ergm: Fit, Simulate and Diagnose Exponential-Family Models for Networks

An integrated set of tools to analyze and simulate networks based on exponential-family random graph models (ERGMs). 'ergm' is a part of the Statnet suite of packages for network analysis. See Hunter, Handcock, Butts, Goodreau, and Morris (2008) <doi:10.18637/jss.v024.i03> and Krivitsky, Hunter, Morris, and Klumb (2021) <arXiv:2106.04997>.

Package details

AuthorMark S. Handcock [aut], David R. Hunter [aut], Carter T. Butts [aut], Steven M. Goodreau [aut], Pavel N. Krivitsky [aut, cre] (<https://orcid.org/0000-0002-9101-3362>), Martina Morris [aut], Li Wang [ctb], Kirk Li [ctb], Skye Bender-deMoll [ctb], Chad Klumb [ctb], Michał Bojanowski [ctb], Ben Bolker [ctb], Christian Schmid [ctb]
MaintainerPavel N. Krivitsky <pavel@statnet.org>
LicenseGPL-3 + file LICENSE
Version4.0.1
URL https://statnet.org
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("ergm")

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ergm documentation built on June 21, 2021, 9:07 a.m.