An R interface to Weka (Version 3.6.1). 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.  Both the R interface and Weka itself are
contained in the RWeka package.  For more information on Weka
see http://www.cs.waikato.ac.nz/~ml/weka/.

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

An R interface to Weka (Version 3.6.2). 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.  Both the R interface and Weka itself are
contained in the RWeka package.  For more information on Weka
see http://www.cs.waikato.ac.nz/~ml/weka/.

An R interface to Weka (Version 3.5.6).
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. Both the R interface and Weka itself are contained
in the RWeka package. For more information on Weka see
http://www.cs.waikato.ac.nz/~ml/weka/.

An R interface to Weka (Version 3.5.7).
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. Both the R interface and Weka itself are contained
in the RWeka package. For more information on Weka see
http://www.cs.waikato.ac.nz/~ml/weka/.

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.  Both the R interface and Weka itself are
contained in the RWeka package.  For more information on Weka
see http://www.cs.waikato.ac.nz/~ml/weka/.