https://github.com/cran/RWeka
Tip revision: dfc000dfc3cd06ed58c5f4e4d29193438e64a07f authored by Kurt Hornik on 15 March 2017, 15:01:48 UTC
version 0.4-32
version 0.4-32
Tip revision: dfc000d
DESCRIPTION
Package: RWeka
Version: 0.4-32
Title: R/Weka Interface
Authors@R: c(person("Kurt", "Hornik", role = c("aut", "cre"),
email = "Kurt.Hornik@R-project.org"),
person("Christian", "Buchta", role = "ctb"),
person("Torsten", "Hothorn", role = "ctb"),
person("Alexandros", "Karatzoglou", role = "ctb"),
person("David", "Meyer", role = "ctb"),
person("Achim", "Zeileis", role = "ctb"))
Description: An R interface to Weka (Version 3.9.1).
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 <http://www.cs.waikato.ac.nz/ml/weka/>.
Depends: R (>= 2.6.0)
Imports: RWekajars (>= 3.9.1), rJava (>= 0.6-3), graphics, stats,
utils, grid
Suggests: partykit (>= 0.8.0), mlbench, e1071
SystemRequirements: Java (>= 7.0)
License: GPL-2
NeedsCompilation: no
Packaged: 2017-03-15 14:40:59 UTC; hornik
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@R-project.org>
Repository: CRAN
Date/Publication: 2017-03-15 16:01:48