Package: RecAssoRules 1.0

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>.

Authors:Louis Raimbault [aut,cre], A.Mokkadem [aut], M.Pelletier [aut]

RecAssoRules_1.0.tar.gz
RecAssoRules_1.0.zip(r-4.7-x86_64)RecAssoRules_1.0.zip(r-4.7-arm64)RecAssoRules_1.0.zip(r-4.6-x86_64)RecAssoRules_1.0.zip(r-4.6-arm64)RecAssoRules_1.0.zip(r-4.5-x86_64)
RecAssoRules_1.0.tgz(r-4.6-x86_64)RecAssoRules_1.0.tgz(r-4.6-arm64)RecAssoRules_1.0.tgz(r-4.5-x86_64)RecAssoRules_1.0.tgz(r-4.5-arm64)
RecAssoRules_1.0.tar.gz(r-4.7-arm64)RecAssoRules_1.0.tar.gz(r-4.7-x86_64)RecAssoRules_1.0.tar.gz(r-4.6-arm64)RecAssoRules_1.0.tar.gz(r-4.6-x86_64)
RecAssoRules_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
RecAssoRules/json (API)

# Install 'RecAssoRules' in R:
install.packages('RecAssoRules', repos = c('https://louisraimbault.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/louisraimbault/recassorules-r/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

Conda:

cpp

1.00 score 317 downloads 3 exports 1 dependencies

Last updated from:8bb28c86d6. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK110
linux-devel-x86_64OK128
source / vignettesOK153
linux-release-arm64OK118
linux-release-x86_64OK121
macos-release-arm64OK159
macos-release-x86_64OK236
macos-oldrel-arm64OK201
macos-oldrel-x86_64OK373
windows-devel-arm64OK316
windows-devel-x86_64OK118
windows-release-arm64OK314
windows-release-x86_64OK155
windows-oldrel-x86_64OK76
wasm-releaseOK97

Exports:prefrecrulesprefrecsettransactiontoBitmax

Dependencies:Rcpp