simulateStatistics

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

simulateStatistics function

<dl><dt>formula</dt>
<dd>the model formula</dd>
<dt>theta</dt>
<dd>model parameters</dd>
<dt>nodeSamplingPercentage</dt>
<dd>how often the nodes should be toggled</dd>
<dt>mcmcBurnIn</dt>
<dd>burn in</dd>
<dt>mcmcInterval</dt>
<dd>interval</dd>
<dt>mcmcSampleSize</dt>
<dd>sample size</dd>
<dt>ignoreMnar</dt>
<dd>ignore missing not at random offsets</dd>
<dt>modelArgs</dt>
<dd>additiional arguments for the model, e.g. tapering parameters</dd>
<dt>...</dt>
<dd>additional arguments to createCppSampler</dd></dl>

Arguments

simulate statistics — simulateStatistics

<dl>

<dt>formula</dt>
<dd>the model formula</dd>


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


<dt>nodeSamplingPercentage</dt>
<dd>how often the nodes should be toggled</dd>


<dt>mcmcBurnIn</dt>
<dd>burn in</dd>


<dt>mcmcInterval</dt>
<dd>interval</dd>


<dt>mcmcSampleSize</dt>
<dd>sample size</dd>


<dt>ignoreMnar</dt>
<dd>ignore missing not at random offsets</dd>


<dt>modelArgs</dt>
<dd>additiional arguments for the model, e.g. tapering parameters</dd>


<dt>...</dt>
<dd>additional arguments to createCppSampler</dd>

</dl>

simulateStatistics: simulate statistics

Description

Usage

Value

Arguments