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

Downloads:

Reference manual: obliqueRF.pdf
Package source: obliqueRF_0.3.tar.gz
OS X binary: obliqueRF_0.3.tgz
Windows binary: obliqueRF_0.3.zip
Old sources: obliqueRF archive

Reverse dependencies:

Reverse suggests: fscaret