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 |
| 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 |
| 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 imports: | CompositionalRF, IntegratedMRF, MulvariateRandomForestVarImp |
| Reverse suggests: | joinet |
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