|Authors:||Alberto Caimo, Nial Friel|
|Title:||Bergm: Bayesian Exponential Random Graphs in R|
|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.|
Page views:: 4234. Submitted: 2012-02-16. Published: 2014-10-24.
Bergm: Bayesian Exponential Random Graphs in R
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