RWekajars (>= 3.9.1-3), rJava (>= 0.6-3), graphics, stats,
utils, grid

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",
email = "Achim.Zeileis@R-project.org",
comment = c(ORCID = "0000-0003-0918-3766")))
RWekajars (>= 3.9.1-4), rJava (>= 0.6-3), graphics, stats,
utils, grid
Kurt Hornik [aut, cre],
Christian Buchta [ctb],
Torsten Hothorn [ctb],
Alexandros Karatzoglou [ctb],
David Meyer [ctb],
Achim Zeileis [ctb] (<https://orcid.org/0000-0003-0918-3766>)

c(person("Kurt", "Hornik", role = c("aut", "cre"),
email = "Kurt.Hornik@R-project.org",
comment = c(ORCID = "0000-0003-4198-9911")),
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",
email = "Achim.Zeileis@R-project.org",
comment = c(ORCID = "0000-0003-0918-3766")))
Kurt Hornik [aut, cre] (<https://orcid.org/0000-0003-4198-9911>),
Christian Buchta [ctb],
Torsten Hothorn [ctb],
Alexandros Karatzoglou [ctb],
David Meyer [ctb],
Achim Zeileis [ctb] (<https://orcid.org/0000-0003-0918-3766>)

An R interface to Weka (Version 3.9.2).
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/>.
RWekajars (>= 3.9.2-1), rJava (>= 0.6-3), graphics, stats,
utils, grid

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 <http://www.cs.waikato.ac.nz/ml/weka/>.
RWekajars (>= 3.9.3-1), rJava (>= 0.6-3), graphics, stats,
utils, grid