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-4.5)RecAssoRules_1.0.zip(r-4.4)RecAssoRules_1.0.zip(r-4.3)
RecAssoRules_1.0.tgz(r-4.5-x86_64)RecAssoRules_1.0.tgz(r-4.5-arm64)RecAssoRules_1.0.tgz(r-4.4-x86_64)RecAssoRules_1.0.tgz(r-4.4-arm64)RecAssoRules_1.0.tgz(r-4.3-x86_64)RecAssoRules_1.0.tgz(r-4.3-arm64)
RecAssoRules_1.0.tar.gz(r-4.5-noble)RecAssoRules_1.0.tar.gz(r-4.4-noble)
RecAssoRules_1.0.tgz(r-4.4-emscripten)RecAssoRules_1.0.tgz(r-4.3-emscripten)
RecAssoRules.pdf |RecAssoRules.html✨
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 484 downloads 3 exports 1 dependencies

Last updated 4 years agofrom:8bb28c86d6. Checks:11 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 24 2025
R-4.5-win-x86_64OKFeb 24 2025
R-4.5-mac-x86_64OKFeb 24 2025
R-4.5-mac-aarch64OKFeb 24 2025
R-4.5-linux-x86_64OKFeb 24 2025
R-4.4-win-x86_64OKFeb 24 2025
R-4.4-mac-x86_64OKFeb 24 2025
R-4.4-mac-aarch64OKFeb 24 2025
R-4.3-win-x86_64OKFeb 24 2025
R-4.3-mac-x86_64OKFeb 24 2025
R-4.3-mac-aarch64OKFeb 24 2025

Exports:prefrecrulesprefrecsettransactiontoBitmax

Dependencies:Rcpp