extraTrees: Extremely Randomized Trees (ExtraTrees) Method for Classification and Regression

Classification and regression based on an ensemble of decision trees. The package also provides extensions of ExtraTrees to multi-task learning and quantile regression. Uses Java implementation of the method.

Version: 1.0.5
Depends: R (≥ 2.7.0), rJava (≥ 0.5-0)
Suggests: testthat, Matrix
Published: 2014-12-27
Author: Jaak Simm, Ildefons Magrans de Abril
Maintainer: Jaak Simm <jaak.simm at gmail.com>
License: Apache License 2.0
URL: http://github.com/jaak-s/extraTrees
NeedsCompilation: no
SystemRequirements: Java (>= 1.6)
Citation: extraTrees citation info
Materials: ChangeLog
CRAN checks: extraTrees results


Reference manual: extraTrees.pdf
Vignettes: extraTrees


Package source: extraTrees_1.0.5.tar.gz
Windows binaries: r-devel: extraTrees_1.0.5.zip, r-release: extraTrees_1.0.5.zip, r-oldrel: extraTrees_1.0.5.zip
macOS binaries: r-release (arm64): extraTrees_1.0.5.tgz, r-release (x86_64): extraTrees_1.0.5.tgz, r-oldrel: extraTrees_1.0.5.tgz
Old sources: extraTrees archive

Reverse dependencies:

Reverse suggests: fscaret, mlr, SuperLearner, superMICE


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