RWeka: R/Weka interface

An R interface to Weka (Version 3.7.10). 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. Package RWeka contains the interface code, the Weka jar is in a separate package RWekajars. For more information on Weka see <http://www.cs.waikato.ac.nz/~ml/weka/>.

Version: 0.4-22
Depends: R (≥ 2.6.0)
Imports: RWekajars (≥ 3.7.10), rJava (≥ 0.6-3), graphics, stats, utils, grid
Suggests: partykit (≥ 0.8.0), mlbench, e1071
Published: 2014-03-31
Author: Kurt Hornik [aut, cre], Christian Buchta [ctb], Torsten Hothorn [ctb], Alexandros Karatzoglou [ctb], David Meyer [ctb], Achim Zeileis [ctb]
Maintainer: Kurt Hornik <Kurt.Hornik at R-project.org>
License: GPL-2
NeedsCompilation: no
SystemRequirements: Java (>= 5.0)
Citation: RWeka citation info
Materials: ChangeLog
In views: MachineLearning, NaturalLanguageProcessing
CRAN checks: RWeka results

Downloads:

Reference manual: RWeka.pdf
Vignettes: RWeka Odds and Ends
Package source: RWeka_0.4-22.tar.gz
OS X binary: RWeka_0.4-22.tgz
Windows binary: RWeka_0.4-22.zip
Old sources: RWeka archive

Reverse dependencies:

Reverse imports: FSelector
Reverse suggests: fscaret, llama, mlr, partykit
Reverse enhances: clue