'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: | 1.3.2 |
| Depends: | R (≥ 3.4.0) |
| Imports: | R6, XML, doParallel, foreach, gdata, RKEELjars (≥ 1.0.19), RKEELdata (≥ 1.0.5), pmml, arules, Matrix, rJava |
| Published: | 2020-03-19 |
| 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 |
| CRAN checks: | RKEEL results |
| Reference manual: | RKEEL.pdf |
| Package source: | RKEEL_1.3.2.tar.gz |
| Windows binaries: | r-devel: RKEEL_1.3.2.zip, r-release: RKEEL_1.3.2.zip, r-oldrel: RKEEL_1.3.2.zip |
| macOS binaries: | r-release: RKEEL_1.3.2.tgz, r-oldrel: RKEEL_1.3.2.tgz |
| Old sources: | RKEEL archive |
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