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.
Package details 


Maintainer  David Robinson <[email protected]> 
License  MIT + file LICENSE 
Version  0.5.1.9000 
URL  http://github.com/tidymodels/broom 
Package repository  View on GitHub 
Installation 
Install the latest version of this package by entering the following in R:

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