obliqueRF v0.3
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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.
Functions in obliqueRF
| Name | Description | |
| orfNews | Show the NEWS file | |
| importance | Extract variable importance measure | |
| predict.obliqueRF | predict method for oblique random forest objects | |
| obliqueRF | Classification with Oblique Random Forest | |
| No Results! | ||
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Details
| Date | 2012-08-10 |
| License | GPL (>= 2) |
| Packaged | 2012-08-10 15:36:45 UTC; splitt |
| Repository | CRAN |
| Date/Publication | 2012-08-10 18:22:37 |
| depends | base (>= 2.0.0) , e1071 , mda , pls , R (>= 2.0.0) , ROCR , stats |
| Contributors | Bjoern Menze, Nico Splitthoff |
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