Partitioning the R2 of GLMMs into variation explained by each predictor and combination of predictors using semi-partial (part) R2 and inclusive R2. Methods are based on the R2 for GLMMs described in Nakagawa & Schielzeth (2013) and Nakagawa, Johnson & Schielzeth (2017).
| Version: | 0.9.2 |
| Depends: | R (≥ 3.5.0) |
| Imports: | methods, stats,lme4 (≥ 1.1-21),pbapply (≥ 1.4-2),dplyr (≥ 1.0.0),purrr (≥ 0.3.3),rlang (≥ 0.4.2),tibble (≥2.1.3),magrittr (≥ 1.5),ggplot2 (≥ 3.3.0),tidyr (≥ 1.1) |
| Suggests: | testthat,future,furrr,knitr,rmarkdown,patchwork,covr |
| Published: | 2024-03-04 |
| DOI: | 10.32614/CRAN.package.partR2 |
| Author: | Martin A. Stoffel [aut, cre], Shinichi Nakagawa [aut], Holger Schielzeth [aut] |
| Maintainer: | Martin A. Stoffel <martin.adam.stoffel at gmail.com> |
| BugReports: | https://github.com/mastoffel/partR2/issues |
| License: | GPL-2 |GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/mastoffel/partR2 |
| NeedsCompilation: | no |
| Citation: | partR2 citation info |
| Materials: | README,NEWS |
| In views: | MixedModels |
| CRAN checks: | partR2 results |