DirichletRF: "Dirichlet Random Forest"
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).
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