hypothesis: Gamma distribution     with parameters shape = 2.0591977, scale = 0.3231032     Parameters assumed to have been estimated from data  data:  dat$Conc omega2max = 0.34389, p-value = 0.3404       Cramer-von Mises test of goodness-of-fit     Braun's adjustment using 4 groups     Null hypothesis: log-normal distribution     with parameter meanlog = -0.669512     Parameters assumed to have been estimated from data  data:  dat$Conc omega2max = 0.32845, p-value = 0.3719       Cramer-von Mises test of goodness-of-fit     Braun's adjustment using 4 groups     Null hypothesis: distribution ‘ppareto’     with parameters location = 0.18, shape = 0.9566756     Parameters assumed to have been estimated from data  data:  dat$Conc omega2max = 0.31391, p-value = 0.4015 sum(log(dgamma(dat$Conc, shape = 2.0591977, scale = 0.3231032))) #> [1] -7.020597 sum(log(dlnorm(dat$Conc, meanlog = -0.6695120, sdlog = 0.7199573))) #> [1] -5.812947 sum(log(EnvStats::dpareto(dat$Conc, location = 0.1800000, shape = 0.9566756))) #> [1] -5.621683 #> AIC for gamma distribution = 18.04119 #> AIC for lognormal distribution = 15.62589 #> AIC for Pareto distribution = 15.24337"},{"path":"/articles/model-averaging.html","id":"computing-model-weights-from-the-aic","dir":"Articles","previous_headings":"Where do the model-averaged weights come from?","what":"Computing model weights from the AIC","title":"Model Averaged SSDs","text":"simply provide formula computing model weights AIC values. detailed information can found . AIC ith distribution fitted data AICi=2ki−2ln(Li)AI{C_i} = 2{k_i} - 2\\ln \\left( {{L_i}} \\right)   Li{L_i} ith likelihood ki{k_i} number parameters ith distribution. Next, form differences:Δi=AICi−AIC0{\\Delta _i} = AI{C_i} - AI{C_0} AIC0AI{C_0} AIC best-fitting model (.e.AIC0=mini{AICi}AI{C_0} = \\mathop {\\min }\\limits_i \\left\\{ {AI{C_i}} \\right\\} ). model-averaged weights wi{w_i} computed :  model-averaged weights gamma, lognormal, Pareto distributions used previous example can computed ‘manually’ R follows: Finally, let’s look fitted model-averaged SSD: Empirical cdf (black) model-averaged fit (magenta) can seen figure , model-averaged fit provides good fit empirical data.","code":"dat <- c(1.73, 0.57, 0.33, 0.28, 0.3, 0.29, 2.15, 0.8, 0.76, 0.54, 0.42, 0.83, 0.21, 0.18, 0.59) aic <- NULL k <- 2 # number of parameters for each of the distributions   aic[1] <- 2 * k - 2 * sum(log(dgamma(dat, shape = 2.0591977, scale = 0.3231032))) # Gamma distribution  aic[2] <- 2 * k - 2 * sum(log(dlnorm(dat, meanlog = -0.6695120, sdlog = 0.7199573))) # lognormal distribution  aic[3] <- 2 * k - 2 * sum(log(EnvStats::dpareto(dat, location = 0.1800000, shape = 0.9566756))) # Pareto distribution  delta <- aic - min(aic) #  compute the delta values  aic.w <- exp(-0.5 * delta) aic.w <- round(aic.w / sum(aic.w), 4)  cat(   \" AIC weight for gamma distribution =\", aic.w[1], \"\\n\",   \"AIC weight for lognormal distribution =\", aic.w[2], \"\\n\",   \"AIC weight for pareto distribution =\", aic.w[3], \"\\n\" ) AIC weight for gamma distribution = 0.1191   AIC weight for lognormal distribution = 0.3985   AIC weight for pareto distribution = 0.4824"},{"path":"/articles/model-averaging.html","id":"correcting-for-distributions-having-differing-numbers-of-parameters","dir":"Articles","previous_headings":"Where do the model-averaged weights come from?","what":"Correcting for distributions having differing numbers of parameters","title":"Model Averaged SSDs","text":"deriving AIC, Akaike make certain, strong assumptions. addition, bias factor (2k2k term) derived theoretical considerations (mathematical expectation) relate infinite sample sizes. small sample sizes, AIC likely select models many parameters (.e models -fit) 1978, Sugiura proposed modification AIC address problem, although relied number assumptions. ‘correction’ AIC small samples (referred AICcAI{{C}_{c}}) : clear formula AICcAI{{C}_{c}}   n≫kn\\gg k,    AICc≃AICAI{{C}_{c}}\\simeq AIC. issue sample size ubiquitous statistics, even ecotoxicology logistical practical limitations invariably mean dealing (pathologically) small sample sizes. hard fast rules constitutes appropriate sample size SSD modelling. However, Professor David Fox’s personal rule thumb works quite well : Since common SSD models 2-parameter, aiming sample size least 11. 3-parameter models (like Burr III), minimum sample size 16 wanted fit mixture two, 2-parameter models (eg. logNormal-logNormal logLogistic-logLogistic) sample size least 26. Sadly, rarely case practice!","code":""},{"path":"/articles/model-averaging.html","id":"model-averaging-in-ssdtools","dir":"Articles","previous_headings":"Where do the model-averaged weights come from?","what":"Model-Averaging in ssdtools","title":"Model Averaged SSDs","text":"Please see Getting started ssdtools vignette examples obtaining model-averaged HCx values predictions using ssdtools.","code":""},{"path":[]},{"path":"/articles/model-averaging.html","id":"licensing","dir":"Articles","previous_headings":"","what":"Licensing","title":"Model Averaged SSDs","text":"Copyright 2018-2024 Province British Columbia Copyright 2021 Environment Climate Change Canada Copyright 2023-2024 Australian Government Department Climate Change, Energy, Environment Water documentation released CC 4.0 License code released Apache License 2.0","code":""},{"path":"/articles/ssdtools.html","id":"introduction","dir":"Articles","previous_headings":"","what":"Introduction","title":"Getting Started with ssdtools","text":"ssdtools R package fit Species Sensitivity Distributions (SSDs) using Maximum Likelihood model averaging. SSDs cumulative probability distributions used estimate percent species affected /protected given concentration chemical. concentration affects 5% species referred 5% Hazard Concentration (HC5). equivalent 95% protection value (PC95). information SSDs reader referred Posthuma et al. (2001). order use ssdtools need install R (see ) use Shiny app. shiny app includes user guide. vignette user manual R package.","code":""},{"path":"/articles/ssdtools.html","id":"philosophy","dir":"Articles","previous_headings":"","what":"Philosophy","title":"Getting Started with ssdtools","text":"ssdtools provides key functionality required fit SSDs using Maximum Likelihood model averaging R. intended used conjunction tidyverse packages readr input data, tidyr dplyr group manipulate data ggplot2 (Wickham 2016) plot data. endeavors fulfill tidyverse manifesto.","code":""},{"path":"/articles/ssdtools.html","id":"installing","dir":"Articles","previous_headings":"","what":"Installing","title":"Getting Started with ssdtools","text":"order install R (R Core Team 2018) appropriate binary users operating system downloaded CRAN installed. R installed, ssdtools package can installed (together tidyverse) executing following code R console ssdtools package (ggplot2 package) can loaded current session using","code":"install.packages(c(\"ssdtools\", \"tidyverse\")) library(ssdtools) library(ggplot2)"},{"path":"/articles/ssdtools.html","id":"getting-help","dir":"Articles","previous_headings":"","what":"Getting Help","title":"Getting Started with ssdtools","text":"get additional information particular function just type ? followed name function R console. example ?ssd_gof brings R documentation ssdtools goodness fit function. information using R reader referred R Data Science (Wickham Grolemund 2016). discover bug ssdtools please file issue reprex (repeatable example) https://github.com/bcgov/ssdtools/issues.","code":""},{"path":"/articles/ssdtools.html","id":"inputting-data","dir":"Articles","previous_headings":"","what":"Inputting Data","title":"Getting Started with ssdtools","text":"ssdtools package loaded next task input data. easy way save concentration data single chemical column called Conc comma separated file (.csv). row sensitivity concentration separate species. species /group information available can saved Species Group columns. .csv file can read R using following purposes manual use CCME dataset boron.","code":"data <- read_csv(file = \"path/to/file.csv\") ccme_boron <- ssddata::ccme_boron print(ccme_boron) #> # A tibble: 28 × 5 #>    Chemical Species                  Conc Group        Units #>    <chr>    <chr>                   <dbl> <fct>        <chr> #>  1 Boron    Oncorhynchus mykiss       2.1 Fish         mg/L  #>  2 Boron    Ictalurus punctatus       2.4 Fish         mg/L  #>  3 Boron    Micropterus salmoides     4.1 Fish         mg/L  #>  4 Boron    Brachydanio rerio        10   Fish         mg/L  #>  5 Boron    Carassius auratus        15.6 Fish         mg/L  #>  6 Boron    Pimephales promelas      18.3 Fish         mg/L  #>  7 Boron    Daphnia magna             6   Invertebrate mg/L  #>  8 Boron    Opercularia bimarginata  10   Invertebrate mg/L  #>  9 Boron    Ceriodaphnia dubia       13.4 Invertebrate mg/L  #> 10 Boron    Entosiphon sulcatum      15   Invertebrate mg/L  #> # ℹ 18 more rows"},{"path":"/articles/ssdtools.html","id":"fitting-distributions","dir":"Articles","previous_headings":"","what":"Fitting Distributions","title":"Getting Started with ssdtools","text":"function ssd_fit_dists() inputs data frame fits one distributions. user can specify subset following 10 distributions. Please see Distributions Model averaging vignettes information regarding appropriate use distributions use model-averaged SSDs. using dists argument.","code":"ssd_dists_all() #>  [1] \"burrIII3\"      \"gamma\"         \"gompertz\"      \"invpareto\"     #>  [5] \"lgumbel\"       \"llogis\"        \"llogis_llogis\" \"lnorm\"         #>  [9] \"lnorm_lnorm\"   \"weibull\" fits <- ssd_fit_dists(ccme_boron, dists = c(\"llogis\", \"lnorm\", \"gamma\"))"},{"path":"/articles/ssdtools.html","id":"coefficients","dir":"Articles","previous_headings":"","what":"Coefficients","title":"Getting Started with ssdtools","text":"estimates various terms can extracted using tidyverse generic tidy function (base R generic coef function).","code":"tidy(fits) #> # A tibble: 6 × 4 #>   dist   term           est    se #>   <chr>  <chr>        <dbl> <dbl> #> 1 llogis locationlog  2.63  0.248 #> 2 llogis scalelog     0.740 0.114 #> 3 lnorm  meanlog      2.56  0.235 #> 4 lnorm  sdlog        1.24  0.166 #> 5 gamma  scale       25.1   7.64  #> 6 gamma  shape        0.950 0.223"},{"path":"/articles/ssdtools.html","id":"plots","dir":"Articles","previous_headings":"","what":"Plots","title":"Getting Started with ssdtools","text":"generally informative plot fits using autoplot generic function (wrapper ssd_plot_cdf()). autoplot returns ggplot object can modified prior plotting.","code":"theme_set(theme_bw()) # set plot theme  autoplot(fits) +   ggtitle(\"Species Sensitivity Distributions for Boron\") +   scale_colour_ssd()"},{"path":"/articles/ssdtools.html","id":"selecting-one-distribution","dir":"Articles","previous_headings":"","what":"Selecting One Distribution","title":"Getting Started with ssdtools","text":"Given multiple distributions user faced choosing “best” distribution (discussed averaging results weighted fit). ssd_gof() function returns three test statistics can used evaluate fit various distributions data. Anderson-Darling (ad) statistic, Kolmogorov-Smirnov (ks) statistic Cramer-von Mises (cvm) statistic three information criteria Akaike’s Information Criterion (AIC), Akaike’s Information Criterion corrected sample size (AICc) Bayesian Information Criterion (BIC) Note ssd_gof() called pvalue = TRUE p-values rather statistics returned ad, ks cvm tests. Following Burnham Anderson (2002) recommend AICc model selection. best predictive model lowest AICc (indicated model delta value 0.000 goodness fit table). current example best predictive model gamma distribution lnorm distribution support. information advantages information theoretic approach context selecting SSDs reader referred Fox et al. (2021).","code":"ssd_gof(fits) #> # A tibble: 3 × 9 #>   dist      ad     ks    cvm   aic  aicc   bic delta weight #>   <chr>  <dbl>  <dbl>  <dbl> <dbl> <dbl> <dbl> <dbl>  <dbl> #> 1 llogis 0.487 0.0994 0.0595  241.  241.  244.  3.38  0.11  #> 2 lnorm  0.507 0.107  0.0703  239.  240.  242.  1.40  0.296 #> 3 gamma  0.440 0.117  0.0554  238.  238.  240.  0     0.595"},{"path":"/articles/ssdtools.html","id":"averaging-multiple-distributions","dir":"Articles","previous_headings":"","what":"Averaging Multiple Distributions","title":"Getting Started with ssdtools","text":"Often distributions fit data almost well best distribution evidenced delta values < 2 (Burnham Anderson 2002). situation recommended approach estimate average fit based relative weights distributions (Burnham Anderson 2002). AICc based weights indicated weight column goodness fit table. current example, gamma log-normal distributions delta values < 2. detailed introduction model averaging can found Model averaging vignette. discussion recommended set default distributions can found Distributions vignette.","code":""},{"path":"/articles/ssdtools.html","id":"estimating-the-fit","dir":"Articles","previous_headings":"","what":"Estimating the Fit","title":"Getting Started with ssdtools","text":"predict function can used generate model-averaged (average = FALSE individual) estimates parametric bootstrapping. Model averaging based AICc unless data censored case AICc undefined. situation model averaging possible distributions number parameters. Parametric bootstrapping computationally intensive. bootstrap distribution parallel register future back-end select evaluation strategy. resultant object data frame estimated concentration (est) standard error (se) lower (lcl) upper (ucl) 95% confidence limits (CLs) percent species affected (percent). object includes number bootstraps (nboot) data sets generated well proportion data sets successfully fitted (pboot). requirement bootstrap samples converge. data frame estimates can plotted together original data using ssd_plot() function summarize analysis. returned object ggplot object can customized prior plotting.  plot model-averaged 95% confidence interval indicated shaded band model-averaged 5%/95% Hazard/Protection Concentration (HC5/ PC95) dotted line. Hazard/Protection concentrations discussed .","code":"doFuture::registerDoFuture() future::plan(future::multisession)  set.seed(99) boron_pred <- predict(fits, ci = TRUE) boron_pred #> # A tibble: 99 × 11 #>    dist    proportion   est    se    lcl   ucl    wt method  nboot pboot samples #>    <chr>        <dbl> <dbl> <dbl>  <dbl> <dbl> <dbl> <chr>   <dbl> <dbl> <I<lis> #>  1 average       0.01 0.267 0.402 0.0419  1.53     1 parame…  1000     1 <dbl>   #>  2 average       0.02 0.531 0.518 0.110   2.03     1 parame…  1000     1 <dbl>   #>  3 average       0.03 0.783 0.615 0.198   2.50     1 parame…  1000     1 <dbl>   #>  4 average       0.04 1.02  0.701 0.300   2.89     1 parame…  1000     1 <dbl>   #>  5 average       0.05 1.26  0.782 0.407   3.29     1 parame…  1000     1 <dbl>   #>  6 average       0.06 1.48  0.859 0.520   3.72     1 parame…  1000     1 <dbl>   #>  7 average       0.07 1.71  0.934 0.645   4.16     1 parame…  1000     1 <dbl>   #>  8 average       0.08 1.93  1.01  0.769   4.58     1 parame…  1000     1 <dbl>   #>  9 average       0.09 2.16  1.08  0.896   4.95     1 parame…  1000     1 <dbl>   #> 10 average       0.1  2.38  1.15  1.03    5.33     1 parame…  1000     1 <dbl>   #> # ℹ 89 more rows ssd_plot(ccme_boron, boron_pred,   color = \"Group\", label = \"Species\",   xlab = \"Concentration (mg/L)\", ribbon = TRUE ) +   expand_limits(x = 5000) + # to ensure the species labels fit   ggtitle(\"Species Sensitivity for Boron\") +   scale_colour_ssd()"},{"path":"/articles/ssdtools.html","id":"hazardprotection-concentrations","dir":"Articles","previous_headings":"","what":"Hazard/Protection Concentrations","title":"Getting Started with ssdtools","text":"5% hazard concentration (HC5) concentration affects 5% species tested. equivalent 95% protection concentration protects 95% species (PC95). hazard protection concentrations directly interchangeable, terminology depends simply user preference. hazard/protection concentrations can obtained using ssd_hc function, can used obtain desired percentage value. fitted SSD can also used determine percentage species protected given concentration using ssd_hp.","code":"set.seed(99) boron_hc5 <- ssd_hc(fits, proportion = 0.05, ci = TRUE) print(boron_hc5) #> # A tibble: 1 × 11 #>   dist    proportion   est    se   lcl   ucl    wt method    nboot pboot samples #>   <chr>        <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <chr>     <dbl> <dbl> <I<lis> #> 1 average       0.05  1.32 0.849 0.370  3.67     1 parametr…  1000     1 <dbl> boron_pc <- ssd_hp(fits, conc = boron_hc5$est, ci = TRUE) print(boron_pc) #> # A tibble: 1 × 11 #>   dist     conc   est    se   lcl   ucl    wt method     nboot pboot samples   #>   <chr>   <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <chr>      <dbl> <dbl> <I<list>> #> 1 average  1.32     5  3.23 0.586  12.8     1 parametric  1000     1 <dbl [0]>"},{"path":"/articles/ssdtools.html","id":"censored-data","dir":"Articles","previous_headings":"Hazard/Protection Concentrations","what":"Censored Data","title":"Getting Started with ssdtools","text":"Censored data lower /upper limit known particular species. right argument ssd_fit_dists() different left argument data considered censored. Let’s make example censored data. less goodness--fit statistics available fits censored data (currently just AIC BIC). delta values calculated using AIC`. sample size n undefined censored data, AICc calculated. However, models number parameters, AIC delta values identical AICc. reason, ssdtools permits analysis censored data using two-parameter models. can call default two parameter models using ssd_dists_bcanz(n = 2). model-averaged predictions (hazard concentrations complete 95% confidence limits) can calculated using AIC results plotted complete arrows indicating censorship.  Note ssdtools doesn’t currently support right censored data:","code":"example_dat <- ssddata::ccme_boron |>   dplyr::mutate(left = Conc, right = Conc)  left_censored_example <- example_dat left_censored_example$left[c(3, 6, 8)] <- NA left_censored_dists <- ssd_fit_dists(left_censored_example,   dists = ssd_dists_bcanz(n = 2),   left = \"left\", right = \"right\" ) ssd_hc(left_censored_dists, average = FALSE) #> # A tibble: 5 × 11 #>   dist    proportion   est    se   lcl   ucl     wt method   nboot pboot samples #>   <chr>        <dbl> <dbl> <dbl> <dbl> <dbl>  <dbl> <chr>    <int> <dbl> <I<lis> #> 1 gamma         0.05 0.674    NA    NA    NA 0.376  paramet…     0    NA <dbl>   #> 2 lgumbel       0.05 1.51     NA    NA    NA 0.0221 paramet…     0    NA <dbl>   #> 3 llogis        0.05 1.15     NA    NA    NA 0.0590 paramet…     0    NA <dbl>   #> 4 lnorm         0.05 1.32     NA    NA    NA 0.176  paramet…     0    NA <dbl>   #> 5 weibull       0.05 0.752    NA    NA    NA 0.367  paramet…     0    NA <dbl> ssd_hc(left_censored_dists) #> # A tibble: 1 × 11 #>   dist    proportion   est    se   lcl   ucl    wt method    nboot pboot samples #>   <chr>        <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <chr>     <int> <dbl> <I<lis> #> 1 average       0.05 0.859    NA    NA    NA     1 parametr…     0   NaN <dbl> ssd_gof(left_censored_dists) #> # A tibble: 5 × 9 #>   dist       ad    ks   cvm   aic  aicc   bic delta weight #>   <chr>   <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>  <dbl> #> 1 gamma      NA    NA    NA  222.    NA    NA 0      0.376 #> 2 lgumbel    NA    NA    NA  228.    NA    NA 5.67   0.022 #> 3 llogis     NA    NA    NA  226.    NA    NA 3.70   0.059 #> 4 lnorm      NA    NA    NA  224.    NA    NA 1.52   0.176 #> 5 weibull    NA    NA    NA  222.    NA    NA 0.046  0.367 set.seed(99) left_censored_pred <- predict(left_censored_dists, ci = TRUE) #> Warning: Parametric CIs cannot be calculated for censored data.  ssd_plot(left_censored_example, left_censored_pred,   left = \"left\", right = \"right\",   xlab = \"Concentration (mg/L)\" ) right_censored_example <- example_dat right_censored_example$right[c(3, 6, 8)] <- NA right_censored_dists <- try(ssd_fit_dists(right_censored_example,   dists = ssd_dists_bcanz(n = 2),   left = \"left\", right = \"right\" )) #> Error in eval(expr, envir) :  #>   Distributions cannot currently be fitted to right censored data."},{"path":[]},{"path":"/articles/ssdtools.html","id":"licensing","dir":"Articles","previous_headings":"","what":"Licensing","title":"Getting Started with ssdtools","text":"Copyright 2018-2024 Province British Columbia Copyright 2021 Environment Climate Change Canada Copyright 2023-2024 Australian Government Department Climate Change, Energy, Environment Water documentation released CC 4.0 License code released Apache License 2.0","code":""},{"path":"/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Joe Thorley. Author, maintainer. Rebecca Fisher. Author. David Fox. Author. Carl Schwarz. Author. Angeline Tillmanns. Contributor. Seb Dalgarno. Contributor. Kathleen McTavish. Contributor. Heather Thompson. Contributor. Doug Spry. Contributor. Rick van Dam. Contributor. Graham Batley. Contributor. Tony Bigwood. Contributor. Ali Azizishirazi. Contributor. Nadine Hussein. Contributor. Sarah Lyons. Contributor. Stephanie Hazlitt. Contributor. Hadley Wickham. Contributor. Sergio Ibarra Espinosa. Contributor. Andy Teucher. Contributor. Emilie Doussantousse. Contributor. Nan-Hung Hsieh. Contributor. Province British Columbia. Funder, copyright holder. Environment Climate Change Canada. Funder, copyright holder. Australian Government Department Climate Change, Energy, Environment Water. Funder, copyright holder.","code":""},{"path":"/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Thorley J, Fisher R, Fox D, Schwarz C (2024). ssdtools: Species Sensitivity Distributions. R package version 1.0.6.9018, https://bcgov.github.io/ssdtools/, https://github.com/bcgov/ssdtools.","code":"@Manual{,   title = {ssdtools: Species Sensitivity Distributions},   author = {Joe Thorley and Rebecca Fisher and David Fox and Carl Schwarz},   year = {2024},   note = {R package version 1.0.6.9018, https://bcgov.github.io/ssdtools/},   url = {https://github.com/bcgov/ssdtools}, }"},{"path":"/index.html","id":"ssdtools-","dir":"","previous_headings":"","what":"Species Sensitivity Distributions","title":"Species Sensitivity Distributions","text":"ssdtools R package fit plot Species Sensitivity Distributions (SSD). SSDs cumulative probability distributions fitted toxicity concentrations different species described Posthuma et al. (2001). ssdtools package uses Maximum Likelihood fit distributions log-normal, log-logistic, log-Gumbel (also known inverse Weibull), gamma, Weibull log-normal log-normal mixture. Multiple distributions can averaged using Akaike Information Criteria. Confidence intervals hazard concentrations proportions produced bootstrapping.","code":""},{"path":"/index.html","id":"installation","dir":"","previous_headings":"","what":"Installation","title":"Species Sensitivity Distributions","text":"install latest release version CRAN. install latest development version r-universe. GitHub","code":"install.packages(\"ssdtools\") install.packages(\"ssdtools\", repos = c(\"https://bcgov.r-universe.dev\", \"https://cloud.r-project.org\")) # install.packages(\"pak\", repos = sprintf(\"https://r-lib.github.io/p/pak/stable/%s/%s/%s\", .Platform$pkgType, R.Version()$os, R.Version()$arch)) pak::pak(\"bcgov/ssdtools\")"},{"path":"/index.html","id":"introduction","dir":"","previous_headings":"","what":"Introduction","title":"Species Sensitivity Distributions","text":"dependency ssddata provides example data sets several chemicals including Boron. six default distributions fit using ssd_fit_dists() can quickly plotted using autoplot  goodness fit can assessed using ssd_gof model-averaged 5% hazard concentration estimated bootstrapping using ssd_hc. bootstrap parallel set future::plan(). example: Model-averaged predictions complete confidence intervals can also estimated parametric bootstrapping using stats generic predict. perform bootstrapping distribution parallel register future backend select evaluation strategy. predictions can plotted together original data using ssd_plot.","code":"library(ssdtools) ssddata::ccme_boron #> # A tibble: 28 × 5 #>    Chemical Species                  Conc Group        Units #>    <chr>    <chr>                   <dbl> <fct>        <chr> #>  1 Boron    Oncorhynchus mykiss       2.1 Fish         mg/L  #>  2 Boron    Ictalurus punctatus       2.4 Fish         mg/L  #>  3 Boron    Micropterus salmoides     4.1 Fish         mg/L  #>  4 Boron    Brachydanio rerio        10   Fish         mg/L  #>  5 Boron    Carassius auratus        15.6 Fish         mg/L  #>  6 Boron    Pimephales promelas      18.3 Fish         mg/L  #>  7 Boron    Daphnia magna             6   Invertebrate mg/L  #>  8 Boron    Opercularia bimarginata  10   Invertebrate mg/L  #>  9 Boron    Ceriodaphnia dubia       13.4 Invertebrate mg/L  #> 10 Boron    Entosiphon sulcatum      15   Invertebrate mg/L  #> # ℹ 18 more rows fits <- ssd_fit_dists(ssddata::ccme_boron) autoplot(fits) ssd_gof(fits) #> # A tibble: 6 × 9 #>   dist           ad     ks    cvm   aic  aicc   bic delta weight #>   <chr>       <dbl>  <dbl>  <dbl> <dbl> <dbl> <dbl> <dbl>  <dbl> #> 1 gamma       0.440 0.117  0.0554  238.  238.  240. 0.005  0.357 #> 2 lgumbel     0.829 0.158  0.134   244.  245.  247. 6.56   0.013 #> 3 llogis      0.487 0.0994 0.0595  241.  241.  244. 3.39   0.066 #> 4 lnorm       0.507 0.107  0.0703  239.  240.  242. 1.40   0.177 #> 5 lnorm_lnorm 0.320 0.116  0.0414  240.  243.  247. 4.98   0.03  #> 6 weibull     0.434 0.117  0.0542  238.  238.  240. 0      0.357 set.seed(99) hc5 <- ssd_hc(fits, ci = TRUE) print(hc5) #> # A tibble: 1 × 11 #>   dist    proportion   est    se   lcl   ucl    wt method    nboot pboot samples #>   <chr>        <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <chr>     <dbl> <dbl> <I<lis> #> 1 average       0.05  1.26 0.782 0.407  3.29     1 parametr…  1000     1 <dbl> future::multisession(workers = 2) hc5 <- ssd_hc(fits, ci = TRUE) doFuture::registerDoFuture() future::plan(future::multisession)  set.seed(99) boron_pred <- predict(fits, ci = TRUE) library(ggplot2)  theme_set(theme_bw())  ssd_plot(ssddata::ccme_boron, boron_pred,   shape = \"Group\", color = \"Group\", label = \"Species\",   xlab = \"Concentration (mg/L)\", ribbon = TRUE ) +   expand_limits(x = 3000) +   scale_colour_ssd()"},{"path":"/index.html","id":"references","dir":"","previous_headings":"","what":"References","title":"Species Sensitivity Distributions","text":"Posthuma, L., Suter II, G.W., Traas, T.P. 2001. Species Sensitivity Distributions Ecotoxicology. CRC Press.","code":""},{"path":"/index.html","id":"information","dir":"","previous_headings":"","what":"Information","title":"Species Sensitivity Distributions","text":"Get started ssdtools https://bcgov.github.io/ssdtools/articles/ssdtools.html. shiny app allow non-R users interface ssdtools available https://github.com/bcgov/shinyssdtools. latest changes visit NEWS. citation shiny app: Dalgarno, S. 2021. shinyssdtools: web application fitting Species Sensitivity Distributions (SSDs). JOSS 6(57): 2848. https://joss.theoj.org/papers/10.21105/joss.02848. ssdtools package developed result earlier drafts : Schwarz, C., Tillmanns, . 