plotcoda {BDgraph} | R Documentation |
Convergence plot
Description
Visualizes the cumulative occupancy fractions of all possible links in the graph. It can be used for monitoring the convergence of the sampling algorithms, BDMCMC and RJMCMC.
Usage
plotcoda( bdgraph.obj, thin = NULL, control = TRUE, main = NULL,
verbose = TRUE, ... )
Arguments
bdgraph.obj |
object of |
thin |
option for getting fast result for a cumulative plot according to part of the iteration. |
control |
logical: if TRUE (default) and the number of nodes is greater than 15, then 100 links randomly is selected for visualization. |
main |
graphical parameter (see plot). |
verbose |
logical: if TRUE (default), report/print the calculation progress. |
... |
system reserved (no specific usage). |
Details
Note that a spending time for this function depends on the number of nodes.
For fast result, you can choose bigger value for the 'thin'
option.
Author(s)
Reza Mohammadi a.mohammadi@uva.nl
References
Mohammadi, R. and Wit, E. C. (2019). BDgraph: An R
Package for Bayesian Structure Learning in Graphical Models, Journal of Statistical Software, 89(3):1-30, doi:10.18637/jss.v089.i03
See Also
bdgraph
, bdgraph.mpl
, traceplot
Examples
## Not run:
# Generating multivariate normal data from a 'circle' graph
data.sim <- bdgraph.sim( n = 50, p = 6, graph = "circle", vis = TRUE )
bdgraph.obj <- bdgraph( data = data.sim, iter = 10000, burnin = 0 , save = TRUE )
plotcoda( bdgraph.obj )
## End(Not run)