Package: partR2
Title: Partitioning R2 in GLMMs
Version: 0.9.2
Depends: R (>= 3.5.0)
Authors@R: 
    c(person(given = "Martin A.", 
            family = "Stoffel", 
            role = c("aut", "cre"), 
            email = "martin.adam.stoffel@gmail.com"),
      person(given = "Shinichi", 
             family = "Nakagawa", 
             role = c("aut"), 
             email = "s.nakagawa@unsw.edu.au"),
      person(given = "Holger", 
             family = "Schielzeth", 
             role = c("aut"),
             email = "holger.schielzeth@uni-jena.de"))
Description: Partitioning the R2 of GLMMs into variation explained by each 
    predictor and combination of predictors using semi-partial (part) R2 and
    inclusive R2. Methods are based on the R2 for GLMMs described in
    Nakagawa & Schielzeth (2013) and Nakagawa, Johnson & Schielzeth (2017).
License: GPL (>= 2)
URL: https://github.com/mastoffel/partR2
BugReports: https://github.com/mastoffel/partR2/issues
Imports: methods, stats, lme4 (>= 1.1-21), pbapply (>= 1.4-2), dplyr
        (>= 1.0.0), purrr (>= 0.3.3), rlang (>= 0.4.2), tibble (>=
        2.1.3), magrittr (>= 1.5), ggplot2 (>= 3.3.0), tidyr (>= 1.1)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.2.3
Suggests: testthat, future, furrr, knitr, rmarkdown, patchwork, covr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-03-04 13:03:24 UTC; mstoffel
Author: Martin A. Stoffel [aut, cre],
  Shinichi Nakagawa [aut],
  Holger Schielzeth [aut]
Maintainer: Martin A. Stoffel <martin.adam.stoffel@gmail.com>
Repository: CRAN
Date/Publication: 2024-03-04 13:20:02 UTC
Built: R 4.4.3; ; 2026-02-13 05:26:53 UTC; windows