2019. Improving Statistical Methods Modeling Species Sensitivity Distributions. Province British Columbia, Victoria, BC. recent developments SSD modeling including review existing software see: Fox, D.R., et al. 2021. Recent Developments Species Sensitivity Distribution Modeling. Environ Toxicol Chem 40(2): 293–308. https://doi.org/10.1002/etc.4925. CCME data.csv data file derived factsheet prepared Canadian Council Ministers Environment. See data-raw folder information.","code":""},{"path":"/index.html","id":"getting-help-or-reporting-an-issue","dir":"","previous_headings":"","what":"Getting Help or Reporting an Issue","title":"Species Sensitivity Distributions","text":"report bugs/issues/feature requests, please file issue.","code":""},{"path":"/index.html","id":"how-to-contribute","dir":"","previous_headings":"","what":"How to Contribute","title":"Species Sensitivity Distributions","text":"like contribute package, please see CONTRIBUTING guidelines.","code":""},{"path":"/index.html","id":"code-of-conduct","dir":"","previous_headings":"","what":"Code of Conduct","title":"Species Sensitivity Distributions","text":"Please note ssdtools project released Contributor Code Conduct. contributing project, agree abide terms.","code":""},{"path":"/index.html","id":"licensing","dir":"","previous_headings":"","what":"Licensing","title":"Species Sensitivity Distributions","text":"Copyright 2018-2024 Province British Columbia Copyright 2021 Environment Climate Change Canada Copyright 2023-2024 Australian Government Department Climate Change, Energy, Environment Water documentation released CC 4.0 License code released Apache License 2.0","code":""},{"path":"/reference/augment.fitdists.html","id":null,"dir":"Reference","previous_headings":"","what":"Augmented Data from fitdists Object — augment.fitdists","title":"Augmented Data from fitdists Object — augment.fitdists","text":"Get tibble original data augmentation.","code":""},{"path":"/reference/augment.fitdists.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Augmented Data from fitdists Object — augment.fitdists","text":"","code":"# S3 method for class 'fitdists' augment(x, ...)"},{"path":"/reference/augment.fitdists.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Augmented Data from fitdists Object — augment.fitdists","text":"x object. ... Unused.","code":""},{"path":"/reference/augment.fitdists.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Augmented Data from fitdists Object — augment.fitdists","text":"tibble agumented data.","code":""},{"path":[]},{"path":"/reference/augment.fitdists.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Augmented Data from fitdists Object — augment.fitdists","text":"","code":"fits <- ssd_fit_dists(ssddata::ccme_boron) augment(fits) #> # A tibble: 28 × 5 #>    Chemical Species                  Conc Group        Units #>    <chr>    <chr>                   <dbl> <fct>        <chr> #>  1 Boron    Oncorhynchus mykiss       2.1 Fish         mg/L  #>  2 Boron    Ictalurus punctatus       2.4 Fish         mg/L  #>  3 Boron    Micropterus salmoides     4.1 Fish         mg/L  #>  4 Boron    Brachydanio rerio        10   Fish         mg/L  #>  5 Boron    Carassius auratus        15.6 Fish         mg/L  #>  6 Boron    Pimephales promelas      18.3 Fish         mg/L  #>  7 Boron    Daphnia magna             6   Invertebrate mg/L  #>  8 Boron    Opercularia bimarginata  10   Invertebrate mg/L  #>  9 Boron    Ceriodaphnia dubia       13.4 Invertebrate mg/L  #> 10 Boron    Entosiphon sulcatum      15   Invertebrate mg/L  #> # ℹ 18 more rows"},{"path":"/reference/autoplot.fitdists.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot a fitdists Object — autoplot.fitdists","title":"Plot a fitdists Object — autoplot.fitdists","text":"wrapper ssd_plot_cdf().","code":""},{"path":"/reference/autoplot.fitdists.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot a fitdists Object — autoplot.fitdists","text":"","code":"# S3 method for class 'fitdists' autoplot(object, ...)"},{"path":"/reference/autoplot.fitdists.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot a fitdists Object — autoplot.fitdists","text":"object object. ... Unused.","code":""},{"path":"/reference/autoplot.fitdists.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot a fitdists Object — autoplot.fitdists","text":"ggplot object.","code":""},{"path":[]},{"path":"/reference/autoplot.fitdists.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot a fitdists Object — autoplot.fitdists","text":"","code":"fits <- ssd_fit_dists(ssddata::ccme_boron) autoplot(fits)"},{"path":"/reference/boron_pred.html","id":null,"dir":"Reference","previous_headings":"","what":"Model Averaged Predictions for CCME Boron Data — boron_pred","title":"Model Averaged Predictions for CCME Boron Data — boron_pred","text":"data frame predictions based 1,000 bootstrap iterations.","code":""},{"path":"/reference/boron_pred.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Model Averaged Predictions for CCME Boron Data — boron_pred","text":"","code":"boron_pred"},{"path":"/reference/boron_pred.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Model Averaged Predictions for CCME Boron Data — boron_pred","text":"object class tbl_df (inherits tbl, data.frame) 99 rows 11 columns.","code":""},{"path":"/reference/boron_pred.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Model Averaged Predictions for CCME Boron Data — boron_pred","text":"proportion proportion species affected (int). est estimated concentration (dbl). se standard error estimate (dbl). lcl lower confidence limit (dbl). se upper confidence limit (dbl). dist distribution (chr).","code":""},{"path":"/reference/boron_pred.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Model Averaged Predictions for CCME Boron Data — boron_pred","text":"","code":"head(boron_pred) #> # A tibble: 6 × 11 #>   dist    proportion   est    se    lcl   ucl    wt method   nboot pboot samples #>   <chr>        <dbl> <dbl> <dbl>  <dbl> <dbl> <dbl> <chr>    <dbl> <dbl> <I<lis> #> 1 average       0.01 0.267 0.402 0.0419  1.53     1 paramet…  1000     1 <dbl>   #> 2 average       0.02 0.531 0.518 0.110   2.03     1 paramet…  1000     1 <dbl>   #> 3 average       0.03 0.783 0.615 0.198   2.50     1 paramet…  1000     1 <dbl>   #> 4 average       0.04 1.02  0.701 0.300   2.89     1 paramet…  1000     1 <dbl>   #> 5 average       0.05 1.26  0.782 0.407   3.29     1 paramet…  1000     1 <dbl>   #> 6 average       0.06 1.48  0.859 0.520   3.72     1 paramet…  1000     1 <dbl>"},{"path":"/reference/coef.fitdists.html","id":null,"dir":"Reference","previous_headings":"","what":"Turn a fitdists Object into a Tidy Tibble — coef.fitdists","title":"Turn a fitdists Object into a Tidy Tibble — coef.fitdists","text":"wrapper tidy.fitdists().","code":""},{"path":"/reference/coef.fitdists.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Turn a fitdists Object into a Tidy Tibble — coef.fitdists","text":"","code":"# S3 method for class 'fitdists' coef(object, ...)"},{"path":"/reference/coef.fitdists.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Turn a fitdists Object into a Tidy Tibble — coef.fitdists","text":"object object. ... Unused.","code":""},{"path":[]},{"path":"/reference/coef.fitdists.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Turn a fitdists Object into a Tidy Tibble — coef.fitdists","text":"","code":"fits <- ssd_fit_dists(ssddata::ccme_boron) coef(fits) #> # A tibble: 15 × 4 #>    dist        term           est    se #>    <chr>       <chr>        <dbl> <dbl> #>  1 gamma       scale       25.1   7.64  #>  2 gamma       shape        0.950 0.223 #>  3 lgumbel     locationlog  1.92  0.247 #>  4 lgumbel     scalelog     1.23  0.173 #>  5 llogis      locationlog  2.63  0.248 #>  6 llogis      scalelog     0.740 0.114 #>  7 lnorm       meanlog      2.56  0.235 #>  8 lnorm       sdlog        1.24  0.166 #>  9 lnorm_lnorm meanlog1     0.949 0.318 #> 10 lnorm_lnorm meanlog2     3.20  0.253 #> 11 lnorm_lnorm pmix         0.284 0.123 #> 12 lnorm_lnorm sdlog1       0.554 0.212 #> 13 lnorm_lnorm sdlog2       0.769 0.194 #> 14 weibull     scale       23.5   4.86  #> 15 weibull     shape        0.966 0.145"},{"path":"/reference/comma_signif.html","id":null,"dir":"Reference","previous_headings":"","what":"Comma and Significance Formatter — comma_signif","title":"Comma and Significance Formatter — comma_signif","text":"Comma Significance Formatter","code":""},{"path":"/reference/comma_signif.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Comma and Significance Formatter — comma_signif","text":"","code":"comma_signif(x, digits = 3, ..., big.mark = \",\")"},{"path":"/reference/comma_signif.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Comma and Significance Formatter — comma_signif","text":"x numeric vector format. digits whole number specifying number significant figures. ... Unused. big.mark string specifying used every 3 digits separate thousands x-axis.","code":""},{"path":"/reference/comma_signif.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Comma and Significance Formatter — comma_signif","text":"character vector.","code":""},{"path":[]},{"path":"/reference/comma_signif.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Comma and Significance Formatter — comma_signif","text":"","code":"if (FALSE) { # \\dontrun{  comma_signif(c(0.1, 1, 10, 1000, 10000)) } # }"},{"path":"/reference/dgompertz.html","id":null,"dir":"Reference","previous_headings":"","what":"Gompertz Probability Density  — dgompertz","title":"Gompertz Probability Density  — dgompertz","text":"Gompertz Probability Density","code":""},{"path":"/reference/dgompertz.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Gompertz Probability Density  — dgompertz","text":"","code":"dgompertz(x, llocation = 0, lshape = 0, log = FALSE)"},{"path":"/reference/dgompertz.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Gompertz Probability Density  — dgompertz","text":"x numeric vector values. llocation location parameter log scale. lshape shape parameter log scale. log logical; TRUE, probabilities p given log(p).","code":""},{"path":"/reference/dgompertz.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Gompertz Probability Density  — dgompertz","text":"numeric vector.","code":""},{"path":"/reference/dist_data.html","id":null,"dir":"Reference","previous_headings":"","what":"Distribution Data — dist_data","title":"Distribution Data — dist_data","text":"data frame information implemented distributions.","code":""},{"path":"/reference/dist_data.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Distribution Data — dist_data","text":"","code":"dist_data"},{"path":"/reference/dist_data.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Distribution Data — dist_data","text":"object class tbl_df (inherits tbl, data.frame) 10 rows 4 columns.","code":""},{"path":"/reference/dist_data.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Distribution Data — dist_data","text":"dist distribution (chr). npars number parameters (int). tails Whether distribution tails (flag). stable Whether distribution numerically stable (flag). bcanz Whether distribution belongs set distributions approved BC, Canada, Australia New Zealand official guidelines (flag).","code":""},{"path":[]},{"path":"/reference/dist_data.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Distribution Data — dist_data","text":"","code":"dist_data #> # A tibble: 10 × 4 #>    dist          bcanz tails npars #>    <chr>         <lgl> <lgl> <int> #>  1 burrIII3      FALSE TRUE      3 #>  2 gamma         TRUE  TRUE      2 #>  3 gompertz      FALSE TRUE      2 #>  4 invpareto     FALSE FALSE     2 #>  5 lgumbel       TRUE  TRUE      2 #>  6 llogis        TRUE  TRUE      2 #>  7 llogis_llogis FALSE TRUE      5 #>  8 lnorm         TRUE  TRUE      2 #>  9 lnorm_lnorm   TRUE  TRUE      5 #> 10 weibull       TRUE  TRUE      2"},{"path":"/reference/dlgumbel.html","id":null,"dir":"Reference","previous_headings":"","what":"Log-Gumbel (Inverse Weibull) Probability Density  — dlgumbel","title":"Log-Gumbel (Inverse Weibull) Probability Density  — dlgumbel","text":"Log-Gumbel (Inverse Weibull) Probability Density","code":""},{"path":"/reference/dlgumbel.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Log-Gumbel (Inverse Weibull) Probability Density  — dlgumbel","text":"","code":"dlgumbel(x, locationlog = 0, scalelog = 1, log = FALSE)"},{"path":"/reference/dlgumbel.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Log-Gumbel (Inverse Weibull) Probability Density  — dlgumbel","text":"x numeric vector values. locationlog location log scale parameter. scalelog scale log scale parameter. log logical; TRUE, probabilities p given log(p).","code":""},{"path":"/reference/dlgumbel.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Log-Gumbel (Inverse Weibull) Probability Density  — dlgumbel","text":"numeric vector.","code":""},{"path":"/reference/estimates.fitdists.html","id":null,"dir":"Reference","previous_headings":"","what":"Estimates for fitdists Object — estimates.fitdists","title":"Estimates for fitdists Object — estimates.fitdists","text":"Gets named list estimated weights parameters.","code":""},{"path":"/reference/estimates.fitdists.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Estimates for fitdists Object — estimates.fitdists","text":"","code":"# S3 method for class 'fitdists' estimates(x, all_estimates = FALSE, ...)"},{"path":"/reference/estimates.fitdists.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Estimates for fitdists Object — estimates.fitdists","text":"x object. all_estimates flag specifying whether calculate estimates implemented distributions. ... Unused.","code":""},{"path":"/reference/estimates.fitdists.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Estimates for fitdists Object — estimates.fitdists","text":"named list estimates.","code":""},{"path":[]},{"path":"/reference/estimates.fitdists.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Estimates for fitdists Object — estimates.fitdists","text":"","code":"fits <- ssd_fit_dists(ssddata::ccme_boron) estimates(fits) #> $gamma.weight #> [1] 0.3565737 #>  #> $gamma.scale #> [1] 25.12683 #>  #> $gamma.shape #> [1] 0.9501795 #>  #> $lgumbel.weight #> [1] 0.01344657 #>  #> $lgumbel.locationlog #> [1] 1.922631 #>  #> $lgumbel.scalelog #> [1] 1.232239 #>  #> $llogis.weight #> [1] 0.06564519 #>  #> $llogis.locationlog #> [1] 2.626276 #>  #> $llogis.scalelog #> [1] 0.7404264 #>  #> $lnorm.weight #> [1] 0.1772362 #>  #> $lnorm.meanlog #> [1] 2.561646 #>  #> $lnorm.sdlog #> [1] 1.241541 #>  #> $lnorm_lnorm.weight #> [1] 0.02962678 #>  #> $lnorm_lnorm.meanlog1 #> [1] 0.9494834 #>  #> $lnorm_lnorm.meanlog2 #> [1] 3.201021 #>  #> $lnorm_lnorm.pmix #> [1] 0.2839679 #>  #> $lnorm_lnorm.sdlog1 #> [1] 0.5544649 #>  #> $lnorm_lnorm.sdlog2 #> [1] 0.7688617 #>  #> $weibull.weight #> [1] 0.3574716 #>  #> $weibull.scale #> [1] 23.51397 #>  #> $weibull.shape #> [1] 0.9660997 #>"},{"path":"/reference/geom_hcintersect.html","id":null,"dir":"Reference","previous_headings":"","what":"Species Sensitivity Hazard Concentration Intersection — geom_hcintersect","title":"Species Sensitivity Hazard Concentration Intersection — geom_hcintersect","text":"Plots intersection xintercept yintercept value.","code":""},{"path":"/reference/geom_hcintersect.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Species Sensitivity Hazard Concentration Intersection — geom_hcintersect","text":"","code":"geom_hcintersect(   mapping = NULL,   data = NULL,   ...,   xintercept,   yintercept,   na.rm = FALSE,   show.legend = NA )"},{"path":"/reference/geom_hcintersect.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Species Sensitivity Hazard Concentration Intersection — geom_hcintersect","text":"mapping Set aesthetic mappings created aes(). specified inherit.aes = TRUE (default), combined default mapping top level plot. must supply mapping plot mapping. data data displayed layer. three options: NULL, default, data inherited plot data specified call ggplot(). data.frame, object, override plot data. objects fortified produce data frame. See fortify() variables created. function called single argument, plot data. return value must data.frame, used layer data. function can created formula (e.g. ~ head(.x, 10)). ... arguments passed layer()'s params argument. arguments broadly fall one 4 categories . Notably, arguments position argument, aesthetics required can passed .... Unknown arguments part 4 categories ignored. Static aesthetics mapped scale, fixed value apply layer whole. example, colour = \"red\" linewidth = 3. geom's documentation Aesthetics section lists available options. 'required' aesthetics passed params. Please note passing unmapped aesthetics vectors technically possible, order required length guaranteed parallel input data. constructing layer using stat_*() function, ... argument can used pass parameters geom part layer. example stat_density(geom = \"area\", outline.type = \"\"). geom's documentation lists parameters can accept. Inversely, constructing layer using geom_*() function, ... argument can used pass parameters stat part layer. example geom_area(stat = \"density\", adjust = 0.5). stat's documentation lists parameters can accept. key_glyph argument layer() may also passed .... can one functions described key glyphs, change display layer legend. xintercept x-value intersect yintercept y-value intersect. na.rm FALSE, default, missing values removed warning. TRUE, missing values silently removed. show.legend logical. layer included legends? NA, default, includes aesthetics mapped. FALSE never includes, TRUE always includes. can also named logical vector finely select aesthetics display.","code":""},{"path":[]},{"path":"/reference/geom_hcintersect.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Species Sensitivity Hazard Concentration Intersection — geom_hcintersect","text":"","code":"ggplot2::ggplot(ssddata::ccme_boron, ggplot2::aes(x = Conc)) +   geom_ssdpoint() +   geom_hcintersect(xintercept = 1.5, yintercept = 0.05)"},{"path":"/reference/geom_ssd.html","id":null,"dir":"Reference","previous_headings":"","what":"Species Sensitivity Data Points  — geom_ssd","title":"Species Sensitivity Data Points  — geom_ssd","text":"geom_ssd() deprecated geom_ssdpoint().","code":""},{"path":"/reference/geom_ssd.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Species Sensitivity Data Points  — geom_ssd","text":"","code":"geom_ssd(   mapping = NULL,   data = NULL,   stat = \"ssdpoint\",   position = \"identity\",   ...,   na.rm = FALSE,   show.legend = NA,   inherit.aes = TRUE )"},{"path":"/reference/geom_ssd.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Species Sensitivity Data Points  — geom_ssd","text":"mapping Set aesthetic mappings created aes(). specified inherit.aes = TRUE (default), combined default mapping top level plot. must supply mapping plot mapping. data data displayed layer. three options: NULL, default, data inherited plot data specified call ggplot(). data.frame, object, override plot data. objects fortified produce data frame. See fortify() variables created. function called single argument, plot data. return value must data.frame, used layer data. function can created formula (e.g. ~ head(.x, 10)). stat statistical transformation use data layer. using geom_*() function construct layer, stat argument can used override default coupling geoms stats. stat argument accepts following: Stat ggproto subclass, example StatCount. string naming stat. give stat string, strip function name stat_ prefix. example, use stat_count(), give stat \"count\". information ways specify stat, see layer stat documentation. position position adjustment use data layer. can used various ways, including prevent overplotting improving display. position argument accepts following: result calling position function, position_jitter(). method allows passing extra arguments position. string naming position adjustment. give position string, strip function name position_ prefix. example, use position_jitter(), give position \"jitter\". information ways specify position, see layer position documentation. ... arguments passed layer()'s params argument. arguments broadly fall one 4 categories . Notably, arguments position argument, aesthetics required can passed .... Unknown arguments part 4 categories ignored. Static aesthetics mapped scale, fixed value apply layer whole. example, colour = \"red\" linewidth = 3. geom's documentation Aesthetics section lists available options. 'required' aesthetics passed params. Please note passing unmapped aesthetics vectors technically possible, order required length guaranteed parallel input data. constructing layer using stat_*() function, ... argument can used pass parameters geom part layer. example stat_density(geom = \"area\", outline.type = \"\"). geom's documentation lists parameters can accept. Inversely, constructing layer using geom_*() function, ... argument can used pass parameters stat part layer. example geom_area(stat = \"density\", adjust = 0.5). stat's documentation lists parameters can accept. key_glyph argument layer() may also passed .... can one functions described key glyphs, change display layer legend. na.rm FALSE, default, missing values removed warning. TRUE, missing values silently removed. show.legend logical. layer included legends? NA, default, includes aesthetics mapped. FALSE never includes, TRUE always includes. can also named logical vector finely select aesthetics display. inherit.aes FALSE, overrides default aesthetics, rather combining . useful helper functions define data aesthetics inherit behaviour default plot specification, e.g. borders().","code":""},{"path":"/reference/geom_ssd.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Species Sensitivity Data Points  — geom_ssd","text":"","code":"if (FALSE) { # \\dontrun{ ggplot2::ggplot(ssddata::ccme_boron, ggplot2::aes(x = Conc)) +   geom_ssd() } # }"},{"path":"/reference/geom_ssdpoint.html","id":null,"dir":"Reference","previous_headings":"","what":"Species Sensitivity Data Points — geom_ssdpoint","title":"Species Sensitivity Data Points — geom_ssdpoint","text":"Uses empirical cumulative distribution create scatterplot points x.","code":""},{"path":"/reference/geom_ssdpoint.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Species Sensitivity Data Points — geom_ssdpoint","text":"","code":"geom_ssdpoint(   mapping = NULL,   data = NULL,   stat = \"ssdpoint\",   position = \"identity\",   ...,   na.rm = FALSE,   show.legend = NA,   inherit.aes = TRUE )"},{"path":"/reference/geom_ssdpoint.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Species Sensitivity Data Points — geom_ssdpoint","text":"mapping Set aesthetic mappings created aes(). specified inherit.aes = TRUE (default), combined default mapping top level plot. must supply mapping plot mapping. data data displayed layer. three options: NULL, default, data inherited plot data specified call ggplot(). data.frame, object, override plot data. objects fortified produce data frame. See fortify() variables created. function called single argument, plot data. return value must data.frame, used layer data. function can created formula (e.g. ~ head(.x, 10)). stat statistical transformation use data layer. using geom_*() function construct layer, stat argument can used override default coupling geoms stats. stat argument accepts following: Stat ggproto subclass, example StatCount. string naming stat. give stat string, strip function name stat_ prefix. example, use stat_count(), give stat \"count\". information ways specify stat, see layer stat documentation. position position adjustment use data layer. can used various ways, including prevent overplotting improving display. position argument accepts following: result calling position function, position_jitter(). method allows passing extra arguments position. string naming position adjustment. give position string, strip function name position_ prefix. example, use position_jitter(), give position \"jitter\". information ways specify position, see layer position documentation. ... arguments passed layer()'s params argument. arguments broadly fall one 4 categories . Notably, arguments position argument, aesthetics required can passed .... Unknown arguments part 4 categories ignored. Static aesthetics mapped scale, fixed value apply layer whole. example, colour = \"red\" linewidth = 3. geom's documentation Aesthetics section lists available options. 'required' aesthetics passed params. Please note passing unmapped aesthetics vectors technically possible, order required length guaranteed parallel input data. constructing layer using stat_*() function, ... argument can used pass parameters geom part layer. example stat_density(geom = \"area\", outline.type = \"\"). geom's documentation lists parameters can accept. Inversely, constructing layer using geom_*() function, ... argument can used pass parameters stat part layer. example geom_area(stat = \"density\", adjust = 0.5). stat's documentation lists parameters can accept. key_glyph argument layer() may also passed .... can one functions described key glyphs, change display layer legend. na.rm FALSE, default, missing values removed warning. TRUE, missing values silently removed. show.legend logical. layer included legends? NA, default, includes aesthetics mapped. FALSE never includes, TRUE always includes. can also named logical vector finely select aesthetics display. inherit.aes FALSE, overrides default aesthetics, rather combining . useful helper functions define data aesthetics inherit behaviour default plot specification, e.g. borders().","code":""},{"path":[]},{"path":"/reference/geom_ssdpoint.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Species Sensitivity Data Points — geom_ssdpoint","text":"","code":"ggplot2::ggplot(ssddata::ccme_boron, ggplot2::aes(x = Conc)) +   geom_ssdpoint()"},{"path":"/reference/geom_ssdsegment.html","id":null,"dir":"Reference","previous_headings":"","what":"Species Sensitivity Censored Segments — geom_ssdsegment","title":"Species Sensitivity Censored Segments — geom_ssdsegment","text":"Uses empirical cumulative distribution draw lines points x xend.","code":""},{"path":"/reference/geom_ssdsegment.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Species Sensitivity Censored Segments — geom_ssdsegment","text":"","code":"geom_ssdsegment(   mapping = NULL,   data = NULL,   stat = \"ssdsegment\",   position = \"identity\",   ...,   arrow = NULL,   arrow.fill = NULL,   lineend = \"butt\",   linejoin = \"round\",   na.rm = FALSE,   show.legend = NA,   inherit.aes = TRUE )"},{"path":"/reference/geom_ssdsegment.