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 gmail.com> License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] NeedsCompilation: yes CRAN checks: MultivariateRandomForest results Documentation: Reference manual: MultivariateRandomForest.pdf Downloads: 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 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: MulvariateRandomForestVarImp Reverse suggests: joinet Linking:Please use the canonical form https://CRAN.R-project.org/package=MultivariateRandomForest to link to this page.
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