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glmm.hp: Hierarchical Partitioning of Marginal R2 for GeneralizedMixed-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:1.0-0
Depends:R (≥ 3.4.0),MuMIn,ggplot2,vegan
Imports:lme4
Published:2025-10-08
DOI:10.32614/CRAN.package.glmm.hp
Author:Jiangshan LaiORCID iD [aut, cre], Kim Nimon [aut], Yao Liu [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.html ,glmm.hp.pdf

Downloads:

Package source: glmm.hp_1.0-0.tar.gz
Windows binaries: r-devel:glmm.hp_1.0-0.zip, r-release:glmm.hp_1.0-0.zip, r-oldrel:glmm.hp_1.0-0.zip
macOS binaries: r-release (arm64):glmm.hp_1.0-0.tgz, r-oldrel (arm64):glmm.hp_1.0-0.tgz, r-release (x86_64):glmm.hp_1.0-0.tgz, r-oldrel (x86_64):glmm.hp_1.0-0.tgz
Old sources: glmm.hp archive

Reverse dependencies:

Reverse imports:upset.hp

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=glmm.hpto link to this page.


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