CompositionalRF
Multivariate Random Forest with Compositional Responses
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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.6 |
rolling linux/jammy R-4.5 | CompositionalRF_1.6.tar.gz |
115.5 KiB |
1.6 |
rolling linux/noble R-4.5 | CompositionalRF_1.6.tar.gz |
117.2 KiB |
1.6 |
rolling source/ R- | CompositionalRF_1.6.tar.gz |
18.0 KiB |
1.6 |
latest linux/jammy R-4.5 | CompositionalRF_1.6.tar.gz |
115.5 KiB |
1.6 |
latest linux/noble R-4.5 | CompositionalRF_1.6.tar.gz |
117.2 KiB |
1.6 |
latest source/ R- | CompositionalRF_1.6.tar.gz |
18.0 KiB |
1.6 |
2026-04-26 source/ R- | CompositionalRF_1.6.tar.gz |
18.0 KiB |
1.6 |
2026-04-23 source/ R- | CompositionalRF_1.6.tar.gz |
18.0 KiB |
1.6 |
2026-04-09 windows/windows R-4.5 | CompositionalRF_1.6.zip |
432.3 KiB |
1.0 |
2025-04-20 source/ R- | CompositionalRF_1.0.tar.gz |
3.6 KiB |