ergmm.object {latentnet} | R Documentation |
A class ergmm
to represent a fitted exponential random graph
mixed model. The output of ergmm
.
There are methods summary.ergmm
,
plot.ergmm
, predict.ergmm
,
as.mcmc.ergmm
, and as.mcmc.list.ergmm
.
The structure of ergmm
is as follows:
sample | 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. |
ergmm
,
summary.ergmm
,
plot.ergmm
,
predict.ergmm
,
as.mcmc.ergmm
,
as.mcmc.list.ergmm