
phat( x, round = 3 )
S3
class "bdgraph"
, from function bdgraph
.R
Package for Bayesian Structure Learning in Graphical Models, arXiv:1501.05108
Mohammadi, A., F. Abegaz Yazew, E. van den Heuvel, and E. Wit (2015). Bayesian Gaussian Copula Graphical Modeling for Dupuytren Disease, arXiv:1501.04849bdgraph
and bdgraph.sim
# Generating multivariate normal data from a 'circle' graph
data.sim <- bdgraph.sim( n = 70, p = 6, graph = "circle", vis = TRUE )
output <- bdgraph( data = data.sim, iter = 10000 )
phat( output, round = 2 )
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