BDgraph (version 2.33)

print.bdgraph: Print function for

Description

Prints the information about the selected graph which could be a graph with links for which their estimated posterior probabilities are greater than 0.5 or graph with the highest posterior probability. It provides adjacency matrix, size and posterior probability of the selected graph.

Usage

# S3 method for bdgraph
print( x, round = 3, ... )

Arguments

x

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

round

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

…

System reserved (no specific usage).

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

Examples

## Not run: ------------------------------------
# # Generating multivariate normal data from a 'random' graph
# data.sim <- bdgraph.sim( n = 50, p = 6, vis = TRUE )
#   
# bdgraph.obj <- bdgraph( data = data.sim )
#    
# print( bdgraph.obj )
## ---------------------------------------------