BDgraph (version 2.19)

print.simulate: Print function for S3 class "simulate"

Description

Print the information about the type of data, the sample size, the graph type, the number of nodes, number of links and sparsity of the true graph.

Usage

## S3 method for class 'simulate':
print( x, ... )

Arguments

x

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

...

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 preprint arXiv:1501.05108v2 Mohammadi, A., F. Abegaz Yazew, E. van den Heuvel, and E. Wit (2015). Bayesian Modeling of Dupuytren Disease Using Gaussian Copula Graphical Models, Arxiv preprint arXiv:1501.04849v2

See Also

bdgraph.sim

Examples

# generating multivariate normal data from a 'random' graph 
data.sim <- bdgraph.sim( n = 20, p = 10, vis = TRUE )

print( data.sim )