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)1302-1307doi:10.1093/jpe/rtac096.
- Version0.1-6
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- glmm.hp citation info
- Last release10/26/2024
Team
Jiangshan Lai
Kim Nimon
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- Depends3 packages
- Imports1 package