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qCBA (version 0.3)

Quantitative Classification by Association Rules

Description

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

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Version

Install

install.packages('qCBA')

Monthly Downloads

212

Version

0.3

License

AGPL-3

Issues

1

Pull Requests

0

Stars

11

Forks

3

Maintainer

Tomas Kliegr

Last Published

December 1st, 2017

Functions in qCBA (0.3)

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