Bergm: Bayesian Exponential Random Graphs in R
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| Authors | Alberto Caimo, Nial Friel |
| Journal/Conference Name | Journal of Statistical Software |
| Paper Category | Other |
| Paper Abstract | In this paper we describe the main featuress of the Bergm package for the open-source R software which provides a comprehensive framework for Bayesian analysis for 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 two well-known network datasets. |
| Date of publication | 2012 |
| Code Programming Language | R |
| Comment |
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