glmm.hp

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Hierarchical partitioning for Marginal R2 for Generalized Mixed-effect Models

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glmm.hp is an R package for Hierarchical partitioning for Marginal R2 for Generalized Mixed-effect Models, to install it, please use the following command in R:

library(devtools)

install_github('laijiangshan/glmm.hp',build_vignettes = TRUE)

#If you haven't had devtools installed, please install it by typing "install.packages("devtools")" in R console.
The article describing the package is officially published on Journal of Plant Ecology. https://academic.oup.com/jpe/article/15/6/1302/6845730   
please cite papers if you use glmm.hp package as:
1. Jiangshan Lai*, Yi Zou, Shuang Zhang, Xiaoguang Zhang. Lingfeng Mao.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.
2. Jiangshan Lai*, Weijie Zhu, Dongfang, Cui, Lingfeng Mao. 2023. Extension of the glmm.hp Package to Zero-Inflated Generalized Linear Mixed Models and Multiple Regression. Journal of Plant Ecology 16(6):rtad038, https://doi.org/10.1093/jpe/rtad038

Please feel free to send an email to the package maintainer Dr. Jiangshan Lai (lai@njfu.edu.cn) if you have any question or comments about this package.

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