The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
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 |
| Reference manual: | CompositionalRF.pdf |
| 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 |
Please use the canonical form https://CRAN.R-project.org/package=CompositionalRF to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.