rules is a “parsnip-adjacent” package with model definitions for different rule-based models, including:

  • cubist models that have discrete rule sets that contain linear models with an ensemble method similar to boosting
  • classification rules where a ruleset is derived from an initial tree fit
  • rule-fit models that begin with rules extracted from a tree ensemble which are then added to a regularized linear or logistic regression.


You can install the released version of rules from CRAN with:

Install the development version from GitHub with:

# install.packages("devtools")


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