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 |
Documentation:
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