Skip to content


rules is a parsnip extension package with model definitions for 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("pak")

Available Engines

The rules package provides engines for the models in the following table.

model engine mode
C5_rules C5.0 classification
cubist_rules Cubist regression
rule_fit xrf classification
rule_fit xrf regression


This project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.