obliqueRF: Oblique Random Forests from Recursive Linear Model Splits

Random forest with oblique decision trees for binary classification tasks. Discriminative node models in the tree are based on: ridge regression, partial least squares regression, logistic regression, linear support vector machines, or random coefficients.

Version:	0.3
Depends:	R (≥ 2.0.0), stats, ROCR, pls, mda, e1071
Published:	2012-08-10
Author:	Bjoern Menze and Nico Splitthoff
Maintainer:	D.N. Splitthoff <nico.splitthoff at gmx.de>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	no
Materials:	NEWS
CRAN checks:	obliqueRF results

Documentation:

Reference manual:

obliqueRF.pdf

Downloads:

Package source:	obliqueRF_0.3.tar.gz
Windows binaries:	r-devel: obliqueRF_0.3.zip, r-release: obliqueRF_0.3.zip, r-oldrel: obliqueRF_0.3.zip
macOS binaries:	r-release (arm64): obliqueRF_0.3.tgz, r-oldrel (arm64): obliqueRF_0.3.tgz, r-release (x86_64): obliqueRF_0.3.tgz, r-oldrel (x86_64): obliqueRF_0.3.tgz
Old sources:	obliqueRF archive

Reverse dependencies:

Reverse suggests:

fscaret

Linking:

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