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glmm.hp  

Hierarchical Partitioning of Marginal R2 for Generalized Mixed-Effect Models
View on CRAN: Click here


Download and install glmm.hp package within the R console
Install from CRAN:
install.packages("glmm.hp")

Install from Github:
library("remotes")
install_github("cran/glmm.hp")

Install by package version:
library("remotes")
install_version("glmm.hp", "0.1-2")



Attach the package and use:
library("glmm.hp")
Maintained by
Jiangshan Lai
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-01-24
Latest Update: 2023-05-23
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.
How to cite:
Jiangshan Lai (2022). glmm.hp: Hierarchical Partitioning of Marginal R2 for Generalized Mixed-Effect Models. R package version 0.1-2, https://cran.r-project.org/web/packages/glmm.hp
Previous versions and publish date:
0.0-1 (2022-01-24 21:22), 0.0-2 (2022-02-08 00:30), 0.0-3 (2022-04-17 18:42), 0.0-4 (2022-05-01 17:40), 0.0-5 (2022-07-18 11:20), 0.0-6 (2022-12-16 11:10), 0.0-7 (2023-03-05 14:00), 0.0-8 (2023-04-11 10:20), 0.0-9 (2023-04-12 17:10), 0.1-0 (2023-05-23 04:50), 0.1-1 (2023-12-19 16:20), 0.1-2 (2024-01-08 21:10)
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Functions, R codes and Examples using the glmm.hp R package
Some associated functions: creatbin . genList . glmm.hp . odd . plot.glmmhp . 
Some associated R codes: Full glmm.hp package functions and examples
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