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).
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.9.2 |
rolling linux/jammy R-4.5 | partR2_0.9.2.tar.gz |
2.0 MiB |
0.9.2 |
rolling linux/noble R-4.5 | partR2_0.9.2.tar.gz |
2.0 MiB |
0.9.2 |
rolling source/ R- | partR2_0.9.2.tar.gz |
3.8 MiB |
0.9.2 |
latest linux/jammy R-4.5 | partR2_0.9.2.tar.gz |
2.0 MiB |
0.9.2 |
latest linux/noble R-4.5 | partR2_0.9.2.tar.gz |
2.0 MiB |
0.9.2 |
latest source/ R- | partR2_0.9.2.tar.gz |
3.8 MiB |
0.9.2 |
2026-04-26 source/ R- | partR2_0.9.2.tar.gz |
3.8 MiB |
0.9.2 |
2026-04-23 source/ R- | partR2_0.9.2.tar.gz |
3.8 MiB |
0.9.2 |
2026-04-09 windows/windows R-4.5 | partR2_0.9.2.zip |
2.0 MiB |
0.9.2 |
2025-04-20 source/ R- | partR2_0.9.2.tar.gz |
3.8 MiB |