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 |