arulesCBA: Classification Based on Association Rules

Provides the infrastructure for association rule-based classification including the algorithms CBA, CMAR, CPAR, C4.5, FOIL, PART, PRM, RCAR, and RIPPER to build associative classifiers.

Version: 1.2.1
Depends: R (≥ 3.5.0), Matrix (≥ 1.2-0), arules (≥ 1.6-5)
Imports: methods, discretization (≥ 1.0-1), glmnet (≥ 3.0-0)
Suggests: testthat, mlbench, rJava, RWeka
Published: 2021-11-20
Author: Michael Hahsler [aut, cre, cph], Ian Johnson [aut, cph], Tyler Giallanza [ctb]
Maintainer: Michael Hahsler <mhahsler at lyle.smu.edu>
BugReports: https://github.com/ianjjohnson/arulesCBA
License: GPL-3
URL: https://github.com/ianjjohnson/arulesCBA
NeedsCompilation: yes
Citation: arulesCBA citation info
Materials: README NEWS
In views: ModelDeployment
CRAN checks: arulesCBA results

Documentation:

Reference manual: arulesCBA.pdf

Downloads:

Package source: arulesCBA_1.2.1.tar.gz
Windows binaries: r-devel: arulesCBA_1.2.1.zip, r-devel-UCRT: arulesCBA_1.2.1.zip, r-release: arulesCBA_1.2.1.zip, r-oldrel: arulesCBA_1.2.1.zip
macOS binaries: r-release (arm64): arulesCBA_1.2.1.tgz, r-release (x86_64): arulesCBA_1.2.1.tgz, r-oldrel: arulesCBA_1.2.1.tgz
Old sources: arulesCBA archive

Reverse dependencies:

Reverse suggests: arules, qCBA, tidybins

Linking:

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