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).

Package details

AuthorMartin A. Stoffel [aut, cre], Shinichi Nakagawa [aut], Holger Schielzeth [aut]
MaintainerMartin A. Stoffel <martin.adam.stoffel@gmail.com>
LicenseGPL (>= 2)
Version0.9.2
URL https://github.com/mastoffel/partR2
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("partR2")

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partR2 documentation built on May 29, 2024, 2:29 a.m.