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Bergm: Bayesian Exponential Random Graphs in R

Authors: 

Alberto Caimo, Nial Friel

Publication Type: 
Refereed Original Article
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- t diagnostics. We illustrate the capabilities of this package describing the algorithms through a tutorial analysis of three network datasets.
Digital Object Identifer (DOI): 
10.na
Publication Status: 
Published
Date Accepted for Publication: 
Tuesday, 27 May, 2014
Publication Date: 
01/10/2014
Journal: 
Journal of Statistical Software. Vol. 61, Issue 2.
Volume: 
61
Issue: 
2
Institution: 
National University of Ireland, Dublin (UCD)
Open access repository: 
Yes
Publication document: