## Introduction

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.

## Installation

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

install.packages("rules")

Install the development version from GitHub with:

# install.packages("devtools")
devtools::install_github("tidymodels/rules")

## Contributing

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