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:: 4175. Submitted: 2012-02-16. Published: 2014-10-24. |
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Paper: |
Bergm: Bayesian Exponential Random Graphs in R
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DOI: |
10.18637/jss.v061.i02
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![]() This work is licensed under the licenses Paper: Creative Commons Attribution 3.0 Unported License Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license. |