Merge pull request #35 from tidymodels/rc-0-2-0

Rc 0 2 0

.Rbuildignore

@@ -9,3 +9,4 @@
 ^_pkgdown\.yml$
 ^docs$
 ^pkgdown$
+^CRAN-SUBMISSION$

DESCRIPTION

@@ -1,6 +1,6 @@
 Package: multilevelmod
 Title: Model Wrappers for Multi-Level Models
-Version: 0.1.0.9000
+Version: 0.2.0
 Authors@R: c(
  person("Max", "Kuhn", , "[email protected]", role = c("aut"),
  comment = c(ORCID = "0000-0003-2402-136X")),

NEWS.md

@@ -1,4 +1,4 @@
-# multilevelmod 0.1.0.9000
+# multilevelmod 0.2.0
 
 * The vignette now uses the `sleepstudy` data.
 

README.Rmd

@@ -18,7 +18,6 @@ knitr::opts_chunk$set(
 <!-- badges: start -->
 [![Lifecycle: experimental](https://img.shields.io/badge/lifecycle-experimental-orange.svg)](https://lifecycle.r-lib.org/articles/stages.html)
 [![Codecov test coverage](https://codecov.io/gh/topepo/multilevelmod/branch/main/graph/badge.svg)](https://app.codecov.io/gh/topepo/multilevelmod?branch=main)
-[![R-CMD-check](https://github.com/tidymodels/multilevelmod/workflows/R-CMD-check/badge.svg)](https://github.com/tidymodels/multilevelmod/actions)
 [![R-CMD-check](https://github.com/tidymodels/multilevelmod/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/tidymodels/multilevelmod/actions/workflows/R-CMD-check.yaml)
 <!-- badges: end -->
 
@@ -30,7 +29,7 @@ multilevelmod enables the use of multi-level models (a.k.a mixed-effects models,
 
 ## Installation
 
-You can install the released version of multilevelmod from [CRAN](https://CRAN.R-project.org) with:
+You can install the released version of multilevelmod from [CRAN](https://cran.r-project.org) with:
 
 ``` r
 install.packages("multilevelmod")

README.md

@@ -9,7 +9,7 @@
 experimental](https://img.shields.io/badge/lifecycle-experimental-orange.svg)](https://lifecycle.r-lib.org/articles/stages.html)
 [![Codecov test
 coverage](https://codecov.io/gh/topepo/multilevelmod/branch/main/graph/badge.svg)](https://app.codecov.io/gh/topepo/multilevelmod?branch=main)
-[![R-CMD-check](https://github.com/tidymodels/multilevelmod/workflows/R-CMD-check/badge.svg)](https://github.com/tidymodels/multilevelmod/actions)
+[![R-CMD-check](https://github.com/tidymodels/multilevelmod/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/tidymodels/multilevelmod/actions/workflows/R-CMD-check.yaml)
 <!-- badges: end -->
 
 multilevelmod enables the use of multi-level models (a.k.a mixed-effects
@@ -23,7 +23,7 @@ models, Bayesian hierarchical models, etc.) with the parsnip package.
 ## Installation
 
 You can install the released version of multilevelmod from
-[CRAN](https://CRAN.R-project.org) with:
+[CRAN](https://cran.r-project.org) with:
 
 ``` r
 install.packages("multilevelmod")

cran-comments.md

@@ -1,12 +1,6 @@
-## Test environments
-
-* GitHub Actions (ubuntu-16.04): 3.2, 3.3, oldrel, release, devel
-* GitHub Actions (windows): release
-* Github Actions (macOS): release, devel
-* win-builder: devel
-
 ## R CMD check results
 
 0 errors | 0 warnings | 1 note
 
-* This is a new release.
+* This is a maintainer change from Max Kuhn ([email protected]) to 
+ Hannah Frick ([email protected]).