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ergm: A Package to Fit, Simulate and Diagnose Exponential-Family Models for Networks
David R Hunter1, Mark S Handcock, Carter T Butts
1Until August 2008: Université d'Orléans Bâtiment de mathématiques, Route de Chartres B.P. 6759 45067 Orléans cedex 2, France.
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 interrelated, 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.
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