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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 "BGGM" in publications use:'
type: software
license: GPL-2.0-only
title: 'BGGM: Bayesian Gaussian Graphical Models'
version: 2.1.6.9000
identifiers:
- type: doi
  value: 10.32614/CRAN.package.BGGM
abstract: 'Fit Bayesian Gaussian graphical models. The methods are separated into
  two Bayesian approaches for inference: hypothesis testing and estimation. There
  are extensions for confirmatory hypothesis testing, comparing Gaussian graphical
  models, and node wise predictability. These methods were recently introduced in
  the Gaussian graphical model literature, including Williams (2019) <https://doi.org/10.31234/osf.io/x8dpr>,
  Williams and Mulder (2019) <https://doi.org/10.31234/osf.io/ypxd8>, Williams, Rast,
  Pericchi, and Mulder (2019) <https://doi.org/10.31234/osf.io/yt386>.'
authors:
- family-names: Williams
  given-names: Donald
  email: drwwilliams@ucdavis.edu
- family-names: Mulder
  given-names: Joris
  email: J.Mulder3@uvt.nl
- family-names: Rast
  given-names: Philippe
  email: rast.ph@gmail.com
preferred-citation:
  type: article
  title: 'BGGM: Bayesian Gaussian Graphical Models in R'
  authors:
  - family-names: Williams
    given-names: Donald R.
  - family-names: Mulder
    given-names: Joris
    email: J.Mulder3@uvt.nl
  year: '2019'
  journal: PsyArXiv
  notes: R package version 2.1.6.9000
  url: https://osf.io/preprints/psyarxiv/t2cn7
repository: https://rast-lab.r-universe.dev
repository-code: https://github.com/rast-lab/BGGM
commit: a324cb7d94d7f25451447f7dd1e29005eda39b22
url: https://rast-lab.github.io/BGGM/
date-released: '2026-05-19'
contact:
- family-names: Rast
  given-names: Philippe
  email: rast.ph@gmail.com
references:
- type: article
  title: 'Bayesian estimation for Gaussian graphical models: Structure learning, predictability,
    and network comparisons'
  authors:
  - family-names: Williams
    given-names: Donald R.
  year: '2018'
  journal: PsyArXiv
  url: https://osf.io/preprints/psyarxiv/x8dpr/
  doi: 10.31234/osf.io/x8dpr
- type: article
  title: 'Bayesian hypothesis testing for Gaussian graphical models: Conditional independence
    and order constraints'
  authors:
  - family-names: Williams
    given-names: Donald R.
  - family-names: Mulder
    given-names: Joris
  year: '2019'
  journal: PsyArXiv
  url: https://osf.io/preprints/psyarxiv/ypxd8/
  doi: 10.31234/osf.io/ypxd8
- type: article
  title: Comparing Gaussian graphical models with the posterior predictive distribution
    and Bayesian model selection.
  authors:
  - family-names: Williams
    given-names: Donald R.
  - family-names: Philipe
    given-names: Rast
  - family-names: Luis
    given-names: Pericchi R.
  - family-names: Mulder
    given-names: Joris
  year: '2020'
  journal: Psychological Methods
  url: https://doi.org/10.1037/met0000254
  doi: 10.1037/met0000254