Description Usage Arguments Author(s) References See Also Examples

Visualizes structure of the selected graphs which could be a graph with links for which their estimated posterior probabilities are greater than 0.5 or graph with the highest posterior probability.

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`x ` |
An object of |

`cut ` |
Threshold for including the links in the selected graph based on the estimated posterior probabilities of the links; See the examples. |

`...` |
System reserved (no specific usage). |

Reza Mohammadi a.mohammadi@uva.nl

Mohammadi, R. and Wit, E. C. (2019). BDgraph: An `R`

Package for Bayesian Structure Learning in Graphical Models, *Journal of Statistical Software*, 89(3):1-30

Mohammadi, A. and Wit, E. C. (2015). Bayesian Structure Learning in Sparse Gaussian Graphical Models, *Bayesian Analysis*, 10(1):109-138

Mohammadi, A. et al (2017). Bayesian modelling of Dupuytren disease by using Gaussian copula graphical models, *Journal of the Royal Statistical Society: Series C*, 66(3):629-645

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