BDgraph (version 2.33)

select: Graph selection

Description

Provides the selected graph which, based on input, could be a graph with links for which their estimated posterior probabilities are greater than 0.5 (as a default) or a graph with the highest posterior probability; see examples.

Usage

select( bdgraph.obj, cut = NULL, vis = FALSE )

Arguments

bdgraph.obj

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

cut

Threshold for including the links in the selected graph based on the estimated posterior probabilities of the links; see the examples.

vis

Visualize the selected graph structure. The default value is FALSE.

Value

G

An adjacency matrix corresponding to the selected graph.

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, size = 7, vis = TRUE )
#   
# bdgraph.obj <- bdgraph( data = data.sim )
#    
# select( bdgraph.obj )
#   
# bdgraph.obj <- bdgraph( data = data.sim, save.all = TRUE )
#   
# select( bdgraph.obj )
#   
# select( bdgraph.obj, cut = 0.5, vis = TRUE )
## ---------------------------------------------