Package: broom.mixed
Type: Package
Title: Tidying Methods for Mixed Models
Version: 0.2.3
Authors@R: c(
    person("Ben", "Bolker", email = "bolker@mcmaster.ca",
        role = c("aut", "cre"),
        comment=c(ORCID="0000-0002-2127-0443")),
    person("David", "Robinson", email = "admiral.david@gmail.com",
    	role = "aut"),
    person("Dieter", "Menne", role = "ctb"),
    person("Jonah", "Gabry", role = "ctb"),
    person("Paul", "Buerkner", role = "ctb"),
    person("Christopher", "Hua", role = "ctb"),
    person("Will", "Petry", role = "ctb"),
    person("Josh", "Wiley", role = "ctb"),
    person("Patrick", "Kennedy", role = "ctb")
    )
Maintainer: Ben Bolker <bolker@mcmaster.ca>
Description: Convert fitted objects from various R mixed-model packages
    into tidy data frames along the lines of the 'broom' package.
    The package provides three
    S3 generics for each model: tidy(), which summarizes a model's statistical findings such as
    coefficients of a regression; augment(), which adds columns to the original
    data such as predictions, residuals and cluster assignments; and glance(), which
    provides a one-row summary of model-level statistics.
Depends: R (>= 3.5.0)
Imports: broom, dplyr, tidyr, plyr, purrr, tibble, reshape2, nlme,
        methods, stringr, coda, glmmTMB, TMB
Suggests: knitr, testthat, ggplot2, Matrix, MCMCglmm, lme4, rstan,
        rstanarm, brms, mgcv, gamlss, lmerTest, glmmADMB, dotwhisker,
        pander
URL: http://github.com/bbolker/broom.mixed
BugReports: http://github.com/bbolker/broom.mixed/issues
License: GPL-3
RoxygenNote: 6.1.0
Encoding: UTF-8
Additional_repositories: http://bbolker.github.io/drat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-10-21 18:43:06 UTC; bolker
Author: Ben Bolker [aut, cre] (<https://orcid.org/0000-0002-2127-0443>),
  David Robinson [aut],
  Dieter Menne [ctb],
  Jonah Gabry [ctb],
  Paul Buerkner [ctb],
  Christopher Hua [ctb],
  Will Petry [ctb],
  Josh Wiley [ctb],
  Patrick Kennedy [ctb]
Repository: CRAN
Date/Publication: 2018-10-21 21:40:15 UTC
