# Bayesian analysis for exponential random graph models

### Description

`Bergm`

is a collection of functions for Bayesian exponential random graph models.

### Author(s)

Alberto Caimo <acaimo.stats@gmail.com>, Nial Friel <nial.friel@ucd.ie>.

### References

Caimo, A. and Friel, N. (2014), “Bergm: Bayesian Exponential Random Graphs in R,” *Journal of Statistical Software*, 61(2), 1-25. http://www.jstatsoft.org/v61/i02/.

Caimo, A. and Friel, N. (2013), “Bayesian model selection for exponential random graph models,” *Social Networks*, 35(1), 11-24. Available in e-print format at http://arxiv.org/abs/arXiv:1201.2337.

Caimo, A. and Friel, N. (2011), “Bayesian inference for exponential random graph models,” *Social Networks*, 33(1), 41-55. Available in e-print format at http://arxiv.org/abs/arXiv:1007.5192.

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