Merge pull request #57 from mayer79/submit_33

CRAN submission 033

CRAN-SUBMISSION

@@ -1,3 +1,3 @@
-Version: 0.3.2
-Date: 2022-12-17 09:49:19 UTC
-SHA: 95de1c9c09c75c43ee0407dc62a63bdfa78e2430
+Version: 0.3.3
+Date: 2023-01-11 17:19:37 UTC
+SHA: 185fbe34878112883f33fb5bc7ee544442492f1d

README.md

@@ -1,4 +1,7 @@
-# The "kernelshap" package <a href='https://github.com/mayer79/kernelshap'><img src='man/figures/logo.png' align="right" height="138.5" /></a>
+# kernelshap <a href='https://github.com/mayer79/kernelshap'><img src='man/figures/logo.png' align="right" height="138.5" /></a>
+
+[![CRAN version](http://www.r-pkg.org/badges/version/kernelshap)](https://cran.r-project.org/package=kernelshap) [![](https://cranlogs.r-pkg.org/badges/kernelshap)](https://cran.r-project.org/package=kernelshap) [![](https://cranlogs.r-pkg.org/badges/grand-total/kernelshap?color=orange)](https://cran.r-project.org/package=kernelshap)
+
 
 ## Introduction
 
@@ -28,6 +31,17 @@ Additional arguments of `kernelshap()` can be used to control details of the alg
 - Meta-learner packages like "tidyvmodels", "caret", or "mlr3" are straightforward to use.
 - In order to use parallel processing, the backend must be set up beforehand, see the example below.
 
+## Installation
+
+``` r
+# From CRAN
+install.packages("kernelshap")
+
+# Or the newest version from GitHub:
+# install.packages("devtools")
+devtools::install_github("mayer79/kernelshap")
+```
+
 ## Workflow to explain any model
 
 The typical workflow to explain any model with Kernel SHAP:

cran-comments.md

@@ -1,7 +1,6 @@
 Hello CRAN team
 
-I am aware that the last package update is not too long ago. Still, I saw that
-one of its dependencies (dorng) has status ORPHANED. While this might only be a 
+I saw that a strong dependency ("dorng"") has status ORPHANED. While this might only be a 
 temporary problem with "dorng", I have removed that package from the dependencies.
 
 ## Checks