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Species Sensitivity Censored Segments — geom_ssdsegment","text":"mapping Set aesthetic mappings created aes(). specified inherit.aes = TRUE (default), combined default mapping top level plot. must supply mapping plot mapping. data data displayed layer. three options: NULL, default, data inherited plot data specified call ggplot(). data.frame, object, override plot data. objects fortified produce data frame. See fortify() variables created. function called single argument, plot data. return value must data.frame, used layer data. function can created formula (e.g. ~ head(.x, 10)). stat statistical transformation use data layer. using geom_*() function construct layer, stat argument can used override default coupling geoms stats. stat argument accepts following: Stat ggproto subclass, example StatCount. string naming stat. give stat string, strip function name stat_ prefix. example, use stat_count(), give stat \"count\". information ways specify stat, see layer stat documentation. position position adjustment use data layer. can used various ways, including prevent overplotting improving display. position argument accepts following: result calling position function, position_jitter(). method allows passing extra arguments position. string naming position adjustment. give position string, strip function name position_ prefix. example, use position_jitter(), give position \"jitter\". information ways specify position, see layer position documentation. ... arguments passed layer()'s params argument. arguments broadly fall one 4 categories . Notably, arguments position argument, aesthetics required can passed .... Unknown arguments part 4 categories ignored. Static aesthetics mapped scale, fixed value apply layer whole. example, colour = \"red\" linewidth = 3. geom's documentation Aesthetics section lists available options. 'required' aesthetics passed params. Please note passing unmapped aesthetics vectors technically possible, order required length guaranteed parallel input data. constructing layer using stat_*() function, ... argument can used pass parameters geom part layer. example stat_density(geom = \"area\", outline.type = \"\"). geom's documentation lists parameters can accept. Inversely, constructing layer using geom_*() function, ... argument can used pass parameters stat part layer. example geom_area(stat = \"density\", adjust = 0.5). stat's documentation lists parameters can accept. key_glyph argument layer() may also passed .... can one functions described key glyphs, change display layer legend. arrow specification arrow heads, created grid::arrow(). arrow.fill fill colour use arrow head (closed). NULL means use colour aesthetic. lineend Line end style (round, butt, square). linejoin Line join style (round, mitre, bevel). na.rm FALSE, default, missing values removed warning. TRUE, missing values silently removed. show.legend logical. layer included legends? NA, default, includes aesthetics mapped. FALSE never includes, TRUE always includes. can also named logical vector finely select aesthetics display. inherit.aes FALSE, overrides default aesthetics, rather combining . useful helper functions define data aesthetics inherit behaviour default plot specification, e.g. borders().","code":""},{"path":[]},{"path":"/reference/geom_ssdsegment.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Species Sensitivity Censored Segments — geom_ssdsegment","text":"","code":"ggplot2::ggplot(ssddata::ccme_boron, ggplot2::aes(x = Conc, xend = Conc * 2)) +   geom_ssdsegment()"},{"path":"/reference/geom_xribbon.html","id":null,"dir":"Reference","previous_headings":"","what":"Ribbon on X-Axis — geom_xribbon","title":"Ribbon on X-Axis — geom_xribbon","text":"Plots x interval defined xmin xmax.","code":""},{"path":"/reference/geom_xribbon.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Ribbon on X-Axis — geom_xribbon","text":"","code":"geom_xribbon(   mapping = NULL,   data = NULL,   stat = \"identity\",   position = \"identity\",   ...,   na.rm = FALSE,   show.legend = NA,   inherit.aes = TRUE )"},{"path":"/reference/geom_xribbon.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Ribbon on X-Axis — geom_xribbon","text":"mapping Set aesthetic mappings created aes(). specified inherit.aes = TRUE (default), combined default mapping top level plot. must supply mapping plot mapping. data data displayed layer. three options: NULL, default, data inherited plot data specified call ggplot(). data.frame, object, override plot data. objects fortified produce data frame. See fortify() variables created. function called single argument, plot data. return value must data.frame, used layer data. function can created formula (e.g. ~ head(.x, 10)). stat statistical transformation use data layer. using geom_*() function construct layer, stat argument can used override default coupling geoms stats. stat argument accepts following: Stat ggproto subclass, example StatCount. string naming stat. give stat string, strip function name stat_ prefix. example, use stat_count(), give stat \"count\". information ways specify stat, see layer stat documentation. position position adjustment use data layer. can used various ways, including prevent overplotting improving display. position argument accepts following: result calling position function, position_jitter(). method allows passing extra arguments position. string naming position adjustment. give position string, strip function name position_ prefix. example, use position_jitter(), give position \"jitter\". information ways specify position, see layer position documentation. ... arguments passed layer()'s params argument. arguments broadly fall one 4 categories . Notably, arguments position argument, aesthetics required can passed .... Unknown arguments part 4 categories ignored. Static aesthetics mapped scale, fixed value apply layer whole. example, colour = \"red\" linewidth = 3. geom's documentation Aesthetics section lists available options. 'required' aesthetics passed params. Please note passing unmapped aesthetics vectors technically possible, order required length guaranteed parallel input data. constructing layer using stat_*() function, ... argument can used pass parameters geom part layer. example stat_density(geom = \"area\", outline.type = \"\"). geom's documentation lists parameters can accept. Inversely, constructing layer using geom_*() function, ... argument can used pass parameters stat part layer. example geom_area(stat = \"density\", adjust = 0.5). stat's documentation lists parameters can accept. key_glyph argument layer() may also passed .... can one functions described key glyphs, change display layer legend. na.rm FALSE, default, missing values removed warning. TRUE, missing values silently removed. show.legend logical. layer included legends? NA, default, includes aesthetics mapped. FALSE never includes, TRUE always includes. can also named logical vector finely select aesthetics display. inherit.aes FALSE, overrides default aesthetics, rather combining . useful helper functions define data aesthetics inherit behaviour default plot specification, e.g. borders().","code":""},{"path":[]},{"path":"/reference/geom_xribbon.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Ribbon on X-Axis — geom_xribbon","text":"","code":"gp <- ggplot2::ggplot(boron_pred) +   geom_xribbon(ggplot2::aes(xmin = lcl, xmax = ucl, y = proportion))"},{"path":"/reference/glance.fitdists.html","id":null,"dir":"Reference","previous_headings":"","what":"Get a tibble summarizing each distribution — glance.fitdists","title":"Get a tibble summarizing each distribution — glance.fitdists","text":"Gets tibble single row distribution.","code":""},{"path":"/reference/glance.fitdists.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get a tibble summarizing each distribution — glance.fitdists","text":"","code":"# S3 method for class 'fitdists' glance(x, ...)"},{"path":"/reference/glance.fitdists.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get a tibble summarizing each distribution — glance.fitdists","text":"x object. ... Unused.","code":""},{"path":"/reference/glance.fitdists.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get a tibble summarizing each distribution — glance.fitdists","text":"tidy tibble distributions.","code":""},{"path":[]},{"path":"/reference/glance.fitdists.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Get a tibble summarizing each distribution — glance.fitdists","text":"","code":"fits <- ssd_fit_dists(ssddata::ccme_boron) glance(fits) #> # A tibble: 6 × 8 #>   dist        npars  nobs log_lik   aic  aicc   delta weight #>   <chr>       <int> <int>   <dbl> <dbl> <dbl>   <dbl>  <dbl> #> 1 gamma           2    28   -117.  238.  238. 0.00503 0.357  #> 2 lgumbel         2    28   -120.  244.  245. 6.56    0.0134 #> 3 llogis          2    28   -119.  241.  241. 3.39    0.0656 #> 4 lnorm           2    28   -118.  239.  240. 1.40    0.177  #> 5 lnorm_lnorm     5    28   -115.  240.  243. 4.98    0.0296 #> 6 weibull         2    28   -117.  238.  238. 0       0.357"},{"path":"/reference/is.fitdists.html","id":null,"dir":"Reference","previous_headings":"","what":"Is fitdists Object — is.fitdists","title":"Is fitdists Object — is.fitdists","text":"Tests whether x fitdists Object.","code":""},{"path":"/reference/is.fitdists.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Is fitdists Object — is.fitdists","text":"","code":"is.fitdists(x)"},{"path":"/reference/is.fitdists.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Is fitdists Object — is.fitdists","text":"x object.","code":""},{"path":"/reference/is.fitdists.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Is fitdists Object — is.fitdists","text":"flag specifying whether x fitdists Object.","code":""},{"path":"/reference/is.fitdists.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Is fitdists Object — is.fitdists","text":"","code":"fits <- ssd_fit_dists(ssddata::ccme_boron) is.fitdists(fits) #> [1] TRUE"},{"path":"/reference/is_censored.html","id":null,"dir":"Reference","previous_headings":"","what":"Is Censored  — is_censored","title":"Is Censored  — is_censored","text":"Deprecated ssd_is_censored().","code":""},{"path":"/reference/is_censored.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Is Censored  — is_censored","text":"","code":"is_censored(x)"},{"path":"/reference/is_censored.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Is Censored  — is_censored","text":"x fitdists object.","code":""},{"path":"/reference/is_censored.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Is Censored  — is_censored","text":"flag indicating data censored.","code":""},{"path":[]},{"path":"/reference/params.html","id":null,"dir":"Reference","previous_headings":"","what":"Parameter Descriptions for ssdtools Functions — params","title":"Parameter Descriptions for ssdtools Functions — params","text":"Parameter Descriptions ssdtools Functions","code":""},{"path":"/reference/params.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Parameter Descriptions for ssdtools Functions — params","text":"... Unused. add_x value add label x values (multiplying shift_x). flag specifying whether also return transformed parameters. all_dists flag specifying whether named distributions must fit successfully. at_boundary_ok flag specifying whether model one parameters boundary considered converged (default = FALSE). average flag specifying whether provide model averaged values opposed value distribution. bcanz flag NULL specifying whether include distributions set approved BC, Canada, Australia New Zealand official guidelines. big.mark string specifying used every 3 digits separate thousands x-axis. breaks character vector bounds named non-negative numeric vector left right bounds uncensored missing (0 Inf) data terms orders magnitude relative extremes non-missing values. chk flag specifying whether check arguments. ci flag specifying whether estimate confidence intervals (bootstrapping). censoring numeric vector left right censoring values. color string column data color aesthetic. computable flag specifying whether return fits numerically computable standard errors. conc numeric vector concentrations calculate hazard proportions . control list control parameters passed stats::optim(). data data frame. delta non-negative number specifying maximum absolute AIC difference cutoff. Distributions absolute AIC difference greater delta excluded calculations. digits whole number specifying number significant figures. dists character vector distribution names. hc value 0 1 indicating proportion hazard concentration (NULL). label string column data labels. left string column data concentrations. level number 0 1 confidence level interval. linecolor string column pred use line color. linetype string column pred use linetype. llocation location parameter log scale. location location parameter. locationlog location log scale parameter. locationlog1 locationlog1 parameter. locationlog2 locationlog2 parameter. log logical; TRUE, probabilities p given log(p). log.p logical; TRUE, probabilities p given log(p). lscale scale parameter log scale. lshape shape parameter log scale. lshape1 shape1 parameter log scale. lshape2 shape2 parameter log scale. lower.tail logical; TRUE (default), probabilities P[X <= x], otherwise, P[X > x]. meanlog mean log scale parameter. meanlog1 mean log scale parameter. meanlog2 mean log scale parameter. min_pboot number 0 1 minimum proportion bootstrap samples must successfully fit (return likelihood) report confidence intervals. min_pmix number 0 0.5 specifying minimum proportion mixture models. npars whole numeric vector specifying distributions include based number parameters. all_estimates flag specifying whether calculate estimates implemented distributions. ci_method string specifying method use estimating bootstrap values. Possible values \"multi_free\" \"multi_fixed\" treat distributions constituting single distribution differ whether model weights fixed \"weighted_samples\" \"weighted_arithmetic\" take bootstrap samples distribution proportional weight versus calculating weighted arithmetic means lower upper confidence limits. multi_est flag specifying whether treat distributions constituting single distribution (opposed taking mean) calculating model averaged estimates. na.rm flag specifying whether silently remove missing values remove warning. n positive number observations. nboot count number bootstrap samples use estimate confidence limits. value 10,000 recommended official guidelines. nrow positive whole number minimum number non-missing rows. nsim positive whole number number simulations generate. object object. parametric flag specifying whether perform parametric bootstrapping opposed non-parametrically resampling original data replacement. p vector probabilities. percent numeric vector percent values estimate hazard concentrations . Soft-deprecated proportion = 0.05. pmix Proportion mixture parameter. proportion numeric vector proportion values estimate hazard concentrations . pvalue flag specifying whether return p-values statistics (default) various tests. pred data frame predictions. q vector quantiles. range_shape1 numeric vector length two lower upper bounds shape1 parameter. range_shape2 shape2 parameter. reweight flag specifying whether reweight weights dividing largest weight. rescale flag specifying whether rescale concentration values dividing geometric mean minimum maximum positive finite values. ribbon flag indicating whether plot confidence interval grey ribbon opposed green solid lines. right string column data right concentration values. save_to NULL string specifying directory save bootstrap datasets parameter estimates (successfully converged) . samples flag specfying whether include numeric vector bootstrap samples list column output. scale scale parameter. scalelog1 scalelog1 parameter. scalelog2 scalelog2 parameter. scalelog scale log scale parameter. sdlog standard deviation log scale parameter. sdlog1 standard deviation log scale parameter. sdlog2 standard deviation log scale parameter. select character vector distributions select. shape shape parameter. shape1 shape1 parameter. shape2 shape2 parameter. shift_x value multiply label x values (adding add_x). silent flag indicating whether fits fail silently. size number size labels. suffix Additional text display number y-axis. tails flag NULL specifying whether include distributions tails. trans string transformation use default \"log10\". weight string numeric column data positive weights less equal 1,000 NULL. x object. xbreaks x-axis breaks one : NULL breaks waiver() default breaks numeric vector positions xintercept x-value intersect xlab string x-axis label. yintercept y-value intersect. ylab string x-axis label. burrIII3.weight weight parameter Burr III distribution. burrIII3.shape1 shape1 parameter Burr III distribution. burrIII3.shape2 shape2 parameter Burr III distribution. burrIII3.scale scale parameter Burr III distribution. gamma.weight weight parameter gamma distribution. gamma.shape shape parameter gamma distribution. gamma.scale scale parameter gamma distribution. gompertz.weight weight parameter Gompertz distribution. gompertz.location location parameter Gompertz distribution. gompertz.shape shape parameter Gompertz distribution. invpareto.weight weight parameter inverse Pareto distribution. invpareto.shape shape parameter inverse Pareto distribution. invpareto.scale scale parameter inverse Pareto distribution. lgumbel.weight weight parameter log-Gumbel distribution. lgumbel.locationlog location parameter log-Gumbel distribution. lgumbel.scalelog scale parameter log-Gumbel distribution. llogis.weight weight parameter log-logistic distribution. llogis.locationlog location parameter log-logistic distribution. llogis.scalelog scale parameter log-logistic distribution. llogis_llogis.weight weight parameter log-logistic log-logistic mixture distribution. llogis_llogis.locationlog1 locationlog1 parameter log-logistic log-logistic mixture distribution. llogis_llogis.scalelog1 scalelog1 parameter log-logistic log-logistic mixture distribution. llogis_llogis.locationlog2 locationlog2 parameter log-logistic log-logistic mixture distribution. llogis_llogis.scalelog2 scalelog2 parameter log-logistic log-logistic mixture distribution. llogis_llogis.pmix pmix parameter log-logistic log-logistic mixture distribution. lnorm.weight weight parameter log-normal distribution. lnorm.meanlog meanlog parameter log-normal distribution. lnorm.sdlog sdlog parameter log-normal distribution. lnorm_lnorm.weight weight parameter log-normal log-normal mixture distribution. lnorm_lnorm.meanlog1 meanlog1 parameter log-normal log-normal mixture distribution. lnorm_lnorm.sdlog1 sdlog1 parameter log-normal log-normal mixture distribution. lnorm_lnorm.meanlog2 meanlog2 parameter log-normal log-normal mixture distribution. lnorm_lnorm.sdlog2 sdlog2 parameter log-normal log-normal mixture distribution. lnorm_lnorm.pmix pmix parameter log-normal log-normal mixture distribution. weibull.weight weight parameter Weibull distribution. weibull.shape shape parameter Weibull distribution. weibull.scale scale parameter Weibull distribution.","code":""},{"path":"/reference/pgompertz.html","id":null,"dir":"Reference","previous_headings":"","what":"Cumulative Distribution Function for Gompertz Distribution  — pgompertz","title":"Cumulative Distribution Function for Gompertz Distribution  — pgompertz","text":"Cumulative Distribution Function Gompertz Distribution","code":""},{"path":"/reference/pgompertz.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cumulative Distribution Function for Gompertz Distribution  — pgompertz","text":"","code":"pgompertz(q, llocation = 0, lshape = 0, lower.tail = TRUE, log.p = FALSE)"},{"path":"/reference/pgompertz.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Cumulative Distribution Function for Gompertz Distribution  — pgompertz","text":"q vector quantiles. llocation location parameter log scale. lshape shape parameter log scale. lower.tail logical; TRUE (default), probabilities P[X <= x], otherwise, P[X > x]. log.p logical; TRUE, probabilities p given log(p).","code":""},{"path":"/reference/plgumbel.html","id":null,"dir":"Reference","previous_headings":"","what":"Cumulative Distribution Function for Log-Gumbel Distribution  — plgumbel","title":"Cumulative Distribution Function for Log-Gumbel Distribution  — plgumbel","text":"Cumulative Distribution Function Log-Gumbel Distribution","code":""},{"path":"/reference/plgumbel.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cumulative Distribution Function for Log-Gumbel Distribution  — plgumbel","text":"","code":"plgumbel(q, locationlog = 0, scalelog = 1, lower.tail = TRUE, log.p = FALSE)"},{"path":"/reference/plgumbel.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Cumulative Distribution Function for Log-Gumbel Distribution  — plgumbel","text":"q vector quantiles. locationlog location log scale parameter. scalelog scale log scale parameter. lower.tail logical; TRUE (default), probabilities P[X <= x], otherwise, P[X > x]. log.p logical; TRUE, probabilities p given log(p).","code":""},{"path":"/reference/predict.fitburrlioz.html","id":null,"dir":"Reference","previous_headings":"","what":"Predict Hazard Concentrations of fitburrlioz Object — predict.fitburrlioz","title":"Predict Hazard Concentrations of fitburrlioz Object — predict.fitburrlioz","text":"wrapper ssd_hc() default calculates hazard concentrations 1 99%.","code":""},{"path":"/reference/predict.fitburrlioz.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Predict Hazard Concentrations of fitburrlioz Object — predict.fitburrlioz","text":"","code":"# S3 method for class 'fitburrlioz' predict(   object,   percent,   proportion = 1:99/100,   ci = FALSE,   level = 0.95,   nboot = 1000,   min_pboot = 0.95,   parametric = TRUE,   ... )"},{"path":"/reference/predict.fitburrlioz.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Predict Hazard Concentrations of fitburrlioz Object — predict.fitburrlioz","text":"object object. percent numeric vector percent values estimate hazard concentrations . Soft-deprecated proportion = 0.05. proportion numeric vector proportion values estimate hazard concentrations . ci flag specifying whether estimate confidence intervals (bootstrapping). level number 0 1 confidence level interval. nboot count number bootstrap samples use estimate confidence limits. value 10,000 recommended official guidelines. min_pboot number 0 1 minimum proportion bootstrap samples must successfully fit (return likelihood) report confidence intervals. parametric flag specifying whether perform parametric bootstrapping opposed non-parametrically resampling original data replacement. ... Unused.","code":""},{"path":"/reference/predict.fitburrlioz.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Predict Hazard Concentrations of fitburrlioz Object — predict.fitburrlioz","text":"useful plotting purposes.","code":""},{"path":[]},{"path":"/reference/predict.fitburrlioz.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Predict Hazard Concentrations of fitburrlioz Object — predict.fitburrlioz","text":"","code":"fits <- ssd_fit_burrlioz(ssddata::ccme_boron) predict(fits) #> # A tibble: 99 × 11 #>    dist     proportion    est    se   lcl   ucl    wt method nboot pboot samples #>    <chr>         <dbl>  <dbl> <dbl> <dbl> <dbl> <dbl> <chr>  <int> <dbl> <I<lis> #>  1 invpare…       0.01 0.0228    NA    NA    NA     1 param…     0    NA <dbl>   #>  2 invpare…       0.02 0.0772    NA    NA    NA     1 param…     0    NA <dbl>   #>  3 invpare…       0.03 0.158     NA    NA    NA     1 param…     0    NA <dbl>   #>  4 invpare…       0.04 0.261     NA    NA    NA     1 param…     0    NA <dbl>   #>  5 invpare…       0.05 0.387     NA    NA    NA     1 param…     0    NA <dbl>   #>  6 invpare…       0.06 0.533     NA    NA    NA     1 param…     0    NA <dbl>   #>  7 invpare…       0.07 0.699     NA    NA    NA     1 param…     0    NA <dbl>   #>  8 invpare…       0.08 0.885     NA    NA    NA     1 param…     0    NA <dbl>   #>  9 invpare…       0.09 1.09      NA    NA    NA     1 param…     0    NA <dbl>   #> 10 invpare…       0.1  1.31      NA    NA    NA     1 param…     0    NA <dbl>   #> # ℹ 89 more rows"},{"path":"/reference/predict.fitdists.html","id":null,"dir":"Reference","previous_headings":"","what":"Predict Hazard Concentrations of fitdists Object — predict.fitdists","title":"Predict Hazard Concentrations of fitdists Object — predict.fitdists","text":"wrapper ssd_hc() default calculates hazard concentrations 1 99%.","code":""},{"path":"/reference/predict.fitdists.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Predict Hazard Concentrations of fitdists Object — predict.fitdists","text":"","code":"# S3 method for class 'fitdists' predict(   object,   percent,   proportion = 1:99/100,   average = TRUE,   ci = FALSE,   level = 0.95,   nboot = 1000,   min_pboot = 0.95,   multi_est = TRUE,   ci_method = \"weighted_samples\",   parametric = TRUE,   delta = 9.21,   control = NULL,   ... )"},{"path":"/reference/predict.fitdists.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Predict Hazard Concentrations of fitdists Object — predict.fitdists","text":"object object. percent numeric vector percent values estimate hazard concentrations . Soft-deprecated proportion = 0.05. proportion numeric vector proportion values estimate hazard concentrations . average flag specifying whether provide model averaged values opposed value distribution. ci flag specifying whether estimate confidence intervals (bootstrapping). level number 0 1 confidence level interval. nboot count number bootstrap samples use estimate confidence limits. value 10,000 recommended official guidelines. min_pboot number 0 1 minimum proportion bootstrap samples must successfully fit (return likelihood) report confidence intervals. multi_est flag specifying whether treat distributions constituting single distribution (opposed taking mean) calculating model averaged estimates. ci_method string specifying method use estimating bootstrap values. Possible values \"multi_free\" \"multi_fixed\" treat distributions constituting single distribution differ whether model weights fixed \"weighted_samples\" \"weighted_arithmetic\" take bootstrap samples distribution proportional weight versus calculating weighted arithmetic means lower upper confidence limits. parametric flag specifying whether perform parametric bootstrapping opposed non-parametrically resampling original data replacement. delta non-negative number specifying maximum absolute AIC difference cutoff. Distributions absolute AIC difference greater delta excluded calculations. control list control parameters passed stats::optim(). ... Unused.","code":""},{"path":"/reference/predict.fitdists.