Package: qCBA 1.0.1

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_1.0.1.tar.gz
qCBA_1.0.1.zip(r-4.5)qCBA_1.0.1.zip(r-4.4)qCBA_1.0.1.zip(r-4.3)
qCBA_1.0.1.tgz(r-4.4-any)qCBA_1.0.1.tgz(r-4.3-any)
qCBA_1.0.1.tar.gz(r-4.5-noble)qCBA_1.0.1.tar.gz(r-4.4-noble)
qCBA_1.0.1.tgz(r-4.4-emscripten)qCBA_1.0.1.tgz(r-4.3-emscripten)
qCBA.pdf |qCBA.html✨
qCBA/json (API)
NEWS

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

Peer review:

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

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

On CRAN:

4.30 score 11 stars 12 scripts 218 downloads 10 exports 19 dependencies

Last updated 3 months agofrom:93c92ff965. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 09 2024
R-4.5-winOKNov 09 2024
R-4.5-linuxOKNov 09 2024
R-4.4-winOKNov 09 2024
R-4.4-macOKNov 09 2024
R-4.3-winOKNov 09 2024
R-4.3-macOKNov 09 2024

Exports:arulesCBA2arcCBAModelbenchmarkQCBAgetConfVectorForROCmapDataTypesqcbaqcbaHumTempqcbaIrisqcbaIris2rcbaModel2CBARuleModelsbrlModel2arcCBARuleModel

Dependencies:arcarulesarulesCBAcodetoolsdiscretizationforeachgenericsglmnetiteratorslatticeMatrixR.methodsS3R.ooR.utilsRcppRcppEigenrJavashapesurvival