latentnet (version 2.0)

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

Description

A function to extract a subset of MCMC samples from an object of class ergmm to an mcmc.list object.

Usage

## 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))

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 to include.

Value

• A mcmc.list object with the samples of the selected subset of the variables.

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.

See Also

ergmm,mcmc, mcmc.list, mcmc.diagnostics.ergmm

Examples

library(coda)
data(sampson)
monks.fit<-ergmm(samplike~latent(d=2,G=3))
monks.fit.mcmc<-as.mcmc(monks.fit)
plot(monks.fit.mcmc)
raftery.diag(monks.fit.mcmc)