R: A 'logLik' method for 'stergm'.

logLik.stergm {tergm} | R Documentation

## A `logLik` method for `stergm`.

### Description

Functions to return the log-likelihood associated with a `stergm` CMLE fit, evaluating it if necessary. See `logLik.ergm` documentation for details and caveats.

### Usage

    ## S3 method for class 'stergm'
    logLik(object,
                          add=FALSE,
                          force.reeval=FALSE,
                          eval.loglik=add || force.reeval,
                          control=control.logLik.stergm(),
                          ...)

    ## S3 method for class 'stergm'
    logLikNull(object, control=control.logLik.stergm(),
                        ...)

### Arguments

`object` | A `stergm` fit, returned by `stergm`, for `estimate="CMLE"`.
`add` | Logical: If TRUE, instead of returning the log-likelihood, return `object` with log-likelihood value set.
`force.reeval` | Logical: If TRUE, reestimate the log-likelihood even if `object` already has an estiamte.
`eval.loglik` | Logical: If TRUE, evaluate the log-likelihood if not set on `object`.
`control` | A list of control parameters for algorithm tuning. Constructed using `control.logLik.ergm`.
`...` | Other arguments to the likelihood functions.

### Details

If the log-likelihood was not computed for `object`, produces an error unless `eval.loglik=TRUE`

### Value

For `logLik.stergm`, `add=FALSE` (the default), a `logLik` object. If `add=TRUE` (the default), an `ergm` object or a `stergm` object with the log-likelihood set. For `logLikNull.stergm`, a `logLik` object.

### References

Hunter, D. R. and Handcock, M. S. (2006) Inference in curved exponential family models for networks, Journal of Computational and Graphical Statistics.

### See Also

`logLik`, `ergm.bridge.llr`, `ergm.bridge.dindstart.llk`

[Package tergm version 3.4.1 Index]