merge.ergmm prodcues a ergmm
object containing the combined MCMC output (and derived estimates) of
several ergmm objects produced with the
same input parameters but different starting values, random seeds, etc..
Usage
## S3 method for class 'ergmm'
merge(x, y, ..., verbose = FALSE)
Arguments
x
The first ergmm object to be
merged.
y
The second ergmm object to be merged.
...
Additional ergmm objects to
be merged.
verbose
If TRUE, marks the progress of merging.
Value
An object of class
ergmm.
See Also
ergmm.object,
ergmm
Examples
data(sampson)
# Run two short MCMC-based fits.
samp.fit1 <- ergmm(samplike ~ euclidean(d=2, G=3),
control=ergmm.control(burnin=1000,interval=10,sample.size=2000))
samp.fit2 <- ergmm(samplike ~ euclidean(d=2, G=3),
control=ergmm.control(burnin=1000,interval=10,sample.size=2000))
# Combine them, and summarize the result.
samp.fit <- merge.ergmm(samp.fit1,samp.fit2)
summary(samp.fit)