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: 0.2.7
Imports: broom, coda, dplyr, methods, nlme, purrr, stringr, tibble, tidyr
Suggests: brms, dotwhisker, knitr, testthat, gamlss,, ggplot2, GLMMadaptive, glmmADMB, glmmTMB, lmerTest, lme4, Matrix, MCMCglmm, mgcv, pander, pbkrtest, rstan, rstanarm, R2jags, TMB, rmarkdown
Published: 2021-07-07
Author: Ben Bolker ORCID iD [aut, cre], David Robinson [aut], Dieter Menne [ctb], Jonah Gabry [ctb], Paul Buerkner [ctb], Christopher Hua [ctb], William Petry ORCID iD [ctb], Joshua Wiley ORCID iD [ctb], Patrick Kennedy [ctb], Eduard Szöcs ORCID iD [ctb] (BASF SE), Indrajeet Patil [ctb], Vincent Arel-Bundock ORCID iD [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_0.2.7.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): broom.mixed_0.2.7.tgz, r-release (x86_64): broom.mixed_0.2.7.tgz, r-oldrel: broom.mixed_0.2.7.tgz
Old sources: broom.mixed archive

Reverse dependencies:

Reverse imports: autostats, broomExtra, censcyt, equatiomatic, eyetrackingR, glmmfields, hmi, konfound, merTools, stevemisc
Reverse suggests: broom.helpers, CellaRepertorium, faux, ggpmisc, glmmTMB, gtsummary, huxtable, jtools, mice, midasHLA, modelsummary, nlmixr, panelr


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