The Bergm package for R (available on CRAN: https://CRAN.R-project.org/package=Bergm and GitHub: https://github.com/acaimo/Bergm) provides a comprehensive framework for Bayesian parameter estimation and model selection for exponential random graph models using advanced computational algorithms. It can also supply graphical Bayesian goodness-of-fit procedures that address the issue of model adequacy.

### Citing Bergm

If you are using the Bergm package for research that will be published or otherwise publicly distributed, we request that you acknowledge this with the following citation:

Alberto Caimo, Nial Friel (2014). Bergm: Bayesian Exponential Random Graphs in R. Journal of Statistical Software, 61(2), 1-25. doi: http://dx.doi.org/10.18637/jss.v061.i02.

A BibTeX entry for LaTeX users is:

  @Article{Bergm,
title = {{Bergm}: {B}ayesian Exponential Random Graphs in {R}},
author = {Alberto Caimo and Nial Friel},
journal = {Journal of Statistical Software},
year = {2014},
volume = {61},
number = {2},
pages = {1--25},
url = {http://www.jstatsoft.org/v61/i02/},
}