major docs changes reflecting v0.5.1

README.md

@@ -2,15 +2,15 @@
 [![version](https://juliahub.com/docs/HetaSimulator/version.svg)](https://juliahub.com/ui/Packages/HetaSimulator/IIE0h)
 [![GitHub issues](https://img.shields.io/github/issues/hetalang/HetaSimulator.jl.svg)](https://GitHub.com/hetalang/HetaSimulator.jl/issues/)
 [![Coverage Status](https://coveralls.io/repos/github/hetalang/HetaSimulator.jl/badge.svg?branch=master)](https://coveralls.io/github/hetalang/HetaSimulator.jl?branch=master)
-[![api-docs](https://img.shields.io/website?down_color=yellow&label=api-docs&up_color=green&url=https%3A%2F%2Fhetalang.github.io%2FHetaSimulator.jl%2Fdev%2F)](https://hetalang.github.io/HetaSimulator.jl/dev)
+[![Docs](https://img.shields.io/badge/docs-stable-blue.svg)](https://hetalang.github.io/HetaSimulator.jl/stable)
 [![GitHub license](https://img.shields.io/github/license/hetalang/HetaSimulator.jl.svg)](https://github.com/hetalang/HetaSimulator.jl/blob/master/LICENSE)
 
 # HetaSimulator
 
-**HetaSimulator** is an OpenSource simulation and parameters estimation (fitting) platform for the [Heta modeling language](https://hetalang.github.io/#/). 
+**HetaSimulator** is an open-source simulation and parameters estimation (fitting) platform for the [Heta modeling language](https://hetalang.github.io/#/). 
 The main purpose of the package is to establish the linkage between emerging [QSP frameworks](https://en.wikipedia.org/wiki/Quantitative_systems_pharmacology) and fast computational methods (parallel simulations, automatic differentiation, etc.).
 
-The latest documentation can be found here: <https://hetalang.github.io/HetaSimulator.jl/dev/>.
+The latest documentation can be found here: <https://hetalang.github.io/HetaSimulator.jl/stable/>.
 
 See the [ROAD MAP](./roadmap.md) for future implementations.
 
@@ -20,7 +20,7 @@ Heta language is a domain-specific modeling language (DSL) for dynamic models us
 
 This package provides the simulation engines for the Heta-based models and modeling platforms to be run in Julia. A QSP model can be directly run using the HetaSimulator without additional tools. The ODE system in general form can also be run with HetaSimulator.
 
-Internally HetaSimulator utilizes the facilities of OpenSource projects like [Julia](https://julialang.org/) and [SciML ecosystem](https://sciml.ai/).
+Internally HetaSimulator utilizes the facilities of open-source projects like [Julia](https://julialang.org/) and [SciML ecosystem](https://sciml.ai/).
 
 ## Installation
 
@@ -88,11 +88,11 @@ df = DataFrame(results)
    2 │    0.611077   11.9927   0.00733069   ode_
 ```
 
-*To read more about available functions, see the [documentation](https://hetalang.github.io/HetaSimulator.jl/dev/)*
+*To read more about available functions, see the [documentation](https://hetalang.github.io/HetaSimulator.jl/stable/)*
 
 ## Getting help
 
-- Read the [docs](https://hetalang.github.io/HetaSimulator.jl/dev/)
+- Read the [docs](https://hetalang.github.io/HetaSimulator.jl/stable/)
 - Use [Gitter Chatroom](https://gitter.im/hetalang/community?utm_source=readme).
 - Use [Issue Tracker](https://github.com/hetalang/HetaSimulator.jl/issues)
 

cases/README.md

@@ -1,5 +1,5 @@
-# Simple models and scenarios to check syntax
+# Simple models and scenarios to check the syntax
 
-- story_0 : small model from README file
-- story_1 : Run with manual creation of objects
-- story_2 : Run everything using `Platform`
+- story_0 : A small model from the README file
+- story_1 : Manual creation of scenarios, etc
+- story_2 : Uses `Platform` object

docs/make.jl

@@ -1,13 +1,13 @@
 using Documenter, HetaSimulator
 
 makedocs(
-    sitename = "HetaSimulator Docs",
+    sitename = "HetaSimulator.jl",
     authors = "Ivan Borisov, Evgeny Metelkin",
     modules = [HetaSimulator],
     format = Documenter.HTML(
         analytics = "UA-149749027-1",
         #assets = ["assets/favicon.ico"],
-        canonical="https://hetalang.github.io/HetaSimulator.jl/dev/"
+        canonical="https://hetalang.github.io/HetaSimulator.jl/stable/"
     ),
     pages = [
         "Home" => "index.md", # readme

docs/src/basics/distributed.md

@@ -26,7 +26,7 @@ f = fit([scn1, scn2, scn3], [:k1=>0.1,:k2=>0.2,:k3=>0.3], parallel_type=Ensemble
 
 We can run parallel Monte-Carlo (Ensemble) simulations with parameters taken from distributions or from a pre-generated `DataFrame`.
 Parallel setup can work both with parameters vectors and `scenarios`. 
-Let's assume  we have loaded a number of `Scenario`s: `scn1, scn2, scn3` and a `DataFrame` `df` with parameters vectors (as rows).
+Let's assume we have loaded a number of `Scenario`s: `scn1, scn2, scn3` and a `DataFrame` `df` with parameters vectors (as rows).
 ```julia
 using Distributed
 addprocs(2)