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