There are many models to which you can fit your data, from classical statistical models to modern machine learning methods, and a thorough exploration of R packages that support this is well beyond the scope of this book. The main concern when choosing and fitting models is not the syntax, and this book is, after all, a syntax reference. We will look at two packages that aim at making a tidy interface to models.
The two packages, broom and modelr, are not loaded with tidyverse so you must load them individually.
library(broom)
library(modelr)
broom
When you fit a ...