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Predict Hazard Concentrations of fitdists Object — predict.fitdists","text":"useful plotting purposes.","code":""},{"path":[]},{"path":"/reference/predict.fitdists.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Predict Hazard Concentrations of fitdists Object — predict.fitdists","text":"","code":"fits <- ssd_fit_dists(ssddata::ccme_boron) predict(fits) #> # A tibble: 99 × 11 #>    dist    proportion   est    se   lcl   ucl    wt method   nboot pboot samples #>    <chr>        <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <chr>    <int> <dbl> <I<lis> #>  1 average       0.01 0.267    NA    NA    NA     1 paramet…     0   NaN <dbl>   #>  2 average       0.02 0.531    NA    NA    NA     1 paramet…     0   NaN <dbl>   #>  3 average       0.03 0.783    NA    NA    NA     1 paramet…     0   NaN <dbl>   #>  4 average       0.04 1.02     NA    NA    NA     1 paramet…     0   NaN <dbl>   #>  5 average       0.05 1.26     NA    NA    NA     1 paramet…     0   NaN <dbl>   #>  6 average       0.06 1.48     NA    NA    NA     1 paramet…     0   NaN <dbl>   #>  7 average       0.07 1.71     NA    NA    NA     1 paramet…     0   NaN <dbl>   #>  8 average       0.08 1.93     NA    NA    NA     1 paramet…     0   NaN <dbl>   #>  9 average       0.09 2.16     NA    NA    NA     1 paramet…     0   NaN <dbl>   #> 10 average       0.1  2.38     NA    NA    NA     1 paramet…     0   NaN <dbl>   #> # ℹ 89 more rows"},{"path":"/reference/qgompertz.html","id":null,"dir":"Reference","previous_headings":"","what":"Quantile Function for Gompertz Distribution  — qgompertz","title":"Quantile Function for Gompertz Distribution  — qgompertz","text":"Quantile Function Gompertz Distribution","code":""},{"path":"/reference/qgompertz.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Quantile Function for Gompertz Distribution  — qgompertz","text":"","code":"qgompertz(p, llocation = 0, lshape = 0, lower.tail = TRUE, log.p = FALSE)"},{"path":"/reference/qgompertz.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Quantile Function for Gompertz Distribution  — qgompertz","text":"p vector probabilities. llocation location parameter log scale. lshape shape parameter log scale. lower.tail logical; TRUE (default), probabilities P[X <= x], otherwise, P[X > x]. log.p logical; TRUE, probabilities p given log(p).","code":""},{"path":"/reference/qlgumbel.html","id":null,"dir":"Reference","previous_headings":"","what":"Quantile Function for Log-Gumbel Distribution  — qlgumbel","title":"Quantile Function for Log-Gumbel Distribution  — qlgumbel","text":"Quantile Function Log-Gumbel Distribution","code":""},{"path":"/reference/qlgumbel.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Quantile Function for Log-Gumbel Distribution  — qlgumbel","text":"","code":"qlgumbel(p, locationlog = 0, scalelog = 1, lower.tail = TRUE, log.p = FALSE)"},{"path":"/reference/qlgumbel.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Quantile Function for Log-Gumbel Distribution  — qlgumbel","text":"p vector probabilities. locationlog location log scale parameter. scalelog scale log scale parameter. lower.tail logical; TRUE (default), probabilities P[X <= x], otherwise, P[X > x]. log.p logical; TRUE, probabilities p given log(p).","code":""},{"path":"/reference/reexports.html","id":null,"dir":"Reference","previous_headings":"","what":"Objects exported from other packages — reexports","title":"Objects exported from other packages — reexports","text":"objects imported packages. Follow links see documentation. generics augment, glance, tidy ggplot2 autoplot, waiver graphics plot stats coef, logLik, nobs, predict universals estimates, npars","code":""},{"path":"/reference/rgompertz.html","id":null,"dir":"Reference","previous_headings":"","what":"Random Generation for Gompertz Distribution  — rgompertz","title":"Random Generation for Gompertz Distribution  — rgompertz","text":"Random Generation Gompertz Distribution","code":""},{"path":"/reference/rgompertz.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Random Generation for Gompertz Distribution  — rgompertz","text":"","code":"rgompertz(n, llocation = 0, lshape = 0)"},{"path":"/reference/rgompertz.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Random Generation for Gompertz Distribution  — rgompertz","text":"n positive number observations. llocation location parameter log scale. lshape shape parameter log scale.","code":""},{"path":"/reference/rlgumbel.html","id":null,"dir":"Reference","previous_headings":"","what":"Random Generation for log-Gumbel Distribution  — rlgumbel","title":"Random Generation for log-Gumbel Distribution  — rlgumbel","text":"Random Generation log-Gumbel Distribution","code":""},{"path":"/reference/rlgumbel.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Random Generation for log-Gumbel Distribution  — rlgumbel","text":"","code":"rlgumbel(n, locationlog = 0, scalelog = 1)"},{"path":"/reference/rlgumbel.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Random Generation for log-Gumbel Distribution  — rlgumbel","text":"n positive number observations. locationlog location log scale parameter. scalelog scale log scale parameter.","code":""},{"path":"/reference/scale_colour_ssd.html","id":null,"dir":"Reference","previous_headings":"","what":"Discrete color-blind scale for SSD Plots — scale_colour_ssd","title":"Discrete color-blind scale for SSD Plots — scale_colour_ssd","text":"Discrete color-blind scale SSD Plots","code":""},{"path":"/reference/scale_colour_ssd.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Discrete color-blind scale for SSD Plots — scale_colour_ssd","text":"","code":"scale_colour_ssd(...)  scale_color_ssd(...)"},{"path":"/reference/scale_colour_ssd.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Discrete color-blind scale for SSD Plots — scale_colour_ssd","text":"... Arguments passed ggplot2::discrete_scale().","code":""},{"path":"/reference/scale_colour_ssd.html","id":"functions","dir":"Reference","previous_headings":"","what":"Functions","title":"Discrete color-blind scale for SSD Plots — scale_colour_ssd","text":"scale_color_ssd(): Discrete color-blind scale SSD Plots","code":""},{"path":[]},{"path":"/reference/scale_colour_ssd.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Discrete color-blind scale for SSD Plots — scale_colour_ssd","text":"","code":"ssd_plot(ssddata::ccme_boron, boron_pred, shape = \"Group\") +   scale_colour_ssd()"},{"path":"/reference/ssd_censor_data.html","id":null,"dir":"Reference","previous_headings":"","what":"Censor Data — ssd_censor_data","title":"Censor Data — ssd_censor_data","text":"Censor Data","code":""},{"path":"/reference/ssd_censor_data.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Censor Data — ssd_censor_data","text":"","code":"ssd_censor_data(data, left = \"Conc\", ..., right = left, censoring = c(0, Inf))"},{"path":"/reference/ssd_censor_data.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Censor Data — ssd_censor_data","text":"data data frame. left string column data concentrations. ... Unused. right string column data right concentration values. censoring numeric vector left right censoring values.","code":""},{"path":"/reference/ssd_censor_data.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Censor Data — ssd_censor_data","text":"tibble censored data.","code":""},{"path":"/reference/ssd_censor_data.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Censor Data — ssd_censor_data","text":"","code":"ssd_censor_data(ssddata::ccme_boron, censoring = c(2.5, Inf)) #> # A tibble: 28 × 6 #>    Chemical Species                  Conc Group        Units right #>    <chr>    <chr>                   <dbl> <fct>        <chr> <dbl> #>  1 Boron    Oncorhynchus mykiss       0   Fish         mg/L    2.5 #>  2 Boron    Ictalurus punctatus       0   Fish         mg/L    2.5 #>  3 Boron    Micropterus salmoides     4.1 Fish         mg/L    4.1 #>  4 Boron    Brachydanio rerio        10   Fish         mg/L   10   #>  5 Boron    Carassius auratus        15.6 Fish         mg/L   15.6 #>  6 Boron    Pimephales promelas      18.3 Fish         mg/L   18.3 #>  7 Boron    Daphnia magna             6   Invertebrate mg/L    6   #>  8 Boron    Opercularia bimarginata  10   Invertebrate mg/L   10   #>  9 Boron    Ceriodaphnia dubia       13.4 Invertebrate mg/L   13.4 #> 10 Boron    Entosiphon sulcatum      15   Invertebrate mg/L   15   #> # ℹ 18 more rows"},{"path":"/reference/ssd_data.html","id":null,"dir":"Reference","previous_headings":"","what":"Data from fitdists Object — ssd_data","title":"Data from fitdists Object — ssd_data","text":"Get tibble original data.","code":""},{"path":"/reference/ssd_data.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Data from fitdists Object — ssd_data","text":"","code":"ssd_data(x)"},{"path":"/reference/ssd_data.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Data from fitdists Object — ssd_data","text":"x object.","code":""},{"path":"/reference/ssd_data.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Data from fitdists Object — ssd_data","text":"tibble original data.","code":""},{"path":[]},{"path":"/reference/ssd_data.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Data from fitdists Object — ssd_data","text":"","code":"fits <- ssd_fit_dists(ssddata::ccme_boron) ssd_data(fits) #> # A tibble: 28 × 5 #>    Chemical Species                  Conc Group        Units #>    <chr>    <chr>                   <dbl> <fct>        <chr> #>  1 Boron    Oncorhynchus mykiss       2.1 Fish         mg/L  #>  2 Boron    Ictalurus punctatus       2.4 Fish         mg/L  #>  3 Boron    Micropterus salmoides     4.1 Fish         mg/L  #>  4 Boron    Brachydanio rerio        10   Fish         mg/L  #>  5 Boron    Carassius auratus        15.6 Fish         mg/L  #>  6 Boron    Pimephales promelas      18.3 Fish         mg/L  #>  7 Boron    Daphnia magna             6   Invertebrate mg/L  #>  8 Boron    Opercularia bimarginata  10   Invertebrate mg/L  #>  9 Boron    Ceriodaphnia dubia       13.4 Invertebrate mg/L  #> 10 Boron    Entosiphon sulcatum      15   Invertebrate mg/L  #> # ℹ 18 more rows"},{"path":"/reference/ssd_dists.html","id":null,"dir":"Reference","previous_headings":"","what":"Species Sensitivity Distributions — ssd_dists","title":"Species Sensitivity Distributions — ssd_dists","text":"Gets character vector names available distributions.","code":""},{"path":"/reference/ssd_dists.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Species Sensitivity Distributions — ssd_dists","text":"","code":"ssd_dists(bcanz = NULL, tails = NULL, npars = 2:5)"},{"path":"/reference/ssd_dists.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Species Sensitivity Distributions — ssd_dists","text":"bcanz flag NULL specifying whether include distributions set approved BC, Canada, Australia New Zealand official guidelines. tails flag NULL specifying whether include distributions tails. npars whole numeric vector specifying distributions include based number parameters.","code":""},{"path":"/reference/ssd_dists.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Species Sensitivity Distributions — ssd_dists","text":"unique, sorted character vector distributions.","code":""},{"path":[]},{"path":"/reference/ssd_dists.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Species Sensitivity Distributions — ssd_dists","text":"","code":"ssd_dists() #>  [1] \"burrIII3\"      \"gamma\"         \"gompertz\"      \"invpareto\"     #>  [5] \"lgumbel\"       \"llogis\"        \"llogis_llogis\" \"lnorm\"         #>  [9] \"lnorm_lnorm\"   \"weibull\"       ssd_dists(bcanz = TRUE) #> [1] \"gamma\"       \"lgumbel\"     \"llogis\"      \"lnorm\"       \"lnorm_lnorm\" #> [6] \"weibull\"     ssd_dists(tails = FALSE) #> [1] \"invpareto\" ssd_dists(npars = 5) #> [1] \"llogis_llogis\" \"lnorm_lnorm\""},{"path":"/reference/ssd_dists_all.html","id":null,"dir":"Reference","previous_headings":"","what":"All Species Sensitivity Distributions — ssd_dists_all","title":"All Species Sensitivity Distributions — ssd_dists_all","text":"Gets character vector names available distributions.","code":""},{"path":"/reference/ssd_dists_all.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"All Species Sensitivity Distributions — ssd_dists_all","text":"","code":"ssd_dists_all()"},{"path":"/reference/ssd_dists_all.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"All Species Sensitivity Distributions — ssd_dists_all","text":"unique, sorted character vector distributions.","code":""},{"path":[]},{"path":"/reference/ssd_dists_all.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"All Species Sensitivity Distributions — ssd_dists_all","text":"","code":"ssd_dists_all() #>  [1] \"burrIII3\"      \"gamma\"         \"gompertz\"      \"invpareto\"     #>  [5] \"lgumbel\"       \"llogis\"        \"llogis_llogis\" \"lnorm\"         #>  [9] \"lnorm_lnorm\"   \"weibull\""},{"path":"/reference/ssd_dists_bcanz.html","id":null,"dir":"Reference","previous_headings":"","what":"BCANZ Distributions — ssd_dists_bcanz","title":"BCANZ Distributions — ssd_dists_bcanz","text":"Gets character vector names distributions adopted BC, Canada, Australia New Zealand official guidelines.","code":""},{"path":"/reference/ssd_dists_bcanz.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"BCANZ Distributions — ssd_dists_bcanz","text":"","code":"ssd_dists_bcanz(npars = c(2L, 5L))"},{"path":"/reference/ssd_dists_bcanz.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"BCANZ Distributions — ssd_dists_bcanz","text":"npars whole numeric vector specifying distributions include based number parameters.","code":""},{"path":"/reference/ssd_dists_bcanz.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"BCANZ Distributions — ssd_dists_bcanz","text":"unique, sorted character vector distributions.","code":""},{"path":[]},{"path":"/reference/ssd_dists_bcanz.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"BCANZ Distributions — ssd_dists_bcanz","text":"","code":"ssd_dists_bcanz() #> [1] \"gamma\"       \"lgumbel\"     \"llogis\"      \"lnorm\"       \"lnorm_lnorm\" #> [6] \"weibull\"     ssd_dists_bcanz(npars = 2) #> [1] \"gamma\"   \"lgumbel\" \"llogis\"  \"lnorm\"   \"weibull\""},{"path":"/reference/ssd_e.html","id":null,"dir":"Reference","previous_headings":"","what":"Default Parameter Estimates — ssd_eburrIII3","title":"Default Parameter Estimates — ssd_eburrIII3","text":"Default Parameter Estimates","code":""},{"path":"/reference/ssd_e.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Default Parameter Estimates — ssd_eburrIII3","text":"","code":"ssd_eburrIII3()  ssd_egamma()  ssd_egompertz()  ssd_einvpareto()  ssd_elgumbel()  ssd_elgumbel()  ssd_ellogis_llogis()  ssd_ellogis()  ssd_elnorm_lnorm()  ssd_elnorm()  ssd_emulti()  ssd_eweibull()"},{"path":"/reference/ssd_e.html","id":"functions","dir":"Reference","previous_headings":"","what":"Functions","title":"Default Parameter Estimates — ssd_eburrIII3","text":"ssd_eburrIII3(): Default Parameter Values BurrIII Distribution ssd_egamma(): Default Parameter Values Gamma Distribution ssd_egompertz(): Default Parameter Values Gompertz Distribution ssd_einvpareto(): Default Parameter Values Inverse Pareto Distribution ssd_elgumbel(): Default Parameter Values Log-Gumbel Distribution ssd_elgumbel(): Default Parameter Values log-Gumbel Distribution ssd_ellogis_llogis(): Default Parameter Values Log-Logistic/Log-Logistic Mixture Distribution ssd_ellogis(): Default Parameter Values Log-Logistic Distribution ssd_elnorm_lnorm(): Default Parameter Values Log-Normal/Log-Normal Mixture Distribution ssd_elnorm(): Default Parameter Values Log-Normal Distribution ssd_emulti(): Default Parameter Values Multiple Distributions ssd_eweibull(): Default Parameter Values Log-Normal Distribution","code":""},{"path":[]},{"path":"/reference/ssd_e.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Default Parameter Estimates — ssd_eburrIII3","text":"","code":"ssd_eburrIII3() #> $shape1 #> [1] 1 #>  #> $shape2 #> [1] 1 #>  #> $scale #> [1] 1 #>   ssd_egamma() #> $shape #> [1] 1 #>  #> $scale #> [1] 1 #>   ssd_egompertz() #> $location #> [1] 1 #>  #> $shape #> [1] 1 #>   ssd_einvpareto() #> $shape #> [1] 3 #>  #> $scale #> [1] 1 #>   ssd_einvpareto() #> $shape #> [1] 3 #>  #> $scale #> [1] 1 #>   ssd_elgumbel() #> $locationlog #> [1] 0 #>  #> $scalelog #> [1] 1 #>   ssd_ellogis_llogis() #> $locationlog1 #> [1] 0 #>  #> $scalelog1 #> [1] 1 #>  #> $locationlog2 #> [1] 1 #>  #> $scalelog2 #> [1] 1 #>  #> $pmix #> [1] 0.5 #>   ssd_ellogis() #> $locationlog #> [1] 0 #>  #> $scalelog #> [1] 1 #>   ssd_elnorm_lnorm() #> $meanlog1 #> [1] 0 #>  #> $sdlog1 #> [1] 1 #>  #> $meanlog2 #> [1] 1 #>  #> $sdlog2 #> [1] 1 #>  #> $pmix #> [1] 0.5 #>   ssd_elnorm() #> $meanlog #> [1] 0 #>  #> $sdlog #> [1] 1 #>   ssd_emulti() #> $burrIII3.weight #> [1] 0 #>  #> $burrIII3.shape1 #> [1] 1 #>  #> $burrIII3.shape2 #> [1] 1 #>  #> $burrIII3.scale #> [1] 1 #>  #> $gamma.weight #> [1] 0.1666667 #>  #> $gamma.shape #> [1] 1 #>  #> $gamma.scale #> [1] 1 #>  #> $gompertz.weight #> [1] 0 #>  #> $gompertz.location #> [1] 1 #>  #> $gompertz.shape #> [1] 1 #>  #> $invpareto.weight #> [1] 0 #>  #> $invpareto.shape #> [1] 3 #>  #> $invpareto.scale #> [1] 1 #>  #> $lgumbel.weight #> [1] 0.1666667 #>  #> $lgumbel.locationlog #> [1] 0 #>  #> $lgumbel.scalelog #> [1] 1 #>  #> $llogis.weight #> [1] 0.1666667 #>  #> $llogis.locationlog #> [1] 0 #>  #> $llogis.scalelog #> [1] 1 #>  #> $llogis_llogis.weight #> [1] 0 #>  #> $llogis_llogis.locationlog1 #> [1] 0 #>  #> $llogis_llogis.scalelog1 #> [1] 1 #>  #> $llogis_llogis.locationlog2 #> [1] 1 #>  #> $llogis_llogis.scalelog2 #> [1] 1 #>  #> $llogis_llogis.pmix #> [1] 0.5 #>  #> $lnorm.weight #> [1] 0.1666667 #>  #> $lnorm.meanlog #> [1] 0 #>  #> $lnorm.sdlog #> [1] 1 #>  #> $lnorm_lnorm.weight #> [1] 0.1666667 #>  #> $lnorm_lnorm.meanlog1 #> [1] 0 #>  #> $lnorm_lnorm.sdlog1 #> [1] 1 #>  #> $lnorm_lnorm.meanlog2 #> [1] 1 #>  #> $lnorm_lnorm.sdlog2 #> [1] 1 #>  #> $lnorm_lnorm.pmix #> [1] 0.5 #>  #> $weibull.weight #> [1] 0.1666667 #>  #> $weibull.shape #> [1] 1 #>  #> $weibull.scale #> [1] 1 #>   ssd_eweibull() #> $shape #> [1] 1 #>  #> $scale #> [1] 1 #>"},{"path":"/reference/ssd_ecd.html","id":null,"dir":"Reference","previous_headings":"","what":"Empirical Cumulative Density — ssd_ecd","title":"Empirical Cumulative Density — ssd_ecd","text":"Empirical Cumulative Density","code":""},{"path":"/reference/ssd_ecd.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Empirical Cumulative Density — ssd_ecd","text":"","code":"ssd_ecd(x, ties.method = \"first\")"},{"path":"/reference/ssd_ecd.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Empirical Cumulative Density — ssd_ecd","text":"x numeric, complex, character logical vector. ties.method character string specifying ties treated,     see ‘Details’; can abbreviated.","code":""},{"path":"/reference/ssd_ecd.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Empirical Cumulative Density — ssd_ecd","text":"numeric vector empirical cumulative density.","code":""},{"path":"/reference/ssd_ecd.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Empirical Cumulative Density — ssd_ecd","text":"","code":"ssd_ecd(1:10) #>  [1] 0.05 0.15 0.25 0.35 0.45 0.55 0.65 0.75 0.85 0.95"},{"path":"/reference/ssd_ecd_data.html","id":null,"dir":"Reference","previous_headings":"","what":"Empirical Cumulative Density for Species Sensitivity Data — ssd_ecd_data","title":"Empirical Cumulative Density for Species Sensitivity Data — ssd_ecd_data","text":"Empirical Cumulative Density Species Sensitivity Data","code":""},{"path":"/reference/ssd_ecd_data.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Empirical Cumulative Density for Species Sensitivity Data — ssd_ecd_data","text":"","code":"ssd_ecd_data(   data,   left = \"Conc\",   right = left,   bounds = c(left = 1, right = 1) )"},{"path":"/reference/ssd_ecd_data.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Empirical Cumulative Density for Species Sensitivity Data — ssd_ecd_data","text":"data data frame. left string column data concentrations. right string column data right concentration values. bounds named non-negative numeric vector left right bounds uncensored missing (0 Inf) data terms orders magnitude relative extremes non-missing values.","code":""},{"path":"/reference/ssd_ecd_data.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Empirical Cumulative Density for Species Sensitivity Data — ssd_ecd_data","text":"numeric vector empirical cumulative density rows data.","code":""},{"path":[]},{"path":"/reference/ssd_ecd_data.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Empirical Cumulative Density for Species Sensitivity Data — ssd_ecd_data","text":"","code":"ssd_ecd_data(ssddata::ccme_boron) #>  [1] 0.12500000 0.16071429 0.23214286 0.33928571 0.51785714 0.55357143 #>  [7] 0.30357143 0.37500000 0.44642857 0.48214286 0.58928571 0.62500000 #> [13] 0.66071429 0.76785714 0.80357143 0.91071429 0.94642857 0.98214286 #> [19] 0.01785714 0.05357143 0.08928571 0.19642857 0.26785714 0.41071429 #> [25] 0.69642857 0.73214286 0.83928571 0.87500000"},{"path":"/reference/ssd_exposure.html","id":null,"dir":"Reference","previous_headings":"","what":"Proportion Exposure — ssd_exposure","title":"Proportion Exposure — ssd_exposure","text":"Calculates average proportion exposed based log-normal distribution concentrations.","code":""},{"path":"/reference/ssd_exposure.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Proportion Exposure — ssd_exposure","text":"","code":"ssd_exposure(x, meanlog = 0, sdlog = 1, nboot = 1000)"},{"path":"/reference/ssd_exposure.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Proportion Exposure — ssd_exposure","text":"x object. meanlog mean exposure concentrations log scale. sdlog standard deviation exposure concentrations log scale. nboot number samples use calculate exposure.","code":""},{"path":"/reference/ssd_exposure.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Proportion Exposure — ssd_exposure","text":"proportion exposed.","code":""},{"path":"/reference/ssd_exposure.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Proportion Exposure — ssd_exposure","text":"","code":"fits <- ssd_fit_dists(ssddata::ccme_boron, dists = \"lnorm\") set.seed(10) ssd_exposure(fits) #> [1] 0.05389226 ssd_exposure(fits, meanlog = 1) #> [1] 0.1705358 ssd_exposure(fits, meanlog = 1, sdlog = 1) #> [1] 0.1609468"},{"path":"/reference/ssd_fit_bcanz.html","id":null,"dir":"Reference","previous_headings":"","what":"Fit BCANZ Distributions — ssd_fit_bcanz","title":"Fit BCANZ Distributions — ssd_fit_bcanz","text":"Fits distributions using settings adopted BC, Canada, Australia New Zealand official guidelines.","code":""},{"path":"/reference/ssd_fit_bcanz.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Fit BCANZ Distributions — ssd_fit_bcanz","text":"","code":"ssd_fit_bcanz(data, left = \"Conc\", dists = ssd_dists_bcanz())"},{"path":"/reference/ssd_fit_bcanz.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Fit BCANZ Distributions — ssd_fit_bcanz","text":"data data frame. left string column data concentrations. dists character vector distribution names.","code":""},{"path":"/reference/ssd_fit_bcanz.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Fit BCANZ Distributions — ssd_fit_bcanz","text":"object class fitdists.","code":""},{"path":[]},{"path":"/reference/ssd_fit_bcanz.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Fit BCANZ Distributions — ssd_fit_bcanz","text":"","code":"ssd_fit_bcanz(ssddata::ccme_boron) #> Distribution 'gamma' #>   scale 25.1268 #>   shape 0.950179 #>  #> Distribution 'lgumbel' #>   locationlog 1.92263 #>   scalelog 1.23224 #>  #> Distribution 'llogis' #>   locationlog 2.62628 #>   scalelog 0.740426 #>  #> Distribution 'lnorm' #>   meanlog 2.56165 #>   sdlog 1.24154 #>  #> Distribution 'lnorm_lnorm' #>   meanlog1 0.949483 #>   meanlog2 3.20102 #>   pmix 0.283968 #>   sdlog1 0.554465 #>   sdlog2 0.768862 #>  #> Distribution 'weibull' #>   scale 23.514 #>   shape 0.9661 #>  #> Parameters estimated from 28 rows of data."},{"path":"/reference/ssd_fit_burrlioz.html","id":null,"dir":"Reference","previous_headings":"","what":"Fit Burrlioz Distributions — ssd_fit_burrlioz","title":"Fit Burrlioz Distributions — ssd_fit_burrlioz","text":"Fits 'burrIII3' distribution. shape1 parameter boundary returns 'lgumbel' (equivalent inverse Weibull). Else shape2 parameter boundary returns 'invpareto'. Otherwise returns 'burrIII3'","code":""},{"path":"/reference/ssd_fit_burrlioz.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Fit Burrlioz Distributions — ssd_fit_burrlioz","text":"","code":"ssd_fit_burrlioz(   data,   left = \"Conc\",   rescale = FALSE,   control = list(),   silent = FALSE )"},{"path":"/reference/ssd_fit_burrlioz.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Fit Burrlioz Distributions — ssd_fit_burrlioz","text":"data data frame. left string column data concentrations. rescale flag specifying whether rescale concentration values dividing geometric mean minimum maximum positive finite values. control list control parameters passed stats::optim(). silent flag indicating whether fits fail silently.","code":""},{"path":"/reference/ssd_fit_burrlioz.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Fit Burrlioz Distributions — ssd_fit_burrlioz","text":"object class fitdists.","code":""},{"path":[]},{"path":"/reference/ssd_fit_burrlioz.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Fit Burrlioz Distributions — ssd_fit_burrlioz","text":"","code":"ssd_fit_burrlioz(ssddata::ccme_boron) #> Distribution 'invpareto' #>   scale 75.2608 #>   shape 0.568403 #>  #> Parameters estimated from 28 rows of data."},{"path":"/reference/ssd_fit_dists.html","id":null,"dir":"Reference","previous_headings":"","what":"Fit Distributions — ssd_fit_dists","title":"Fit Distributions — ssd_fit_dists","text":"Fits one distributions species sensitivity data.","code":""},{"path":"/reference/ssd_fit_dists.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Fit Distributions — ssd_fit_dists","text":"","code":"ssd_fit_dists(   data,   left = \"Conc\",   right = left,   weight = NULL,   dists = ssd_dists_bcanz(),   nrow = 6L,   rescale = FALSE,   reweight = FALSE,   computable = FALSE,   at_boundary_ok = TRUE,   all_dists = FALSE,   min_pmix = ssd_min_pmix(nrow(data)),   range_shape1 = c(0.05, 20),   range_shape2 = range_shape1,   control = list(),   silent = FALSE )"},{"path":"/reference/ssd_fit_dists.