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


Reference manual: obliqueRF.pdf
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: obliqueRF_0.3.tgz, r-oldrel: obliqueRF_0.3.tgz
Old sources: obliqueRF archive

Reverse dependencies:

Reverse suggests: fscaret


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