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CRAN: Package sbrl

sbrl: Scalable Bayesian Rule Lists Model

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.

Version: 1.4 Imports: Rcpp (≥ 0.12.4), arules, methods LinkingTo: Rcpp Published: 2024-04-08 DOI: 10.32614/CRAN.package.sbrl Author: Hongyu Yang [aut, cre], Morris Chen [ctb], Cynthia Rudin [aut, ctb], Margo Seltzer [aut, ctb], The President and Fellows of Harvard College [cph] Maintainer: Hongyu Yang <edwardyhy1 at gmail.com> License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] NeedsCompilation: yes SystemRequirements: gmp (>= 4.2.0), gsl CRAN checks: sbrl results Documentation: Downloads: Reverse dependencies: Linking:

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