same_dist

If two networks are of the same size, and their vertex attributes are
equal in terms of set comparison, then we say those came from the same
distribution

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 

same_dist function

<dl><dt>net0, net1</dt>
<dd>Networks to be compared.</dd>
<dt>attrnames</dt>
<dd>Character vector. (optional) Names of the vertex attributes
to be be compared on. This is ignored in the matrix case.</dd>
<dt>...</dt>
<dd>Ignored.</dd></dl>

Arguments

Compare pairs of networks to see if those came from the same distribution — same_dist

<dl>

<dt>net0, net1</dt>
<dd>Networks to be compared.</dd>


<dt>attrnames</dt>
<dd>Character vector. (optional) Names of the vertex attributes
to be be compared on. This is ignored in the matrix case.</dd>


<dt>...</dt>
<dd>Ignored.</dd>

</dl>

same_dist: Compare pairs of networks to see if those came from the same distribution

Description

Usage

Value

Arguments

Details

Examples