Prints the information about the type of data, the sample size, the graph type, the number of nodes, number of links and sparsity of the true graph.
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Abdolreza Mohammadi and Ernst Wit
Mohammadi, A. and E. Wit (2015). Bayesian Structure Learning in Sparse Gaussian Graphical Models, Bayesian Analysis, 10(1):109-138
Mohammadi, A. and E. Wit (2015). BDgraph: An
R Package for Bayesian Structure Learning in Graphical Models, arXiv:1501.05108v2
Mohammadi, A. et al (2017). Bayesian modelling of Dupuytren disease by using Gaussian copula graphical models, Journal of the Royal Statistical Society: Series C
Mohammadi, A., Massam H., and G. Letac (2017). The Ratio of Normalizing Constants for Bayesian Graphical Gaussian Model Selection, arXiv:1706.04416
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