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
Published:
2023年03月07日
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>
NeedsCompilation:
no
SystemRequirements:
Java (>= 8)
Documentation:
Downloads:
Reverse dependencies:
Reverse suggests:
arulesCBA,
flowml,
FSelectorRcpp,
inlpubs,
live,
mlr,
mlr3cluster,
mlr3oml,
OpenML,
partykit,
vcrpart
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=RWeka
to link to this page.