qCBA v0.3

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Quantitative Classification by Association Rules

CBA postprocessing algorithm that creates smaller models for datasets containing quantitative (numerical) attributes. Article describing QCBA is published in Tomas Kliegr (2017) <arXiv:1711.10166>.

Functions in qCBA

Name Description
mapDataTypes Map R types to qCBA
predict.qCBARuleModel Aplies qCBARuleModel
qcbaHumTemp Use the HumTemp dataset to test the one rule classification QCBA workflow.
qcbaIris Use the iris dataset to the test QCBA workflow.
arulesCBAModel2CustomCBAModel arulesCBAModel2CustomCBAModel Converts a model created by arulesCBA so that it can be passed to qCBA
customCBARuleModel-class rCBARuleModel
qCBARuleModel-class qCBARuleModel
qcbaIris2 Use the Iris dataset to test the experimental multi-rule QCBA workflow.
rcbaModel2CustomCBAModel rcbaModel2CustomCBAModel Converts a model created by rCBA so that it can be passed to qCBA
qcba qCBA Quantitative CBA
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Details

Date 2017-11-30
SystemRequirements Java (>= 8)
URL https://github.com/kliegr/QCBA
BugReports https://github.com/kliegr/QCBA/issues
License AGPL-3
RoxygenNote 6.0.1
NeedsCompilation no
Packaged 2017-12-01 12:13:33 UTC; root
Repository CRAN
Date/Publication 2017-12-01 18:11:06 UTC

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