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"))
An R interface to Weka (Version 3.7.10).
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 (>= 3.7.10), 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]

An R interface to Weka (Version 3.7.1). 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/.
RWekajars (>= 3.7.1), rJava (>= 0.6-3), graphics, stats,
utils, grid

An R interface to Weka (Version 3.7.10).
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/>.

An R interface to Weka (Version 3.7.11).
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 (>= 3.7.11), rJava (>= 0.6-3), graphics, stats,
utils, grid