tidymodels/broom: 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.

Getting started

Package details

MaintainerDavid Robinson <[email protected]>
LicenseMIT + file LICENSE
URL http://github.com/tidymodels/broom
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
tidymodels/broom documentation built on Aug. 16, 2018, 3:26 a.m.