obliqueRF: Oblique Random Forests from Recursive Linear Model Splits
Version 0.3

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.

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AuthorBjoern Menze and Nico Splitthoff
Date of publication2012-08-10 18:22:37
MaintainerD.N. Splitthoff <nico.splitthoff@gmx.de>
LicenseGPL (>= 2)
Version0.3
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("obliqueRF")

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

Functions

buildtree Source code
findbestsplit Source code
gini_impurity_wrapper Source code
importance Man page Source code
importance.default Man page Source code
importance.obliqueRF Man page Source code
log_wrapper Source code
obliqueRF Man page
obliqueRF.default Man page Source code
onAttach Source code
orfNews Man page Source code
pls_wrapper Source code
predict.obliqueRF Man page
print.obliqueRF Man page
ridge_slow_wrapper Source code
ridge_svd_wrapper Source code
rnd_wrapper Source code
svm_wrapper Source code

Files

MD5
NAMESPACE
R
R/importance.R
R/obliqueRF.R
R/obliqueRF.default.R
R/orfNews.R
R/zzz.R
R/print.obliqueRF.R
R/predict.obliqueRF.R
inst
inst/NEWS
man
man/predict.obliqueRF.Rd
man/orfNews.Rd
man/importance.Rd
man/obliqueRF.Rd
DESCRIPTION
obliqueRF documentation built on May 19, 2017, 3:28 p.m.