Bergm: Bayesian Exponential Random Graphs in R

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Authors Alberto Caimo, Nial Friel
Journal/Conference Name Journal of Statistical Software
Paper Category
Paper 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.
Date of publication 2012
Code Programming Language R

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