arules: Mining Association Rules and Frequent Itemsets

Provides the infrastructure for representing, manipulating and analyzing transaction data and patterns (frequent itemsets and association rules). Also provides C implementations of the association mining algorithms Apriori and Eclat. See Christian Borgelt (2012) <doi:10.1002/widm.1074>.

Version: 1.6-4
Depends: R (≥ 3.4.0), Matrix (≥ 1.2-0)
Imports: stats, methods, graphics, utils
Suggests: pmml, XML, arulesViz, testthat
Published: 2019-08-29
Author: Michael Hahsler [aut, cre, cph], Christian Buchta [aut, cph], Bettina Gruen [aut, cph], Kurt Hornik [aut, cph], Ian Johnson [ctb, cph], Christian Borgelt [ctb, cph]
Maintainer: Michael Hahsler <mhahsler at>
License: GPL-3
Copyright: The source code for Apriori and Eclat was obtained from and is Copyright (C) 1996-2003 Christian Borgelt. All other code is Copyright (C) Michael Hahsler, Christian Buchta, Bettina Gruen and Kurt Hornik.
NeedsCompilation: yes
Classification/ACM: G.4, H.2.8, I.5.1
Citation: arules citation info
Materials: README NEWS
In views: MachineLearning, ModelDeployment
CRAN checks: arules results


Reference manual: arules.pdf
Vignettes: Introduction to arules
Package source: arules_1.6-4.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: arules_1.6-4.tgz, r-oldrel: arules_1.6-4.tgz
Old sources: arules archive

Reverse dependencies:

Reverse depends: arc, arulesCBA, arulesNBMiner, arulesSequences, arulesViz, fdm2id, ibmdbR, qCBA, rCBA, recommenderlab, RSarules
Reverse imports: ASSOCShiny, Biocomb, clickstream, CLONETv2, fpmoutliers, inTrees, liayson, MachineLearning, opusminer, preprocomb, RKEEL, sbrl, TELP, wiseR
Reverse suggests: nutshell, nutshell.audioscrobbler, pmml, rattle, rfml


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