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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 [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 (>= 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_0.4-46.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 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 |
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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.
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