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Bergm (version 1.0)

Bergm-package: Bayesian inference for exponential random graph models

Description

Bergm is a collection of functions to fit and diagnose from Bayesian random graph models. For a list of functions type: help(package='Bergm').

Arguments

References

Caimo, A. and Friel, N. (2009) ``Bayesian inference for exponential random graph models,'' (submitted).

Murray, I., Ghahramani, Z., and MacKay, D. (2006), ``MCMC for doubly-intractable distributions,'' in Proceedings of the 22nd Annual Conference on Uncertainty in Artificial Intelligence (UAI-06), Arlington, Virginia: AUAI Press.

Handcock, M. S., Hunter, D. R., Butts, C. T., Goodreau, S. M., and Morris, M. (2007), ``statnet: Software tools for the representation, visualization, analysis and simulation of network data,'' Journal of Statistical Software, 24,1-11.

Hunter, D. R., Handcock, M. S., Butts, C. T., Goodreau, S. M., and Morris M. (2008), ``ergm: A Package to Fit, Simulate and Diagnose Exponential-Family Models for Networks'', 24, 1-29.