Scalable Bayesian Rule Lists Model R package sbrl version 1.4 An efficient implementation of Scalable Bayesian Rule Lists Algorithm, a competitor algorithm for decision tree algorithms; see Hongyu Yang, Cynthia Rudin, Margo Seltzer (2017) <https://proceedings.mlr.press/v70/yang17h.html>. It builds from pre-mined association rules and have a logical structure identical to a decision list or one-sided decision tree. Fully optimized over rule lists, this algorithm strikes practical balance between accuracy, interpretability, and computational speed. Software Imports: Rcpp (>= 0.12.4), arules, methods LinkingTo: Rcpp Hongyu Yang <edwardyhy1@gmail.com> Comprehensive R Archive Network (CRAN) Hongyu Yang [aut, cre], Morris Chen [ctb], Cynthia Rudin [aut, ctb], Margo Seltzer [aut, ctb], The President and Fellows of Harvard College [cph] GPL (>= 2) 2024-04-08 application/tgz https://CRAN.R-project.org/package=sbrl doi:10.32614/CRAN.package.sbrl