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.

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Description file content

Type
Package
Package
broom
Title
Convert Statistical Analysis Objects into Tidy Tibbles
Version
0.5.1
Description
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.
License
MIT + file LICENSE
URL
BugReports
http://github.com/tidyverse/broom/issues
Depends
R (>= 3.1)
Imports
backports, dplyr, generics (>= 0.0.2), 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.data, 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
VignetteBuilder
knitr
LazyData
true
RoxygenNote
6.1.1
NeedsCompilation
no
Packaged
2018-12-05 03:28:44 UTC; alex
Author
David Robinson [aut], Alex Hayes [aut, cre] (), 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
Alex Hayes
Repository
CRAN
Date/Publication
2018-12-05 10:10:07 UTC

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