An R interface to Weka (Version 3.7.12).
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 (>= 3.7.12), rJava (>= 0.6-3), graphics, stats,
utils, grid

An R interface to Weka (Version 3.7.13).
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 (>= 3.7.13), rJava (>= 0.6-3), graphics, stats,
utils, grid

An R interface to Weka (Version 3.9.0).
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 (>= 3.9.0), rJava (>= 0.6-3), graphics, stats,
utils, grid

An R interface to Weka (Version 3.7.2). 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 (>= 3.7.2), rJava (>= 0.6-3), graphics, stats,
utils, grid

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