arulesCBA: Classification Based on Association Rules
Version 1.1.1

Provides a function to build an association rule-based classifier for data frames, and to classify incoming data frames using such a classifier.

AuthorIan Johnson [aut, cre, cph], Michael Hahsler [ctb]
Date of publication2017-04-03 20:19:05 UTC
MaintainerIan Johnson <ianjjohnson@icloud.com>
LicenseGPL-3
Version1.1.1
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("arulesCBA")

Getting started

README.md

Popular man pages

bCBA: Classification Based on Association Rules
CBA: Classification Based on Association Rules
CBA_ruleset: Rules-based Classifier from Association Rules
predict: Classification with CBA classifier
rules: Get the Association Rules from a CBA classifier
See all...

All man pages Function index File listing

Man pages

bCBA: Classification Based on Association Rules
CBA: Classification Based on Association Rules
CBA_ruleset: Rules-based Classifier from Association Rules
predict: Classification with CBA classifier
rules: Get the Association Rules from a CBA classifier

Functions

CBA Man page Source code
CBA.internal Source code
CBA_ruleset Man page Source code
bCBA Man page Source code
bcba Man page
cba Man page
cba_ruleset Man page
factorize Source code
predict Man page
predict.CBA Man page Source code
print.CBA Source code
rules Man page Source code

Files

inst
inst/doc
inst/doc/arulesCBA.pdf
inst/doc/arulesCBA.R
inst/doc/arulesCBA.rnw
tests
tests/testthat.R
tests/testthat
tests/testthat/tests.R
src
src/cba.c
src/weighted.c
src/dll.c
NAMESPACE
R
R/bCBA.R
R/factorize.R
R/predict.R
R/CBA_ruleset.R
R/print.R
R/CBAInternal.R
R/CBA.R
R/rules.R
vignettes
vignettes/arulesCBA.rnw
README.md
MD5
build
build/vignette.rds
DESCRIPTION
man
man/rules.Rd
man/CBA_ruleset.Rd
man/predict.Rd
man/bCBA.Rd
man/CBA.Rd
arulesCBA documentation built on May 19, 2017, 10:37 p.m.

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

Please suggest features or report bugs in the GitHub issue tracker.

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