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S3
class "bdgraph"
, from function bdgraph
.
It is a tool for monitoring the convergence of the sampling algorithms, BDMCMC and RJMCMC.traceplot ( x, acf = FALSE, pacf = FALSE, main = NULL, ... )
S3
class "bdgraph"
, from function bdgraph
.R
Package for Bayesian Structure Learning in Graphical Models, arXiv:1501.05108
Mohammadi, A., F. Abegaz Yazew, E. van den Heuvel, and E. Wit (2015). Bayesian Gaussian Copula Graphical Modeling for Dupuytren Disease, arXiv:1501.04849bdgraph
# generating multivariate normal data from a 'random' graph
data.sim <- bdgraph.sim( n = 50, p = 6, size = 7, vis = TRUE )
output <- bdgraph( data = data.sim, iter = 10000, burnin = 0, save.all = TRUE )
traceplot( output )
traceplot( output, acf = TRUE, pacf = TRUE )
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