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DirichletRF  

"Dirichlet Random Forest"
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("DirichletRF", "0.1.0")



Attach the package and use:
library("DirichletRF")
Maintained by
Khaled Masoumifard
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-03-23
Latest Update: 2026-03-23
Description:
Implementation of the Dirichlet Random Forest algorithm for compositional response data. Supports maximum likelihood estimation ('MLE') and method-of-moments ('MOM') parameter estimation for the Dirichlet distribution. Provides two prediction strategies; averaging-based predictions (average of responses within terminal nodes) and parameter-based predictions (expected value derived from the estimated Dirichlet parameters within terminal nodes). For more details see Masoumifard, van der Westhuizen, and Gardner-Lubbe (2026, ISBN:9781032903910).
How to cite:
Khaled Masoumifard (2026). DirichletRF: "Dirichlet Random Forest". R package version 0.1.0, https://cran.r-project.org/web/packages/DirichletRF. Accessed 21 Aug. 2026.
Previous versions and publish date:
0.1.0 (2026-03-23 18:40), (2026-07-23 23:30)
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Functions, R codes and Examples using the DirichletRF R package
Full DirichletRF package functions and examples
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