ModTools: 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.

Version: 0.9.4
Depends: DescTools, MASS, nnet, survival, R (≥ 3.5.0)
Imports: e1071, C50, rpart, randomForest, pROC, pscl, methods, relaimpo, rpart.plot, lattice, lmtest, car, robustbase, class, NeuralNetTools, naivebayes, sandwich, AER
Published: 2021-07-26
Author: 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]
Maintainer: Andri Signorell <andri at signorell.net>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: NEWS
CRAN checks: ModTools results

Downloads:

Reference manual: ModTools.pdf
Package source: ModTools_0.9.4.tar.gz
Windows binaries: r-devel: ModTools_0.9.4.zip, r-release: ModTools_0.9.4.zip, r-oldrel: ModTools_0.9.4.zip
macOS binaries: r-release (arm64): ModTools_0.9.4.tgz, r-release (x86_64): ModTools_0.9.4.tgz, r-oldrel: ModTools_0.9.4.tgz

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