Bergm: Bayesian Exponential Random Graphs in R

Authors

Alberto Caimo, Technological University DublinFollow
Nial Friel, University College DublinFollow

Document Type

Article

Rights

This item is available under a Creative Commons License for non-commercial use only

Disciplines

Statistics

Publication Details

Journal of Statistical Software, 61(2), 1 – 25, 2014.

https://www.jstatsoft.org/index

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