CRAN/E | RWeka

RWeka

R/Weka Interface

Installation

About

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 .

Citation RWeka citation info
System requirements Java (>= 8)

Key Metrics

Version 0.4-46
R ≥ 2.6.0
Published 2023-03-07 423 days ago
Needs compilation? no
License GPL-2
CRAN checks RWeka results

Downloads

Yesterday 216 -52%
Last 7 days 1.959 -3%
Last 30 days 8.327 -14%
Last 90 days 24.698 +5%
Last 365 days 93.973 -63%

Maintainer

Maintainer

Kurt Hornik

Kurt.Hornik@R-project.org

Authors

Kurt Hornik

aut / cre

Christian Buchta

ctb

Torsten Hothorn

ctb

Alexandros Karatzoglou

ctb

David Meyer

ctb

Achim Zeileis

ctb

Material

ChangeLog
Reference manual
Package source

In Views

MachineLearning
NaturalLanguageProcessing

Vignettes

RWeka Odds and Ends

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

RWeka archive

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

Reverse Depends

AntAngioCOOL

Reverse Imports

aslib
BASiNET
Biocomb
ConvertPar
DecorateR
DIscBIO
FSelector
lilikoi
LLM
pguIMP

Reverse Suggests

arulesCBA
fscaret
FSelectorRcpp
inlpubs
live
mlr
mlr3cluster
mlr3oml
OpenML
partykit

Reverse Enhances

clue