Package: glmm.hp
Type: Package
Title: Hierarchical Partitioning of Marginal R2 for Generalized
        Mixed-Effect Models
Version: 1.0-0
Date: 2025-10-8
Depends: R (>= 3.4.0),MuMIn,ggplot2,vegan
Imports: lme4
Authors@R: c(person("Jiangshan", "Lai", , "lai@njfu.edu.cn", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0002-0279-8816")),person("Kim", "Nimon", role="aut"),person("Yao", "Liu", role="aut"))
Maintainer: Jiangshan Lai <lai@njfu.edu.cn>
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<doi:10.1093/jpe/rtac096>.
License: GPL
Encoding: UTF-8
URL: https://github.com/laijiangshan/glmm.hp
RoxygenNote: 7.3.1
NeedsCompilation: no
Packaged: 2025-10-08 07:39:07 UTC; lai
Author: Jiangshan Lai [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-0279-8816>),
  Kim Nimon [aut],
  Yao Liu [aut]
Repository: CRAN
Date/Publication: 2025-10-08 08:10:02 UTC
Built: R 4.6.0; ; 2026-04-28 04:18:48 UTC; unix
