ranger: A Fast Implementation of Random Forests

A fast implementation of Random Forests, particularly suited for high dimensional data. Ensembles of classification, regression, survival and probability prediction trees are supported. Data from genome-wide association studies can be analyzed efficiently. In addition to data frames, datasets of class 'gwaa.data' (R package GenABEL) can be directly analyzed.

Version: 0.3.0
Depends: R (≥ 3.1)
Imports: Rcpp (≥ 0.11.2)
LinkingTo: Rcpp
Suggests: survival, testthat
Published: 2015-11-10
Author: Marvin N. Wright
Maintainer: Marvin N. Wright <wright at imbs.uni-luebeck.de>
License: GPL-3
NeedsCompilation: yes
Materials: NEWS
In views: MachineLearning
CRAN checks: ranger results


Reference manual: ranger.pdf
Package source: ranger_0.3.0.tar.gz
Windows binaries: r-devel: ranger_0.3.0.zip, r-release: ranger_0.3.0.zip, r-oldrel: ranger_0.3.0.zip
OS X Snow Leopard binaries: r-release: not available, r-oldrel: not available
OS X Mavericks binaries: r-release: ranger_0.3.0.tgz
Old sources: ranger archive

Reverse dependencies:

Reverse depends: Boruta
Reverse suggests: purge