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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "DirichletRF" in publications use:'
type: software
license: GPL-3.0-only
title: 'DirichletRF: Dirichlet Random Forest'
version: 0.1.0
doi: 10.32614/CRAN.package.DirichletRF
abstract: 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).
authors:
- family-names: Masoumifard
  given-names: Khaled
  email: masoumifardk@yahoo.com
  orcid: https://orcid.org/0000-0003-1921-2145
- family-names: Westhuizen
  given-names: Stephan
  name-particle: van der
  email: stephanvdw@sun.ac.za
  orcid: https://orcid.org/0000-0001-9469-8427
- family-names: Lubbe
  given-names: Sugnet
  email: slubbe@sun.ac.za
  orcid: https://orcid.org/0000-0003-2762-9944
repository: https://xaleed.r-universe.dev
commit: 812ce362fb262616c72f85da34ab07d491a371ff
date-released: '2026-06-04'
contact:
- family-names: Masoumifard
  given-names: Khaled
  email: masoumifardk@yahoo.com
  orcid: https://orcid.org/0000-0003-1921-2145