qCBA: Postprocessing of Rule Classification Models Learnt on Quantized Data

Implements the Quantitative Classification-based on Association Rules (QCBA) algorithm (<doi:10.1007/s10489-022-04370-x>). QCBA postprocesses rule classification models making them typically smaller and in some cases more accurate. Supported are 'CBA' implementations from 'rCBA', 'arulesCBA' and 'arc' packages, and 'CPAR', 'CMAR', 'FOIL2' and 'PRM' implementations from 'arulesCBA' package and 'SBRL' implementation from the 'sbrl' package. The result of the post-processing is an ordered CBA-like rule list.

Version:	1.0.2
Depends:	R (≥ 2.7.0), arules (≥ 1.7-4), rJava (≥ 0.5-0), arulesCBA (≥ 1.2.5), arc (≥ 1.3), methods
Suggests:	rCBA (≥ 0.3.0), sbrl (≥ 1.4.0)
Published:	2025-04-03
DOI:	10.32614/CRAN.package.qCBA
Author:	Tomáš Kliegr [aut, cre]
Maintainer:	Tomáš Kliegr <kliegr at gmail.com>
BugReports:	https://github.com/kliegr/QCBA/issues
License:	GPL-3
URL:	https://github.com/kliegr/QCBA
NeedsCompilation:	no
SystemRequirements:	Java (>= 8)
Materials:	NEWS
CRAN checks:	qCBA results

Documentation:

Reference manual:

qCBA.html , qCBA.pdf

Downloads:

Package source:	qCBA_1.0.2.tar.gz
Windows binaries:	r-devel: qCBA_1.0.2.zip, r-release: qCBA_1.0.2.zip, r-oldrel: qCBA_1.0.2.zip
macOS binaries:	r-release (arm64): qCBA_1.0.2.tgz, r-oldrel (arm64): qCBA_1.0.2.tgz, r-release (x86_64): qCBA_1.0.2.tgz, r-oldrel (x86_64): qCBA_1.0.2.tgz
Old sources:	qCBA archive

Reverse dependencies:

Reverse suggests:

arc

Linking:

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