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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 "moewishart" in publications use:'
type: software
license: GPL-3.0-only
title: 'moewishart: Mixture-of-Experts Wishart Models for Covariance Data'
version: '1.2'
doi: 10.32614/CRAN.package.moewishart
identifiers:
- type: doi
  value: 10.32614/CRAN.package.moewishart
abstract: Methods for maximum likelihood and Bayesian estimation for the Wishart mixture
  model and the mixture-of-experts Wishart (MoE-Wishart) model. The package provides
  four inference algorithms for these models, each implemented using the expectation–maximization
  (EM) algorithm for maximum likelihood estimation and a fully Bayesian approach via
  Gibbs-within-Metropolis–Hastings sampling.
authors:
- family-names: Mai
  given-names: The Tien
- family-names: Zhao
  given-names: Zhi
  email: zhi.zhao@medisin.uio.no
preferred-citation:
  type: manual
  title: 'moewishart: Mixture-of-Experts Wishart Models for Covariance Data'
  authors:
  - family-names: Mai
    given-names: The Tien
  - family-names: Zhao
    given-names: Zhi
    email: zhi.zhao@medisin.uio.no
  year: '2026'
  notes: R package version 1.0
  doi: 10.32614/CRAN.package.moewishart
repository: https://zhizuio.r-universe.dev
repository-code: https://github.com/zhizuio/moewishart
commit: 405de4db6aea6850a28adf63fb39ee31d40943c3
url: https://github.com/zhizuio/moewishart
date-released: '2026-06-04'
contact:
- family-names: Zhao
  given-names: Zhi
  email: zhi.zhao@medisin.uio.no
references:
- type: generic
  title: Mixture-of-experts Wishart model for covariance matrices with an application
    to Cancer drug screening
  authors:
  - family-names: Mai
    given-names: The Tien
  - family-names: Zhao
    given-names: Zhi
  year: '2026'
  notes: arXiv:2602.13888
  doi: 10.48550/arXiv.2602.13888