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: | 1.3.4 |
| Depends: | R (≥ 3.4.0) |
| Imports: | R6,XML,doParallel,foreach,gdata,RKEELdata (≥ 1.0.5),pmml,arules,Matrix,rJava,openssl,downloader |
| Published: | 2023-09-14 |
| DOI: | 10.32614/CRAN.package.RKEEL |
| Author: | Jose M. Moyano [aut, cre], Luciano Sanchez [aut], Oliver Sanchez [ctb], Jesus Alcala-Fernandez [ctb] |
| Maintainer: | Jose M. Moyano <jmoyano1 at us.es> |
| License: | GPL-2 |GPL-3 [expanded from: GPL] |
| NeedsCompilation: | no |
| SystemRequirements: | Java (>= 8) |
| Citation: | RKEEL citation info |
| Materials: | ChangeLog |
| CRAN checks: | RKEEL results |
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