Bayesian exponential random graph models

Comprehensive Bayesian framework for exponential random graph models using advanced computational algorithms.

CRAN: cran.r-project.org/web/packages/Bergm
Github: github.com/acaimo/Bergm

Dev team

[aut, cre] Alberto Caimo UCD, 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. [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},
  }