tidyrules package provides a framework to work with decision
rules. Rules can be extracted from supported models using tidy, augmented
using validation data by augment, manipulated using
standard dataframe operations, (modified) rulelists can be used to
predict on unseen (test) data. Utilities include:
Create a rulelist manually (as_rulelist), Export
a rulelist to SQL (to_sql_case) and so on. The package offers two
classes; rulelist and ruleset based on dataframe.