R: Merge two or more replications of ERGMM fits

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 `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(samp.fit1,samp.fit2)
    summary(samp.fit)

[Package latentnet version 2.10.5 Index]