print.sim: Print function for 'S3' class '"sim"'

Description Usage Arguments Author(s) References See Also Examples

View source: R/bdgraph.sim.R

Description

Prints 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

1
2
 ## S3 method for class 'sim'
print( x, ... ) 

Arguments

x

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

...

System reserved (no specific usage).

Author(s)

Abdolreza Mohammadi and Ernst Wit

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. et al (2017). Bayesian modelling of Dupuytren disease by using Gaussian copula graphical models, Journal of the Royal Statistical Society: Series C

Mohammadi, A., Massam H., and G. Letac (2017). The Ratio of Normalizing Constants for Bayesian Graphical Gaussian Model Selection, arXiv preprint arXiv:1706.04416

See Also

bdgraph.sim

Examples

1
2
3
4
5
6
7
## Not run: 
# Generating multivariate normal data from a 'random' graph 
data.sim <- bdgraph.sim( n = 20, p = 10, vis = TRUE )
   
print( data.sim )

## End(Not run)

BDgraph documentation built on Aug. 14, 2017, 5:10 p.m.