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.


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install.packages("broom.mixed")

0.2.7 by Ben Bolker, 5 months ago


https://github.com/bbolker/broom.mixed


Report a bug at https://github.com/bbolker/broom.mixed/issues


Browse source code at https://github.com/cran/broom.mixed


Authors: Ben Bolker [aut, cre] , David Robinson [aut] , Dieter Menne [ctb] , Jonah Gabry [ctb] , Paul Buerkner [ctb] , Christopher Hua [ctb] , William Petry [ctb] , Joshua Wiley [ctb] , Patrick Kennedy [ctb] , Eduard Szöcs [ctb] , BASF SE) , Indrajeet Patil [ctb] , Vincent Arel-Bundock [ctb]


Documentation:   PDF Manual  


GPL-3 license


Imports broom, coda, dplyr, methods, nlme, purrr, stringr, tibble, tidyr

Suggests brms, dotwhisker, knitr, testthat, gamlss, gamlss.data, ggplot2, GLMMadaptive, glmmADMB, glmmTMB, lmerTest, lme4, Matrix, MCMCglmm, mgcv, pander, pbkrtest, rstan, rstanarm, R2jags, TMB, rmarkdown


Imported by autostats, broomExtra, equatiomatic, eyetrackingR, glmmfields, hmi, konfound, merTools, stevemisc.

Suggested by broom.helpers, faux, ggpmisc, glmmTMB, gtsummary, huxtable, jtools, mice, modelsummary, nlmixr, panelr.


See at CRAN