An R interface to Weka (Version 3.5.7). Weka is a collection of machine learning algorithms for data mining tasks written in Java, containing tools for data pre-processing, classification, regression, clustering, association rules, and visualization. Both the R interface and Weka itself are contained in the RWeka package. For more information on Weka see http://www.cs.waikato.ac.nz/~ml/weka/.
| Version: | 0.3-11 |
| Depends: | R (≥ 2.6.0), rJava (≥ 0.5-0), grid |
| Imports: | graphics, stats, utils |
| Suggests: | party (≥ 0.8-0), mlbench, e1071 |
| Date: | 2008-04-23 |
| Author: | Kurt Hornik, with contributions from Christian Buchta, Torsten Hothorn, Alexandros Karatzoglou, David Meyer, and Achim Zeileis |
| Maintainer: | Kurt Hornik <Kurt.Hornik at R-project.org> |
| License: | GPL-2 |
| SystemRequirements: | Java (>= 5.0) |
| In views: | MachineLearning |
| CRAN checks: | RWeka results |
Downloads:
| Package source: | RWeka_0.3-11.tar.gz |
| MacOS X binary: | RWeka_0.3-11.tgz |
| Windows binary: | RWeka_0.3-11.zip |
| Reference manual: | RWeka.pdf |
| News/ChangeLog: | ChangeLog |
| Old sources: | RWeka archive |