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Fit Distributions — ssd_fit_dists","text":"data data frame. left string column data concentrations. right string column data right concentration values. weight string numeric column data positive weights less equal 1,000 NULL. dists character vector distribution names. nrow positive whole number minimum number non-missing rows. rescale flag specifying whether rescale concentration values dividing geometric mean minimum maximum positive finite values. reweight flag specifying whether reweight weights dividing largest weight. computable flag specifying whether return fits numerically computable standard errors. at_boundary_ok flag specifying whether model one parameters boundary considered converged (default = FALSE). all_dists flag specifying whether named distributions must fit successfully. min_pmix number 0 0.5 specifying minimum proportion mixture models. range_shape1 numeric vector length two lower upper bounds shape1 parameter. range_shape2 shape2 parameter. control list control parameters passed stats::optim(). silent flag indicating whether fits fail silently.","code":""},{"path":"/reference/ssd_fit_dists.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Fit Distributions — ssd_fit_dists","text":"object class fitdists.","code":""},{"path":"/reference/ssd_fit_dists.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Fit Distributions — ssd_fit_dists","text":"default 'gamma', 'lgumbel', 'llogis', 'lnorm', 'lnorm_lnorm' 'weibull' distributions fitted data. complete list distributions currently implemented ssdtools see ssd_dists_all(). weight specifies column data frame positive numbers, weighted estimation occurs. However, currently resultant parameter estimates available. right argument different left argument data considered censored.","code":""},{"path":[]},{"path":"/reference/ssd_fit_dists.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Fit Distributions — ssd_fit_dists","text":"","code":"fits <- ssd_fit_dists(ssddata::ccme_boron) fits #> Distribution 'gamma' #>   scale 25.1268 #>   shape 0.950179 #>  #> Distribution 'lgumbel' #>   locationlog 1.92263 #>   scalelog 1.23224 #>  #> Distribution 'llogis' #>   locationlog 2.62628 #>   scalelog 0.740426 #>  #> Distribution 'lnorm' #>   meanlog 2.56165 #>   sdlog 1.24154 #>  #> Distribution 'lnorm_lnorm' #>   meanlog1 0.949483 #>   meanlog2 3.20102 #>   pmix 0.283968 #>   sdlog1 0.554465 #>   sdlog2 0.768862 #>  #> Distribution 'weibull' #>   scale 23.514 #>   shape 0.9661 #>  #> Parameters estimated from 28 rows of data. ssd_plot_cdf(fits)  ssd_hc(fits) #> # A tibble: 1 × 11 #>   dist    proportion   est    se   lcl   ucl    wt method    nboot pboot samples #>   <chr>        <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <chr>     <int> <dbl> <I<lis> #> 1 average       0.05  1.26    NA    NA    NA     1 parametr…     0   NaN <dbl>"},{"path":"/reference/ssd_gof.html","id":null,"dir":"Reference","previous_headings":"","what":"Goodness of Fit — ssd_gof","title":"Goodness of Fit — ssd_gof","text":"Returns tbl data frame following columns dist distribution name (chr) aic Akaike's Information Criterion (dbl) bic Bayesian Information Criterion (dbl) data non-censored aicc Akaike's Information Criterion corrected sample size (dbl) 8 samples ad Anderson-Darling statistic (dbl) ks Kolmogorov-Smirnov statistic (dbl) cvm Cramer-von Mises statistic (dbl) case object class fitdists function also returns delta Information Criterion differences (dbl) weight Information Criterion weights (dbl) delta weight based aic censored data aicc non-censored data.","code":""},{"path":"/reference/ssd_gof.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Goodness of Fit — ssd_gof","text":"","code":"ssd_gof(x, ...)  # S3 method for class 'fitdists' ssd_gof(x, pvalue = FALSE, ...)"},{"path":"/reference/ssd_gof.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Goodness of Fit — ssd_gof","text":"x object. ... Unused. pvalue flag specifying whether return p-values statistics (default) various tests.","code":""},{"path":"/reference/ssd_gof.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Goodness of Fit — ssd_gof","text":"tbl data frame gof statistics.","code":""},{"path":"/reference/ssd_gof.html","id":"methods-by-class-","dir":"Reference","previous_headings":"","what":"Methods (by class)","title":"Goodness of Fit — ssd_gof","text":"ssd_gof(fitdists): Goodness Fit","code":""},{"path":[]},{"path":"/reference/ssd_gof.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Goodness of Fit — ssd_gof","text":"","code":"fits <- ssd_fit_dists(ssddata::ccme_boron) ssd_gof(fits) #> # A tibble: 6 × 9 #>   dist           ad     ks    cvm   aic  aicc   bic delta weight #>   <chr>       <dbl>  <dbl>  <dbl> <dbl> <dbl> <dbl> <dbl>  <dbl> #> 1 gamma       0.440 0.117  0.0554  238.  238.  240. 0.005  0.357 #> 2 lgumbel     0.829 0.158  0.134   244.  245.  247. 6.56   0.013 #> 3 llogis      0.487 0.0994 0.0595  241.  241.  244. 3.39   0.066 #> 4 lnorm       0.507 0.107  0.0703  239.  240.  242. 1.40   0.177 #> 5 lnorm_lnorm 0.320 0.116  0.0414  240.  243.  247. 4.98   0.03  #> 6 weibull     0.434 0.117  0.0542  238.  238.  240. 0      0.357 ssd_gof(fits) #> # A tibble: 6 × 9 #>   dist           ad     ks    cvm   aic  aicc   bic delta weight #>   <chr>       <dbl>  <dbl>  <dbl> <dbl> <dbl> <dbl> <dbl>  <dbl> #> 1 gamma       0.440 0.117  0.0554  238.  238.  240. 0.005  0.357 #> 2 lgumbel     0.829 0.158  0.134   244.  245.  247. 6.56   0.013 #> 3 llogis      0.487 0.0994 0.0595  241.  241.  244. 3.39   0.066 #> 4 lnorm       0.507 0.107  0.0703  239.  240.  242. 1.40   0.177 #> 5 lnorm_lnorm 0.320 0.116  0.0414  240.  243.  247. 4.98   0.03  #> 6 weibull     0.434 0.117  0.0542  238.  238.  240. 0      0.357"},{"path":"/reference/ssd_hc.html","id":null,"dir":"Reference","previous_headings":"","what":"Hazard Concentrations for Species Sensitivity Distributions — ssd_hc","title":"Hazard Concentrations for Species Sensitivity Distributions — ssd_hc","text":"Calculates concentration(s) bootstrap confidence intervals protect specified proportion(s) species individual model-averaged distributions using parametric non-parametric bootstrapping.","code":""},{"path":"/reference/ssd_hc.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Hazard Concentrations for Species Sensitivity Distributions — ssd_hc","text":"","code":"ssd_hc(x, ...)  # S3 method for class 'list' ssd_hc(x, percent, proportion = 0.05, ...)  # S3 method for class 'fitdists' ssd_hc(   x,   percent,   proportion = 0.05,   average = TRUE,   ci = FALSE,   level = 0.95,   nboot = 1000,   min_pboot = 0.95,   multi_est = TRUE,   ci_method = \"weighted_samples\",   parametric = TRUE,   delta = 9.21,   samples = FALSE,   save_to = NULL,   control = NULL,   ... )  # S3 method for class 'fitburrlioz' ssd_hc(   x,   percent,   proportion = 0.05,   ci = FALSE,   level = 0.95,   nboot = 1000,   min_pboot = 0.95,   parametric = FALSE,   samples = FALSE,   save_to = NULL,   ... )"},{"path":"/reference/ssd_hc.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Hazard Concentrations for Species Sensitivity Distributions — ssd_hc","text":"x object. ... Unused. percent numeric vector percent values estimate hazard concentrations . Soft-deprecated proportion = 0.05. proportion numeric vector proportion values estimate hazard concentrations . average flag specifying whether provide model averaged values opposed value distribution. ci flag specifying whether estimate confidence intervals (bootstrapping). level number 0 1 confidence level interval. nboot count number bootstrap samples use estimate confidence limits. value 10,000 recommended official guidelines. min_pboot number 0 1 minimum proportion bootstrap samples must successfully fit (return likelihood) report confidence intervals. multi_est flag specifying whether treat distributions constituting single distribution (opposed taking mean) calculating model averaged estimates. ci_method string specifying method use estimating bootstrap values. Possible values \"multi_free\" \"multi_fixed\" treat distributions constituting single distribution differ whether model weights fixed \"weighted_samples\" \"weighted_arithmetic\" take bootstrap samples distribution proportional weight versus calculating weighted arithmetic means lower upper confidence limits. parametric flag specifying whether perform parametric bootstrapping opposed non-parametrically resampling original data replacement. delta non-negative number specifying maximum absolute AIC difference cutoff. Distributions absolute AIC difference greater delta excluded calculations. samples flag specfying whether include numeric vector bootstrap samples list column output. save_to NULL string specifying directory save bootstrap datasets parameter estimates (successfully converged) . control list control parameters passed stats::optim().","code":""},{"path":"/reference/ssd_hc.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Hazard Concentrations for Species Sensitivity Distributions — ssd_hc","text":"tibble corresponding hazard concentrations.","code":""},{"path":"/reference/ssd_hc.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Hazard Concentrations for Species Sensitivity Distributions — ssd_hc","text":"Model-averaged estimates /confidence intervals (including standard error) can calculated  treating distributions constituting single mixture distribution versus 'taking mean'. calculating model averaged estimates treating distributions constituting single mixture distribution ensures ssd_hc() inverse ssd_hp(). treating distributions constituting single mixture distribution calculating model average confidence intervals weighted specifies whether use original model weights versus re-estimating bootstrap sample unless 'taking mean' case weighted specifies whether take bootstrap samples distribution proportional weight (sum nboot) versus calculating weighted arithmetic means lower upper confidence limits based nboot samples distribution. Distributions absolute AIC difference greater delta default 7 considerably less support (weight < 0.01) excluded prior calculation hazard concentrations reduce run time.","code":""},{"path":"/reference/ssd_hc.html","id":"methods-by-class-","dir":"Reference","previous_headings":"","what":"Methods (by class)","title":"Hazard Concentrations for Species Sensitivity Distributions — ssd_hc","text":"ssd_hc(list): Hazard Concentrations Distributional Estimates ssd_hc(fitdists): Hazard Concentrations fitdists Object ssd_hc(fitburrlioz): Hazard Concentrations fitburrlioz Object","code":""},{"path":"/reference/ssd_hc.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Hazard Concentrations for Species Sensitivity Distributions — ssd_hc","text":"Burnham, K.P., Anderson, D.R. 2002. Model Selection Multimodel Inference. Springer New York, New York, NY. doi:10.1007/b97636.","code":""},{"path":[]},{"path":"/reference/ssd_hc.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Hazard Concentrations for Species Sensitivity Distributions — ssd_hc","text":"","code":"ssd_hc(ssd_match_moments()) #> # A tibble: 6 × 9 #>   dist        proportion   est    se   lcl   ucl    wt nboot pboot #>   <chr>            <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <int> <dbl> #> 1 gamma             0.05 0.481    NA    NA    NA     1     0    NA #> 2 lgumbel           0.05 0.739    NA    NA    NA     1     0    NA #> 3 llogis            0.05 0.562    NA    NA    NA     1     0    NA #> 4 lnorm             0.05 0.558    NA    NA    NA     1     0    NA #> 5 lnorm_lnorm       0.05 0.469    NA    NA    NA     1     0    NA #> 6 weibull           0.05 0.501    NA    NA    NA     1     0    NA  fits <- ssd_fit_dists(ssddata::ccme_boron) ssd_hc(fits) #> # A tibble: 1 × 11 #>   dist    proportion   est    se   lcl   ucl    wt method    nboot pboot samples #>   <chr>        <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <chr>     <int> <dbl> <I<lis> #> 1 average       0.05  1.26    NA    NA    NA     1 parametr…     0   NaN <dbl>    fit <- ssd_fit_burrlioz(ssddata::ccme_boron) ssd_hc(fit) #> # A tibble: 1 × 11 #>   dist      proportion   est    se   lcl   ucl    wt method  nboot pboot samples #>   <chr>          <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <chr>   <int> <dbl> <I<lis> #> 1 invpareto       0.05 0.387    NA    NA    NA     1 non-pa…     0    NA <dbl>"},{"path":"/reference/ssd_hc_bcanz.html","id":null,"dir":"Reference","previous_headings":"","what":"BCANZ Hazard Concentrations — ssd_hc_bcanz","title":"BCANZ Hazard Concentrations — ssd_hc_bcanz","text":"Gets hazard concentrations confidence intervals protect 1, 5, 10 20% species using settings adopted BC, Canada, Australia New Zealand official guidelines. function can take several minutes run recommended 10,000 iterations.","code":""},{"path":"/reference/ssd_hc_bcanz.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"BCANZ Hazard Concentrations — ssd_hc_bcanz","text":"","code":"ssd_hc_bcanz(x, nboot = 10000, min_pboot = 0.95)"},{"path":"/reference/ssd_hc_bcanz.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"BCANZ Hazard Concentrations — ssd_hc_bcanz","text":"x object. nboot count number bootstrap samples use estimate confidence limits. value 10,000 recommended official guidelines. min_pboot number 0 1 minimum proportion bootstrap samples must successfully fit (return likelihood) report confidence intervals.","code":""},{"path":"/reference/ssd_hc_bcanz.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"BCANZ Hazard Concentrations — ssd_hc_bcanz","text":"tibble corresponding hazard concentrations.","code":""},{"path":[]},{"path":"/reference/ssd_hc_bcanz.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"BCANZ Hazard Concentrations — ssd_hc_bcanz","text":"","code":"fits <- ssd_fit_bcanz(ssddata::ccme_boron) ssd_hc_bcanz(fits, nboot = 100) #> # A tibble: 4 × 11 #>   dist    proportion   est    se    lcl   ucl    wt method   nboot pboot samples #>   <chr>        <dbl> <dbl> <dbl>  <dbl> <dbl> <dbl> <chr>    <dbl> <dbl> <I<lis> #> 1 average       0.01 0.267 0.476 0.0596  1.73     1 paramet…   100     1 <dbl>   #> 2 average       0.05 1.26  0.880 0.453   3.94     1 paramet…   100     1 <dbl>   #> 3 average       0.1  2.38  1.22  1.11    5.89     1 paramet…   100     1 <dbl>   #> 4 average       0.2  4.81  1.81  2.70    9.50     1 paramet…   100     1 <dbl>"},{"path":"/reference/ssd_hc_burrlioz.html","id":null,"dir":"Reference","previous_headings":"","what":"Hazard Concentrations for Burrlioz Fit  — ssd_hc_burrlioz","title":"Hazard Concentrations for Burrlioz Fit  — ssd_hc_burrlioz","text":"Deprecated ssd_hc().","code":""},{"path":"/reference/ssd_hc_burrlioz.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Hazard Concentrations for Burrlioz Fit  — ssd_hc_burrlioz","text":"","code":"ssd_hc_burrlioz(   x,   percent,   proportion = 0.05,   ci = FALSE,   level = 0.95,   nboot = 1000,   min_pboot = 0.95,   parametric = FALSE )"},{"path":"/reference/ssd_hc_burrlioz.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Hazard Concentrations for Burrlioz Fit  — ssd_hc_burrlioz","text":"x object. percent numeric vector percent values estimate hazard concentrations . Soft-deprecated proportion = 0.05. proportion numeric vector proportion values estimate hazard concentrations . ci flag specifying whether estimate confidence intervals (bootstrapping). level number 0 1 confidence level interval. nboot count number bootstrap samples use estimate confidence limits. value 10,000 recommended official guidelines. min_pboot number 0 1 minimum proportion bootstrap samples must successfully fit (return likelihood) report confidence intervals. parametric flag specifying whether perform parametric bootstrapping opposed non-parametrically resampling original data replacement.","code":""},{"path":"/reference/ssd_hc_burrlioz.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Hazard Concentrations for Burrlioz Fit  — ssd_hc_burrlioz","text":"tibble corresponding hazard concentrations.","code":""},{"path":"/reference/ssd_hp.html","id":null,"dir":"Reference","previous_headings":"","what":"Hazard Proportion — ssd_hp","title":"Hazard Proportion — ssd_hp","text":"Calculates proportion species affected specified concentration(s) quantile based bootstrap confidence intervals individual model-averaged distributions using parametric non-parametric bootstrapping. information see inverse function ssd_hc().","code":""},{"path":"/reference/ssd_hp.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Hazard Proportion — ssd_hp","text":"","code":"ssd_hp(x, ...)  # S3 method for class 'fitdists' ssd_hp(   x,   conc = 1,   average = TRUE,   ci = FALSE,   level = 0.95,   nboot = 1000,   min_pboot = 0.95,   multi_est = TRUE,   ci_method = \"weighted_samples\",   parametric = TRUE,   delta = 9.21,   samples = FALSE,   save_to = NULL,   control = NULL,   ... )  # S3 method for class 'fitburrlioz' ssd_hp(   x,   conc = 1,   ci = FALSE,   level = 0.95,   nboot = 1000,   min_pboot = 0.95,   parametric = FALSE,   samples = FALSE,   save_to = NULL,   ... )"},{"path":"/reference/ssd_hp.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Hazard Proportion — ssd_hp","text":"x object. ... Unused. conc numeric vector concentrations calculate hazard proportions . average flag specifying whether provide model averaged values opposed value distribution. ci flag specifying whether estimate confidence intervals (bootstrapping). level number 0 1 confidence level interval. nboot count number bootstrap samples use estimate confidence limits. value 10,000 recommended official guidelines. min_pboot number 0 1 minimum proportion bootstrap samples must successfully fit (return likelihood) report confidence intervals. multi_est flag specifying whether treat distributions constituting single distribution (opposed taking mean) calculating model averaged estimates. ci_method string specifying method use estimating bootstrap values. Possible values \"multi_free\" \"multi_fixed\" treat distributions constituting single distribution differ whether model weights fixed \"weighted_samples\" \"weighted_arithmetic\" take bootstrap samples distribution proportional weight versus calculating weighted arithmetic means lower upper confidence limits. parametric flag specifying whether perform parametric bootstrapping opposed non-parametrically resampling original data replacement. delta non-negative number specifying maximum absolute AIC difference cutoff. Distributions absolute AIC difference greater delta excluded calculations. samples flag specfying whether include numeric vector bootstrap samples list column output. save_to NULL string specifying directory save bootstrap datasets parameter estimates (successfully converged) . control list control parameters passed stats::optim().","code":""},{"path":"/reference/ssd_hp.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Hazard Proportion — ssd_hp","text":"tibble corresponding hazard proportions.","code":""},{"path":"/reference/ssd_hp.html","id":"methods-by-class-","dir":"Reference","previous_headings":"","what":"Methods (by class)","title":"Hazard Proportion — ssd_hp","text":"ssd_hp(fitdists): Hazard Proportions fitdists Object ssd_hp(fitburrlioz): Hazard Proportions fitburrlioz Object","code":""},{"path":[]},{"path":"/reference/ssd_hp.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Hazard Proportion — ssd_hp","text":"","code":"fits <- ssd_fit_dists(ssddata::ccme_boron) ssd_hp(fits, conc = 1) #> # A tibble: 1 × 11 #>   dist     conc   est    se   lcl   ucl    wt method     nboot pboot samples   #>   <chr>   <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <chr>      <int> <dbl> <I<list>> #> 1 average     1  3.90    NA    NA    NA     1 parametric     0   NaN <dbl [0]>  fit <- ssd_fit_burrlioz(ssddata::ccme_boron) ssd_hp(fit) #> # A tibble: 1 × 11 #>   dist       conc   est    se   lcl   ucl    wt method       nboot pboot samples #>   <chr>     <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <chr>        <int> <dbl> <I<lis> #> 1 invpareto     1  8.58    NA    NA    NA     1 non-paramet…     0    NA <dbl>"},{"path":"/reference/ssd_hp_bcanz.html","id":null,"dir":"Reference","previous_headings":"","what":"BCANZ Hazard Proportion — ssd_hp_bcanz","title":"BCANZ Hazard Proportion — ssd_hp_bcanz","text":"Gets  proportion species affected specified concentration(s) using settings adopted BC, Canada, Australia New Zealand official guidelines. function can take several minutes run recommended 10,000 iterations.","code":""},{"path":"/reference/ssd_hp_bcanz.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"BCANZ Hazard Proportion — ssd_hp_bcanz","text":"","code":"ssd_hp_bcanz(x, conc = 1, nboot = 10000, min_pboot = 0.95)"},{"path":"/reference/ssd_hp_bcanz.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"BCANZ Hazard Proportion — ssd_hp_bcanz","text":"x object. conc numeric vector concentrations calculate hazard proportions . nboot count number bootstrap samples use estimate confidence limits. value 10,000 recommended official guidelines. min_pboot number 0 1 minimum proportion bootstrap samples must successfully fit (return likelihood) report confidence intervals.","code":""},{"path":"/reference/ssd_hp_bcanz.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"BCANZ Hazard Proportion — ssd_hp_bcanz","text":"tibble corresponding hazard concentrations.","code":""},{"path":[]},{"path":"/reference/ssd_hp_bcanz.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"BCANZ Hazard Proportion — ssd_hp_bcanz","text":"","code":"fits <- ssd_fit_bcanz(ssddata::ccme_boron) ssd_hp_bcanz(fits, nboot = 100) #> # A tibble: 1 × 11 #>   dist     conc   est    se   lcl   ucl    wt method     nboot pboot samples   #>   <chr>   <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <chr>      <dbl> <dbl> <I<list>> #> 1 average     1  3.90  2.84 0.393  10.9     1 parametric   100     1 <dbl [0]>"},{"path":"/reference/ssd_is_censored.html","id":null,"dir":"Reference","previous_headings":"","what":"Is Censored — ssd_is_censored","title":"Is Censored — ssd_is_censored","text":"Tests object censored data. Test data frame censored. Test fitdists object censored.","code":""},{"path":"/reference/ssd_is_censored.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Is Censored — ssd_is_censored","text":"","code":"ssd_is_censored(x, ...)  # S3 method for class 'data.frame' ssd_is_censored(x, left = \"Conc\", right = left, ...)  # S3 method for class 'fitdists' ssd_is_censored(x, ...)"},{"path":"/reference/ssd_is_censored.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Is Censored — ssd_is_censored","text":"x object. ... Unused. left string column data concentrations. right string column data right concentration values.","code":""},{"path":"/reference/ssd_is_censored.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Is Censored — ssd_is_censored","text":"flag indicating whether object censored.","code":""},{"path":"/reference/ssd_is_censored.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Is Censored — ssd_is_censored","text":"","code":"ssd_is_censored(ssddata::ccme_boron) #> [1] FALSE ssd_is_censored(data.frame(Conc = 1, right = 2), right = \"right\") #> [1] TRUE  fits <- ssd_fit_dists(ssddata::ccme_boron) ssd_is_censored(fits) #> [1] FALSE"},{"path":"/reference/ssd_label_comma.html","id":null,"dir":"Reference","previous_headings":"","what":"Label numbers with significant digits and comma — ssd_label_comma","title":"Label numbers with significant digits and comma — ssd_label_comma","text":"Label numbers significant digits comma","code":""},{"path":"/reference/ssd_label_comma.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Label numbers with significant digits and comma — ssd_label_comma","text":"","code":"ssd_label_comma(digits = 3, ..., big.mark = \",\")"},{"path":"/reference/ssd_label_comma.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Label numbers with significant digits and comma — ssd_label_comma","text":"digits whole number specifying number significant figures. ... Unused. big.mark string specifying used every 3 digits separate thousands x-axis.","code":""},{"path":"/reference/ssd_label_comma.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Label numbers with significant digits and comma — ssd_label_comma","text":"\"labelling\" function takes vector x returns character vector length(x) giving label input value.","code":""},{"path":[]},{"path":"/reference/ssd_label_comma.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Label numbers with significant digits and comma — ssd_label_comma","text":"","code":"ggplot2::ggplot(data = ssddata::anon_e, ggplot2::aes(x = Conc / 10)) +   geom_ssdpoint() +   ggplot2::scale_x_log10(labels = ssd_label_comma())"},{"path":"/reference/ssd_licensing_md.html","id":null,"dir":"Reference","previous_headings":"","what":"Licensing Markdown — ssd_licensing_md","title":"Licensing Markdown — ssd_licensing_md","text":"string markdown code indicating licensing code documentation","code":""},{"path":"/reference/ssd_licensing_md.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Licensing Markdown — ssd_licensing_md","text":"","code":"ssd_licensing_md()"},{"path":"/reference/ssd_licensing_md.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Licensing Markdown — ssd_licensing_md","text":"","code":"ssd_licensing_md() #> [1] \"## Licensing\\n  Copyright 2018-2024 Province of British Columbia\\\\\\n  Copyright 2021 Environment and Climate Change Canada\\\\\\n  Copyright 2023-2024 Australian Government Department of Climate Change, Energy, the Environment and Water\\n\\n  The documentation is released under the\\n  [CC BY 4.0 License](https://creativecommons.org/licenses/by/4.0/)\\n\\n  The code is released under the\\n  [Apache License 2.0](https://www.apache.org/licenses/LICENSE-2.0)\\n\""},{"path":"/reference/ssd_match_moments.html","id":null,"dir":"Reference","previous_headings":"","what":"Match Moments — ssd_match_moments","title":"Match Moments — ssd_match_moments","text":"Gets named list values produce moment values (meanlog sdlog) distribution term.","code":""},{"path":"/reference/ssd_match_moments.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Match Moments — ssd_match_moments","text":"","code":"ssd_match_moments(   dists = ssd_dists_bcanz(),   meanlog = 1,   sdlog = 1,   nsim = 1e+05 )"},{"path":"/reference/ssd_match_moments.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Match Moments — ssd_match_moments","text":"dists character vector distribution names. meanlog mean log scale. sdlog standard deviation log scale. nsim positive whole number number simulations generate.","code":""},{"path":"/reference/ssd_match_moments.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Match Moments — ssd_match_moments","text":"named list values produce moment values distribution term.","code":""},{"path":[]},{"path":"/reference/ssd_match_moments.