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).
- Version0.9.2
- R version≥ 3.5.0
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- partR2 citation info
- Last release03/04/2024
Documentation
Team
Martin A. Stoffel
Shinichi Nakagawa
Show author detailsRolesAuthorHolger Schielzeth
Show author detailsRolesAuthor
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- Depends1 package
- Imports10 packages
- Suggests7 packages