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CompositionalRF  

Multivariate Random Forest with Compositional Responses
View on CRAN: Click here


Download and install CompositionalRF package within the R console
Install from CRAN:
install.packages("CompositionalRF")

Install from Github:
library("remotes")
install_github("cran/CompositionalRF")

Install by package version:
library("remotes")
install_version("CompositionalRF", "1.4")



Attach the package and use:
library("CompositionalRF")
Maintained by
Michail Tsagris
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-10-02
Latest Update: 2025-07-10
Description:
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.
How to cite:
Michail Tsagris (2024). CompositionalRF: Multivariate Random Forest with Compositional Responses. R package version 1.4, https://cran.r-project.org/web/packages/CompositionalRF. Accessed 09 Mar. 2026.
Previous versions and publish date:
1.0 (2024-10-02 16:00), 1.1 (2025-05-07 14:30), 1.2 (2025-05-29 18:10), 1.3 (2025-07-10 17:10), 1.4 (2025-09-08 00:10)
Other packages that cited CompositionalRF R package
View CompositionalRF citation profile
Other R packages that CompositionalRF depends, imports, suggests or enhances
Complete documentation for CompositionalRF
Functions, R codes and Examples using the CompositionalRF R package
Full CompositionalRF package functions and examples
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