Bergm: Bayesian Exponential Random Graphs in R
Computation
2014-01-29 v3 Applications
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.
Keywords
Cite
@article{arxiv.1201.2770,
title = {Bergm: Bayesian Exponential Random Graphs in R},
author = {Alberto Caimo and Nial Friel},
journal= {arXiv preprint arXiv:1201.2770},
year = {2014}
}
Comments
23 pages