Description Usage Arguments Value Author(s) References See Also Examples

Provides a summary of the results for function `ssgraph`

.

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`object` |
An object of |

`round` |
A value for rounding all probabilities to the specified number of decimal places. |

`vis` |
Visualize the results. |

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

`selected_g` |
The adjacency matrix corresponding to the selected graph which has the highest posterior probability. |

`p_links` |
An upper triangular matrix corresponding to the posterior probabilities of all possible links. |

`K_hat` |
The estimated precision matrix. |

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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