Williams DR, Mulder J (2019).“BGGM: Bayesian Gaussian Graphical Models in R.”PsyArXiv.R package version 2.1.6,https://osf.io/preprints/psyarxiv/t2cn7.
Williams DR (2018).“Bayesian estimation for Gaussian graphical models:Structure learning, predictability, and network comparisons.”PsyArXiv.doi:10.31234/osf.io/x8dpr,https://osf.io/preprints/psyarxiv/x8dpr/.
Williams DR, Mulder J (2019).“Bayesian hypothesis testing for Gaussian graphicalmodels: Conditional independence and order constraints.”PsyArXiv.doi:10.31234/osf.io/ypxd8,https://osf.io/preprints/psyarxiv/ypxd8/.
Williams DR, Philipe R, Luis PR, Mulder J (2020).“Comparing Gaussian graphical models with the posterior predictivedistribution and Bayesian model selection.”Psychological Methods.doi:10.1037/met0000254,https://doi.org/10.1037/met0000254.
Corresponding BibTeX entries:
@Article{, title = {BGGM: Bayesian Gaussian Graphical Models in R}, author = {Donald R. Williams and Joris Mulder}, year = {2019}, journal = {PsyArXiv}, note = {R package version 2.1.6}, url = {https://osf.io/preprints/psyarxiv/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://osf.io/preprints/psyarxiv/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://osf.io/preprints/psyarxiv/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}, }