Bergm : Bayesian Exponential Random Graphs in R

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 capab...

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Bibliographic Details
Published inJournal of statistical software Vol. 61; no. 2; pp. 1 - 25
Main Authors Caimo, Alberto, Friel, Nial
Format Journal Article
LanguageEnglish
Published Foundation for Open Access Statistics 01.10.2014
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Summary: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.
ISSN:1548-7660
1548-7660
DOI:10.18637/jss.v061.i02