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)RecAssoRules_1.0.zip(r-4.6)RecAssoRules_1.0.zip(r-4.5)
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✨
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 559 downloads 3 exports 1 dependencies

Last updated from:8bb28c86d6. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK114
linux-devel-x86_64OK103
source / vignettesOK133
linux-release-arm64OK108
linux-release-x86_64OK101
macos-release-arm64OK133
macos-release-x86_64OK246
macos-oldrel-arm64OK136
macos-oldrel-x86_64OK380
windows-develOK88
windows-releaseOK97
windows-oldrelOK75
wasm-releaseOK90

Exports:prefrecrulesprefrecsettransactiontoBitmax

Dependencies:Rcpp