qCBA: Quantitative Classification by Association Rules

CBA postprocessing algorithm that creates smaller models for datasets containing quantitative (numerical) attributes. Article describing QCBA is published in Tomas Kliegr (2017) <arXiv:1711.10166>.

Version: 0.4
Depends: R (≥ 2.7.0), arules, rJava (≥ 0.5-0), arc (≥ 1.1.2), methods
Suggests: arulesCBA (≥ 1.1.2), rCBA (≥ 0.3.0), sbrl, stringr
Published: 2020-01-15
Author: Tomas Kliegr
Maintainer: Tomas 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


Reference manual: qCBA.pdf
Package source: qCBA_0.4.tar.gz
Windows binaries: r-devel: qCBA_0.4.zip, r-devel-gcc8: qCBA_0.4.zip, r-release: qCBA_0.4.zip, r-oldrel: qCBA_0.4.zip
OS X binaries: r-release: qCBA_0.4.tgz, r-oldrel: qCBA_0.4.tgz
Old sources: qCBA archive

Reverse dependencies:

Reverse suggests: arc


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