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: |
0.2.6 |
Imports: |
broom, dplyr, tidyr, plyr, purrr, tibble, reshape2, nlme, methods, stringr, coda, TMB, cubelyr |
Suggests: |
knitr, testthat, ggplot2, Matrix, MCMCglmm, lme4, brms, mgcv, gamlss, gamlss.data, lmerTest, pbkrtest, glmmADMB, glmmTMB, dotwhisker, pander, R2jags, GLMMadaptive, rstan, rstanarm |
Published: |
2020-05-17 |
Author: |
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] |
Maintainer: |
Ben Bolker <bolker at mcmaster.ca> |
BugReports: |
http://github.com/bbolker/broom.mixed/issues |
License: |
GPL-3 |
URL: |
http://github.com/bbolker/broom.mixed |
NeedsCompilation: |
no |
Materials: |
NEWS |
CRAN checks: |
broom.mixed results |