The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
'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 |
| Reference manual: | RKEEL.pdf |
| Package source: | RKEEL_1.3.4.tar.gz |
| Windows binaries: | r-devel: RKEEL_1.3.4.zip, r-release: RKEEL_1.3.4.zip, r-oldrel: RKEEL_1.3.4.zip |
| macOS binaries: | r-release (arm64): RKEEL_1.3.4.tgz, r-oldrel (arm64): RKEEL_1.3.4.tgz, r-release (x86_64): RKEEL_1.3.4.tgz, r-oldrel (x86_64): RKEEL_1.3.4.tgz |
| Old sources: | RKEEL archive |
Please use the canonical form https://CRAN.R-project.org/package=RKEEL to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.