|Authors:||David R. Hunter, Mark S. Handcock, Carter T. Butts, Steven M. Goodreau, Martina Morris|
|Title:||ergm: A Package to Fit, Simulate and Diagnose Exponential-Family Models for Networks|
|Abstract:||We describe some of the capabilities of the ergm package and the statistical theory underlying it. This package contains tools for accomplishing three important, and inter-related, tasks involving exponential-family random graph models (ERGMs): estimation, simulation, and goodness of fit. More precisely, ergm has the capability of approximating a maximum likelihood estimator for an ERGM given a network data set; simulating new network data sets from a fitted ERGM using Markov chain Monte Carlo; and assessing how well a fitted ERGM does at capturing characteristics of a particular network data set.|
Page views:: 44605. Submitted: 2007-06-01. Published: 2008-05-05.
ergm: A Package to Fit, Simulate and Diagnose Exponential-Family Models for Networks
This work is licensed under the licenses
Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.