The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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 <https://www.cs.waikato.ac.nz/ml/weka/>.

Version: 0.4-46
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: 2023-03-07
DOI: 10.32614/CRAN.package.RWeka
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 R-project.org>
License: GPL-2
NeedsCompilation: no
SystemRequirements: Java (>= 8)
Citation: RWeka citation info
Materials: ChangeLog
In views: MachineLearning, NaturalLanguageProcessing
CRAN checks: RWeka results

Documentation:

Reference manual: RWeka.pdf
Vignettes: RWeka Odds and Ends

Downloads:

Package source: RWeka_0.4-46.tar.gz
Windows binaries: r-devel: RWeka_0.4-46.zip, r-release: RWeka_0.4-46.zip, r-oldrel: RWeka_0.4-46.zip
macOS binaries: r-release (arm64): RWeka_0.4-46.tgz, r-oldrel (arm64): RWeka_0.4-46.tgz, r-release (x86_64): RWeka_0.4-46.tgz, r-oldrel (x86_64): RWeka_0.4-46.tgz
Old sources: RWeka archive

Reverse dependencies:

Reverse depends: AntAngioCOOL
Reverse imports: aslib, BASiNET, ConvertPar, DecorateR, DIscBIO, FSelector, GTbasedIM, lilikoi, LLM
Reverse suggests: arulesCBA, flowml, fscaret, FSelectorRcpp, inlpubs, live, mlr, mlr3cluster, mlr3oml, OpenML, partykit, vcrpart
Reverse enhances: clue

Linking:

Please use the canonical form https://CRAN.R-project.org/package=RWeka to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.