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✨
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 548 downloads 3 exports 1 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-arm64OK128
linux-devel-x86_64OK146
source / vignettesOK162
linux-release-arm64OK124
linux-release-x86_64OK148
macos-release-arm64OK111
macos-release-x86_64OK247
macos-oldrel-arm64OK123
macos-oldrel-x86_64OK268
windows-develOK88
windows-releaseOK111
windows-oldrelOK93
wasm-releaseOK100

Exports:prefrecrulesprefrecsettransactiontoBitmax

Dependencies:Rcpp