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ergm: A Package to Fit, Simulate and Diagnose Exponential-Family Models for Networks

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  • Hunter, David R.
  • Handcock, Mark S.
  • Butts, Carter T.
  • Goodreau, Steven M.
  • Morris, Martina

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.

Suggested Citation

  • Hunter, David R. & Handcock, Mark S. & Butts, Carter T. & Goodreau, Steven M. & Morris, Martina, 2008. "ergm: A Package to Fit, Simulate and Diagnose Exponential-Family Models for Networks," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 24(i03).
    • Handle: RePEc:jss:jstsof:v:024:i03
    DOI: http://hdl.handle.net/10.18637/jss.v024.i03
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