The 'Certifiably Optimal RulE ListS (Corels)' learner by Angelino et al described in <doi:10.48550/arXiv.1704.01701> provides interpretable decision rules with an optimality guarantee, and is made available to R with this package. See the file 'AUTHORS' for a list of copyright holders and contributors.
Version: | 0.0.5 |
Imports: | Rcpp (≥ 1.0.2) |
LinkingTo: | Rcpp |
Published: | 2024-12-04 |
DOI: | 10.32614/CRAN.package.corels |
Author: | Dirk Eddelbuettel
[aut, cre],
Nicholas Larus-Stone [aut] (Corels C++ Library and paper),
Elaine Angelino [aut] (Corels C++ Library and paper),
Daniel Alabi [ctb] (Corels Paper),
Cynthia Rudin
[ctb] (Corels Paper),
Margo Seltzer
[ctb] (Corels Paper) corels author details |
Maintainer: | Dirk Eddelbuettel <edd at debian.org> |
BugReports: | https://github.com/corels/rcppcorels/issues |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: | https://github.com/corels/rcppcorels |
NeedsCompilation: | yes |
Materials: | README ChangeLog |
CRAN checks: | corels results |
Reference manual: | corels.pdf |
Package source: | corels_0.0.5.tar.gz |
Windows binaries: | r-devel: corels_0.0.5.zip, r-release: corels_0.0.5.zip, r-oldrel: corels_0.0.5.zip |
macOS binaries: | r-release (arm64): corels_0.0.5.tgz, r-oldrel (arm64): corels_0.0.5.tgz, r-release (x86_64): corels_0.0.5.tgz, r-oldrel (x86_64): corels_0.0.5.tgz |
Old sources: | corels archive |
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