rotationForest: Fit and Deploy Rotation Forest Models

Fit and deploy rotation forest models ("Rodriguez, J.J., Kuncheva, L.I., 2006. Rotation forest: A new classifier ensemble method. IEEE Trans. Pattern Anal. Mach. Intell. 28, 1619-1630 <doi:10.1109/TPAMI.2006.211>") for binary classification. Rotation forest is an ensemble method where each base classifier (tree) is fit on the principal components of the variables of random partitions of the feature set.

Version:	0.1.3
Imports:	rpart
Published:	2017-04-16
Author:	Michel Ballings and Dirk Van den Poel
Maintainer:	Michel Ballings <michel.ballings at gmail.com>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	no
Materials:	NEWS
CRAN checks:	rotationForest results

Documentation:

Reference manual:

rotationForest.pdf

Downloads:

Package source:	rotationForest_0.1.3.tar.gz
Windows binaries:	r-devel: rotationForest_0.1.3.zip, r-release: rotationForest_0.1.3.zip, r-oldrel: rotationForest_0.1.3.zip
macOS binaries:	r-release (arm64): rotationForest_0.1.3.tgz, r-oldrel (arm64): rotationForest_0.1.3.tgz, r-release (x86_64): rotationForest_0.1.3.tgz, r-oldrel (x86_64): rotationForest_0.1.3.tgz
Old sources:	rotationForest archive

Reverse dependencies:

Reverse imports:	hybridEnsemble
Reverse suggests:	mlr

Linking:

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