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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. Hahsler, Gruen and Hornik (2005) <doi:10.18637/jss.v014.i15>.

Version: 1.7-7
Depends: R (≥ 4.0.0), Matrix (≥ 1.4-0)
Imports: stats, methods, generics, graphics, utils
Suggests: pmml, XML, proxy, arulesViz, arulesCBA, testthat
Published: 2023-11-29
Author: Michael Hahsler ORCID iD [aut, cre, cph], Christian Buchta [aut, cph], Bettina Gruen [aut, cph], Kurt Hornik ORCID iD [aut, cph], Christian Borgelt [ctb, cph], Ian Johnson [ctb], Makhlouf Ledmi [ctb]
Maintainer: Michael Hahsler <mhahsler at lyle.smu.edu>
BugReports: https://github.com/mhahsler/arules/issues
License: GPL-3
Copyright: The source code for Apriori and Eclat was obtained from http://www.borgelt.net/ and is Copyright (C) 1996-2003 Christian Borgelt. All other code is Copyright (C) Michael Hahsler, Christian Buchta, Bettina Gruen and Kurt Hornik.
URL: https://github.com/mhahsler/arules
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

Documentation:

Reference manual: arules.pdf
Vignettes: Introduction to arules

Downloads:

Package source: arules_1.7-7.tar.gz
Windows binaries: r-devel: arules_1.7-7.zip, r-release: arules_1.7-7.zip, r-oldrel: arules_1.7-7.zip
macOS binaries: r-release (arm64): arules_1.7-7.tgz, r-oldrel (arm64): arules_1.7-7.tgz, r-release (x86_64): arules_1.7-7.tgz, r-oldrel (x86_64): arules_1.7-7.tgz
Old sources: arules archive

Reverse dependencies:

Reverse depends: arc, arulesCBA, arulesNBMiner, arulesSequences, arulesViz, fdm2id, GroupBN, ibmdbR, qCBA, rCBA, recommenderlab
Reverse imports: aPEAR, clickstream, CLONETv2, CRE, discnorm, immcp, inTrees, opusminer, RareComb, rgnoisefilt, RKEEL, sbrl, TELP, TFARM
Reverse suggests: CBNplot, ctsem, fcaR, pmml, rattle, SurvivalTests

Linking:

Please use the canonical form https://CRAN.R-project.org/package=arules 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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