ernm_gof

Goodness of fit plot for ERNM models, particularly suited for comparing models

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

ernm_gof function

<dl><dt>models</dt>
<dd>named list of ernm models to be to be compared (can be length 1</dd>
<dt>observed_network</dt>
<dd>the observed network</dd>
<dt>stats_formula</dt>
<dd>the formula for the statistics</dd>
<dt>style</dt>
<dd>the style of the plot, either 'histogram' or 'boxplot'</dd>
<dt>scales</dt>
<dd>the scales of the plot, either 'fixed' or 'free'</dd>
<dt>print</dt>
<dd>whether to print the plot</dd>
<dt>n_sim</dt>
<dd>the number of simulations to run</dd>
<dt>burnin</dt>
<dd>the burnin for the MCMC simulation</dd>
<dt>interval</dt>
<dd>the samplling interval for MCMC simualtion</dd></dl>

Arguments

print — ernm_gof

<dl>

<dt>models</dt>
<dd>named list of ernm models to be to be compared (can be length 1</dd>


<dt>observed_network</dt>
<dd>the observed network</dd>


<dt>stats_formula</dt>
<dd>the formula for the statistics</dd>


<dt>style</dt>
<dd>the style of the plot, either 'histogram' or 'boxplot'</dd>


<dt>scales</dt>
<dd>the scales of the plot, either 'fixed' or 'free'</dd>


<dt>print</dt>
<dd>whether to print the plot</dd>


<dt>n_sim</dt>
<dd>the number of simulations to run</dd>


<dt>burnin</dt>
<dd>the burnin for the MCMC simulation</dd>


<dt>interval</dt>
<dd>the samplling interval for MCMC simualtion</dd>

</dl>

ernm_gof: print

Description

Usage

Value

Arguments