R: Bridge sampling to estiamte log-likelihood of an ERGM, using...

ergm.bridge.dindstart.llk {ergm}

R Documentation

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, 
                            response=NULL,
                            constraints=~.,
                            coef, 
                            dind=NULL, 
                            coef.dind=NULL,  
                            basis=NULL, 
                            ..., 
                            llkonly=TRUE, 
                            control=control.ergm.bridge())

Arguments

`object`	A model formula. See `ergm` for details.
`response`	The name of the edge attribute that is the response. Note that it's included solely for consistency, since `ergm.bridge.dindstart.llk` can only handle binary ERGMs.
`constraints`	A model constraints formula. See `ergm` for details. Note that only constraints that do not induce dyadic dependence can be handled by `ergm.bridge.dindstart.llk`.
`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.dind`	The log-likelihood of the dyad-independence model.
`llk`	The estimated log-likelihood.

References