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.
backports, dplyr, generics (>= 0.0.2), methods, nlme, purrr,
reshape2, stringr, tibble, tidyr
David Robinson [aut],
Alex Hayes [aut, cre] (<https://orcid.org/0000-0002-4985-5160>),
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]

AER, akima, AUC, bbmle, betareg, biglm, binGroup, boot, brms,
btergm, car, caret, coda, covr, e1071, emmeans, ergm, gam (>=
1.15), gamlss, gamlss.data, gamlss.dist, geepack, ggplot2,
glmnet, gmm, Hmisc, irlba, 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

AER, akima, AUC, bbmle, betareg, biglm, binGroup, boot, brms,
btergm, car, caret, coda, covr, e1071, emmeans, ergm, gam (>=
1.15), gamlss, gamlss.data, gamlss.dist, geepack, ggplot2,
glmnet, gmm, Hmisc, irlba, 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, rsample, rstan, rstanarm, sp, speedglm,
statnet.common, survey, survival, testthat, tseries, xergm, zoo