person("Jeffrey", "Arnold", email = "jeffrey.arnold@gmail.com", role = "ctb"),
person("Jonah", "Gabry", email = "jsg2201@columbia.edu", role = "ctb"),
person("Luciano", "Selzer", email = "luciano.selzer@gmail.com", role = "ctb"),
person("Gavin", "Simpson", email = "ucfagls@gmail.com", role = "ctb"),
person("Jens", "Preussner", email = " jens.preussner@mpi-bn.mpg.de", role = "ctb"),
person("Jay", "Hesselberth", email = "jay.hesselberth@gmail.com", role = "ctb"),
with tools like 'dplyr', 'tidyr' and 'ggplot2'. The package provides three
S3 generics: tidy, which summarizes a model's statistical findings such as
data such as predictions, residuals and cluster assignments; and glance, which
provides a one-row summary of model-level statistics.
Imports: plyr, dplyr, tidyr, psych, stringr, reshape2, nlme, methods
rstan, rstanarm, coda, gmm, Matrix, ks, purrr, orcutt, mgcv,

Imports: dplyr, methods, nlme, plyr, psych, reshape2, stringr, tidyr
Suggests: AER, akima, AUC, bbmle, betareg, biglm, binGroup, boot, brms,
btergm, coda, covr, emmeans, ergm, gam, gamlss, gamlss.data,
gamlss.dist, geepack, ggplot2, glmnet, gmm, Hmisc, knitr, ks,
Lahman, lfe, lme4, lmodel2, lmtest, lsmeans, maps, maptools,
MASS, Matrix, mclust, mgcv, muhaz, multcomp, network, nnet,
orcutt, plm, poLCA, purrr, quantreg, rgeos, robust, rstan,
rstanarm, sp, speedglm, statnet.common, survival, testthat,

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
Imports: backports, dplyr, generics (>= 0.0.2), methods, nlme, purrr,