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.

logLikNull method computes the null model likelihood. See ergm::logLikNull().

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.

A logLik method for stergm.