Package: broom.mixed 0.2.9.7

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.

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], Indrajeet Patil [ctb], Vincent Arel-Bundock [ctb], Bill Denney [ctb], Cory Brunson [ctb], Joe Wasserman [ctb], Alexey Stukalov [ctb], Matthieu Bruneaux [ctb]

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NEWS

# Install 'broom.mixed' in R:
install.packages('broom.mixed', repos = c('https://bbolker.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/bbolker/broom.mixed/issues

On CRAN:

Conda:

15.22 score 230 stars 37 packages 4.0k scripts 36k downloads 39 mentions 8 exports 34 dependencies

Last updated 10 hours agofrom:c04a7e6a77. Checks:4 OK, 2 NOTE, 3 ERROR. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 24 2025
R-4.5-winNOTEMar 24 2025
R-4.5-macERRORMar 24 2025
R-4.5-linuxNOTEMar 24 2025
R-4.4-winOKMar 24 2025
R-4.4-macERRORMar 24 2025
R-4.4-linuxOKMar 24 2025
R-4.3-winOKMar 24 2025
R-4.3-macERRORMar 24 2025

Exports:augmentget_methodsglanceparamNamesMCMCglmmranefLevelsstdraneftidytidyMCMC

Dependencies:backportsbroomclicodacodetoolscpp11digestdplyrfansiforcatsfurrrfuturegenericsglobalsgluelatticelifecyclelistenvmagrittrnlmeparallellypillarpkgconfigpurrrR6rlangstringistringrtibbletidyrtidyselectutf8vctrswithr

Introduction to broom.mixed

Ben Bolker

Rendered frombroom_mixed_intro.rmdusingknitr::rmarkdownon Mar 24 2025.

Last update: 2024-10-13
Started: 2018-10-14

Readme and manuals

Help Manual

Help pageTopics
name ordinal_tidiersaugment.clmm
Augmentation for random effects (for caterpillar plots etc.)augment.ranef.mer
Tidying methods for a brms modelaugment.brmsfit brms_tidiers glance.brmsfit tidy.brmsfit
Remove NULL items in a vector or listcompact
Extract fixed effects from an 'MCMCglmm' objectfixef.MCMCglmm
Tidying methods for gamlss objectsgamlss_tidiers tidy.gamlss
Retrieve all method/class combinations currently provided by the broom.mixed packageget_methods
Tidying methods for glmmADMB modelsaugment.glmmadmb glance.glmmadmb glmmADMB_tidiers glmmadmb_tidiers tidy.glmmadmb
Tidying methods for glmmTMB modelsaugment.glmmTMB glance.glmmTMB glmmTMB_tidiers tidy.glmmTMB
insert a row of NAs into a data frame wherever another data frame has NAsinsert_NAs
Tidying methods for mixed effects modelsaugment.merMod glance.allFit glance.merMod lme4_tidiers tidy.allFit tidy.merMod tidy.rlmerMod
Tidying methods for mediation analyses involving mixed effects modelsmediation_tidiers tidy.mediate.mer
Tidying methods for mixed effects modelsaugment.gls augment.lme glance.lme nlme_tidiers tidy.gls tidy.lme
Extract random effects from an 'MCMCglmm' objectranef.MCMCglmm
Extract the levels of factors used for random effects in 'MCMCglmm' objectsranefLevels
Tidying methods for an rstanarm modelglance.stanreg rstanarm_tidiers tidy.stanreg
Extract standard deviation of "random" effects from an 'MCMCglmm' objectstdranef
Tidying methods for lqmm models (EXPERIMENTAL)glance.lqmm tidy.lqmm
Tidying methods for MCMC (Stan, JAGS, etc.) fitsmcmc_tidiers tidy.mcmc tidy.mcmc.list tidy.MCMCglmm tidy.rjags tidy.stanfit tidyMCMC
Tidying methods for TMB modelstidy.TMB
Tidying VarCorr of Mixed Effect Modelstidy.VarCorr.lme
Tidy variance structure for the 'nlme' package.tidy.varComb tidy.varFunc
strip rownames from an objectunrowname