as_adjmat

This function does not perform significant checks. Furthermore, this function
won't keep the row/col names.

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 

as_adjmat function

<dl><dt>x</dt>
<dd>An object to be coerced as an adjacency matrix.</dd></dl>

Arguments

An alternative to as.matrix to retrieve adjacency matrix fast — as_adjmat

<dl>

<dt>x</dt>
<dd>An object to be coerced as an adjacency matrix.</dd>

</dl>

as_adjmat: An alternative to `as.matrix` to retrieve adjacency matrix fast

Description

Usage

Arguments

Examples