broom.mixed: Tidying Methods for Mixed Models

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.

Version: 0.2.3
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
Published: 2018-10-21
Author: Ben Bolker ORCID iD [aut, cre], David Robinson [aut], Dieter Menne [ctb], Jonah Gabry [ctb], Paul Buerkner [ctb], Christopher Hua [ctb], Will Petry [ctb], Josh Wiley [ctb], Patrick Kennedy [ctb]
Maintainer: Ben Bolker <bolker at>
License: GPL-3
NeedsCompilation: no
Materials: NEWS
CRAN checks: broom.mixed results


Reference manual: broom.mixed.pdf
Vignettes: introduction to broom.mixed
Package source: broom.mixed_0.2.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel: not available
OS X binaries: r-release: broom.mixed_0.2.3.tgz, r-oldrel: not available
Old sources: broom.mixed archive

Reverse dependencies:

Reverse imports: ggstatsplot, groupedstats


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