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:
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-4.5-any)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')) |
Bug tracker:https://github.com/kliegr/qcba/issues
Last updated 6 months agofrom:93c92ff965. Checks:9 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 09 2025 |
| R-4.5-win | OK | Mar 09 2025 |
| R-4.5-mac | OK | Mar 09 2025 |
| R-4.5-linux | OK | Mar 09 2025 |
| R-4.4-win | OK | Mar 09 2025 |
| R-4.4-mac | OK | Mar 09 2025 |
| R-4.4-linux | OK | Mar 09 2025 |
| R-4.3-win | OK | Mar 09 2025 |
| R-4.3-mac | OK | Mar 09 2025 |
Exports:arulesCBA2arcCBAModelbenchmarkQCBAgetConfVectorForROCmapDataTypesqcbaqcbaHumTempqcbaIrisqcbaIris2rcbaModel2CBARuleModelsbrlModel2arcCBARuleModel
Dependencies:arcarulesarulesCBAcodetoolsdiscretizationforeachgenericsglmnetiteratorslatticeMatrixR.methodsS3R.ooR.utilsRcppRcppEigenrJavashapesurvival
