DESCRIPTION

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: MIT + file LICENSE
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