obliqueRF: Oblique Random Forests from Recursive Linear Model Splits

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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.

Author
Bjoern Menze and Nico Splitthoff
Date of publication
2012-08-10 18:22:37
Maintainer
D.N. Splitthoff <nico.splitthoff@gmx.de>
License
GPL (>= 2)
Version
0.3

View on CRAN

Man pages

importance
Extract variable importance measure
obliqueRF
Classification with Oblique Random Forest
orfNews
Show the NEWS file
predict.obliqueRF
predict method for oblique random forest objects

Files in this package

obliqueRF
obliqueRF/MD5
obliqueRF/NAMESPACE
obliqueRF/R
obliqueRF/R/importance.R
obliqueRF/R/obliqueRF.R
obliqueRF/R/obliqueRF.default.R
obliqueRF/R/orfNews.R
obliqueRF/R/zzz.R
obliqueRF/R/print.obliqueRF.R
obliqueRF/R/predict.obliqueRF.R
obliqueRF/inst
obliqueRF/inst/NEWS
obliqueRF/man
obliqueRF/man/predict.obliqueRF.Rd
obliqueRF/man/orfNews.Rd
obliqueRF/man/importance.Rd
obliqueRF/man/obliqueRF.Rd
obliqueRF/DESCRIPTION