README.md

In laijiangshan/glmm.hp: Hierarchical Partitioning of Marginal R2 for Generalized Mixed-Effect Models

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 ([e-mail]) if you have any question or comments about this package.

laijiangshan/glmm.hp documentation built on Dec. 15, 2024, 4:31 p.m.