| merge.ergmm {latentnet} | R Documentation | 
Merge two or more replications of ERGMM fits
Description
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..
Usage
## S3 method for class 'ergmm'
merge(x, y, ..., verbose = FALSE)
Arguments
| x | The first  | 
| y | The second  | 
| ... | Additional  | 
| verbose | If  | 
Value
An object of class ergmm.
See Also
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(samp.fit1,samp.fit2)
summary(samp.fit)
[Package latentnet version 2.11.0 Index]