An R interface to Weka (Version 3.7.1). 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: |
0.4-1 |
| Depends: |
R (≥ 2.6.0) |
| Imports: |
graphics, stats, utils, rJava (≥ 0.6-3), grid |
| Suggests: |
party (≥ 0.8-0), mlbench, e1071 |
| Published: |
2010-01-20 |
| 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) |
| Citation: |
RWeka citation info |
| In views: |
MachineLearning, NaturalLanguageProcessing |
| CRAN checks: |
RWeka results |