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DirichletRF

"Dirichlet Random Forest"

v0.1.0 · Mar 23, 2026 · GPL-3

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).

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Check History

OK 13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Apr 22, 2026
ERROR 12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE Apr 18, 2026
ERROR r-devel-windows-x86_64

whether package can be installed

Installation failed.
See 'd:/Rcompile/CRANpkg/local/4.6/DirichletRF.Rcheck/00install.out' for details.
OK 5 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 23, 2026

Dependency Network

Dependencies Reverse dependencies Rcpp DirichletRF

Version History

1 tracked
new 0.1.0 Mar 23, 2026