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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)1302-1307<doi:10.1093/jpe/rtac096>.
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Package details |
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| Author | Jiangshan Lai [aut, cre] (<https://orcid.org/0000-0002-0279-8816>), Kim Nimon [aut] |
| Maintainer | Jiangshan Lai <lai@njfu.edu.cn> |
| License | GPL |
| Version | 0.1-6 |
| URL | https://github.com/laijiangshan/glmm.hp |
| Package repository | View on CRAN |
| Installation |
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