RecAssoRules: Recursive Mining for Frequent Pattern and Confident Association Rules

Provides functions allowing the user to recursively extract frequent patterns and confident rules according to indicators of minimal support and minimal confidence. These functions are described in "Recursive Association Rule Mining" Abdelkader Mokkadem, Mariane Pelletier, Louis Raimbault (2020) <arXiv:2011.14195>.

Version: 1.0
Imports: Rcpp (≥ 1.0.5)
LinkingTo: Rcpp
Published: 2020-12-04
Author: Louis Raimbault [aut,cre], A.Mokkadem [aut], M.Pelletier [aut]
Maintainer: Louis Raimbault <Louis.Raimbault at icloud.com>
BugReports: https://github.com/LouisRaimbault/RecAssoRules-R
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/LouisRaimbault/RecAssoRules-R
NeedsCompilation: yes
CRAN checks: RecAssoRules results

Downloads:

Reference manual: RecAssoRules.pdf
Package source: RecAssoRules_1.0.tar.gz
Windows binaries: r-devel: RecAssoRules_1.0.zip, r-devel-UCRT: RecAssoRules_1.0.zip, r-release: RecAssoRules_1.0.zip, r-oldrel: RecAssoRules_1.0.zip
macOS binaries: r-release (arm64): RecAssoRules_1.0.tgz, r-release (x86_64): RecAssoRules_1.0.tgz, r-oldrel: RecAssoRules_1.0.tgz

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