Bergm: Bayesian exponential random graphs in R

Alberto Caimo; Nial Friel

doi:10.18637/jss.v061.i02

Bergm: Bayesian exponential random graphs in R

Alberto Caimo, Nial Friel

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Journal	Journal of Statistical Software
Volume	61
Issue number	2
DOIs	https://doi.org/10.18637/jss.v061.i02
Publication status	Published - 1 Oct 2014
Externally published	Yes

Keywords

Bayesian inference
Bayesian model selection
Exponential random graph models
Markov chain Monte Carlo

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10.18637/jss.v061.i02

https://arrow.tudublin.ie/scschmatart/212Licence: CC BY-NC-SA

Cite this

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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.",

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author = "Alberto Caimo and Nial Friel",

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AB - 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.

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KW - Bayesian model selection

KW - Exponential random graph models

KW - Markov chain Monte Carlo

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JO - Journal of Statistical Software

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Bergm: Bayesian exponential random graphs in R

Abstract

Keywords

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