RKEEL: Using KEEL in R Code

'KEEL' is a popular Java software for a large number of different knowledge data discovery tasks. This package takes the advantages of 'KEEL' and R, allowing to use 'KEEL' algorithms in simple R code. The implemented R code layer between R and 'KEEL' makes easy both using 'KEEL' algorithms in R as implementing new algorithms for 'RKEEL' in a very simple way. It includes more than 100 algorithms for classification, regression, preprocess, association rules and imbalance learning, which allows a more complete experimentation process. For more information about KEEL, see <http://www.keel.es/>.

Version: 1.3.3
Depends: R (≥ 3.4.0)
Imports: R6, XML, doParallel, foreach, gdata, RKEELjars (≥ 1.0.19), RKEELdata (≥ 1.0.5), pmml, arules, Matrix, rJava
Published: 2021-05-13
Author: Jose M. Moyano [aut, cre], Luciano Sanchez [aut], Oliver Sanchez [ctb], Jesus Alcala-Fernandez [ctb]
Maintainer: Jose M. Moyano <jmoyano at uco.es>
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: no
SystemRequirements: Java (>= 8)
Citation: RKEEL citation info
Materials: ChangeLog
CRAN checks: RKEEL results


Reference manual: RKEEL.pdf


Package source: RKEEL_1.3.3.tar.gz
Windows binaries: r-devel: RKEEL_1.3.3.zip, r-release: RKEEL_1.3.3.zip, r-oldrel: RKEEL_1.3.3.zip
macOS binaries: r-release (arm64): RKEEL_1.3.3.tgz, r-oldrel (arm64): RKEEL_1.3.3.tgz, r-release (x86_64): RKEEL_1.3.3.tgz, r-oldrel (x86_64): RKEEL_1.3.3.tgz
Old sources: RKEEL archive


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