glmm.hp

cranv1.0-0

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

License GPLstrong copyleft0 versions1 maintainers4 deps251 weekly dl
laijiangshan/glmm.hp
40
/ 100
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safe to use

[email protected] is safe to use (health: 40/100)

Health breakdown0 – 100
10/25
maintenance
3/20
popularity
25/25
security
0/15
maturity
2/15
community
Vulnerabilities
0
none known

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First published · 2025-10-08 08:55:57

Last updated · 2025-10-08T07:10:02+00:00

glmm.hp — Health Score 40/100 | DepScope