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
DOI: 10.32614/CRAN.package.MultivariateRandomForest
Author: Raziur Rahman
Maintainer: Raziur Rahman <razeeebuet at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: MultivariateRandomForest results


Reference manual: MultivariateRandomForest.pdf


Package source: MultivariateRandomForest_1.1.5.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): MultivariateRandomForest_1.1.5.tgz, r-oldrel (arm64): MultivariateRandomForest_1.1.5.tgz, r-release (x86_64): MultivariateRandomForest_1.1.5.tgz, r-oldrel (x86_64): MultivariateRandomForest_1.1.5.tgz
Old sources: MultivariateRandomForest archive

Reverse dependencies:

Reverse imports: IntegratedMRF, MulvariateRandomForestVarImp
Reverse enhances: joinet


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