Bergm: Bayesian Exponential Random Graphs in R

@article{Caimo2012BergmBE,
  title={Bergm: Bayesian Exponential Random Graphs in R},
  author={Alberto Caimo and Nial Friel},
  journal={Journal of Statistical Software},
  year={2012},
  volume={61},
  pages={1-25}
}
  • Alberto Caimo, Nial Friel
  • Published 2012
  • Mathematics, Computer Science
  • Journal of Statistical Software
  • In this paper we describe the main features of the Bergm package for the open-source R software which provides a comprehensive framework for Bayesian analysis of 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. 

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