Package: glmm.hp
Type: Package
Title: Hierarchical Partitioning of Marginal R2 for Generalized
        Mixed-Effect Models
Version: 0.0-3
Date: 2022-4-16
Depends: R (>= 3.4.0),MuMIn,ggplot2
Imports: lme4
Authors@R: c(person("Jiangshan", "Lai", , "lai@ibcas.ac.cn", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0002-0279-8816")),person("Kim", "Nimon", role="aut"))
Maintainer: Jiangshan Lai <lai@ibcas.ac.cn>
Description: Conducts hierarchical partitioning to calculate individual contributions of each fixed effects towards marginal R2 for generalized mixed-effect model based on output of r.squaredGLMM() in 'MuMIn', applying the algorithm of Lai J.,Zou Y., Zhang J.,Peres-Neto P.(2022) Generalizing hierarchical and variation partitioning in multiple regression and canonical analyses using the rdacca.hp R package.Methods in Ecology and Evolution,13:782-788<DOI:10.1111/2041-210X.13800>.
License: GPL
Encoding: UTF-8
URL: https://github.com/laijiangshan/glmm.hp
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2022-04-16 02:09:17 UTC; Thinkpad
Author: Jiangshan Lai [aut, cre] (<https://orcid.org/0000-0002-0279-8816>),
  Kim Nimon [aut]
Repository: CRAN
Date/Publication: 2022-04-17 16:42:29 UTC
