Package: sbrl
Type: Package
Title: Scalable Bayesian Rule Lists Model
Version: 1.4
Date: 2024-04-07
Authors@R: c(person("Hongyu", "Yang", role = c("aut", "cre"),
		     email = "edwardyhy1@gmail.com"),
	      person("Morris", "Chen", role = "ctb",
		     email = "Morris_CM_Chen@wistron.com"),
	      person("Cynthia", "Rudin", role = c("aut", "ctb"),
		     email = "rudin@cs.duke.edu"),
	      person("Margo", "Seltzer", role = c("aut", "ctb"),
		     email = "mseltzer@cs.ubc.ca"),
	      person("The President and Fellows of Harvard College",
                     role = c("cph")))
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@gmail.com>
Description: 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.
License: GPL (>= 2)
Imports: Rcpp (>= 0.12.4), arules, methods
RcppModules: sbrl
LinkingTo: Rcpp
NeedsCompilation: yes
LazyData: yes
SystemRequirements: gmp (>= 4.2.0), gsl
Packaged: 2024-04-08 07:56:33 UTC; hongyuy
Repository: CRAN
Date/Publication: 2024-04-08 11:50:02 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-27 12:33:06 UTC; unix
Archs: sbrl.so.dSYM