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Match Moments — ssd_match_moments","text":"","code":"moments <- ssd_match_moments() print(moments) #> $gamma #>    shape    scale  #> 1.479687 2.589063  #>  #> $lgumbel #> locationlog    scalelog  #>    0.534375    0.762500  #>  #> $llogis #> locationlog    scalelog  #>     0.96875     0.52500  #>  #> $lnorm #>   meanlog     sdlog  #> 0.9812500 0.9515625  #>  #> $lnorm_lnorm #>  meanlog1    sdlog1  meanlog2    sdlog2      pmix  #> 0.1409856 1.0659456 1.1849856 0.9799296 0.1487680  #>  #> $weibull #>    shape    scale  #> 1.352319 4.502075  #>  ssd_hc(moments) #> # A tibble: 6 × 9 #>   dist        proportion   est    se   lcl   ucl    wt nboot pboot #>   <chr>            <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <int> <dbl> #> 1 gamma             0.05 0.439    NA    NA    NA     1     0    NA #> 2 lgumbel           0.05 0.739    NA    NA    NA     1     0    NA #> 3 llogis            0.05 0.562    NA    NA    NA     1     0    NA #> 4 lnorm             0.05 0.558    NA    NA    NA     1     0    NA #> 5 lnorm_lnorm       0.05 0.469    NA    NA    NA     1     0    NA #> 6 weibull           0.05 0.501    NA    NA    NA     1     0    NA ssd_plot_cdf(moments)"},{"path":"/reference/ssd_min_pmix.html","id":null,"dir":"Reference","previous_headings":"","what":"Calculate Minimum Proportion in Mixture Models — ssd_min_pmix","title":"Calculate Minimum Proportion in Mixture Models — ssd_min_pmix","text":"Calculate Minimum Proportion Mixture Models","code":""},{"path":"/reference/ssd_min_pmix.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Calculate Minimum Proportion in Mixture Models — ssd_min_pmix","text":"","code":"ssd_min_pmix(n)"},{"path":"/reference/ssd_min_pmix.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Calculate Minimum Proportion in Mixture Models — ssd_min_pmix","text":"n positive number observations.","code":""},{"path":"/reference/ssd_min_pmix.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Calculate Minimum Proportion in Mixture Models — ssd_min_pmix","text":"number 0 0.5 minimum proportion mixture models.","code":""},{"path":[]},{"path":"/reference/ssd_min_pmix.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Calculate Minimum Proportion in Mixture Models — ssd_min_pmix","text":"","code":"ssd_min_pmix(6) #> [1] 0.5 ssd_min_pmix(50) #> [1] 0.1"},{"path":"/reference/ssd_p.html","id":null,"dir":"Reference","previous_headings":"","what":"Cumulative Distribution Function — ssd_pburrIII3","title":"Cumulative Distribution Function — ssd_pburrIII3","text":"Cumulative Distribution Function","code":""},{"path":"/reference/ssd_p.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cumulative Distribution Function — ssd_pburrIII3","text":"","code":"ssd_pburrIII3(   q,   shape1 = 1,   shape2 = 1,   scale = 1,   lower.tail = TRUE,   log.p = FALSE )  ssd_pgamma(q, shape = 1, scale = 1, lower.tail = TRUE, log.p = FALSE)  ssd_pgompertz(q, location = 1, shape = 1, lower.tail = TRUE, log.p = FALSE)  ssd_pinvpareto(q, shape = 3, scale = 1, lower.tail = TRUE, log.p = FALSE)  ssd_plgumbel(   q,   locationlog = 0,   scalelog = 1,   lower.tail = TRUE,   log.p = FALSE )  ssd_pllogis_llogis(   q,   locationlog1 = 0,   scalelog1 = 1,   locationlog2 = 1,   scalelog2 = 1,   pmix = 0.5,   lower.tail = TRUE,   log.p = FALSE )  ssd_pllogis(q, locationlog = 0, scalelog = 1, lower.tail = TRUE, log.p = FALSE)  ssd_plnorm_lnorm(   q,   meanlog1 = 0,   sdlog1 = 1,   meanlog2 = 1,   sdlog2 = 1,   pmix = 0.5,   lower.tail = TRUE,   log.p = FALSE )  ssd_plnorm(q, meanlog = 0, sdlog = 1, lower.tail = TRUE, log.p = FALSE)  ssd_pmulti(   q,   burrIII3.weight = 0,   burrIII3.shape1 = 1,   burrIII3.shape2 = 1,   burrIII3.scale = 1,   gamma.weight = 0,   gamma.shape = 1,   gamma.scale = 1,   gompertz.weight = 0,   gompertz.location = 1,   gompertz.shape = 1,   invpareto.weight = 0,   invpareto.shape = 3,   invpareto.scale = 1,   lgumbel.weight = 0,   lgumbel.locationlog = 0,   lgumbel.scalelog = 1,   llogis.weight = 0,   llogis.locationlog = 0,   llogis.scalelog = 1,   llogis_llogis.weight = 0,   llogis_llogis.locationlog1 = 0,   llogis_llogis.scalelog1 = 1,   llogis_llogis.locationlog2 = 1,   llogis_llogis.scalelog2 = 1,   llogis_llogis.pmix = 0.5,   lnorm.weight = 1,   lnorm.meanlog = 0,   lnorm.sdlog = 1,   lnorm_lnorm.weight = 0,   lnorm_lnorm.meanlog1 = 0,   lnorm_lnorm.sdlog1 = 1,   lnorm_lnorm.meanlog2 = 1,   lnorm_lnorm.sdlog2 = 1,   lnorm_lnorm.pmix = 0.5,   weibull.weight = 0,   weibull.shape = 1,   weibull.scale = 1,   lower.tail = TRUE,   log.p = FALSE )  ssd_pweibull(q, shape = 1, scale = 1, lower.tail = TRUE, log.p = FALSE)"},{"path":"/reference/ssd_p.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Cumulative Distribution Function — ssd_pburrIII3","text":"q vector quantiles. shape1 shape1 parameter. shape2 shape2 parameter. scale scale parameter. lower.tail logical; TRUE (default), probabilities P[X <= x], otherwise, P[X > x]. log.p logical; TRUE, probabilities p given log(p). shape shape parameter. location location parameter. locationlog location log scale parameter. scalelog scale log scale parameter. locationlog1 locationlog1 parameter. scalelog1 scalelog1 parameter. locationlog2 locationlog2 parameter. scalelog2 scalelog2 parameter. pmix Proportion mixture parameter. meanlog1 mean log scale parameter. sdlog1 standard deviation log scale parameter. meanlog2 mean log scale parameter. sdlog2 standard deviation log scale parameter. meanlog mean log scale parameter. sdlog standard deviation log scale parameter. burrIII3.weight weight parameter Burr III distribution. burrIII3.shape1 shape1 parameter Burr III distribution. burrIII3.shape2 shape2 parameter Burr III distribution. burrIII3.scale scale parameter Burr III distribution. gamma.weight weight parameter gamma distribution. gamma.shape shape parameter gamma distribution. gamma.scale scale parameter gamma distribution. gompertz.weight weight parameter Gompertz distribution. gompertz.location location parameter Gompertz distribution. gompertz.shape shape parameter Gompertz distribution. invpareto.weight weight parameter inverse Pareto distribution. invpareto.shape shape parameter inverse Pareto distribution. invpareto.scale scale parameter inverse Pareto distribution. lgumbel.weight weight parameter log-Gumbel distribution. lgumbel.locationlog location parameter log-Gumbel distribution. lgumbel.scalelog scale parameter log-Gumbel distribution. llogis.weight weight parameter log-logistic distribution. llogis.locationlog location parameter log-logistic distribution. llogis.scalelog scale parameter log-logistic distribution. llogis_llogis.weight weight parameter log-logistic log-logistic mixture distribution. llogis_llogis.locationlog1 locationlog1 parameter log-logistic log-logistic mixture distribution. llogis_llogis.scalelog1 scalelog1 parameter log-logistic log-logistic mixture distribution. llogis_llogis.locationlog2 locationlog2 parameter log-logistic log-logistic mixture distribution. llogis_llogis.scalelog2 scalelog2 parameter log-logistic log-logistic mixture distribution. llogis_llogis.pmix pmix parameter log-logistic log-logistic mixture distribution. lnorm.weight weight parameter log-normal distribution. lnorm.meanlog meanlog parameter log-normal distribution. lnorm.sdlog sdlog parameter log-normal distribution. lnorm_lnorm.weight weight parameter log-normal log-normal mixture distribution. lnorm_lnorm.meanlog1 meanlog1 parameter log-normal log-normal mixture distribution. lnorm_lnorm.sdlog1 sdlog1 parameter log-normal log-normal mixture distribution. lnorm_lnorm.meanlog2 meanlog2 parameter log-normal log-normal mixture distribution. lnorm_lnorm.sdlog2 sdlog2 parameter log-normal log-normal mixture distribution. lnorm_lnorm.pmix pmix parameter log-normal log-normal mixture distribution. weibull.weight weight parameter Weibull distribution. weibull.shape shape parameter Weibull distribution. weibull.scale scale parameter Weibull distribution.","code":""},{"path":"/reference/ssd_p.html","id":"functions","dir":"Reference","previous_headings":"","what":"Functions","title":"Cumulative Distribution Function — ssd_pburrIII3","text":"ssd_pburrIII3(): Cumulative Distribution Function BurrIII Distribution ssd_pgamma(): Cumulative Distribution Function Gamma Distribution ssd_pgompertz(): Cumulative Distribution Function Gompertz Distribution ssd_pinvpareto(): Cumulative Distribution Function Inverse Pareto Distribution ssd_plgumbel(): Cumulative Distribution Function Log-Gumbel Distribution ssd_pllogis_llogis(): Cumulative Distribution Function Log-Logistic/Log-Logistic Mixture Distribution ssd_pllogis(): Cumulative Distribution Function Log-Logistic Distribution ssd_plnorm_lnorm(): Cumulative Distribution Function Log-Normal/Log-Normal Mixture Distribution ssd_plnorm(): Cumulative Distribution Function Log-Normal Distribution ssd_pmulti(): Cumulative Distribution Function Multiple Distributions ssd_pweibull(): Cumulative Distribution Function Weibull Distribution","code":""},{"path":[]},{"path":"/reference/ssd_p.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Cumulative Distribution Function — ssd_pburrIII3","text":"","code":"ssd_pburrIII3(1) #> [1] 0.5  ssd_pgamma(1) #> [1] 0.6321206  ssd_pgompertz(1) #> [1] 0.8206259  ssd_pinvpareto(1) #> [1] 1  ssd_plgumbel(1) #> [1] 0.3678794  ssd_pllogis_llogis(1) #> [1] 0.3844707  ssd_pllogis(1) #> [1] 0.5  ssd_plnorm_lnorm(1) #> [1] 0.3293276  ssd_plnorm(1) #> [1] 0.5  # multi ssd_pmulti(1) #> [1] 0.5  ssd_pweibull(1) #> [1] 0.6321206"},{"path":"/reference/ssd_pal.html","id":null,"dir":"Reference","previous_headings":"","what":"Color-blind Palette for SSD Plots — ssd_pal","title":"Color-blind Palette for SSD Plots — ssd_pal","text":"Color-blind Palette SSD Plots","code":""},{"path":"/reference/ssd_pal.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Color-blind Palette for SSD Plots — ssd_pal","text":"","code":"ssd_pal()"},{"path":"/reference/ssd_pal.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Color-blind Palette for SSD Plots — ssd_pal","text":"character vector color blind palette 8 colors.","code":""},{"path":[]},{"path":"/reference/ssd_pal.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Color-blind Palette for SSD Plots — ssd_pal","text":"","code":"ssd_pal() #> function (n)  #> { #>     n_values <- length(values) #>     if (n > n_values) { #>         cli::cli_warn(\"This manual palette can handle a maximum of {n_values} values. You have supplied {n}\") #>     } #>     unname(values[seq_len(n)]) #> } #> <bytecode: 0x55e562346548> #> <environment: 0x55e55d680f00> #> attr(,\"max_n\") #> [1] 8"},{"path":"/reference/ssd_plot.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot Species Sensitivity Data and Distributions — ssd_plot","title":"Plot Species Sensitivity Data and Distributions — ssd_plot","text":"Plots species sensitivity data distributions.","code":""},{"path":"/reference/ssd_plot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot Species Sensitivity Data and Distributions — ssd_plot","text":"","code":"ssd_plot(   data,   pred,   left = \"Conc\",   right = left,   ...,   label = NULL,   shape = NULL,   color = NULL,   size = 2.5,   linetype = NULL,   linecolor = NULL,   xlab = \"Concentration\",   ylab = \"Species Affected\",   ci = TRUE,   ribbon = TRUE,   hc = 0.05,   shift_x = 3,   add_x = 0,   bounds = c(left = 1, right = 1),   big.mark = \",\",   suffix = \"%\",   trans = \"log10\",   xbreaks = waiver() )"},{"path":"/reference/ssd_plot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot Species Sensitivity Data and Distributions — ssd_plot","text":"data data frame. pred data frame predictions. left string column data concentrations. right string column data right concentration values. ... Unused. label string column data labels. shape string column data shape aesthetic. color string column data color aesthetic. size number size labels. linetype string column pred use linetype. linecolor string column pred use line color. xlab string x-axis label. ylab string x-axis label. ci flag specifying whether estimate confidence intervals (bootstrapping). ribbon flag indicating whether plot confidence interval grey ribbon opposed green solid lines. hc value 0 1 indicating proportion hazard concentration (NULL). shift_x value multiply label x values (adding add_x). add_x value add label x values (multiplying shift_x). bounds named non-negative numeric vector left right bounds uncensored missing (0 Inf) data terms orders magnitude relative extremes non-missing values. big.mark string specifying used every 3 digits separate thousands x-axis. suffix Additional text display number y-axis. trans string transformation use default \"log10\". xbreaks x-axis breaks one : NULL breaks waiver() default breaks numeric vector positions","code":""},{"path":[]},{"path":"/reference/ssd_plot.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot Species Sensitivity Data and Distributions — ssd_plot","text":"","code":"ssd_plot(ssddata::ccme_boron, boron_pred, label = \"Species\", shape = \"Group\")"},{"path":"/reference/ssd_plot_cdf.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot Cumulative Distribution Function (CDF) — ssd_plot_cdf","title":"Plot Cumulative Distribution Function (CDF) — ssd_plot_cdf","text":"Generic function plots cumulative distribution function (CDF).","code":""},{"path":"/reference/ssd_plot_cdf.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot Cumulative Distribution Function (CDF) — ssd_plot_cdf","text":"","code":"ssd_plot_cdf(x, ...)  # S3 method for class 'fitdists' ssd_plot_cdf(x, average = FALSE, delta = 9.21, ...)  # S3 method for class 'list' ssd_plot_cdf(x, ...)"},{"path":"/reference/ssd_plot_cdf.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot Cumulative Distribution Function (CDF) — ssd_plot_cdf","text":"x object. ... Additional arguments passed ssd_plot(). average flag specifying whether provide model averaged values opposed value distribution NA provides model averaged individual values. delta non-negative number specifying maximum absolute AIC difference cutoff. Distributions absolute AIC difference greater delta excluded calculations.","code":""},{"path":"/reference/ssd_plot_cdf.html","id":"methods-by-class-","dir":"Reference","previous_headings":"","what":"Methods (by class)","title":"Plot Cumulative Distribution Function (CDF) — ssd_plot_cdf","text":"ssd_plot_cdf(fitdists): Plot CDF fitdists object ssd_plot_cdf(list): Plot CDF named list distributional parameter values","code":""},{"path":[]},{"path":"/reference/ssd_plot_cdf.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot Cumulative Distribution Function (CDF) — ssd_plot_cdf","text":"","code":"fits <- ssd_fit_dists(ssddata::ccme_boron) ssd_plot_cdf(fits)  ssd_plot_cdf(fits, average = NA)   ssd_plot_cdf(list(   llogis = c(locationlog = 2, scalelog = 1),   lnorm = c(meanlog = 2, sdlog = 2) ))"},{"path":"/reference/ssd_plot_cf.html","id":null,"dir":"Reference","previous_headings":"","what":"Cullen and Frey Plot  — ssd_plot_cf","title":"Cullen and Frey Plot  — ssd_plot_cf","text":"Plots Cullen Frey graph skewness kurtosis non-censored data.","code":""},{"path":"/reference/ssd_plot_cf.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cullen and Frey Plot  — ssd_plot_cf","text":"","code":"ssd_plot_cf(data, left = \"Conc\")"},{"path":"/reference/ssd_plot_cf.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Cullen and Frey Plot  — ssd_plot_cf","text":"data data frame. left string column data concentrations.","code":""},{"path":"/reference/ssd_plot_cf.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Cullen and Frey Plot  — ssd_plot_cf","text":"Soft deprecated direct call fitdistrplus::descdist().","code":""},{"path":"/reference/ssd_plot_data.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot Species Sensitivity Data — ssd_plot_data","title":"Plot Species Sensitivity Data — ssd_plot_data","text":"Plots species sensitivity data.","code":""},{"path":"/reference/ssd_plot_data.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot Species Sensitivity Data — ssd_plot_data","text":"","code":"ssd_plot_data(   data,   left = \"Conc\",   right = left,   ...,   label = NULL,   shape = NULL,   color = NULL,   size = 2.5,   xlab = \"Concentration\",   ylab = \"Species Affected\",   shift_x = 3,   add_x = 0,   big.mark = \",\",   suffix = \"%\",   bounds = c(left = 1, right = 1),   trans = \"log10\",   xbreaks = waiver() )"},{"path":"/reference/ssd_plot_data.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot Species Sensitivity Data — ssd_plot_data","text":"data data frame. left string column data concentrations. right string column data right concentration values. ... Unused. label string column data labels. shape string column data shape aesthetic. color string column data color aesthetic. size number size labels. xlab string x-axis label. ylab string x-axis label. shift_x value multiply label x values (adding add_x). add_x value add label x values (multiplying shift_x). big.mark string specifying used every 3 digits separate thousands x-axis. suffix Additional text display number y-axis. bounds named non-negative numeric vector left right bounds uncensored missing (0 Inf) data terms orders magnitude relative extremes non-missing values. trans string transformation use default \"log10\". xbreaks x-axis breaks one : NULL breaks waiver() default breaks numeric vector positions","code":""},{"path":[]},{"path":"/reference/ssd_plot_data.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot Species Sensitivity Data — ssd_plot_data","text":"","code":"ssd_plot_data(ssddata::ccme_boron, label = \"Species\", shape = \"Group\")"},{"path":"/reference/ssd_q.html","id":null,"dir":"Reference","previous_headings":"","what":"Quantile Function — ssd_qburrIII3","title":"Quantile Function — ssd_qburrIII3","text":"Quantile Function","code":""},{"path":"/reference/ssd_q.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Quantile Function — ssd_qburrIII3","text":"","code":"ssd_qburrIII3(   p,   shape1 = 1,   shape2 = 1,   scale = 1,   lower.tail = TRUE,   log.p = FALSE )  ssd_qgamma(p, shape = 1, scale = 1, lower.tail = TRUE, log.p = FALSE)  ssd_qgompertz(p, location = 1, shape = 1, lower.tail = TRUE, log.p = FALSE)  ssd_qinvpareto(p, shape = 3, scale = 1, lower.tail = TRUE, log.p = FALSE)  ssd_qlgumbel(   p,   locationlog = 0,   scalelog = 1,   lower.tail = TRUE,   log.p = FALSE )  ssd_qllogis_llogis(   p,   locationlog1 = 0,   scalelog1 = 1,   locationlog2 = 1,   scalelog2 = 1,   pmix = 0.5,   lower.tail = TRUE,   log.p = FALSE )  ssd_qllogis(p, locationlog = 0, scalelog = 1, lower.tail = TRUE, log.p = FALSE)  ssd_qlnorm_lnorm(   p,   meanlog1 = 0,   sdlog1 = 1,   meanlog2 = 1,   sdlog2 = 1,   pmix = 0.5,   lower.tail = TRUE,   log.p = FALSE )  ssd_qlnorm(p, meanlog = 0, sdlog = 1, lower.tail = TRUE, log.p = FALSE)  ssd_qmulti(   p,   burrIII3.weight = 0,   burrIII3.shape1 = 1,   burrIII3.shape2 = 1,   burrIII3.scale = 1,   gamma.weight = 0,   gamma.shape = 1,   gamma.scale = 1,   gompertz.weight = 0,   gompertz.location = 1,   gompertz.shape = 1,   invpareto.weight = 0,   invpareto.shape = 3,   invpareto.scale = 1,   lgumbel.weight = 0,   lgumbel.locationlog = 0,   lgumbel.scalelog = 1,   llogis.weight = 0,   llogis.locationlog = 0,   llogis.scalelog = 1,   llogis_llogis.weight = 0,   llogis_llogis.locationlog1 = 0,   llogis_llogis.scalelog1 = 1,   llogis_llogis.locationlog2 = 1,   llogis_llogis.scalelog2 = 1,   llogis_llogis.pmix = 0.5,   lnorm.weight = 1,   lnorm.meanlog = 0,   lnorm.sdlog = 1,   lnorm_lnorm.weight = 0,   lnorm_lnorm.meanlog1 = 0,   lnorm_lnorm.sdlog1 = 1,   lnorm_lnorm.meanlog2 = 1,   lnorm_lnorm.sdlog2 = 1,   lnorm_lnorm.pmix = 0.5,   weibull.weight = 0,   weibull.shape = 1,   weibull.scale = 1,   lower.tail = TRUE,   log.p = FALSE )  ssd_qweibull(p, shape = 1, scale = 1, lower.tail = TRUE, log.p = FALSE)"},{"path":"/reference/ssd_q.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Quantile Function — ssd_qburrIII3","text":"p vector probabilities. shape1 shape1 parameter. shape2 shape2 parameter. scale scale parameter. lower.tail logical; TRUE (default), probabilities P[X <= x], otherwise, P[X > x]. log.p logical; TRUE, probabilities p given log(p). shape shape parameter. location location parameter. locationlog location log scale parameter. scalelog scale log scale parameter. locationlog1 locationlog1 parameter. scalelog1 scalelog1 parameter. locationlog2 locationlog2 parameter. scalelog2 scalelog2 parameter. pmix Proportion mixture parameter. meanlog1 mean log scale parameter. sdlog1 standard deviation log scale parameter. meanlog2 mean log scale parameter. sdlog2 standard deviation log scale parameter. meanlog mean log scale parameter. sdlog standard deviation log scale parameter. burrIII3.weight weight parameter Burr III distribution. burrIII3.shape1 shape1 parameter Burr III distribution. burrIII3.shape2 shape2 parameter Burr III distribution. burrIII3.scale scale parameter Burr III distribution. gamma.weight weight parameter gamma distribution. gamma.shape shape parameter gamma distribution. gamma.scale scale parameter gamma distribution. gompertz.weight weight parameter Gompertz distribution. gompertz.location location parameter Gompertz distribution. gompertz.shape shape parameter Gompertz distribution. invpareto.weight weight parameter inverse Pareto distribution. invpareto.shape shape parameter inverse Pareto distribution. invpareto.scale scale parameter inverse Pareto distribution. lgumbel.weight weight parameter log-Gumbel distribution. lgumbel.locationlog location parameter log-Gumbel distribution. lgumbel.scalelog scale parameter log-Gumbel distribution. llogis.weight weight parameter log-logistic distribution. llogis.locationlog location parameter log-logistic distribution. llogis.scalelog scale parameter log-logistic distribution. llogis_llogis.weight weight parameter log-logistic log-logistic mixture distribution. llogis_llogis.locationlog1 locationlog1 parameter log-logistic log-logistic mixture distribution. llogis_llogis.scalelog1 scalelog1 parameter log-logistic log-logistic mixture distribution. llogis_llogis.locationlog2 locationlog2 parameter log-logistic log-logistic mixture distribution. llogis_llogis.scalelog2 scalelog2 parameter log-logistic log-logistic mixture distribution. llogis_llogis.pmix pmix parameter log-logistic log-logistic mixture distribution. lnorm.weight weight parameter log-normal distribution. lnorm.meanlog meanlog parameter log-normal distribution. lnorm.sdlog sdlog parameter log-normal distribution. lnorm_lnorm.weight weight parameter log-normal log-normal mixture distribution. lnorm_lnorm.meanlog1 meanlog1 parameter log-normal log-normal mixture distribution. lnorm_lnorm.sdlog1 sdlog1 parameter log-normal log-normal mixture distribution. lnorm_lnorm.meanlog2 meanlog2 parameter log-normal log-normal mixture distribution. lnorm_lnorm.sdlog2 sdlog2 parameter log-normal log-normal mixture distribution. lnorm_lnorm.pmix pmix parameter log-normal log-normal mixture distribution. weibull.weight weight parameter Weibull distribution. weibull.shape shape parameter Weibull distribution. weibull.scale scale parameter Weibull distribution.","code":""},{"path":"/reference/ssd_q.html","id":"functions","dir":"Reference","previous_headings":"","what":"Functions","title":"Quantile Function — ssd_qburrIII3","text":"ssd_qburrIII3(): Quantile Function BurrIII Distribution ssd_qgamma(): Quantile Function Gamma Distribution ssd_qgompertz(): Quantile Function Gompertz Distribution ssd_qinvpareto(): Quantile Function Inverse Pareto Distribution ssd_qlgumbel(): Quantile Function Log-Gumbel Distribution ssd_qllogis_llogis(): Cumulative Distribution Function Log-Logistic/Log-Logistic Mixture Distribution ssd_qllogis(): Cumulative Distribution Function Log-Logistic Distribution ssd_qlnorm_lnorm(): Cumulative Distribution Function Log-Normal/Log-Normal Mixture Distribution ssd_qlnorm(): Cumulative Distribution Function Log-Normal Distribution ssd_qmulti(): Quantile Function Multiple Distributions ssd_qweibull(): Cumulative Distribution Function Weibull Distribution","code":""},{"path":[]},{"path":"/reference/ssd_q.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Quantile Function — ssd_qburrIII3","text":"","code":"ssd_qburrIII3(0.5) #> [1] 1  ssd_qgamma(0.5) #> [1] 0.6931472  ssd_qgompertz(0.5) #> [1] 0.526589  ssd_qinvpareto(0.5) #> [1] 0.7937005  ssd_qlgumbel(0.5) #> [1] 1.442695  ssd_qllogis_llogis(0.5) #> [1] 1.648721  ssd_qllogis(0.5) #> [1] 1  ssd_qlnorm_lnorm(0.5) #> [1] 1.648721  ssd_qlnorm(0.5) #> [1] 1  # multi ssd_qmulti(0.5) #> [1] 1  ssd_qweibull(0.5) #> [1] 0.6931472"},{"path":"/reference/ssd_r.html","id":null,"dir":"Reference","previous_headings":"","what":"Random Number Generation — ssd_rburrIII3","title":"Random Number Generation — ssd_rburrIII3","text":"Random Number Generation","code":""},{"path":"/reference/ssd_r.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Random Number Generation — ssd_rburrIII3","text":"","code":"ssd_rburrIII3(n, shape1 = 1, shape2 = 1, scale = 1, chk = TRUE)  ssd_rgamma(n, shape = 1, scale = 1, chk = TRUE)  ssd_rgompertz(n, location = 1, shape = 1, chk = TRUE)  ssd_rinvpareto(n, shape = 3, scale = 1, chk = TRUE)  ssd_rlgumbel(n, locationlog = 0, scalelog = 1, chk = TRUE)  ssd_rllogis_llogis(   n,   locationlog1 = 0,   scalelog1 = 1,   locationlog2 = 1,   scalelog2 = 1,   pmix = 0.5,   chk = TRUE )  ssd_rllogis(n, locationlog = 0, scalelog = 1, chk = TRUE)  ssd_rlnorm_lnorm(   n,   meanlog1 = 0,   sdlog1 = 1,   meanlog2 = 1,   sdlog2 = 1,   pmix = 0.5,   chk = TRUE )  ssd_rlnorm(n, meanlog = 0, sdlog = 1, chk = TRUE)  ssd_rmulti(   n,   burrIII3.weight = 0,   burrIII3.shape1 = 1,   burrIII3.shape2 = 1,   burrIII3.scale = 1,   gamma.weight = 0,   gamma.shape = 1,   gamma.scale = 1,   gompertz.weight = 0,   gompertz.location = 1,   gompertz.shape = 1,   invpareto.weight = 0,   invpareto.shape = 3,   invpareto.scale = 1,   lgumbel.weight = 0,   lgumbel.locationlog = 0,   lgumbel.scalelog = 1,   llogis.weight = 0,   llogis.locationlog = 0,   llogis.scalelog = 1,   llogis_llogis.weight = 0,   llogis_llogis.locationlog1 = 0,   llogis_llogis.scalelog1 = 1,   llogis_llogis.locationlog2 = 1,   llogis_llogis.scalelog2 = 1,   llogis_llogis.pmix = 0.5,   lnorm.weight = 1,   lnorm.meanlog = 0,   lnorm.sdlog = 1,   lnorm_lnorm.weight = 0,   lnorm_lnorm.meanlog1 = 0,   lnorm_lnorm.sdlog1 = 1,   lnorm_lnorm.meanlog2 = 1,   lnorm_lnorm.sdlog2 = 1,   lnorm_lnorm.pmix = 0.5,   weibull.weight = 0,   weibull.shape = 1,   weibull.scale = 1,   chk = TRUE )  ssd_rweibull(n, shape = 1, scale = 1, chk = TRUE)"},{"path":"/reference/ssd_r.