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:
Reverse dependencies:
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