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:	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 Lai [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 form https://CRAN.R-project.org/package=glmm.hp to link to this page.