Convert an ERGMM Object to an MCMC list object for Diagnostics.
## S3 method for class 'list.ergmm' as.mcmc(x, burnin = FALSE, which.vars = NULL, vertex.i = c(1), ...)
x |
An object of class |
burnin |
If |
which.vars |
A named list mapping variable names to the indices to include. If given, overrides the defaults and all arguments that follow. |
vertex.i |
A numeric vector of vertices whose latent space coordinates and random effects to include. |
... |
Not used at this time. |
Unless which.vars
is specified, the mcmc.list
returned also includes all of the covariate coefficients.
Regardless of whether the MCMC run was single- or multi-threaded, this
function returns an mcmc.list
, with a single thread, if
necessary.
A mcmc.list
object with the sample of the
selected subset of the variables.
library(coda) data(sampson) monks.fit<-ergmm(samplike~euclidean(d=2,G=3)) monks.fit.mcmc<-as.mcmc.list(monks.fit) plot(monks.fit.mcmc) raftery.diag(monks.fit.mcmc)
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