Package: broom.mixed 0.2.9.6

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'))

Peer review:

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

On CRAN:

8 exports 229 stars 14.92 score 34 dependencies 37 dependents 39 mentions 3.8k scripts 28.6k downloads

Last updated 2 hours agofrom:840276538a. Checks:OK: 2 ERROR: 2 NOTE: 3. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 14 2024
R-4.5-winNOTEOct 14 2024
R-4.5-linuxOKOct 14 2024
R-4.4-winNOTEOct 14 2024
R-4.4-macERROROct 14 2024
R-4.3-winNOTEOct 14 2024
R-4.3-macERROROct 14 2024

Exports:augmentget_methodsglanceparamNamesMCMCglmmranefLevelsstdraneftidytidyMCMC

Dependencies:backportsbroomclicodacodetoolscpp11digestdplyrfansiforcatsfurrrfuturegenericsglobalsgluelatticelifecyclelistenvmagrittrnlmeparallellypillarpkgconfigpurrrR6rlangstringistringrtibbletidyrtidyselectutf8vctrswithr

Introduction to broom.mixed

Ben Bolker

Rendered frombroom_mixed_intro.rmdusingknitr::rmarkdownon Oct 14 2024.

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
Tidy variance structure for the 'nlme' package.tidy.varComb tidy.varFunc
strip rownames from an objectunrowname