traceplot: Trace plot of graph size

Description Usage Arguments Author(s) References See Also Examples

View source: R/traceplot.R

Description

Trace plot for graph size for the objects of S3 class "bdgraph", from function bdgraph. It is a tool for monitoring the convergence of the sampling algorithms, BDMCMC and RJMCMC.

Usage

1
 traceplot ( bdgraph.obj, acf = FALSE, pacf = FALSE, main = NULL, ... ) 

Arguments

bdgraph.obj

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

acf

Visualize the autocorrelation functions for graph size.

pacf

Visualize the partial autocorrelations for graph size.

main

Graphical parameter (see plot).

...

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:1501.05108

Dobra, A. and A. Mohammadi (2017). Loglinear Model Selection and Human Mobility, arXiv preprint arXiv:1711.02623

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

Examples

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## 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, iter = 10000, burnin = 0, save.all = TRUE )
   
traceplot( bdgraph.obj )
   
traceplot( bdgraph.obj, acf = TRUE, pacf = TRUE )

## End(Not run)

BDgraph documentation built on Nov. 19, 2017, 1:04 a.m.