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# CITATION.cff 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 "nrMCmix" in publications use:'
type: software
license: MIT
title: 'nrMCmix: Non-Reversible Markov Chains for Bayesian Mixture Models'
version: '0.3'
abstract: 'Provides Bayesian inference for finite and infinite mixture models using
  Markov chain Monte Carlo (MCMC) methods. Supports Gaussian, multivariate Gaussian,
  Poisson, Binomial, and multivariate Bernoulli mixture kernels with different covariance
  structures and flexible prior specifications. Provides tools for data generation,
  posterior density evaluation, clustering and similarity analysis, and advanced MCMC
  sampling strategies, including reversible and non-reversible samplers: Ascolani
  et al. (2026) <https://doi.org/10.48550/arXiv.2510.03226>, informed proposals: Zanella
  (2020) <https://doi.org/10.1080/01621459.2019.1585255>, collapsed Gibbs sampling:
  Diebolt and Robert (1994) <https://doi.org/10.1111/j.2517-6161.1994.tb01985.x>,
  and split-and-merge samplers: Dahl and Newcomb (2021) <https://doi.org/10.1080/00949655.2021.1998502>.'
authors:
- family-names: Ascolani
  given-names: Filippo
  email: filippo.ascolani@duke.edu
  orcid: https://orcid.org/0009-0009-3899-8877
- family-names: Manildo
  given-names: Paolo
  email: paolo.manildo@studenti.unipd.it
  orcid: https://orcid.org/0009-0006-7056-7012
- family-names: Zanella
  given-names: Giacomo
  email: giacomo.zanella@unibocconi.it
  orcid: https://orcid.org/0000-0001-6727-9884
repository: https://cran.r-universe.dev
commit: 4c7dcc5d817d6c702b24c3e6e49f0dbf9e9fb6dc
date-released: '2026-10-13'
contact:
- family-names: Manildo
  given-names: Paolo
  email: paolo.manildo@studenti.unipd.it
  orcid: https://orcid.org/0009-0006-7056-7012