MultivariateRandomForest: Models Multivariate Cases Using Random Forests

Models and predicts multiple output features in single random forest considering the linear relation among the output features, see details in Rahman et al (2017)<doi:10.1093/bioinformatics/btw765>.

Version: 1.1.5
Depends: R (≥ 2.10)
Imports: Rcpp, bootstrap, stats
LinkingTo: Rcpp
Published: 2017-05-01
Author: Raziur Rahman
Maintainer: Raziur Rahman <razeeebuet at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: MultivariateRandomForest results

Downloads:

Reference manual: MultivariateRandomForest.pdf
Package source: MultivariateRandomForest_1.1.5.tar.gz
Windows binaries: r-devel: MultivariateRandomForest_1.1.5.zip, r-release: MultivariateRandomForest_1.1.5.zip, r-oldrel: MultivariateRandomForest_1.1.5.zip
OS X El Capitan binaries: r-release: MultivariateRandomForest_1.1.5.tgz
OS X Mavericks binaries: r-oldrel: MultivariateRandomForest_1.1.5.tgz
Old sources: MultivariateRandomForest archive

Reverse dependencies:

Reverse imports: IntegratedMRF

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