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Random Number Generation — ssd_rburrIII3","text":"n positive number observations. shape1 shape1 parameter. shape2 shape2 parameter. scale scale parameter. chk flag specifying whether check arguments. shape shape parameter. location location parameter. locationlog location log scale parameter. scalelog scale log scale parameter. locationlog1 locationlog1 parameter. scalelog1 scalelog1 parameter. locationlog2 locationlog2 parameter. scalelog2 scalelog2 parameter. pmix Proportion mixture parameter. meanlog1 mean log scale parameter. sdlog1 standard deviation log scale parameter. meanlog2 mean log scale parameter. sdlog2 standard deviation log scale parameter. meanlog mean log scale parameter. sdlog standard deviation log scale parameter. burrIII3.weight weight parameter Burr III distribution. burrIII3.shape1 shape1 parameter Burr III distribution. burrIII3.shape2 shape2 parameter Burr III distribution. burrIII3.scale scale parameter Burr III distribution. gamma.weight weight parameter gamma distribution. gamma.shape shape parameter gamma distribution. gamma.scale scale parameter gamma distribution. gompertz.weight weight parameter Gompertz distribution. gompertz.location location parameter Gompertz distribution. gompertz.shape shape parameter Gompertz distribution. invpareto.weight weight parameter inverse Pareto distribution. invpareto.shape shape parameter inverse Pareto distribution. invpareto.scale scale parameter inverse Pareto distribution. lgumbel.weight weight parameter log-Gumbel distribution. lgumbel.locationlog location parameter log-Gumbel distribution. lgumbel.scalelog scale parameter log-Gumbel distribution. llogis.weight weight parameter log-logistic distribution. llogis.locationlog location parameter log-logistic distribution. llogis.scalelog scale parameter log-logistic distribution. llogis_llogis.weight weight parameter log-logistic log-logistic mixture distribution. llogis_llogis.locationlog1 locationlog1 parameter log-logistic log-logistic mixture distribution. llogis_llogis.scalelog1 scalelog1 parameter log-logistic log-logistic mixture distribution. llogis_llogis.locationlog2 locationlog2 parameter log-logistic log-logistic mixture distribution. llogis_llogis.scalelog2 scalelog2 parameter log-logistic log-logistic mixture distribution. llogis_llogis.pmix pmix parameter log-logistic log-logistic mixture distribution. lnorm.weight weight parameter log-normal distribution. lnorm.meanlog meanlog parameter log-normal distribution. lnorm.sdlog sdlog parameter log-normal distribution. lnorm_lnorm.weight weight parameter log-normal log-normal mixture distribution. lnorm_lnorm.meanlog1 meanlog1 parameter log-normal log-normal mixture distribution. lnorm_lnorm.sdlog1 sdlog1 parameter log-normal log-normal mixture distribution. lnorm_lnorm.meanlog2 meanlog2 parameter log-normal log-normal mixture distribution. lnorm_lnorm.sdlog2 sdlog2 parameter log-normal log-normal mixture distribution. lnorm_lnorm.pmix pmix parameter log-normal log-normal mixture distribution. weibull.weight weight parameter Weibull distribution. weibull.shape shape parameter Weibull distribution. weibull.scale scale parameter Weibull distribution.","code":""},{"path":"/reference/ssd_r.html","id":"functions","dir":"Reference","previous_headings":"","what":"Functions","title":"Random Number Generation — ssd_rburrIII3","text":"ssd_rburrIII3(): Random Generation BurrIII Distribution ssd_rgamma(): Random Generation Gamma Distribution ssd_rgompertz(): Random Generation Gompertz Distribution ssd_rinvpareto(): Random Generation Inverse Pareto Distribution ssd_rlgumbel(): Random Generation log-Gumbel Distribution ssd_rllogis_llogis(): Random Generation Log-Logistic/Log-Logistic Mixture Distribution ssd_rllogis(): Random Generation Log-Logistic Distribution ssd_rlnorm_lnorm(): Random Generation Log-Normal/Log-Normal Mixture Distribution ssd_rlnorm(): Random Generation Log-Normal Distribution ssd_rmulti(): Random Generation Multiple Distributions ssd_rweibull(): Random Generation Weibull Distribution","code":""},{"path":[]},{"path":"/reference/ssd_r.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Random Number Generation — ssd_rburrIII3","text":"","code":"set.seed(50) hist(ssd_rburrIII3(10000), breaks = 1000)   set.seed(50) hist(ssd_rgamma(10000), breaks = 1000)   set.seed(50) hist(ssd_rgompertz(10000), breaks = 1000)   set.seed(50) hist(ssd_rinvpareto(10000), breaks = 1000)   set.seed(50) hist(ssd_rlgumbel(10000), breaks = 1000)   set.seed(50) hist(ssd_rllogis_llogis(10000), breaks = 1000)   set.seed(50) hist(ssd_rllogis(10000), breaks = 1000)   set.seed(50) hist(ssd_rlnorm_lnorm(10000), breaks = 1000)   set.seed(50) hist(ssd_rlnorm(10000), breaks = 1000)   # multi set.seed(50) hist(ssd_rmulti(1000), breaks = 100)   fits <- ssd_fit_dists(ssddata::ccme_boron) do.call(\"ssd_rmulti\", c(n = 10, estimates(fits))) #>  [1] 17.304624 16.362765 10.053949 16.579923  9.037985 13.098314 10.492514 #>  [8] 24.010139 14.919955 25.951924  set.seed(50) hist(ssd_rweibull(10000), breaks = 1000)"},{"path":"/reference/ssd_sort_data.html","id":null,"dir":"Reference","previous_headings":"","what":"Sort Species Sensitivity Data — ssd_sort_data","title":"Sort Species Sensitivity Data — ssd_sort_data","text":"Sorts Species Sensitivity Data empirical cumulative density (ECD).","code":""},{"path":"/reference/ssd_sort_data.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Sort Species Sensitivity Data — ssd_sort_data","text":"","code":"ssd_sort_data(data, left = \"Conc\", right = left)"},{"path":"/reference/ssd_sort_data.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Sort Species Sensitivity Data — ssd_sort_data","text":"data data frame. left string column data concentrations. right string column data right concentration values.","code":""},{"path":"/reference/ssd_sort_data.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Sort Species Sensitivity Data — ssd_sort_data","text":"data sorted empirical cumulative density.","code":""},{"path":"/reference/ssd_sort_data.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Sort Species Sensitivity Data — ssd_sort_data","text":"Useful sorting data using geom_ssdpoint() geom_ssdsegment() construct plots censored data stat = identity ensure order various components.","code":""},{"path":[]},{"path":"/reference/ssd_sort_data.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Sort Species Sensitivity Data — ssd_sort_data","text":"","code":"ssd_sort_data(ssddata::ccme_boron) #> # A tibble: 28 × 5 #>    Chemical Species                Conc Group        Units #>    <chr>    <chr>                 <dbl> <fct>        <chr> #>  1 Boron    Elodea canadensis       1   Plant        mg/L  #>  2 Boron    Spirodella polyrrhiza   1.8 Plant        mg/L  #>  3 Boron    Chlorella pyrenoidosa   2   Plant        mg/L  #>  4 Boron    Oncorhynchus mykiss     2.1 Fish         mg/L  #>  5 Boron    Ictalurus punctatus     2.4 Fish         mg/L  #>  6 Boron    Phragmites australis    4   Plant        mg/L  #>  7 Boron    Micropterus salmoides   4.1 Fish         mg/L  #>  8 Boron    Chlorella vulgaris      5.2 Plant        mg/L  #>  9 Boron    Daphnia magna           6   Invertebrate mg/L  #> 10 Boron    Brachydanio rerio      10   Fish         mg/L  #> # ℹ 18 more rows"},{"path":"/reference/ssd_wqg_bc.html","id":null,"dir":"Reference","previous_headings":"","what":"Water Quality Guideline for British Columbia — ssd_wqg_bc","title":"Water Quality Guideline for British Columbia — ssd_wqg_bc","text":"Calculates 5% Hazard Concentration British Columbia rescaling data based log-logistic, log-normal gamma distributions using parametric bootstrap AICc model averaging.","code":""},{"path":"/reference/ssd_wqg_bc.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Water Quality Guideline for British Columbia — ssd_wqg_bc","text":"","code":"ssd_wqg_bc(data, left = \"Conc\")"},{"path":"/reference/ssd_wqg_bc.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Water Quality Guideline for British Columbia — ssd_wqg_bc","text":"data data frame. left string column data concentrations.","code":""},{"path":"/reference/ssd_wqg_bc.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Water Quality Guideline for British Columbia — ssd_wqg_bc","text":"tibble 5% hazard concentration 95% confidence intervals.","code":""},{"path":"/reference/ssd_wqg_bc.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Water Quality Guideline for British Columbia — ssd_wqg_bc","text":"Returns tibble model averaged 5% hazard concentration standard errors, 95% lower upper confidence limits number bootstrap samples well proportion bootstrap samples successfully returned likelihood (convergence bootstrap sample required).","code":""},{"path":[]},{"path":"/reference/ssd_wqg_bc.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Water Quality Guideline for British Columbia — ssd_wqg_bc","text":"","code":"if (FALSE) { # \\dontrun{ ssd_wqg_bc(ssddata::ccme_boron) } # }"},{"path":"/reference/ssd_wqg_burrlioz.html","id":null,"dir":"Reference","previous_headings":"","what":"Water Quality Guideline for Burrlioz — ssd_wqg_burrlioz","title":"Water Quality Guideline for Burrlioz — ssd_wqg_burrlioz","text":"Calculates 5% Hazard Concentration (rescaling data) using approach Burrlioz based 10,000 non-parametric bootstrap samples.","code":""},{"path":"/reference/ssd_wqg_burrlioz.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Water Quality Guideline for Burrlioz — ssd_wqg_burrlioz","text":"","code":"ssd_wqg_burrlioz(data, left = \"Conc\")"},{"path":"/reference/ssd_wqg_burrlioz.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Water Quality Guideline for Burrlioz — ssd_wqg_burrlioz","text":"data data frame. left string column data concentrations.","code":""},{"path":"/reference/ssd_wqg_burrlioz.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Water Quality Guideline for Burrlioz — ssd_wqg_burrlioz","text":"tibble 5% hazard concentration 95% confidence intervals.","code":""},{"path":"/reference/ssd_wqg_burrlioz.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Water Quality Guideline for Burrlioz — ssd_wqg_burrlioz","text":"Returns tibble model averaged 5% hazard concentration standard errors, 95% lower upper confidence limits number bootstrap samples well proportion bootstrap samples successfully returned likelihood (convergence bootstrap sample required).","code":""},{"path":[]},{"path":"/reference/ssd_wqg_burrlioz.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Water Quality Guideline for Burrlioz — ssd_wqg_burrlioz","text":"","code":"if (FALSE) { # \\dontrun{ ssd_wqg_burrlioz(ssddata::ccme_boron) } # }"},{"path":"/reference/ssdtools-ggproto.html","id":null,"dir":"Reference","previous_headings":"","what":"ggproto Classes for Plotting Species Sensitivity Data and Distributions — ssdtools-ggproto","title":"ggproto Classes for Plotting Species Sensitivity Data and Distributions — ssdtools-ggproto","text":"ggproto Classes Plotting Species Sensitivity Data Distributions","code":""},{"path":"/reference/ssdtools-ggproto.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"ggproto Classes for Plotting Species Sensitivity Data and Distributions — ssdtools-ggproto","text":"","code":"StatSsdpoint  StatSsdsegment  GeomSsdpoint  GeomSsdsegment  GeomHcintersect  GeomXribbon"},{"path":"/reference/ssdtools-ggproto.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"ggproto Classes for Plotting Species Sensitivity Data and Distributions — ssdtools-ggproto","text":"object class StatSsdpoint (inherits Stat, ggproto, gg) length 4. object class StatSsdsegment (inherits Stat, ggproto, gg) length 4. object class GeomSsdpoint (inherits GeomPoint, Geom, ggproto, gg) length 1. object class GeomSsdsegment (inherits GeomSegment, Geom, ggproto, gg) length 1. object class GeomHcintersect (inherits Geom, ggproto, gg) length 5. object class GeomXribbon (inherits Geom, ggproto, gg) length 6.","code":""},{"path":[]},{"path":"/reference/ssdtools-package.html","id":null,"dir":"Reference","previous_headings":"","what":"ssdtools: Species Sensitivity Distributions — ssdtools-package","title":"ssdtools: Species Sensitivity Distributions — ssdtools-package","text":"Species sensitivity distributions cumulative probability distributions fitted toxicity concentrations different species described Posthuma et al.(2001) <isbn:9781566705783>. ssdtools package uses Maximum Likelihood fit distributions gamma, log-logistic, log-normal log-normal log-normal mixture. Multiple distributions can averaged using Akaike Information Criteria. Confidence intervals hazard concentrations proportions produced parametric bootstrapping.","code":""},{"path":[]},{"path":"/reference/ssdtools-package.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"ssdtools: Species Sensitivity Distributions — ssdtools-package","text":"Maintainer: Joe Thorley joe@poissonconsulting.ca (ORCID) Authors: Rebecca Fisher R.Fisher@aims.gov.au David Fox david.fox@environmetrics.net.au Carl Schwarz contributors: Angeline Tillmanns [contributor] Seb Dalgarno seb@poissonconsulting.ca (ORCID) [contributor] Kathleen McTavish [contributor] Heather Thompson [contributor] Doug Spry [contributor] Rick van Dam [contributor] Graham Batley [contributor] Tony Bigwood [contributor] Ali Azizishirazi [contributor] Nadine Hussein nadine@poissonconsulting.ca (ORCID) [contributor] Sarah Lyons sarah@poissonconsulting.ca (ORCID) [contributor] Stephanie Hazlitt [contributor] Hadley Wickham [contributor] Sergio Ibarra Espinosa [contributor] Andy Teucher [contributor] Emilie Doussantousse [contributor] Nan-Hung Hsieh [contributor] Province British Columbia [funder, copyright holder] Environment Climate Change Canada [funder, copyright holder] Australian Government Department Climate Change, Energy, Environment Water [funder, copyright holder]","code":""},{"path":"/reference/stat_ssd.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot Species Sensitivity Data  — stat_ssd","title":"Plot Species Sensitivity Data  — stat_ssd","text":"Uses empirical cumulative density/distribution visualize species sensitivity data.","code":""},{"path":"/reference/stat_ssd.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot Species Sensitivity Data  — stat_ssd","text":"","code":"stat_ssd(   mapping = NULL,   data = NULL,   geom = \"point\",   position = \"identity\",   ...,   na.rm = FALSE,   show.legend = NA,   inherit.aes = TRUE )"},{"path":"/reference/stat_ssd.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot Species Sensitivity Data  — stat_ssd","text":"mapping Set aesthetic mappings created aes(). specified inherit.aes = TRUE (default), combined default mapping top level plot. must supply mapping plot mapping. data data displayed layer. three options: NULL, default, data inherited plot data specified call ggplot(). data.frame, object, override plot data. objects fortified produce data frame. See fortify() variables created. function called single argument, plot data. return value must data.frame, used layer data. function can created formula (e.g. ~ head(.x, 10)). geom geometric object use display data layer. using stat_*() function construct layer, geom argument can used override default coupling stats geoms. geom argument accepts following: Geom ggproto subclass, example GeomPoint. string naming geom. give geom string, strip function name geom_ prefix. example, use geom_point(), give geom \"point\". information ways specify geom, see layer geom documentation. position position adjustment use data layer. can used various ways, including prevent overplotting improving display. position argument accepts following: result calling position function, position_jitter(). method allows passing extra arguments position. string naming position adjustment. give position string, strip function name position_ prefix. example, use position_jitter(), give position \"jitter\". information ways specify position, see layer position documentation. ... arguments passed layer()'s params argument. arguments broadly fall one 4 categories . Notably, arguments position argument, aesthetics required can passed .... Unknown arguments part 4 categories ignored. Static aesthetics mapped scale, fixed value apply layer whole. example, colour = \"red\" linewidth = 3. geom's documentation Aesthetics section lists available options. 'required' aesthetics passed params. Please note passing unmapped aesthetics vectors technically possible, order required length guaranteed parallel input data. constructing layer using stat_*() function, ... argument can used pass parameters geom part layer. example stat_density(geom = \"area\", outline.type = \"\"). geom's documentation lists parameters can accept. Inversely, constructing layer using geom_*() function, ... argument can used pass parameters stat part layer. example geom_area(stat = \"density\", adjust = 0.5). stat's documentation lists parameters can accept. key_glyph argument layer() may also passed .... can one functions described key glyphs, change display layer legend. na.rm FALSE, default, missing values removed warning. TRUE, missing values silently removed. show.legend logical. layer included legends? NA, default, includes aesthetics mapped. FALSE never includes, TRUE always includes. can also named logical vector finely select aesthetics display. inherit.aes FALSE, overrides default aesthetics, rather combining . useful helper functions define data aesthetics inherit behaviour default plot specification, e.g. borders().","code":""},{"path":[]},{"path":"/reference/stat_ssd.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot Species Sensitivity Data  — stat_ssd","text":"","code":"if (FALSE) { # \\dontrun{ ggplot2::ggplot(ssddata::ccme_boron, ggplot2::aes(x = Conc)) +   stat_ssd() } # }"},{"path":"/reference/subset.fitdists.html","id":null,"dir":"Reference","previous_headings":"","what":"Subset fitdists Object — subset.fitdists","title":"Subset fitdists Object — subset.fitdists","text":"Select subset distributions fitdists object. Akaike Information-theoretic Criterion differences calculated selecting distributions named select.","code":""},{"path":"/reference/subset.fitdists.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Subset fitdists Object — subset.fitdists","text":"","code":"# S3 method for class 'fitdists' subset(x, select = names(x), delta = Inf, ...)"},{"path":"/reference/subset.fitdists.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Subset fitdists Object — subset.fitdists","text":"x object. select character vector distributions select. delta non-negative number specifying maximum absolute AIC difference cutoff. Distributions absolute AIC difference greater delta excluded calculations. ... Unused.","code":""},{"path":"/reference/subset.fitdists.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Subset fitdists Object — subset.fitdists","text":"","code":"fits <- ssd_fit_dists(ssddata::ccme_boron) subset(fits, c(\"gamma\", \"lnorm\")) #> Distribution 'gamma' #>   scale 25.1268 #>   shape 0.950179 #>  #> Distribution 'lnorm' #>   meanlog 2.56165 #>   sdlog 1.24154 #>  #> Parameters estimated from 28 rows of data."},{"path":"/reference/tidy.fitdists.html","id":null,"dir":"Reference","previous_headings":"","what":"Turn a fitdists Object into a Tibble — tidy.fitdists","title":"Turn a fitdists Object into a Tibble — tidy.fitdists","text":"Turns fitdists object tidy tibble estimates (est) standard errors (se) terms (term) distributions (dist).","code":""},{"path":"/reference/tidy.fitdists.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Turn a fitdists Object into a Tibble — tidy.fitdists","text":"","code":"# S3 method for class 'fitdists' tidy(x, all = FALSE, ...)"},{"path":"/reference/tidy.fitdists.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Turn a fitdists Object into a Tibble — tidy.fitdists","text":"x object. flag specifying whether also return transformed parameters. ... Unused.","code":""},{"path":"/reference/tidy.fitdists.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Turn a fitdists Object into a Tibble — tidy.fitdists","text":"tidy tibble estimates standard errors.","code":""},{"path":[]},{"path":"/reference/tidy.fitdists.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Turn a fitdists Object into a Tibble — tidy.fitdists","text":"","code":"fits <- ssd_fit_dists(ssddata::ccme_boron) tidy(fits) #> # A tibble: 15 × 4 #>    dist        term           est    se #>    <chr>       <chr>        <dbl> <dbl> #>  1 gamma       scale       25.1   7.64  #>  2 gamma       shape        0.950 0.223 #>  3 lgumbel     locationlog  1.92  0.247 #>  4 lgumbel     scalelog     1.23  0.173 #>  5 llogis      locationlog  2.63  0.248 #>  6 llogis      scalelog     0.740 0.114 #>  7 lnorm       meanlog      2.56  0.235 #>  8 lnorm       sdlog        1.24  0.166 #>  9 lnorm_lnorm meanlog1     0.949 0.318 #> 10 lnorm_lnorm meanlog2     3.20  0.253 #> 11 lnorm_lnorm pmix         0.284 0.123 #> 12 lnorm_lnorm sdlog1       0.554 0.212 #> 13 lnorm_lnorm sdlog2       0.769 0.194 #> 14 weibull     scale       23.5   4.86  #> 15 weibull     shape        0.966 0.145 tidy(fits, all = TRUE) #> # A tibble: 24 × 4 #>    dist    term             est    se #>    <chr>   <chr>          <dbl> <dbl> #>  1 gamma   log_scale     3.22   0.304 #>  2 gamma   log_shape    -0.0511 0.234 #>  3 gamma   scale        25.1    7.64  #>  4 gamma   shape         0.950  0.223 #>  5 lgumbel locationlog   1.92   0.247 #>  6 lgumbel log_scalelog  0.209  0.140 #>  7 lgumbel scalelog      1.23   0.173 #>  8 llogis  locationlog   2.63   0.248 #>  9 llogis  log_scalelog -0.301  0.154 #> 10 llogis  scalelog      0.740  0.114 #> # ℹ 14 more rows"},{"path":[]},{"path":"/news/index.html","id":"additions-1-0-6-9018","dir":"Changelog","previous_headings":"","what":"Additions","title":"ssdtools 1.0.6.9018","text":"multi_est = TRUE argument calculate model averaged estimates treating distributions constituting single mixture distribution. method_ci = \"weighted_samples\" specify whether use \"weighted_samples\", \"weighted_arithmetic\", \"multi_free\" \"multi_fixed\" methods generate confidence intervals. samples argument include bootstrap samples list numeric vector(s). save_to argument specify directory save bootstrap datasets csv files parameter estimates rds files. files named data_000000001_xx.csv estimates_000000001_xx.rds etc xx distribution. parent data set estimates named boot_000000000_xx.csv estimates_000000000_xx.csv. Added ssd_hp_bcanz() ssd_hp.fitburrlioz() function get hazard proportions. Added ssd_label_comma() x-axis labels. Added trans = \"log10\" add_x = 0 arguments ssd_plot() ssd_plot_data(). Added ssd_pmulti(), ssd_qmulti() ssd_rmulti() combined mixture distributions. Added ssd_exx() functions get default parameter estimates distributions. Added ssd_censor_data() censor data. Added David Fox Rebecca Fisher co-authors. Added npars argument ssd_dists_bcanz(). Added big.mark = \",\" x-axis labels suffix = \"%\" y-axis labels plotting functions.","code":""},{"path":"/news/index.html","id":"modifications-1-0-6-9018","dir":"Changelog","previous_headings":"","what":"Modifications","title":"ssdtools 1.0.6.9018","text":"non-parametric bootstrap censored data. Changed at_boundary_ok = TRUE ensure lnorm_lnorm mixture distribution included. Changed computable = TRUE required bootstrapping. Changed min_pboot = 0.95 functions. Changed min_pmix = 0 min_pmix = ssd_min_pmix(nrow(data)) default give set min_pmix 0.1 3/nrow(data) greater improve convergence mixture models. estimates.fitdists() now includes weights returned parameters well all_estimates = FALSE argument allow parameter values implemented distributions included. ssd_fit_bcanz(), ssd_wqg_bc() ssd_wqg_burrlioz() longer rescale data default. rescale = TRUE now divides geometric mean minimum maximum positive finite values opposed dividing geometric mean maximum finite value. Replaced column percentage 0 100 proportion 0 1 output ssd_hc() Changed delta = 7 delta = 9.21 weight included models 0.01. seeds now allocated bootstrap samples opposed distributions (results speed gain cores number distributions). Exported dists = ssd_dists_bcanz() argument ssd_fit_bcanz() allow packages modify. Check ... unused appropriate. ssd_plot_cdf() now includes average distributions average = NA (@poissonconsulting, #351). switched logit_pmix pmix mixture distributions lnorm longer initializes optimization maximum likelihood estimates Offset starting values gompertz distribution.","code":""},{"path":"/news/index.html","id":"fixes-1-0-6-9018","dir":"Changelog","previous_headings":"","what":"Fixes","title":"ssdtools 1.0.6.9018","text":"ssd_hc() ssd_hp() now include parametric column. ssd_hp() now includes wt column","code":""},{"path":"/news/index.html","id":"deprecation-1-0-6-9018","dir":"Changelog","previous_headings":"","what":"Deprecation","title":"ssdtools 1.0.6.9018","text":"Soft-deprecated comma_signif(). Soft-deprecated argument percent = 5 proportion = 0.05 ssd_hc() predict(). is_censored(), plot.fitdists(), ssd_plot_cf() geom_ssd(), stat_ssd(), xgompertz(), xlgumbel, ssd_hc_burrlioz() now defunct. Deprecated ssd_wqg_bc() ssd_wqg_burrlioz(). (#75). Deprecated ssd_fit_bcanz() ssd_hp_bcanz(). Removed ccme_data ccme_boron data set. Removed pearson1000 data set (now ssdtests data).","code":""},{"path":"/news/index.html","id":"ssdtools-106","dir":"Changelog","previous_headings":"","what":"ssdtools 1.0.6","title":"ssdtools 1.0.6","text":"CRAN release: 2023-09-07 Fix CRAN ATLAS error","code":""},{"path":"/news/index.html","id":"ssdtools-105","dir":"Changelog","previous_headings":"","what":"ssdtools 1.0.5","title":"ssdtools 1.0.5","text":"CRAN release: 2023-08-29 Stopped predict hc/hp test errors linux.","code":""},{"path":"/news/index.html","id":"ssdtools-104","dir":"Changelog","previous_headings":"","what":"ssdtools 1.0.4","title":"ssdtools 1.0.4","text":"CRAN release: 2023-05-17 Added contributors. Now tests table values 6 significant figures. Fixed bug preserving NaN (returning NA_real_) cumulative distribution quantile functions.","code":""},{"path":"/news/index.html","id":"ssdtools-103","dir":"Changelog","previous_headings":"","what":"ssdtools 1.0.3","title":"ssdtools 1.0.3","text":"CRAN release: 2023-04-12 Replaced size = 0.5 linewidth = 0.5 geom_hcintersect() geom_xribbon(). Replaced aes_string() aes() examples (internally). Removed use tidyverse package. Now tests values 12 significant digits. Fixed description ssd_hp() percent affected rather percent protected.","code":""},{"path":"/news/index.html","id":"ssdtools-102","dir":"Changelog","previous_headings":"","what":"ssdtools 1.0.2","title":"ssdtools 1.0.2","text":"CRAN release: 2022-05-14 Fixed bug producing estimates 0 lower HCx values log-normal mixture model rescaled data spanning many orders magnitude.","code":""},{"path":"/news/index.html","id":"ssdtools-101","dir":"Changelog","previous_headings":"","what":"ssdtools 1.0.1","title":"ssdtools 1.0.1","text":"CRAN release: 2022-04-10 Added delta = 7 argument ssd_plot_cdf().","code":""},{"path":"/news/index.html","id":"ssdtools-100","dir":"Changelog","previous_headings":"","what":"ssdtools 1.0.0","title":"ssdtools 1.0.0","text":"CRAN release: 2022-04-01 ssdtools version 1.0.0 first major release ssdtools important improvements breaking changes.","code":""},{"path":"/news/index.html","id":"fitting-1-0-0","dir":"Changelog","previous_headings":"","what":"Fitting","title":"ssdtools 1.0.0","text":"important change functionality ssd_fit_dists() switch model fitting using fitdistrplus TMB resulted improved handling censored data. Although hoped model fitting faster currently case. result change fitdists objects returned