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) <doi:10.1111/j.2041-210x.2012.00261.x> and Nakagawa, Johnson & Schielzeth (2017) <doi:10.1098/rsif.2017.0213>.

Package details

AuthorMartin A. Stoffel [aut, cre], Shinichi Nakagawa [aut], Holger Schielzeth [aut]
MaintainerMartin A. Stoffel <>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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partR2 documentation built on Jan. 18, 2021, 5:06 p.m.