BDgraph (version 2.33)

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 (2016). Bayesian modelling of Dupuytren disease by using Gaussian copula graphical models, Journal of the Royal Statistical Society: Series C

See Also

bdgraph and bdgraph.sim

Examples

	## Not run: ------------------------------------
# 	# 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 )
# 	
## ---------------------------------------------