BDgraph (version 2.25)

plinks: Estimated posterior link probabilities

Description

Provides the estimated posterior link probabilities for all possible links in the graph.

Usage

plinks( bdgraph.obj, round = 3 )

Arguments

bdgraph.obj

An object of S3 class "bdgraph", from function bdgraph.

round

A value for rounding all probabilities to the specified number of decimal places (default is 3).

Value

• p_links
  An upper triangular matrix which corresponds the estimated posterior probabilities for all possible links.

References

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:1501.05108 Mohammadi, A., F. Abegaz Yazew, E. van den Heuvel, and E. Wit (2015). Bayesian Gaussian Copula Graphical Modeling for Dupuytren Disease, arXiv:1501.04849

See Also

bdgraph and bdgraph.sim

Examples

# Generating multivariate normal data from a 'circle' graph
	data.sim <- bdgraph.sim( n = 70, p = 6, graph = "circle", vis = TRUE )
   
	bdgraph.obj   <- bdgraph( data = data.sim, iter = 10000 )
  
	plinks( bdgraph.obj, round = 2 )