Package: qCBA 1.0

Tomáš Kliegr

qCBA: Postprocessing of Rule Classification Models Learnt on Quantized Data

Implements the Quantitative Classification-based on Association Rules (QCBA) algorithm (<doi:10.1007/s10489-022-04370-x>). QCBA postprocesses rule classification models making them typically smaller and in some cases more accurate. Supported are 'CBA' implementations from 'rCBA', 'arulesCBA' and 'arc' packages, and 'CPAR', 'CMAR', 'FOIL2' and 'PRM' implementations from 'arulesCBA' package and 'SBRL' implementation from the 'sbrl' package. The result of the post-processing is an ordered CBA-like rule list.

Authors:Tomáš Kliegr [aut, cre]

qCBA_1.0.tar.gz
qCBA_1.0.tar.gz(r-4.5-noble)qCBA_1.0.tar.gz(r-4.4-noble)
qCBA_1.0.tgz(r-4.4-emscripten)qCBA_1.0.tgz(r-4.3-emscripten)
qCBA.pdf |qCBA.html✨
qCBA/json (API)
NEWS

# Install 'qCBA' in R:
install.packages('qCBA', repos = 'https://cloud.r-project.org')

Bug tracker:https://github.com/kliegr/qcba/issues1 issues

Uses libs:
  • openjdk– OpenJDK Java runtime, using Hotspot JIT

On CRAN:

Conda:

openjdk

1.00 score 186 downloads 10 exports 19 dependencies

Last updated 7 months agofrom:a691536329. Checks:3 OK. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKMar 27 2025
R-4.5-linuxOKMar 27 2025
R-4.4-linuxOKMar 27 2025

Exports:arulesCBA2arcCBAModelbenchmarkQCBAgetConfVectorForROCmapDataTypesqcbaqcbaHumTempqcbaIrisqcbaIris2rcbaModel2CBARuleModelsbrlModel2arcCBARuleModel

Dependencies:arcarulesarulesCBAcodetoolsdiscretizationforeachgenericsglmnetiteratorslatticeMatrixR.methodsS3R.ooR.utilsRcppRcppEigenrJavashapesurvival

Citation

To cite package ‘qCBA’ in publications use:

Kliegr T (2024). qCBA: Postprocessing of Rule Classification Models Learnt on Quantized Data. R package version 1.0, https://CRAN.R-project.org/package=qCBA.

Corresponding BibTeX entry: 

  @Manual{,
    title = {qCBA: Postprocessing of Rule Classification Models Learnt
      on Quantized Data},
    author = {Tomáš Kliegr},
    year = {2024},
    note = {R package version 1.0},
    url = {https://CRAN.R-project.org/package=qCBA},
  }