R/Weka interface: An R interface to Weka (Version 3.6.0). Weka is a collection of machine learning algorithms for data mining tasks written in Java, containing tools for data pre-processing, [...]

Mining Association Rules and Frequent Itemsets: Provides the infrastructure for representing, manipulating and analyzing transaction data and patterns (frequent itemsets and association rules). Also [...]

VR: Functions and datasets to support Venables and Ripley, 'Modern Applied Statistics with S' (4th edition).

A Laboratory for Recursive Partytioning: A computational toolbox for recursive partitioning. The core of the package is ctree(), an implementation of conditional inference trees which embed [...]

kernlab provides kernel-based machine learning methods for classification, regression, clustering, novelty detection, quantile regression and dimensionality reduction. Among other methods kernlab [...]

Misc Functions of the Department of Statistics (e1071), TU Wien: Functions for latent class analysis, short time Fourier transform, fuzzy clustering, support vector machines, shortest path [...]