Functions to return the log-likelihood associated with a
`stergm`

CMLE fit, evaluating it if
necessary. See `logLik.ergm`

documentation for details
and caveats.

1 2 3 4 5 6 7 8 9 10 11 | ```
## 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(),
...)
``` |

`object` |
A |

`add` |
Logical: If TRUE, instead of
returning the log-likelihood, return |

`force.reeval` |
Logical: If TRUE,
reestimate the log-likelihood even if |

`eval.loglik` |
Logical: If TRUE,
evaluate the log-likelihood if not set on |

`control` |
A list of control parameters for algorithm
tuning. Constructed using |

`...` |
Other arguments to the likelihood functions. |

If the log-likelihood was not computed for `object`

,
produces an error unless `eval.loglik=TRUE`

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.

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

`logLik`

, `ergm.bridge.llr`

, `ergm.bridge.dindstart.llk`

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