RWeka: R/Weka Interface

An R interface to Weka (Version 3.9.1). 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. Package 'RWeka' contains the interface code, the Weka jar is in a separate package 'RWekajars'. For more information on Weka see <>.

Version: 0.4-30
Depends: R (≥ 2.6.0)
Imports: RWekajars (≥ 3.9.1), rJava (≥ 0.6-3), graphics, stats, utils, grid
Suggests: partykit (≥ 0.8.0), mlbench, e1071
Published: 2017-01-14
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>
License: GPL-2
NeedsCompilation: no
SystemRequirements: Java (>= 7.0)
Citation: RWeka citation info
Materials: ChangeLog
In views: MachineLearning, NaturalLanguageProcessing
CRAN checks: RWeka results


Reference manual: RWeka.pdf
Vignettes: RWeka Odds and Ends
Package source: RWeka_0.4-30.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Mavericks binaries: r-release: RWeka_0.4-26.tgz, r-oldrel: RWeka_0.4-26.tgz
Old sources: RWeka archive

Reverse dependencies:

Reverse depends: ANLP, AntAngioCOOL, MSIseq
Reverse imports: aslib, Biocomb, FSelector, NoiseFiltersR
Reverse suggests: farff, fscaret, mlr, OpenML, partykit, utiml
Reverse enhances: clue


Please use the canonical form to link to this page.