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glmm.hp (version 0.1-4)

Hierarchical Partitioning of Marginal R2 for Generalized Mixed-Effect Models

Description

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.

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install.packages('glmm.hp')

Monthly Downloads

761

Version

0.1-4

License

GPL

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Maintainer

Jiangshan Lai

Last Published

August 24th, 2024

Functions in glmm.hp (0.1-4)

odd

Internal function for glmm.hp() to determine whether the odd number
genList

Internal function for glmm.hp()
plot.glmmhp

Plot for a glmm.hp object
glmm.hp

Hierarchical Partitioning of Marginal R2 for Generalized Mixed-Effect Models
creatbin

Internal function for glmm.hp() to create diagonal matrix