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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 |
| Reference manual: | sbrl.pdf |
| Package source: | sbrl_1.4.tar.gz |
| Windows binaries: | r-devel: sbrl_1.4.zip, r-release: sbrl_1.4.zip, r-oldrel: sbrl_1.4.zip |
| macOS binaries: | r-release (arm64): sbrl_1.4.tgz, r-oldrel (arm64): sbrl_1.4.tgz, r-release (x86_64): sbrl_1.4.tgz, r-oldrel (x86_64): sbrl_1.4.tgz |
| Old sources: | sbrl archive |
| Reverse suggests: | qCBA |
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