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 resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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