DESCRIPTION

Package: xrf
Title: eXtreme RuleFit
Version: 0.3.1
Authors@R: 
    person("Karl", "Holub", , "karljholub@gmail.com", role = c("aut", "cre"))
Description: An implementation of the RuleFit algorithm as described in
    Friedman & Popescu (2008) <doi:10.1214/07-AOAS148>. eXtreme Gradient
    Boosting ('XGBoost') is used to build rules, and 'glmnet' is used to
    fit a sparse linear model on the raw and rule features. The result is
    a model that learns similarly to a tree ensemble, while often offering
    improved interpretability and achieving improved scoring runtime in
    live applications. Several algorithms for reducing rule complexity are
    provided, most notably hyperrectangle de-overlapping. All algorithms
    scale to several million rows and support sparse representations to
    handle tens of thousands of dimensions.
License: MIT + file LICENSE
URL: https://github.com/holub008/xrf
BugReports: https://github.com/holub008/xrf/issues
Depends: 
    R (>= 4.3.0)
Imports: 
    cli,
    dplyr,
    glmnet (>= 3.0),
    Matrix,
    methods,
    rlang,
    xgboost (>= 3.1.2.1)
Suggests: 
    covr,
    testthat (>= 3.0.0)
Config/testthat/edition: 3
Encoding: UTF-8
RoxygenNote: 7.3.3