CompositionalRF: Multivariate Random Forest with Compositional Responses

Non linear regression with compositional responses and Euclidean predictors is performed. The compositional data are first transformed using the additive log-ratio transformation, and then the multivariate random forest of Rahman R., Otridge J. and Pal R. (2017), <doi:10.1093/bioinformatics/btw765>, is applied.

Version: 1.0
Depends: R (≥ 4.0)
Imports: Compositional, doParallel, foreach, MultivariateRandomForest, Rfast, stats
Published: 2024-10-02
DOI: 10.32614/CRAN.package.CompositionalRF
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris at uoc.gr>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: CompositionalRF results

Documentation:

Reference manual: CompositionalRF.pdf

Downloads:

Package source: CompositionalRF_1.0.tar.gz
Windows binaries: r-devel: CompositionalRF_1.0.zip, r-release: CompositionalRF_1.0.zip, r-oldrel: CompositionalRF_1.0.zip
macOS binaries: r-release (arm64): CompositionalRF_1.0.tgz, r-oldrel (arm64): CompositionalRF_1.0.tgz, r-release (x86_64): CompositionalRF_1.0.tgz, r-oldrel (x86_64): CompositionalRF_1.0.tgz

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