glmm.hp: Hierarchical Partitioning of Marginal R2 for Generalized Mixed-Effect Models
Conducts hierarchical partitioning to calculate individual contributions of each predictor (fixed effects) towards marginal R2 for generalized linear mixed-effect model (including lm, glm and glmm) based on output of r.squaredGLMM() in 'MuMIn', applying the algorithm of Lai J.,Zou Y., Zhang S.,Zhang X.,Mao L.(2022)glmm.hp: an R package for computing individual effect of predictors in generalized linear mixed models.Journal of Plant Ecology,15(6)1302-1307<doi:10.1093/jpe/rtac096>.
| Version: | 0.1-7 |
| Depends: | R (≥ 3.4.0), MuMIn, ggplot2, vegan |
| Imports: | lme4 |
| Published: | 2024-12-10 |
| DOI: | 10.32614/CRAN.package.glmm.hp |
| Author: | Jiangshan Lai 
[aut, cre],
Kim Nimon [aut] |
| Maintainer: | Jiangshan Lai <lai at njfu.edu.cn> |
| License: | GPL-2 | GPL-3 [expanded from: GPL] |
| URL: | https://github.com/laijiangshan/glmm.hp |
| NeedsCompilation: | no |
| Citation: | glmm.hp citation info |
| CRAN checks: | glmm.hp results |
Documentation:
| Reference manual: | glmm.hp.pdf |
Downloads:
| Package source: | glmm.hp_0.1-7.tar.gz |
| Windows binaries: | r-devel: glmm.hp_0.1-7.zip, r-release: glmm.hp_0.1-7.zip, r-oldrel: glmm.hp_0.1-7.zip |
| macOS binaries: | r-release (arm64): glmm.hp_0.1-7.tgz, r-oldrel (arm64): glmm.hp_0.1-7.tgz, r-release (x86_64): glmm.hp_0.1-7.tgz, r-oldrel (x86_64): glmm.hp_0.1-7.tgz |
| Old sources: | glmm.hp archive |
Linking:
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