@Article{,
  title = {BGGM: Bayesian Gaussian Graphical Models in R},
  author = {Donald R. Williams and Joris Mulder},
  year = {2019},
  journal = {PsyArXiv},
  note = {R package version 2.0.0},
  url = {https://psyarxiv.com/t2cn7/},
}

@Article{,
  title = {Bayesian estimation for Gaussian graphical models:
         Structure learning, predictability, and network comparisons},
  author = {Donald R. Williams},
  year = {2018},
  journal = {PsyArXiv},
  url = {https://psyarxiv.com/x8dpr/},
  doi = {10.31234/osf.io/x8dpr},
}

@Article{,
  title = {Bayesian hypothesis testing for Gaussian graphical
         models: Conditional independence and order constraints},
  author = {Donald R. Williams and Joris Mulder},
  year = {2019},
  journal = {PsyArXiv},
  url = {https://psyarxiv.com/ypxd8/},
  doi = {10.31234/osf.io/ypxd8},
}

@Article{,
  title = {Comparing Gaussian graphical models with the posterior predictive
         distribution and Bayesian model selection.},
  author = {Donald R. Williams and Rast Philipe and Pericchi R. Luis and Joris Mulder},
  year = {2020},
  journal = {Psychological Methods},
  url = {https://doi.org/10.1037/met0000254},
  doi = {10.1037/met0000254},
}
  • Donald Williams. Author, maintainer.

  • Joris Mulder. Author.