as.mcmc.list.ergmm {latentnet} | R Documentation |
Convert an ERGMM Object to an MCMC list object for Diagnostics.
Description
Functions to extract a subset of MCMC-sampled variables from an object of
class ergmm
and construct an
mcmc.list
object.
Usage
## S3 method for class 'list.ergmm'
as.mcmc(x, burnin = FALSE, which.vars = NULL, vertex.i = c(1), ...)
Arguments
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. |
Details
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.
Value
A mcmc.list
object with the sample of the
selected subset of the variables.
See Also
ergmm
, mcmc.list
,
mcmc.diagnostics.ergmm
Examples
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)