arc: Association Rule Classification

Implements the Classification-based on Association Rules (CBA) algorithm for association rule classification (ARC). The package also contains several convenience methods that allow to automatically set CBA parameters (minimum confidence, minimum support) and it also natively handles numeric attributes by integrating a pre-discretization step. The rule generation phase is handled by the 'arules' package.

Version: 1.1.3
Depends: R (≥ 3.2.3), arules (≥ 1.5-0), R.utils, discretization
Imports: Matrix, methods, datasets
Published: 2017-11-15
Author: Tomas Kliegr [aut, cre]
Maintainer: Tomas Kliegr <kliegr at>
License: AGPL-3
NeedsCompilation: no
CRAN checks: arc results


Reference manual: arc.pdf
Package source: arc_1.1.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: arc_1.1.3.tgz
OS X Mavericks binaries: r-oldrel: arc_1.1.3.tgz
Old sources: arc archive

Reverse dependencies:

Reverse depends: qCBA


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