R: Goodness-of-fit methods for STERGM CMLE and CMPLE fits

gof.stergm {tergm} | R Documentation

## Goodness-of-fit methods for STERGM CMLE and CMPLE fits

### Description

For now, these are simple wrappers around `gof.ergm`, `print.gofobject`, `summary.gofobject`, and `plot.gofobject`, respectively, to run goodness-of-fit for formation and dissolution models separately. This may change in the future.

### Usage

    ## S3 method for class 'stergm'
    gof(object, ...)
    ## S3 method for class 'gof.stergm'
    print(x, ...)
    ## S3 method for class 'gof.stergm'
    summary(object, ...)
    ## S3 method for class 'gof.stergm'
    plot(x, ..., main="Goodness-of-fit diagnostics")

### Arguments

`object, x` | For `gof.stergm`, `stergm` conditional MLE (CMLE) or conditional MPLE (CMPLE) fit. For the others, a `gof.stergm` object returned by `gof.stergm`.
`main` | Gives the title of the goodness-of-fit plots, which will have "Formation:" and "Dissolution:" prepended to it.
`...` | Additional arguments passed through to the respective functions in the `ergm` package.

### Value

For `gof.stergm`, an object of class `gof.stergm`, which is simply a list with two named elements: `formation` and `dissolution`, each of them a `gofobject` returned by `gof.ergm`.

For the others, nothing.

### See Also

stergm, ergm, simulate.stergm, print.gofobject, plot.gofobject, summary.gofobject, mcmc.diagnostics.ergm

### Examples

    data(samplk)

    # Fit a transition from Time 1 to Time 2
    samplk12 <- stergm(list(samplk1, samplk2),
                       formation=~edges+mutual+transitiveties+cyclicalties,
                       dissolution=~edges+mutual+transitiveties+cyclicalties,
                       estimate="CMLE")

    samplk12.gof <- gof(samplk12)

    samplk12.gof

    summary(samplk12.gof)

    plot(samplk12.gof)

    plot(samplk12.gof, plotlogodds=TRUE)

[Package tergm version 3.4.1 Index]