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

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.

• Publication year

  2008

• Venue

  Journal of Statistical Software

• Publication date

  2008-05-05

• Fields of study

  Mathematics, Computer Science, Medicine

• Identifiers
  DOI 10.18637/JSS.V024.I03PMID 19756229PMCID PMC2743438
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

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