broom: Convert Statistical Analysis Objects into Tidy Tibbles

Summarizes key information about statistical objects in tidy tibbles. This makes it easy to report results, create plots and consistently work with large numbers of models at once. Broom provides three verbs that each provide different types of information about a model. tidy() summarizes information about model components such as coefficients of a regression. glance() reports information about an entire model, such as goodness of fit measures like AIC and BIC. augment() adds information about individual observations to a dataset, such as fitted values or influence measures.

Version: 0.5.0
Depends: R (≥ 3.1)
Imports: backports, dplyr, methods, nlme, purrr, reshape2, stringr, tibble, tidyr
Suggests: AER, akima, AUC, bbmle, betareg, biglm, binGroup, boot, brms, btergm, car, caret, coda, covr, e1071, emmeans, ergm, gam (≥ 1.15), gamlss,, gamlss.dist, geepack, ggplot2, glmnet, gmm, Hmisc, irlba, joineRML, Kendall, knitr, ks, Lahman, lavaan, lfe, lme4, lmodel2, lmtest, lsmeans, maps, maptools, MASS, Matrix, mclust, mgcv, muhaz, multcomp, network, nnet, orcutt (≥ 2.2), ordinal, plm, plyr, poLCA, psych, quantreg, rgeos, rmarkdown, robust, rsample, rstan, rstanarm, sp, speedglm, statnet.common, survey, survival, testthat, tseries, xergm, zoo
Published: 2018-07-17
Author: David Robinson [aut, cre], Alex Hayes [aut], Matthieu Gomez [ctb], Boris Demeshev [ctb], Dieter Menne [ctb], Benjamin Nutter [ctb], Luke Johnston [ctb], Ben Bolker [ctb], Francois Briatte [ctb], Jeffrey Arnold [ctb], Jonah Gabry [ctb], Luciano Selzer [ctb], Gavin Simpson [ctb], Jens Preussner [ctb], Jay Hesselberth [ctb], Hadley Wickham [ctb], Matthew Lincoln [ctb], Alessandro Gasparini [ctb], Lukasz Komsta [ctb], Frederick Novometsky [ctb], Wilson Freitas [ctb], Michelle Evans [ctb], Jason Cory Brunson [ctb], Simon Jackson [ctb], Ben Whalley [ctb], Michael Kuehn [ctb], Jorge Cimentada [ctb], Erle Holgersen [ctb], Karl Dunkle Werner [ctb]
Maintainer: David Robinson <admiral.david at>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README NEWS
CRAN checks: broom results


Reference manual: broom.pdf
Vignettes: Adding tidiers to broom
Available methods
Tidy bootstrapping
Introduction to broom
broom and dplyr
Glossary of ouput columns and tidier arguments
kmeans with dplyr and broom
Package source: broom_0.5.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: broom_0.5.0.tgz, r-oldrel: broom_0.4.5.tgz
Old sources: broom archive

Reverse dependencies:

Reverse depends: nlshelper, recipes, rsample, tidyposterior, yardstick
Reverse imports: amt, apaTables, AutoModel, breathtestcore, catenary, cdom, DeLorean, disto, DLMtool, dotwhisker, enviGCMS, ERSA, eurostat, eyetrackingR, finalfit, forestmodel, germinationmetrics, ggpmisc, ggstatsplot, glmmfields, groupedstats, healthcareai, highcharter, konfound, mason, merTools, mice, modelr, moderndive, mosaic, NetworkExtinction, nlstimedist, pcr, perccalc, pixiedust, psycho,, simglm, SimplifyStats, sjlabelled, sjmisc, sjPlot, sjstats, sparklyr, statsr, StroupGLMM, survminer, survutils, sweep, SWMPrExtension, tadaatoolbox, temperatureresponse, tidytext, tidyverse, tipr, TSS.RESTREND, valr, vdmR, widyr
Reverse suggests: agridat, arsenal, autoimage, ciTools, crawl, eechidna, fivethirtyeight, GGally, ggformula, ggsn, groupdata2, huxtable, infer, jtools, lspline, lucid, macleish, MARSS, miceFast, nls.multstart, plotly, simTool, spbabel, survivALL, tibbletime, tidyquant, timetk
Reverse enhances: estimatr


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