Convert Statistical 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.
backports, cli, dplyr (>= 1.0.0), generics (>= 0.0.2), glue,
lifecycle, purrr, rlang (>= 1.1.0), stringr, tibble (>= 3.0.0),
tidyr (>= 1.0.0)
AER, AUC, bbmle, betareg (>= 3.2-1), biglm, binGroup, boot,
btergm (>= 1.10.6), car (>= 3.1-2), carData, caret, cluster,
cmprsk, coda, covr, drc, e1071, emmeans, epiR (>= 2.0.85), ergm
(>= 3.10.4), fixest (>= 0.9.0), gam (>= 1.15), gee, geepack,
ggplot2, glmnet, glmnetUtils, gmm, Hmisc, interp, irlba,
joineRML, Kendall, knitr, ks, Lahman, lavaan (>= 0.6.18),
leaps, lfe, lm.beta, lme4, lmodel2, lmtest (>= 0.9.38),
lsmeans, maps, margins, MASS, mclust, mediation, metafor, mfx,
mgcv, mlogit, modeldata, modeltests (>= 0.1.6), muhaz,
multcomp, network, nnet, ordinal, plm, poLCA, psych, quantreg,
rmarkdown, robust, robustbase, rsample, sandwich, spatialreg,
spdep (>= 1.1), speedglm, spelling, stats4, survey, survival
(>= 3.6-4), systemfit, testthat (>= 3.0.0), tseries, vars, zoo
'aaa-documentation-helper.R' 'null-and-default.R' 'aer.R'
'auc.R' 'base.R' 'bbmle.R' 'betareg.R' 'biglm.R' 'bingroup.R'
'boot.R' 'broom-package.R' 'broom.R' 'btergm.R' 'car.R'
'caret.R' 'cluster.R' 'cmprsk.R' 'data-frame.R'
'deprecated-0-7-0.R' 'drc.R' 'emmeans.R' 'epiR.R' 'ergm.R'
'fixest.R' 'gam.R' 'geepack.R' 'glmnet-cv-glmnet.R'
'glmnet-glmnet.R' 'gmm.R' 'hmisc.R'
'import-standalone-obj-type.R'
'import-standalone-types-check.R' 'joinerml.R' 'kendall.R'
'ks.R' 'lavaan.R' 'leaps.R' 'lfe.R' 'list-irlba.R'
'list-optim.R' 'list-svd.R' 'list-xyz.R' 'list.R' 'lm-beta.R'
'lmodel2.R' 'lmtest.R' 'maps.R' 'margins.R' 'mass-fitdistr.R'
'mass-negbin.R' 'mass-polr.R' 'mass-ridgelm.R' 'stats-lm.R'
'mass-rlm.R' 'mclust.R' 'mediation.R' 'metafor.R' 'mfx.R'
'mgcv.R' 'mlogit.R' 'muhaz.R' 'multcomp.R' 'nnet.R' 'nobs.R'
'ordinal-clm.R' 'ordinal-clmm.R' 'plm.R' 'polca.R' 'psych.R'
'stats-nls.R' 'quantreg-nlrq.R' 'quantreg-rq.R'
'quantreg-rqs.R' 'robust-glmrob.R' 'robust-lmrob.R'
'robustbase-glmrob.R' 'robustbase-lmrob.R' 'sp.R' 'spdep.R'
'speedglm-speedglm.R' 'speedglm-speedlm.R' 'stats-anova.R'
'stats-arima.R' 'stats-decompose.R' 'stats-factanal.R'
'stats-glm.R' 'stats-htest.R' 'stats-kmeans.R' 'stats-loess.R'
'stats-mlm.R' 'stats-prcomp.R' 'stats-smooth.spline.R'
'stats-summary-lm.R' 'stats-time-series.R' 'survey.R'
'survival-aareg.R' 'survival-cch.R' 'survival-coxph.R'
'survival-pyears.R' 'survival-survdiff.R' 'survival-survexp.R'
'survival-survfit.R' 'survival-survreg.R' 'systemfit.R'
'tseries.R' 'utilities.R' 'vars.R' 'zoo.R' 'zzz.R'