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Bergm: Bayesian Exponential Random Graphs in R

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  • Caimo, Alberto
  • Friel, Nial

Abstract

In this paper we describe the main features of the Bergm package for the open-source R software which provides a comprehensive framework for Bayesian analysis of exponential random graph models: tools for parameter estimation, model selection and goodness-of- fit diagnostics. We illustrate the capabilities of this package describing the algorithms through a tutorial analysis of three network datasets.

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  • Caimo, Alberto & Friel, Nial, 2014. "Bergm: Bayesian Exponential Random Graphs in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 61(i02).
    • Handle: RePEc:jss:jstsof:v:061:i02
    DOI: http://hdl.handle.net/10.18637/jss.v061.i02
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    References listed on IDEAS

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    1. Morris, Martina & Handcock, Mark S. & Hunter, David R., 2008. "Specification of Exponential-Family Random Graph Models: Terms and Computational Aspects," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 24(i04).
    2. Butts, Carter T., 2008. "network: A Package for Managing Relational Data in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 24(i02).
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    Cited by:

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