# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "bgms" in publications use:' type: software license: GPL-2.0-or-later title: 'bgms: Bayesian Analysis of Graphical Models' version: 0.2.0.0 identifiers: - type: doi value: 10.32614/CRAN.package.bgms abstract: 'Bayesian estimation and edge selection for graphical models of mixed binary, ordinal, and continuous variables. The variable types determine the model: an ordinal Markov random field for discrete data, a Gaussian graphical model for continuous data, or a mixed Markov random field combining both. Edge inclusion is determined through spike-and-slab priors, yielding posterior inclusion probabilities for each edge. Supports multi-group comparison via ''bgmCompare()'', simulation, prediction, and missing data imputation.' authors: - family-names: Marsman given-names: Maarten email: m.marsman@uva.nl orcid: https://orcid.org/0000-0001-5309-7502 - family-names: Bergh given-names: Don name-particle: van den orcid: https://orcid.org/0000-0002-9838-7308 preferred-citation: type: manual title: 'bgms: Bayesian Analysis of Graphical Models' authors: - family-names: Marsman given-names: Maarten email: m.marsman@uva.nl orcid: https://orcid.org/0000-0001-5309-7502 - family-names: Bergh given-names: Don name-particle: van den orcid: https://orcid.org/0000-0002-9838-7308 year: '2026' notes: R package version 0.2.0.0 url: https://CRAN.R-project.org/package=bgms repository: https://bayesian-graphical-modelling-lab.r-universe.dev repository-code: https://github.com/Bayesian-Graphical-Modelling-Lab/bgms commit: 9f85b8a8f23f96af740dc76e894459cf2303990b url: https://Bayesian-Graphical-Modelling-Lab.github.io/bgms/ date-released: '2026-03-26' contact: - family-names: Marsman given-names: Maarten email: m.marsman@uva.nl orcid: https://orcid.org/0000-0001-5309-7502 references: - type: article title: Bayesian analysis of the ordinal Markov random field authors: - family-names: Marsman given-names: Maarten - family-names: Bergh given-names: Don name-particle: van den - family-names: Haslbeck given-names: Jolanda M. B. journal: Psychometrika year: '2025' volume: '90' issue: '1' doi: 10.1017/psy.2024.4 start: '146' end: '182' - type: article title: Bayes factor tests for group differences in ordinal and binary graphical models authors: - family-names: Marsman given-names: Maarten - family-names: Waldorp given-names: Lourens J. - family-names: Sekulovski given-names: Nikola - family-names: Haslbeck given-names: Jolanda M. B. journal: Psychometrika year: '2025' volume: '90' issue: '5' doi: 10.1017/psy.2025.10060 start: '1809' end: '1842' - type: generic title: A stochastic block prior for clustering in graphical models authors: - family-names: Sekulovski given-names: Nikola - family-names: Arena given-names: Giuseppe - family-names: Haslbeck given-names: Jolanda M. B. - family-names: Huth given-names: Karoline B. S. - family-names: Friel given-names: Nial - family-names: Marsman given-names: Maarten year: '2025' notes: PsyArXiv Preprints url: https://osf.io/preprints/psyarxiv/29p3m_v1