Bergm: Bayesian Exponential Random Graphs in R
Refereed Original Article
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- t diagnostics. We illustrate the capabilities of this package describing the algorithms through a tutorial analysis of three network datasets.
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Date Accepted for Publication:
Tuesday, 27 May, 2014
Journal of Statistical Software. Vol. 61, Issue 2.
National University of Ireland, Dublin (UCD)
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