Document Type

Article

Rights

This item is available under a Creative Commons License for non-commercial use only

Disciplines

Statistics

Publication Details

Journal of Statistical Software, 61(2), 1 – 25, 2014.

https://www.jstatsoft.org/index

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 three network datasets.

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