marErnmLikelihood

This function approximates the likelihood around a sample
generated at parameters theta0. The likelihood is only
"trusted" within a vicinity of theta0. The size of this
vicinity is controlled by requiring a minimum effective
sample size (minESS) at theta + (theta - tehta0) * damping.

Estimation of fully and partially observed Exponential-Family Random Network Models (ERNM). Exponential-family Random Graph Models (ERGM) and Gibbs Fields are special cases of ERNMs and can also be estimated with the package. Please cite Fellows and Handcock (2012), "Exponential-family Random Network Models" available at <doi:10.48550/arXiv.1208.0121>.

Duncan Clark

ernm

Exponential-Family Random Network Models

Ian Fellows

marErnmLikelihood function

<dl><dt>theta</dt>
<dd>parameters</dd>
<dt>sample</dt>
<dd>mcmc sample</dd>
<dt>theta0</dt>
<dd>parameter values which generated sample</dd>
<dt>stats</dt>
<dd>observed statistics</dd>
<dt>minEss</dt>
<dd>minimum effective sample size</dd>
<dt>damping</dt>
<dd>a damping parameter</dd></dl>

Arguments

Likelihood for an ernm with missing data — marErnmLikelihood

<dl>

<dt>theta</dt>
<dd>parameters</dd>


<dt>sample</dt>
<dd>mcmc sample</dd>


<dt>theta0</dt>
<dd>parameter values which generated sample</dd>


<dt>stats</dt>
<dd>observed statistics</dd>


<dt>minEss</dt>
<dd>minimum effective sample size</dd>


<dt>damping</dt>
<dd>a damping parameter</dd>

</dl>

marErnmLikelihood: Likelihood for an ernm with missing data

Description

Usage

Value

Arguments