RWeka: R/Weka Interface

An R interface to Weka (Version 3.9.3). 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: 0.4-41
Depends: R (≥ 2.6.0)
Imports: RWekajars (≥ 3.9.3-1), rJava (≥ 0.6-3), graphics, stats, utils, grid
Suggests: partykit (≥ 0.8.0), mlbench, e1071
Published: 2019-10-19
Author: Kurt Hornik ORCID iD [aut, cre], Christian Buchta [ctb], Torsten Hothorn [ctb], Alexandros Karatzoglou [ctb], David Meyer [ctb], Achim Zeileis ORCID iD [ctb]
Maintainer: Kurt Hornik <Kurt.Hornik at>
License: GPL-2
NeedsCompilation: no
SystemRequirements: Java (>= 8)
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_0.4-41.tar.gz
Windows binaries: r-devel:, r-devel-gcc8:, r-release:, r-oldrel:
OS X binaries: r-release: RWeka_0.4-41.tgz, r-oldrel: RWeka_0.4-41.tgz
Old sources: RWeka archive

Reverse dependencies:

Reverse depends: AntAngioCOOL, MSIseq
Reverse imports: aslib, BASiNET, Biocomb, DecorateR, FSelector, lilikoi, LLM, NoiseFiltersR, petro.One
Reverse suggests: farff, fscaret, FSelectorRcpp, mlr, OpenML, partykit, utiml
Reverse enhances: clue


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