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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).
Getting started
Browse package contents
Package details |
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| Author | Martin A. Stoffel [aut, cre], Shinichi Nakagawa [aut], Holger Schielzeth [aut] |
| Maintainer | Martin A. Stoffel <martin.adam.stoffel@gmail.com> |
| License | GPL (>= 2) |
| Version | 0.9.2 |
| URL | https://github.com/mastoffel/partR2 |
| Package repository | View on CRAN |
| Installation |
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