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.


Reference manual

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0.2.4 by Ben Bolker, a year ago


Report a bug at http://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]

Documentation:   PDF Manual  

GPL-3 license

Imports broom, dplyr, tidyr, plyr, purrr, tibble, reshape2, nlme, methods, stringr, coda, TMB

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

Imported by broomExtra, gtsummary.

Suggested by glmmTMB, huxtable, jtools, nlmixr.

See at CRAN