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qCBA (version 0.3.1)

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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Install

install.packages('qCBA')

Monthly Downloads

212

Version

0.3.1

License

AGPL-3

Issues

1

Pull Requests

0

Stars

11

Forks

3

Maintainer

Tomas Kliegr

Last Published

January 12th, 2018

Functions in qCBA (0.3.1)

arulesCBAModel2CustomCBAModel

arulesCBAModel2CustomCBAModel Converts a model created by arulesCBA so that it can be passed to qCBA
customCBARuleModel-class

rCBARuleModel
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
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.
qCBARuleModel-class

qCBARuleModel
qcba

qCBA Quantitative CBA