ergmm.object: Class of Fitted Exponential Random Graph Mixed Models
Description
A class ergmm to represent a fitted exponential random graph
mixed model. The output of ergmm.Details
There are methods summary.ergmm,
plot.ergmm, predict.ergmm,
as.mcmc.ergmm, and as.mcmc.list.ergmm.
The structure of ergmm is as follows:
ll{
samples An object of class
ergmm.par.list containing the
MCMC sample from the posterior. If the run had multiple threads, their output is concatenated.
mcmc.mle An object of class
ergmm.par containing the parameter
configuration of the highest-likelihood MCMC iteration.
mcmc.pmode An object of class
ergmm.par containing the parameter
configuration of the highest-joint-density (conditional on cluster
assignments) MCMC iteration.
mkl An object of class
ergmm.par containing the MKL estimate.
model An object of class
ergmm.model containing the model
that was fitted.
prior A list containing the
information about the prior distribution used. It can be passed as
parameter prior to ergmm to reproduce the prior
in a new fit.
control A list containing the
information about the model fit settings that do not affect the
posterior distribution. It can be passed as
parameter control to ergmm to reproduce control
parameters in a new fit.
mle An object of class
ergmm.par containing the MLE,
conditioned on cluster assignments.
pmode An object of class
ergmm.par containing the posterior mode,
conditioned on cluster assignments.
burnin.start An object of class
ergmm.par containing the starting
value for the burnin.
main.start An object (or a list of objects, for a
multithreaded run) of class
ergmm.par containing the starting
value for the sampling.
}