Last data update: 2014.03.03
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R: Convert an ERGMM Object to an MCMC list object for...
as.mcmc.list.ergmm | R Documentation |
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 '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 .
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burnin |
If TRUE , generates an
mcmc.list object for the burnin (if stored)
instead of the main sampling run.
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which.vars |
A named list mapping variable names to the indices
to include. If given, overrides the defaults and all arguments that follow.
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vertex.i |
A numeric vector of vertices whose latent space
coordinates and random effects to include.
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... |
Not used at this time.
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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)
Results
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