Document Type
Article
Rights
This item is available under a Creative Commons License for non-commercial use only
Disciplines
Statistics
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 three network datasets.
DOI
http://doi.org10.18637/jss.v061.i02
Recommended Citation
Caimo, A. and Friel, N. (2014), "Bergm: Bayesian Exponential Random Graphs in R. Journal of Statistical Software, 61(2), 1 – 25, 2014 DOI 10.18637/jss.v061.i02
Publication Details
Journal of Statistical Software, 61(2), 1 – 25, 2014.
https://www.jstatsoft.org/index