Partitioning R2 in GLMMs [R package partR2 version 0.9.2]

partR2: Partitioning R2 in GLMMs

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年03月04日

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

Documentation:

Reference manual: partR2.html , partR2.pdf

Vignettes: Using partR2 (source, R code)

Downloads:

Package source: partR2_0.9.2.tar.gz

Windows binaries: r-devel: partR2_0.9.2.zip, r-release: partR2_0.9.2.zip, r-oldrel: partR2_0.9.2.zip

macOS binaries: r-release (arm64): partR2_0.9.2.tgz, r-oldrel (arm64): partR2_0.9.2.tgz, r-release (x86_64): partR2_0.9.2.tgz, r-oldrel (x86_64): partR2_0.9.2.tgz

Old sources: partR2 archive

Linking:

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