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: 1.1.22
Depends: R (≥ 3.2.0)
Imports: R6, XML, doParallel, foreach, gdata, RKEELjars (≥ 1.0.14), RKEELdata (≥ 1.0.2), pmml, arules, Matrix, rJava
Published: 2017-08-10
Author: Jose M. Moyano [aut, cre], Luciano Sanchez Ramos [aut], Oliver Sanchez Marin [ctb]
Maintainer: Jose M. Moyano <jmoyano at uco.es>
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: no
SystemRequirements: Java (>= 8.0)
Citation: RKEEL citation info
CRAN checks: RKEEL results


Reference manual: RKEEL.pdf
Package source: RKEEL_1.1.22.tar.gz
Windows binaries: r-devel: RKEEL_1.1.22.zip, r-release: RKEEL_1.1.22.zip, r-oldrel: RKEEL_1.1.22.zip
OS X El Capitan binaries: r-release: RKEEL_1.1.22.tgz
OS X Mavericks binaries: r-oldrel: RKEEL_1.1.6.tgz
Old sources: RKEEL archive


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