CRAN/E | glmm.hp

glmm.hp

Hierarchical Partitioning of Marginal R2 for Generalized Mixed-Effect Models

Installation

About

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)1302-1307doi:10.1093/jpe/rtac096.

Citation glmm.hp citation info
github.com/laijiangshan/glmm.hp

Key Metrics

Version 0.1-2
R ≥ 3.4.0
Published 2024-01-08 81 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks glmm.hp results

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Maintainer

Maintainer

Jiangshan Lai

lai@njfu.edu.cn

Authors

Jiangshan Lai

aut / cre

Kim Nimon

aut

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

glmm.hp archive

Depends

R ≥ 3.4.0
MuMIn
ggplot2
vegan

Imports

lme4