About

The Bergm package for R 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.

Development team

[aut, cre] Alberto Caimo TU Dublin, Ireland

[aut] Lampros Bouranis AUEB, Greece

[aut] Robert Krause UKY, USA

[ctb] Nial Friel UCD, Ireland

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:

Caimo, A., Bouranis, L., Krause, R., and Friel, N. (2022) “Statistical Network Analysis with Bergm.” Journal of Statistical Software, 104(1), 1–23. doi: https://doi.org/10.18637/jss.v104.i01.

A BibTeX entry for LaTeX users is:

  @Article{Bergm,
    title = {Statistical Network Analysis with {B}ergm},
    author = {Alberto Caimo and Lampros Bouranis and Robert Krause and Nial Friel},
    journal = {Journal of Statistical Software},
    year = {2022},
    volume = {104},
    number = {1},
    pages = {1--23},
    url = {https://doi.org/10.18637/jss.v104.i01},
  }