# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "BDgraph" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'BDgraph: Bayesian Structure Learning in Graphical Models using Birth-Death
  MCMC'
version: '2.73'
doi: 10.18637/jss.v089.i03
identifiers:
- type: doi
  value: 10.32614/CRAN.package.BDgraph
abstract: Advanced statistical tools for Bayesian structure learning in undirected
  graphical models, accommodating continuous, ordinal, discrete, count, and mixed
  data. It integrates recent advancements in Bayesian graphical models as presented
  in the literature, including the works of Mohammadi and Wit (2015) <https://doi.org/10.1214/14-BA889>,
  Mohammadi et al. (2021) <https://doi.org/10.1080/01621459.2021.1996377>, Dobra and
  Mohammadi (2018) <https://doi.org/10.1214/18-AOAS1164>, and Mohammadi et al. (2023)
  <https://doi.org/10.48550/arXiv.2307.00127>.
authors:
- family-names: Mohammadi
  given-names: Reza
  email: a.mohammadi@uva.nl
  orcid: https://orcid.org/0000-0001-9538-0648
- family-names: Wit
  given-names: Ernst
  orcid: https://orcid.org/0000-0002-3671-9610
preferred-citation:
  type: article
  title: 'BDgraph: An R Package for Bayesian Structure Learning in Graphical Models'
  authors:
  - family-names: Mohammadi
    given-names: Reza
    email: a.mohammadi@uva.nl
    orcid: https://orcid.org/0000-0001-9538-0648
  journal: Journal of Statistical Software
  year: '2019'
  volume: '89'
  issue: '3'
  doi: 10.18637/jss.v089.i03
  url: https://www.jstatsoft.org/article/view/v089i03
  start: '1'
  end: '30'
repository: https://CRAN.R-project.org/package=BDgraph
url: https://www.uva.nl/profile/a.mohammadi
date-released: '2024-08-23'
contact:
- family-names: Mohammadi
  given-names: Reza
  email: a.mohammadi@uva.nl
  orcid: https://orcid.org/0000-0001-9538-0648