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Authors: David R. Hunter, Mark S. Handcock, Carter T. Butts, Steven M. Goodreau, Martina Morris
Title: [download]
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ergm: A Package to Fit, Simulate and Diagnose Exponential-Family Models for Networks
Reference: Vol. 24, Issue 3, May 2008
Submitted 2007-06-01, Accepted 2007-12-25
Type: Article
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.

Paper: [download]
(16720)
ergm: A Package to Fit, Simulate and Diagnose Exponential-Family Models for Networks
(application/pdf, 710.2 KB)
Supplements: [download]
(2418)
ergm_2.1.tar.gz: R source package
(application/x-gzip, 522.4 KB)
[download]
(3097)
v24i03.R: R example code from the paper
(text/plain, 2.1 KB)
Resources: BibTeX | OAI
Creative Commons License
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.
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