Bergm: Bayesian Exponential Random Graphs in R

2012/01/13 by Caimo, Alberto, Friel, Nial · 1 citation
#Applications (stat.AP) #Computation (stat.CO) #FOS: Computer and information sciences

paper · doi:10.48550/arxiv.1201.2770

Abstract

In this paper we describe the main featuress of the Bergm package for the open-source R software which provides a comprehensive framework for Bayesian analysis for 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 two well-known network datasets.

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• A tutorial on Bayesian model averaging for exponential random graph models

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