CRAN Task View: Machine Learning & Statistical Learning

Maintainer:Torsten Hothorn
Contact:Torsten.Hothorn at
Several add-on packages implement ideas and methods developed at the borderline between computer science and statistics - this field of research is usually referred to as machine learning. The packages can be roughly structured into the following topics: CORElearn implements a rather broad class of machine learning algorithms, such as nearest neighbors, trees, random forests, and several feature selection methods. Similar, package rminer interfaces several learning algorithms implemented in other packages and computes several performance measures. h2o is an R-interface to the H20 framework for distributed and parallel computing which includes implementations of Deeplearning, GLMs, Gradient Boosted Machines, Random Forests, PCA, and KMeans.

CRAN packages:

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