as.mcmc.list.ergmm {latentnet} | R Documentation |
Functions to extract a subset of MCMC-sampled variables from an object of class
ergmm
and construct an mcmc.list
object.
## S3 method for class 'ergmm' as.mcmc(x, burnin = FALSE, which.vars = NULL, vertex.i = c(1), ...) ## S3 method for class 'ergmm' as.mcmc.list(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.
ergmm
,
mcmc.list
, mcmc.diagnostics.ergmm
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)