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.