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R package to partition R2 among predictors in Generalized linear mixed models

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Prepare for release: * [x] `git pull` * [x] Check [current CRAN check results](https://cran.rstudio.org/web/checks/check_results_partR2.html) * [x] [Polish NEWS](https://style.tidyverse.org/news.html#news-release) * [x] `urlchecker::url_check()` * [x] `devtools::build_readme()` * [x] `devtools::check(remote = TRUE, manual...

Thank you so much for creating a neat package! I have been looking for a package to do commonality analyses in a mixed model. In your PeerJ article, you said...

Hello, thanks for the great package. I had a question about partial R^2 interpretation, particularly when the 'partR2' command returns a partial Rsquared value for a variable of known importance...

Are there any plans to implement the partR2 function for glmm's with negative binomial distribution? Or are there any particular reason one should not calculate this with this distribution? Also,...

Are there plans for MLM functionality for models with random intercepts and slopes? Thanks!