ergm.bridge.dindstart.llk: Bridge sampling to estiamte log-likelihood of an ERGM, using a dyad-independent ERGM as a staring point.

Description

This function is a wrapper around ergm.bridge.llr that uses a dyad-independent ERGM as a starting point for bridge sampling to estimate the log-likelihood for a given dyad-dependent model and parameter configuration. The dyad-independent model may be specified or can be chosen adaptively.

Usage

ergm.bridge.dindstart.llk(object, 
                            coef, 
                            dind=NULL, 
                            coef.dind=NULL,  
                            basis=NULL, 
                            ..., 
                            llkonly=TRUE, 
                            control=control.ergm.bridge())

Arguments

object

A model formula. See ergm for details.

coef

A vector of coefficients for the configuration of interest.

dind

A one-sided formula with the dyad-independent model to use as a starting point. Defaults to the dyad-independent terms found in the formula object with an overal density term (edges) added if not redundant.

coef.dind

Parameter configuration for the dyad-independent starting point. Defaults to the MLE of dind.

basis

An optional network object to start the Markov chain. If omitted, the default is the left-hand-side of the object.

...

Further arguments to ergm.bridge.llr and simulate.formula.ergm.

llkonly

Whether only the estiamted log-likelihood should be returned. (Defaults to TRUE.)

control

Control parameters. See control.ergm.bridge.

Value

If llkonly=TRUE, returns the scalar log-likelihood. Otherwise, returns a copy of the list returned by ergm.bridge.llr in addition to the following components:
llk.dindThe log-likelihood of the dyad-independence model.
llkThe estimated log-likelihood.

References

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

Description

Usage

Arguments

Value

References

See Also