Tools for Building Regression and Classification Models

Collection of tools for regression and classification tasks. The package implements a consistent user interface to the most popular regression and classification algorithms, such as random forest, neural networks, C5 trees and support vector machines, and complements it with a handful of auxiliary functions, such as variable importance and a tuning function for the parameters.


Reference manual

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0.9.4 by Andri Signorell, 2 months ago

Browse source code at

Authors: Andri Signorell [aut, cre] , Bernhard Compton [ctb] , Marcel Dettling [ctb] , Alexandre Hainard [ctb] , Max Kuhn [ctb] , Frédérique Lisacek [ctb] , Michal Majka [ctb] , Markus Müller [ctb] , Dan Putler [ctb] , Jean-Charles Sanchez [ctb] , Natalia Tiberti [ctb] , Natacha Turck [ctb] , Jarek Tuszynski [ctb] , Robin Xavier [ctb] , Achim Zeileis [ctb]

Documentation:   PDF Manual  

GPL (>= 2) license

Imports e1071, C50, rpart, randomForest, pROC, pscl, methods, relaimpo, rpart.plot, lattice, lmtest, car, robustbase, class, NeuralNetTools, naivebayes, sandwich, AER

Depends on DescTools, MASS, nnet, survival

See at CRAN