| merge.ergmm | R Documentation |
A merge method for
ergmm objects, constructing an
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..
## S3 method for class 'ergmm'
merge(x, y, ..., verbose = FALSE)
x |
The first |
y |
The second |
... |
Additional |
verbose |
If |
An object of class ergmm.
ergmm.object, ergmm
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(samp.fit1,samp.fit2)
summary(samp.fit)
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