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Multivariate random forests with compositional responses and Euclidean predictors is performed. The compositional data are first transformed using the additive log-ratio transformation, or the alpha-transformation of Tsagris, Preston and Wood (2011), <doi:10.48550/arXiv.1106.1451>, and then the multivariate random forest of Rahman R., Otridge J. and Pal R. (2017), <doi:10.1093/bioinformatics/btw765>, is applied.
Package details |
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Author | Michail Tsagris [aut, cre], Christos Adam [aut] |
Maintainer | Michail Tsagris <mtsagris@uoc.gr> |
License | GPL (>= 2) |
Version | 1.4 |
Package repository | View on CRAN |
Installation |
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