as.mcmc.list.ergmm: Convert an ERGMM Object to an MCMC list object for...

In latentnet: Latent Position and Cluster Models for Statistical Networks

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 ergmm.
burnin	If TRUE, generates an mcmc.list object for the burnin (if stored) instead of the main sampling run.
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)

latentnet documentation built on May 11, 2022, 5:16 p.m.