Package: RecAssoRules 1.0

Louis Raimbault

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://cranhaven.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:

archivedpackagesr-universecpp

1.70 score 5 stars 322 downloads 3 exports 1 dependencies

Last updated from:d3f33cdc8b (on package/RecAssoRules). Checks:15 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK126
linux-devel-x86_64OK221
source / vignettesOK139
linux-release-arm64OK108
linux-release-x86_64OK103
macos-release-arm64OK100
macos-release-x86_64OK227
macos-oldrel-arm64OK118
macos-oldrel-x86_64OK281
windows-devel-arm64OK204
windows-devel-x86_64OK159
windows-release-arm64OK207
windows-release-x86_64OK88
windows-oldrel-x86_64OK84
wasm-releaseOK95

Exports:prefrecrulesprefrecsettransactiontoBitmax

Dependencies:Rcpp