| Authors: | David R. Hunter, Mark S. Handcock, Carter T. Butts, Steven M. Goodreau, Martina Morris |
| Title: | [download] (11726)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] (11726)ergm: A Package to Fit, Simulate and Diagnose Exponential-Family Models for Networks (application/pdf, 710.2 KB) |
| Supplements: | [download] (2049)ergm_2.1.tar.gz: R source package (application/x-gzip, 522.4 KB) |
| [download] (2460)v24i03.R: R example code from the paper (text/plain, 2.1 KB) |
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| Resources: | BibTeX | OAI |
