Package: glmm.hp 0.1-7

Jiangshan Lai

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>.

Authors:Jiangshan Lai [aut, cre], Kim Nimon [aut]

glmm.hp_0.1-7.tar.gz
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glmm.hp.pdf |glmm.hp.html✨
glmm.hp/json (API)

# Install 'glmm.hp' in R:
install.packages('glmm.hp', repos = c('https://laijiangshan.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/laijiangshan/glmm.hp/issues

On CRAN:

Conda:

5.40 score 7 stars 11 scripts 1.1k downloads 32 mentions 5 exports 42 dependencies

Last updated 4 months agofrom:7291a035e7. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 10 2025
R-4.5-winOKMar 10 2025
R-4.5-macOKMar 10 2025
R-4.5-linuxOKMar 10 2025
R-4.4-winOKMar 10 2025
R-4.4-macOKMar 10 2025
R-4.4-linuxOKMar 10 2025
R-4.3-winOKMar 10 2025
R-4.3-macOKMar 10 2025

Exports:creatbingenListglmm.hpoddplot.glmmhp

Dependencies:bootcliclustercolorspacefansifarverggplot2gluegtableinsightisobandlabelinglatticelifecyclelme4magrittrMASSMatrixmgcvminqaMuMInmunsellnlmenloptrpermutepillarpkgconfigR6rbibutilsRColorBrewerRcppRcppEigenRdpackreformulasrlangscalestibbleutf8vctrsveganviridisLitewithr