fix links

NEWS.md

@@ -1,10 +1,15 @@
+# mlrMBO 1.1.5
+
+* Documentation fixes
+* Bugfix: Fix CRAN warnings.
+
 # mlrMBO 1.1.4
 
 * `plot.OptState()` now supports multiple categorical variables.
 * `crit.aei` works with wrapped learners.
 * Documentation fixes
 * `mbo()` can be called without control object.
-* Bugix: MOIMBO works with integers
+* Bugfix: MOIMBO works with integers
 
 # mlrMBO 1.1.3
 

README.Rmd

@@ -17,12 +17,12 @@ Model-based optimization with [mlr](https://github.com/mlr-org/mlr/).
 
 <!-- badges: start -->
 [![tic](https://github.com/mlr-org/mlrMBO/workflows/tic/badge.svg?branch=master)](https://github.com/mlr-org/mlrMBO/actions)
-[![CRAN_Status_Badge](http://www.r-pkg.org/badges/version/mlrMBO)](https://cran.r-project.org/package=mlrMBO)
+[![CRAN_Status_Badge](https://www.r-pkg.org/badges/version/mlrMBO)](https://cran.r-project.org/package=mlrMBO)
 [![Coverage Status](https://img.shields.io/codecov/c/github/mlr-org/mlrMBO/master.svg)](https://codecov.io/github/mlr-org/mlrMBO?branch=master)
 [![Monthly RStudio CRAN Downloads](https://cranlogs.r-pkg.org/badges/mlrMBO)](https://CRAN.R-project.org/package=mlrMBO)
 <!-- badges: end -->
 
-* [Documentation](https://mlr-org.github.io/mlrMBO/)
+* [Documentation](https://mlrmbo.mlr-org.com/)
 * [Issues, Requests and Bug Tracker](https://github.com/mlr-org/mlrMBO/issues)
 
 # Installation
@@ -72,7 +72,7 @@ for(i in 1:10) {
 
 Features:
 
-* EGO-type algorithms (Kriging with expected improvement) on purely numerical search spaces, see [Jones et al. (1998)](http://link.springer.com/article/10.1023/A:1008306431147)
+* EGO-type algorithms (Kriging with expected improvement) on purely numerical search spaces, see [Jones et al. (1998)](https://link.springer.com/article/10.1023/A:1008306431147)
 * Mixed search spaces with numerical, integer, categorical and subordinate parameters
 * Arbitrary parameter transformation allowing to optimize on, e.g., logscale
 * Optimization of noisy objective functions
@@ -107,7 +107,7 @@ You can get citation info via `citation("mlrMBO")` or copy the following BibTex
 ```bibtex
 @article{mlrMBO,
   title = {{{mlrMBO}}: {{A Modular Framework}} for {{Model}}-{{Based Optimization}} of {{Expensive Black}}-{{Box Functions}}},
-  url = {http://arxiv.org/abs/1703.03373},
+  url = {https://arxiv.org/abs/1703.03373},
   shorttitle = {{{mlrMBO}}},
   archivePrefix = {arXiv},
   eprinttype = {arxiv},

README.md

@@ -9,14 +9,14 @@ Model-based optimization with [mlr](https://github.com/mlr-org/mlr/).
 <!-- badges: start -->
 
 [![tic](https://github.com/mlr-org/mlrMBO/workflows/tic/badge.svg?branch=master)](https://github.com/mlr-org/mlrMBO/actions)
-[![CRAN\_Status\_Badge](http://www.r-pkg.org/badges/version/mlrMBO)](https://cran.r-project.org/package=mlrMBO)
+[![CRAN\_Status\_Badge](https://www.r-pkg.org/badges/version/mlrMBO)](https://cran.r-project.org/package=mlrMBO)
 [![Coverage
 Status](https://img.shields.io/codecov/c/github/mlr-org/mlrMBO/master.svg)](https://codecov.io/github/mlr-org/mlrMBO?branch=master)
 [![Monthly RStudio CRAN
 Downloads](https://cranlogs.r-pkg.org/badges/mlrMBO)](https://CRAN.R-project.org/package=mlrMBO)
 <!-- badges: end -->
 
-  - [Documentation](https://mlr-org.github.io/mlrMBO/)
+  - [Documentation](https://mlrmbo.mlr-org.com/)
   - [Issues, Requests and Bug
     Tracker](https://github.com/mlr-org/mlrMBO/issues)
 
@@ -45,7 +45,7 @@ Features:
 
   - EGO-type algorithms (Kriging with expected improvement) on purely
     numerical search spaces, see [Jones et
-    al. (1998)](http://link.springer.com/article/10.1023/A:1008306431147)
+    al. (1998)](https://link.springer.com/article/10.1023/A:1008306431147)
   - Mixed search spaces with numerical, integer, categorical and
     subordinate parameters
   - Arbitrary parameter transformation allowing to optimize on, e.g.,
@@ -89,7 +89,7 @@ the following BibTex entry:
 ``` bibtex
 @article{mlrMBO,
   title = {{{mlrMBO}}: {{A Modular Framework}} for {{Model}}-{{Based Optimization}} of {{Expensive Black}}-{{Box Functions}}},
-  url = {http://arxiv.org/abs/1703.03373},
+  url = {https://arxiv.org/abs/1703.03373},
   shorttitle = {{{mlrMBO}}},
   archivePrefix = {arXiv},
   eprinttype = {arxiv},

inst/CITATION

@@ -11,5 +11,5 @@ bibentry(
     person("Michel", "Lang")
   ),
   year = "2017",
-  url = "http://arxiv.org/abs/1703.03373"
+  url = "https://arxiv.org/abs/1703.03373"
 )

vignettes/mlrMBO.Rmd

@@ -29,7 +29,7 @@ Supported are, among other things:
 - Multi-criteria optimization
 
 This vignette gives a brief overview of the features of `mlrMBO`.
-A more detailed documentation can be found on: <http://mlr-org.github.io/mlrMBO/>.
+A more detailed documentation can be found on: <https://mlrmbo.mlr-org.com/>.
 
 # Quickstart
 

vignettes/supplementary/parallelization.Rmd

@@ -78,7 +78,7 @@ Each lambda value leads to a slightly different infill criteria function with di
 * `multicrit`: Use a evolutionary multicriteria optimization.
 This is a (mu+1) type evolutionary algorithm and runs for `multicrit.maxit` generations.
 The population size is set to `propose.points`.
-For a detailed description of the algorithm check the paper [MOI-MBO: Multiobjective Infill for Parallel Model-Based Optimization](http://link.springer.com/chapter/10.1007/978-3-319-09584-4_17).
+For a detailed description of the algorithm check the paper [MOI-MBO: Multiobjective Infill for Parallel Model-Based Optimization](https://link.springer.com/chapter/10.1007/978-3-319-09584-4_17).
 
 ### Constant Liar