ssd_fit_dists() previous versions ssdtools compatible major release regenerated.","code":""},{"path":"/news/index.html","id":"bcanz-1-0-0","dir":"Changelog","previous_headings":"","what":"BCANZ","title":"ssdtools 1.0.0","text":"result international collaboration British Columbia Canada Australia New Zealand selected set recommended distributions model averaging settings generating final guidelines. distributions {r} > ssd_dists_bcanz() [1] \"gamma\"       \"lgumbel\"     \"llogis\"      \"lnorm\"       \"lnorm_lnorm\" \"weibull\" ssd_fit_bcanz() ssd_hc_bcanz() functions added package facilitate fitting distributions estimation hazard concentrations using recommended settings.","code":""},{"path":"/news/index.html","id":"convergence-1-0-0","dir":"Changelog","previous_headings":"BCANZ","what":"Convergence","title":"ssdtools 1.0.0","text":"previous version ssdtools distribution considered converged following condition met stats::optim() returns code 0 (indicating successful completion). new version additional two conditions must also met Bounded parameters boundary (condition can turned setting at_boundary_ok = TRUE user can specify different boundary values - see ) Standard errors computable parameter values (condition can turned setting computable = FALSE)","code":""},{"path":"/news/index.html","id":"censored-data-1-0-0","dir":"Changelog","previous_headings":"BCANZ","what":"Censored Data","title":"ssdtools 1.0.0","text":"Censoring can now specified providing data set one rows finite value left column smaller finite value right column (interval censored) zero missing value left column finite value right column (left censored) currently possible fit distributions data sets infinite missing value right column finite value left column (right censored) Rows zero missing value left column infinite missing value right column (fully censored) uninformative result error.","code":""},{"path":"/news/index.html","id":"akaike-weights-1-0-0","dir":"Changelog","previous_headings":"BCANZ > Censored Data","what":"Akaike Weights","title":"ssdtools 1.0.0","text":"uncensored data, Akaike Weights calculated using AICc (corrects small sample size). case censored data, Akaike Weights calculated using AIC (sample size estimated) distributions number parameters (ensure weights valid).","code":""},{"path":"/news/index.html","id":"weighted-data-1-0-0","dir":"Changelog","previous_headings":"BCANZ","what":"Weighted Data","title":"ssdtools 1.0.0","text":"Weighting must positive values <= 1000.","code":""},{"path":"/news/index.html","id":"distributions-1-0-0","dir":"Changelog","previous_headings":"BCANZ","what":"Distributions","title":"ssdtools 1.0.0","text":"Previously density functions available distributions exported R functions make accessible fitdistrplus. meant ssdtools loaded fit distributions. density functions now defined C++ TMB templates longer exported. distribution, quantile random generation functions generally useful still exported now prefixed ssd_ prevent clashes existing functions packages. Thus example plnorm(), qlnorm() rlnorm() renamed ssd_plnorm(), ssd_qlnorm() ssd_rlnorm(). following distributions added (case burrIII3 readded) new version burrIII3 - burrIII three parameter distribution invpareto - inverse pareto (bias correction scale order statistic) lnorm_lnorm log-normal/log-normal mixture distribution llogis_llogis log-logistic/log-logistic mixture distribution following arguments added ssd_fit_dists() rescale (default FALSE) specify whether rescale concentrations values dividing largest (finite) value. alters parameter estimates, can help distributions converge, estimates hazard concentrations/protections. reweight (default FALSE) specify whether reweight data points dividing largest weight. at_boundary_ok (default FALSE) specifying whether distribution one parameters boundary converged. min_pmix (default 0) specify boundary minimum proportion mixture distribution. range_shape1 (default c(0.05, 20)) specify lower upper boundaries shape1 parameter burrIII3 distribution. range_shape2 (default range_shape2) specify lower upper boundaries shape2 parameter burrIII3 distribution. control (default empty list) pass list control parameters stats::optim(). also worth noting default value computable argument switched FALSE TRUE enforce stricter requirements convergence (see ).","code":""},{"path":"/news/index.html","id":"subsets-of-distributions-1-0-0","dir":"Changelog","previous_headings":"BCANZ > Distributions","what":"Subsets of Distributions","title":"ssdtools 1.0.0","text":"following added handle multiple distributions ssd_dists() specify subsets available distributions. delta argument (default 7) subset() generic keep distributions within specified AIC(c) difference best supported distribution.","code":""},{"path":"/news/index.html","id":"burrlioz-1-0-0","dir":"Changelog","previous_headings":"BCANZ","what":"Burrlioz","title":"ssdtools 1.0.0","text":"function ssd_fit_burrlioz() added approximate behaviour Burrlioz.","code":""},{"path":"/news/index.html","id":"hazard-concentrationprotection-estimation-1-0-0","dir":"Changelog","previous_headings":"","what":"Hazard Concentration/Protection Estimation","title":"ssdtools 1.0.0","text":"Hazard concentration estimation performed ssd_hc() (wrapped predict()) hazard protection estimation ssd_hp(). default confidence intervals estimated parametric bootstrapping. reduce time required bootstrapping, parallelization implemented using future package. following arguments added ssd_hc() ssd_hp() delta (default 7) keep distributions within specified AIC difference best supported distribution. min_pboot (default 0.90) specify minimum proportion bootstrap samples must successfully fit. parametric (default TRUE) allow non-parametric bootstrapping. control (default empty list) pass list control parameters stats::optim(). following columns added output data frame wt specify Akaike weight. method indicate whether parametric non-parametric bootstrap used. nboot indicate many bootstrap samples used. pboot indicate proportion bootstrap samples fitted. also worth noting dist column moved last first position output data frame.","code":""},{"path":"/news/index.html","id":"censored-data-1-0-0-1","dir":"Changelog","previous_headings":"Hazard Concentration/Protection Estimation","what":"Censored Data","title":"ssdtools 1.0.0","text":"Confidence intervals estimated interval censored data.","code":""},{"path":"/news/index.html","id":"weighted-data-1-0-0-1","dir":"Changelog","previous_headings":"Hazard Concentration/Protection Estimation","what":"Weighted Data","title":"ssdtools 1.0.0","text":"Confidence intervals estimated unequally weighted data.","code":""},{"path":"/news/index.html","id":"goodness-of-fit-1-0-0","dir":"Changelog","previous_headings":"","what":"Goodness of Fit","title":"ssdtools 1.0.0","text":"pvalue argument (default FALSE) added ssd_gof() specify whether return p-values test statistics opposed test statistics .","code":""},{"path":"/news/index.html","id":"plotting-1-0-0","dir":"Changelog","previous_headings":"","what":"Plotting","title":"ssdtools 1.0.0","text":"also substantive changes plotting functionality. Added following functions ssd_plot_data() plot censored uncensored data calling geom_ssdpoint() left right column (alpha parameter values adjusted accordingly) geom_ssdsegment() allow plotting range censored data points using segments. scale_colour_ssd() (scale_color_ssd()) provide 8 color-blind scale. Made following changes ssd_plot() added bounds (default c(left = 1, right = 1)) argument specify many orders magnitude extend plot beyond minimum maximum (non-missing) values. added linetype (default NULL) argument specify line type. added linecolor (default NULL) argument specify line color. changed default value ylab “Percent Species Affected” “Species Affected”. Renamed - GeomSsd GeomSsdpoint. - StatSsd StatSsdpoint Soft-deprecated - geom_ssd() geom_ssdpoint(). - stat_ssd(). - ssd_plot_cf() fitdistrplus::descdist().","code":""},{"path":[]},{"path":"/news/index.html","id":"ssddata-1-0-0","dir":"Changelog","previous_headings":"Data","what":"ssddata","title":"ssdtools 1.0.0","text":"dataset boron_data renamed ccme_boron moved ssddata R package together CCME datasets. ssddata package provides suite datasets testing comparing species sensitivity distribution fitting software.","code":""},{"path":"/news/index.html","id":"data-handling-functions-1-0-0","dir":"Changelog","previous_headings":"Data","what":"Data Handling Functions","title":"ssdtools 1.0.0","text":"Added ssd_data() return original data fitdists object. ssd_ecd_data() get empirical cumulative density data. ssd_sort_data() sort data empirical cumulative density.","code":""},{"path":"/news/index.html","id":"miscellaneous-1-0-0","dir":"Changelog","previous_headings":"","what":"Miscellaneous","title":"ssdtools 1.0.0","text":"npars() now orders distribution name. functions arguments soft-deprecated prior v0.3.0 now warn unconditionally.","code":""},{"path":"/news/index.html","id":"generics-1-0-0","dir":"Changelog","previous_headings":"Miscellaneous","what":"Generics","title":"ssdtools 1.0.0","text":"Implemented following generics fitdists objects glance() get model likelihoods, information-theoretic criteria etc. augment() return original data set. logLik() return log-likelihood. summary.fitdists() summarize.","code":""},{"path":"/news/index.html","id":"ssdtools-0379000","dir":"Changelog","previous_headings":"","what":"ssdtools 0.3.7.9000","title":"ssdtools 0.3.7.9000","text":"previous version.","code":""},{"path":"/news/index.html","id":"ssdtools-037","dir":"Changelog","previous_headings":"","what":"ssdtools 0.3.7","title":"ssdtools 0.3.7","text":"CRAN release: 2021-10-27 fix unequal indentation Rmd ```","code":""},{"path":"/news/index.html","id":"ssdtools-036","dir":"Changelog","previous_headings":"","what":"ssdtools 0.3.6","title":"ssdtools 0.3.6","text":"CRAN release: 2021-09-22 Added wt (Akaike weight) column predict(), ssd_hc() ssd_hp() Deprecated argument ic predict(), ssd_hc() ssd_hp() unused. Silenced output ssd_fit_dists().","code":""},{"path":"/news/index.html","id":"ssdtools-035","dir":"Changelog","previous_headings":"","what":"ssdtools 0.3.5","title":"ssdtools 0.3.5","text":"CRAN release: 2021-09-03 Bump requirement R >= 4.1 actuar package.","code":""},{"path":"/news/index.html","id":"ssdtools-034","dir":"Changelog","previous_headings":"","what":"ssdtools 0.3.4","title":"ssdtools 0.3.4","text":"CRAN release: 2021-05-14 Update Apache License url https.","code":""},{"path":"/news/index.html","id":"ssdtools-033","dir":"Changelog","previous_headings":"","what":"ssdtools 0.3.3","title":"ssdtools 0.3.3","text":"CRAN release: 2021-02-19 Increased requirement R >= 3.5 due VGAM. Modified comma_signif() now rounds 3 significant digits default applies scales::comma() values >= 1000. Soft-deprecated ... argument comma_signif().","code":""},{"path":"/news/index.html","id":"ssdtools-032","dir":"Changelog","previous_headings":"","what":"ssdtools 0.3.2","title":"ssdtools 0.3.2","text":"CRAN release: 2020-09-02 Fix moved URLs.","code":""},{"path":"/news/index.html","id":"ssdtools-031","dir":"Changelog","previous_headings":"","what":"ssdtools 0.3.1","title":"ssdtools 0.3.1","text":"CRAN release: 2020-09-01 Internal changes .","code":""},{"path":"/news/index.html","id":"ssdtools-030","dir":"Changelog","previous_headings":"","what":"ssdtools 0.3.0","title":"ssdtools 0.3.0","text":"CRAN release: 2020-07-09","code":""},{"path":"/news/index.html","id":"breaking-changes-0-3-0","dir":"Changelog","previous_headings":"","what":"Breaking Changes","title":"ssdtools 0.3.0","text":"Soft-deprecated ‘burrIII3’ distribution poorly defined. Soft-deprecated ‘pareto’ distribution poor fit SSD data.","code":""},{"path":"/news/index.html","id":"major-changes-0-3-0","dir":"Changelog","previous_headings":"","what":"Major Changes","title":"ssdtools 0.3.0","text":"Reparameterized ‘llogis’ distribution terms locationlog scalelog. Reparameterized ‘burrIII3’ distribution terms lshape1, lshape2 lscale. Reparamaterized ‘burrIII2’ distribution terms locationlog scalelog. Reparamaterized ‘lgumbel’ distribution terms locationlog scalelog. Reparamaterized ‘gompertz’ distribution terms llocation lshape. Standardized handling arguments d,p,q,r s functions distributions.","code":""},{"path":"/news/index.html","id":"minor-changes-0-3-0","dir":"Changelog","previous_headings":"","what":"Minor Changes","title":"ssdtools 0.3.0","text":"rdist() functions now use length n length(n) > 1. Added slnorm() get starting values ‘dlnorm’ distribution.","code":""},{"path":"/news/index.html","id":"internal-changes-0-3-0","dir":"Changelog","previous_headings":"","what":"Internal Changes","title":"ssdtools 0.3.0","text":"Switch C++ implementation distributions.","code":""},{"path":"/news/index.html","id":"ssdtools-020","dir":"Changelog","previous_headings":"","what":"ssdtools 0.2.0","title":"ssdtools 0.2.0","text":"CRAN release: 2020-04-15","code":""},{"path":"/news/index.html","id":"breaking-changes-0-2-0","dir":"Changelog","previous_headings":"","what":"Breaking Changes","title":"ssdtools 0.2.0","text":"Changed computable (whether standard errors must computable considered converged) FALSE default. Enforces one ‘llogis’, ‘llog’ ‘burrIII2’ sets (identical).","code":""},{"path":"/news/index.html","id":"major-changes-0-2-0","dir":"Changelog","previous_headings":"","what":"Major Changes","title":"ssdtools 0.2.0","text":"Deprecated ‘burrIII2’ ‘llogis’ identical. Replaced ‘burrIII2’ (identical) ‘llogis’ default set. Fixed bug rllog() causing error. Fixed parameterisation ‘lgumbel’ causing fail fit data.","code":""},{"path":"/news/index.html","id":"minor-changes-0-2-0","dir":"Changelog","previous_headings":"","what":"Minor Changes","title":"ssdtools 0.2.0","text":"Provides warning message change default ci argument predict function. gives warning standard errors computable computable = TRUE. Uses tibble package create tibbles. Removed dependency checkr.","code":""},{"path":"/news/index.html","id":"ssdtools-011","dir":"Changelog","previous_headings":"","what":"ssdtools 0.1.1","title":"ssdtools 0.1.1","text":"CRAN release: 2020-01-24 Fix test CRAN R 3.5","code":""},{"path":"/news/index.html","id":"ssdtools-010","dir":"Changelog","previous_headings":"","what":"ssdtools 0.1.0","title":"ssdtools 0.1.0","text":"CRAN release: 2020-01-13","code":""},{"path":"/news/index.html","id":"breaking-changes-0-1-0","dir":"Changelog","previous_headings":"","what":"Breaking Changes","title":"ssdtools 0.1.0","text":"Default distributions changed ‘burrIII2’, ‘gamma’ ‘lnorm’ ‘gamma’, ‘gompertz’, ‘lgumbel’, ‘llog’, ‘lnorm’ ‘weibull’. Changed implicit behaviour ssd_hc() predict() ci = TRUE explicit ssd_hc(ci = FALSE) predict(ci = FALSE). Replaced shape scale arguments llog() lshape lscale. Replaced location scale arguments lgumbel() llocation lscale.","code":""},{"path":"/news/index.html","id":"major-features-0-1-0","dir":"Changelog","previous_headings":"","what":"Major Features","title":"ssdtools 0.1.0","text":"Added Burr Type-III Two-Parameter Distribution (burrIII2). Added ssd_hp() calculate hazard percent specific concentrations. Added ssd_exposure() calculate proportion exposed based distribution concentrations. Optimized predict() added parallel argument. Tidyverse style error warning messages.","code":""},{"path":"/news/index.html","id":"minor-features-0-1-0","dir":"Changelog","previous_headings":"","what":"Minor Features","title":"ssdtools 0.1.0","text":"ssd_fit_dists() now checks standard errors computable. Added Burr Type-III Three-Parameter Distribution (burrIII3). Added sdist(x) functionality set starting values distributions. Added ssd_plot_cdf() plot cumulative distribution function (equivalent autoplot()) nobs() censored data now returns missing value. Default ssd_fit_dists() distributions now ordered alphabetically.","code":""},{"path":"/news/index.html","id":"deprecated-0-1-0","dir":"Changelog","previous_headings":"","what":"Deprecated","title":"ssdtools 0.1.0","text":"Deprecated ssd_hc() argument hc = 5L percent = 5L. Deprecated dllog() etc dllogis(). Deprecated ssd_cfplot() ssd_plot_cf().","code":""},{"path":"/news/index.html","id":"bug-fixes-0-1-0","dir":"Changelog","previous_headings":"","what":"Bug Fixes","title":"ssdtools 0.1.0","text":"Fixed llog distribution small concentrations. Ensured concentrations 1 1 significant figure plots.","code":""},{"path":"/news/index.html","id":"ssdtools-003","dir":"Changelog","previous_headings":"","what":"ssdtools 0.0.3","title":"ssdtools 0.0.3","text":"CRAN release: 2018-11-25 added citation Added ssdtools-manual vignette Changed predict() ssd_hc() nboot argument 1001 1000 Added hc5_boron data object longer export ssd_fit_dist() ssd_fit_dists() renders redundant geom_hcintersect() now takes multiple values information DESCRIPTION Added CRAN badge Removed dependencies: dplyr, magrittr, plyr, purrr Moved depends imports: VGAM, fitdistrplus, graphics, ggplot, stats Moved imports suggests: tibble","code":""},{"path":"/news/index.html","id":"ssdtools-002","dir":"Changelog","previous_headings":"","what":"ssdtools 0.0.2","title":"ssdtools 0.0.2","text":"CRAN release: 2018-10-14 Added contributors Added hex","code":""},{"path":"/news/index.html","id":"ssdtools-001","dir":"Changelog","previous_headings":"","what":"ssdtools 0.0.1","title":"ssdtools 0.0.1","text":"Initial Release","code":""}]
diff --git a/sitemap.xml b/sitemap.xml
index b4cf3268..9250c742 100644
--- a/sitemap.xml
+++ b/sitemap.xml
@@ -1,249 +1,87 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9">
-  <url>
-    <loc>/404.html</loc>
-  </url>
-  <url>
-    <loc>/CODE_OF_CONDUCT.html</loc>
-  </url>
-  <url>
-    <loc>/CONTRIBUTING.html</loc>
-  </url>
-  <url>
-    <loc>/LICENSE-text.html</loc>
-  </url>
-  <url>
-    <loc>/SUPPORT.html</loc>
-  </url>
-  <url>
-    <loc>/articles/additional-technical-details.html</loc>
-  </url>
-  <url>
-    <loc>/articles/confidence-intervals.html</loc>
-  </url>
-  <url>
-    <loc>/articles/customising-plots.html</loc>
-  </url>
-  <url>
-    <loc>/articles/distributions.html</loc>
-  </url>
-  <url>
-    <loc>/articles/faqs.html</loc>
-  </url>
-  <url>
-    <loc>/articles/index.html</loc>
-  </url>
-  <url>
-    <loc>/articles/model-averaging.html</loc>
-  </url>
-  <url>
-    <loc>/articles/ssdtools.html</loc>
-  </url>
-  <url>
-    <loc>/authors.html</loc>
-  </url>
-  <url>
-    <loc>/index.html</loc>
-  </url>
-  <url>
-    <loc>/news/index.html</loc>
-  </url>
-  <url>
-    <loc>/reference/augment.fitdists.html</loc>
-  </url>
-  <url>
-    <loc>/reference/autoplot.fitdists.html</loc>
-  </url>
-  <url>
-    <loc>/reference/boron_pred.html</loc>
-  </url>
-  <url>
-    <loc>/reference/coef.fitdists.html</loc>
-  </url>
-  <url>
-    <loc>/reference/comma_signif.html</loc>
-  </url>
-  <url>
-    <loc>/reference/dgompertz.html</loc>
-  </url>
-  <url>
-    <loc>/reference/dist_data.html</loc>
-  </url>
-  <url>
-    <loc>/reference/dlgumbel.html</loc>
-  </url>
-  <url>
-    <loc>/reference/estimates.fitdists.html</loc>
-  </url>
-  <url>
-    <loc>/reference/geom_hcintersect.html</loc>
-  </url>
-  <url>
-    <loc>/reference/geom_ssd.html</loc>
-  </url>
-  <url>
-    <loc>/reference/geom_ssdpoint.html</loc>
-  </url>
-  <url>
-    <loc>/reference/geom_ssdsegment.html</loc>
-  </url>
-  <url>
-    <loc>/reference/geom_xribbon.html</loc>
-  </url>
-  <url>
-    <loc>/reference/glance.fitdists.html</loc>
-  </url>
-  <url>
-    <loc>/reference/index.html</loc>
-  </url>
-  <url>
-    <loc>/reference/is.fitdists.html</loc>
-  </url>
-  <url>
-    <loc>/reference/is_censored.html</loc>
-  </url>
-  <url>
-    <loc>/reference/licensing_md.html</loc>
-  </url>
-  <url>
-    <loc>/reference/params.html</loc>
-  </url>
-  <url>
-    <loc>/reference/pearson1000.html</loc>
-  </url>
-  <url>
-    <loc>/reference/pgompertz.html</loc>
-  </url>
-  <url>
-    <loc>/reference/plgumbel.html</loc>
-  </url>
-  <url>
-    <loc>/reference/predict.fitburrlioz.html</loc>
-  </url>
-  <url>
-    <loc>/reference/predict.fitdists.html</loc>
-  </url>
-  <url>
-    <loc>/reference/qgompertz.html</loc>
-  </url>
-  <url>
-    <loc>/reference/qlgumbel.html</loc>
-  </url>
-  <url>
-    <loc>/reference/reexports.html</loc>
-  </url>
-  <url>
-    <loc>/reference/rgompertz.html</loc>
-  </url>
-  <url>
-    <loc>/reference/rlgumbel.html</loc>
-  </url>
-  <url>
-    <loc>/reference/scale_colour_ssd.html</loc>
-  </url>
-  <url>
-    <loc>/reference/ssd_data.html</loc>
-  </url>
-  <url>
-    <loc>/reference/ssd_dists.html</loc>
-  </url>
-  <url>
-    <loc>/reference/ssd_dists_all.html</loc>
-  </url>
-  <url>
-    <loc>/reference/ssd_dists_bcanz.html</loc>
-  </url>
-  <url>
-    <loc>/reference/ssd_e.html</loc>
-  </url>
-  <url>
-    <loc>/reference/ssd_ecd.html</loc>
-  </url>
-  <url>
-    <loc>/reference/ssd_ecd_data.html</loc>
-  </url>
-  <url>
-    <loc>/reference/ssd_exposure.html</loc>
-  </url>
-  <url>
-    <loc>/reference/ssd_fit_bcanz.html</loc>
-  </url>
-  <url>
-    <loc>/reference/ssd_fit_burrlioz.html</loc>
-  </url>
-  <url>
-    <loc>/reference/ssd_fit_dists.html</loc>
-  </url>
-  <url>
-    <loc>/reference/ssd_gof.html</loc>
-  </url>
-  <url>
-    <loc>/reference/ssd_hc.html</loc>
-  </url>
-  <url>
-    <loc>/reference/ssd_hc_bcanz.html</loc>
-  </url>
-  <url>
-    <loc>/reference/ssd_hc_burrlioz.html</loc>
-  </url>
-  <url>
-    <loc>/reference/ssd_hp.html</loc>
-  </url>
-  <url>
-    <loc>/reference/ssd_hp_bcanz.html</loc>
-  </url>
-  <url>
-    <loc>/reference/ssd_is_censored.html</loc>
-  </url>
-  <url>
-    <loc>/reference/ssd_match_moments.html</loc>
-  </url>
-  <url>
-    <loc>/reference/ssd_p.html</loc>
-  </url>
-  <url>
-    <loc>/reference/ssd_pal.html</loc>
-  </url>
-  <url>
-    <loc>/reference/ssd_plot.html</loc>
-  </url>
-  <url>
-    <loc>/reference/ssd_plot_cdf.html</loc>
-  </url>
-  <url>
-    <loc>/reference/ssd_plot_cf.html</loc>
-  </url>
-  <url>
-    <loc>/reference/ssd_plot_data.html</loc>
-  </url>
-  <url>
-    <loc>/reference/ssd_q.html</loc>
-  </url>
-  <url>
-    <loc>/reference/ssd_r.html</loc>
-  </url>
-  <url>
-    <loc>/reference/ssd_sort_data.html</loc>
-  </url>
-  <url>
-    <loc>/reference/ssd_wqg_bc.html</loc>
-  </url>
-  <url>
-    <loc>/reference/ssd_wqg_burrlioz.html</loc>
-  </url>
-  <url>
-    <loc>/reference/ssdtools-ggproto.html</loc>
-  </url>
-  <url>
-    <loc>/reference/ssdtools-package.html</loc>
-  </url>
-  <url>
-    <loc>/reference/stat_ssd.html</loc>
-  </url>
-  <url>
-    <loc>/reference/subset.fitdists.html</loc>
-  </url>
-  <url>
-    <loc>/reference/tidy.fitdists.html</loc>
-  </url>
+<urlset xmlns = 'http://www.sitemaps.org/schemas/sitemap/0.9'>
+<url><loc>/404.html</loc></url>
+<url><loc>/CODE_OF_CONDUCT.html</loc></url>
+<url><loc>/CONTRIBUTING.html</loc></url>
+<url><loc>/LICENSE-text.html</loc></url>
+<url><loc>/SUPPORT.html</loc></url>
+<url><loc>/articles/additional-technical-details.html</loc></url>
+<url><loc>/articles/confidence-intervals.html</loc></url>
+<url><loc>/articles/customising-plots.html</loc></url>
+<url><loc>/articles/distributions.html</loc></url>
+<url><loc>/articles/faqs.html</loc></url>
+<url><loc>/articles/index.html</loc></url>
+<url><loc>/articles/model-averaging.html</loc></url>
+<url><loc>/articles/ssdtools.html</loc></url>
+<url><loc>/authors.html</loc></url>
+<url><loc>/index.html</loc></url>
+<url><loc>/news/index.html</loc></url>
+<url><loc>/reference/augment.fitdists.html</loc></url>
+<url><loc>/reference/autoplot.fitdists.html</loc></url>
+<url><loc>/reference/boron_pred.html</loc></url>
+<url><loc>/reference/coef.fitdists.html</loc></url>
+<url><loc>/reference/comma_signif.html</loc></url>
+<url><loc>/reference/dgompertz.html</loc></url>
+<url><loc>/reference/dist_data.html</loc></url>
+<url><loc>/reference/dlgumbel.html</loc></url>
+<url><loc>/reference/estimates.fitdists.html</loc></url>
+<url><loc>/reference/geom_hcintersect.html</loc></url>
+<url><loc>/reference/geom_ssd.html</loc></url>
+<url><loc>/reference/geom_ssdpoint.html</loc></url>
+<url><loc>/reference/geom_ssdsegment.html</loc></url>
+<url><loc>/reference/geom_xribbon.html</loc></url>
+<url><loc>/reference/glance.fitdists.html</loc></url>
+<url><loc>/reference/index.html</loc></url>
+<url><loc>/reference/is.fitdists.html</loc></url>
+<url><loc>/reference/is_censored.html</loc></url>
+<url><loc>/reference/params.html</loc></url>
+<url><loc>/reference/pgompertz.html</loc></url>
+<url><loc>/reference/plgumbel.html</loc></url>
+<url><loc>/reference/predict.fitburrlioz.html</loc></url>
+<url><loc>/reference/predict.fitdists.html</loc></url>
+<url><loc>/reference/qgompertz.html</loc></url>
+<url><loc>/reference/qlgumbel.html</loc></url>
+<url><loc>/reference/reexports.html</loc></url>
+<url><loc>/reference/rgompertz.html</loc></url>
+<url><loc>/reference/rlgumbel.html</loc></url>
+<url><loc>/reference/scale_colour_ssd.html</loc></url>
+<url><loc>/reference/ssd_censor_data.html</loc></url>
+<url><loc>/reference/ssd_data.html</loc></url>
+<url><loc>/reference/ssd_dists.html</loc></url>
+<url><loc>/reference/ssd_dists_all.html</loc></url>
+<url><loc>/reference/ssd_dists_bcanz.html</loc></url>
+<url><loc>/reference/ssd_e.html</loc></url>
+<url><loc>/reference/ssd_ecd.html</loc></url>
+<url><loc>/reference/ssd_ecd_data.html</loc></url>
+<url><loc>/reference/ssd_exposure.html</loc></url>
+<url><loc>/reference/ssd_fit_bcanz.html</loc></url>
+<url><loc>/reference/ssd_fit_burrlioz.html</loc></url>
+<url><loc>/reference/ssd_fit_dists.html</loc></url>
+<url><loc>/reference/ssd_gof.html</loc></url>
+<url><loc>/reference/ssd_hc.html</loc></url>
+<url><loc>/reference/ssd_hc_bcanz.html</loc></url>
+<url><loc>/reference/ssd_hc_burrlioz.html</loc></url>
+<url><loc>/reference/ssd_hp.html</loc></url>
+<url><loc>/reference/ssd_hp_bcanz.html</loc></url>
+<url><loc>/reference/ssd_is_censored.html</loc></url>
+<url><loc>/reference/ssd_label_comma.html</loc></url>
+<url><loc>/reference/ssd_licensing_md.html</loc></url>
+<url><loc>/reference/ssd_match_moments.html</loc></url>
+<url><loc>/reference/ssd_min_pmix.html</loc></url>
+<url><loc>/reference/ssd_p.html</loc></url>
+<url><loc>/reference/ssd_pal.html</loc></url>
+<url><loc>/reference/ssd_plot.html</loc></url>
+<url><loc>/reference/ssd_plot_cdf.html</loc></url>
+<url><loc>/reference/ssd_plot_cf.html</loc></url>
+<url><loc>/reference/ssd_plot_data.html</loc></url>
+<url><loc>/reference/ssd_q.html</loc></url>
+<url><loc>/reference/ssd_r.html</loc></url>
+<url><loc>/reference/ssd_sort_data.html</loc></url>
+<url><loc>/reference/ssd_wqg_bc.html</loc></url>
+<url><loc>/reference/ssd_wqg_burrlioz.html</loc></url>
+<url><loc>/reference/ssdtools-ggproto.html</loc></url>
+<url><loc>/reference/ssdtools-package.html</loc></url>
+<url><loc>/reference/stat_ssd.html</loc></url>
+<url><loc>/reference/subset.fitdists.html</loc></url>
+<url><loc>/reference/tidy.fitdists.html</loc></url>
 </urlset>
+
