Bergm: Bayesian Exponential Random Graphs in R

Alberto Caimo and Nial Friel

Journal of Statistical Software, 2014, vol. 061, issue i02

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.

Date: 2014-10-24
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Persistent link: https://EconPapers.repec.org/RePEc:jss:jstsof:v:061:i02

DOI: 10.18637/jss.v061.i02

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