diversityForest: Diversity Forests

Implements diversity forests as described in an upcoming paper by the author of the package. This package is a fork of the R package 'ranger' (main author: Marvin N. Wright) that implements random forests using an efficient C++ implementation. More precisely, 'diversityForest' was written by modifying the code of 'ranger', version 0.11.0. Therefore, details on further functionalities of the code that are not presented in the help pages of 'diversityForest' are found in the help pages of 'ranger' (version 0.11.0). The code in the example sections of the 'diversityForest' manual can be used as a template for all basic application scenarios with respect to classification, regression and survival prediction using univariate, binary splitting. Some function arguments adopted from the 'ranger' package are not be useable with diversity forests (for the current package version).

Version: 0.2.0
Depends: R (≥ 3.1)
Imports: Rcpp (≥ 0.11.2), Matrix
LinkingTo: Rcpp, RcppEigen
Suggests: survival, testthat
Published: 2020-01-29
Author: Roman Hornung [aut, cre], Marvin N. Wright [ctb, cph]
Maintainer: Roman Hornung <hornung at ibe.med.uni-muenchen.de>
License: GPL-3
NeedsCompilation: yes
SystemRequirements: C++11
Materials: NEWS
CRAN checks: diversityForest results

Downloads:

Reference manual: diversityForest.pdf
Package source: diversityForest_0.2.0.tar.gz
Windows binaries: r-prerelease: diversityForest_0.2.0.zip, r-release: diversityForest_0.2.0.zip, r-oldrel: diversityForest_0.2.0.zip
macOS binaries: r-prerelease: diversityForest_0.2.0.tgz, r-release: diversityForest_0.2.0.tgz, r-oldrel: diversityForest_0.2.0.tgz
Old sources: diversityForest archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=diversityForest to link to this page.