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ModTools: Building Regression and Classification Models

Consistent user interface to the most common regression and classification algorithms, such as random forest, neural networks, C5 trees and support vector machines, complemented with a handful of auxiliary functions, such as variable importance and a tuning function for the parameters.

Version: 0.9.13
Depends: DescTools, MASS, nnet, survival, R (≥ 3.5.0)
Imports: e1071, C50, rpart, randomForest, pROC, methods, relaimpo, rpart.plot, lattice, lmtest, car, robustbase, class, NeuralNetTools, naivebayes, sandwich, AER, boot, pscl
Suggests: VGAM
Published: 2024-09-30
DOI: 10.32614/CRAN.package.ModTools
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>
BugReports: https://github.com/AndriSignorell/ModTools/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://andrisignorell.github.io/ModTools/, https://github.com/AndriSignorell/ModTools/
NeedsCompilation: no
Materials: README NEWS
CRAN checks: ModTools results

Documentation:

Reference manual: ModTools.pdf

Downloads:

Package source: ModTools_0.9.13.tar.gz
Windows binaries: r-devel: ModTools_0.9.13.zip, r-release: ModTools_0.9.13.zip, r-oldrel: ModTools_0.9.13.zip
macOS binaries: r-release (arm64): ModTools_0.9.13.tgz, r-oldrel (arm64): ModTools_0.9.13.tgz, r-release (x86_64): ModTools_0.9.13.tgz, r-oldrel (x86_64): ModTools_0.9.13.tgz
Old sources: ModTools archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.