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RBBR: Regression-Based Boolean Rule Inference

Tools for regression-based Boolean rule inference in artificial intelligence studies. The package fits ridge regression models on conjunction expansions and composes interpretable rule sets. Parallel execution is supported for multi-CPU environments.

Version: 0.1.0
Depends: R (≥ 4.4)
Imports: doParallel, foreach, glmnet, parallel, stats, utils
Suggests: testthat
Published: 2026-02-17
DOI: 10.32614/CRAN.package.RBBR
Author: Seyed Amir Malekpour [aut, cre]
Maintainer: Seyed Amir Malekpour <a.malekpour at ipm.ir>
License: GPL-3
URL: https://github.com/CompBioIPM/RBBR
NeedsCompilation: no
Language: en-US
Materials: NEWS
CRAN checks: RBBR results

Documentation:

Reference manual: RBBR.html , RBBR.pdf

Downloads:

Package source: RBBR_0.1.0.tar.gz
Windows binaries: r-devel: RBBR_0.1.0.zip, r-release: RBBR_0.1.0.zip, r-oldrel: RBBR_0.1.0.zip
macOS binaries: r-release (arm64): RBBR_0.1.0.tgz, r-oldrel (arm64): RBBR_0.1.0.tgz, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

Please use the canonical form https://CRAN.R-project.org/package=RBBR to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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