|Authors:||Alberto Caimo, Nial Friel|
|Title:||Bergm: Bayesian Exponential Random Graphs in R|
|Abstract:||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.|
Page views:: 2150. Submitted: 2012-02-16. Published: 2014-10-24.
Bergm: Bayesian Exponential Random Graphs in R
This work is licensed under the licenses
Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.