Bergm: Bayesian Exponential Random Graphs in R

Details Bergm: Bayesian Exponential Random Graphs in R Bergm: Bayesian Exponential Random Graphs in R

2012-01-13

arxiv.org/abs/1201.2770v1

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21 pages

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In this paper we describe the basic features 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 that drive the package through a tutorial analysis of two well-known network datasets.

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