simulate.ergmito

Draw samples from a fitted <code>ergmito</code> model

Simulation and estimation of Exponential Random Graph Models (ERGMs)
for small networks using exact statistics as shown in Vega Yon et al. (2020)
<DOI:10.1016/j.socnet.2020.07.005>. As a difference from the 'ergm'
package, 'ergmito' circumvents using Markov-Chain Maximum Likelihood Estimator
(MC-MLE) and instead uses Maximum Likelihood Estimator (MLE) to fit ERGMs
for small networks. As exhaustive enumeration is computationally feasible for
small networks, this R package takes advantage of this and provides tools for
calculating likelihood functions, and other relevant functions, directly,
meaning that in many cases both estimation and simulation of ERGMs for
small networks can be faster and more accurate than simulation-based
algorithms.

George Vega Yon

ergmito

Exponential Random Graph Models for Small Networks

Kayla de la Haye

Army Research Laboratory and the U.S. Army Research Office 

simulate.ergmito function

<dl><dt>object</dt>
<dd>An object of class ergmito.</dd>
<dt>nsim</dt>
<dd>Integer scalar. Number of samples to draw from the selected set
of networks.</dd>
<dt>seed</dt>
<dd>See <a href="/link/stats%3A%3Asimulate?package=ergmito&version=0.3-1" data-mini-rdoc="ergmito::stats::simulate">stats::simulate</a></dd>
<dt>which_networks</dt>
<dd>Integer vector. Specifies what networks to sample from.
It must be within 1 and <code>nnets(object)</code>.</dd>
<dt>theta, ...</dt>
<dd>Further arguments passed to new_rergmito.</dd></dl>

Arguments

Draw samples from a fitted ergmito model — simulate.ergmito

<dl>

<dt>object</dt>
<dd>An object of class ergmito.</dd>


<dt>nsim</dt>
<dd>Integer scalar. Number of samples to draw from the selected set
of networks.</dd>


<dt>seed</dt>
<dd>See <a href='https://rdrr.io/r/stats/simulate.html'>stats::simulate</a></dd>


<dt>which_networks</dt>
<dd>Integer vector. Specifies what networks to sample from.
It must be within 1 and <code>nnets(object)</code>.</dd>


<dt>theta, ...</dt>
<dd>Further arguments passed to new_rergmito.</dd>

</dl>

simulate.ergmito: Draw samples from a fitted `ergmito` model

Description

Usage

Arguments

Examples