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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 (2023) <doi:10.18637/jss.v105.i06>.
Getting started
Package overview
Introduction to Exponential-family Random Graph Models with ergm
API for Callback Functions for `Network` and `WtNetwork` Structures
API for `ergm` Terms
API for MCMC Proposal Selection
ERGM terms cross-reference
Introduction to Exponential-family Random Graph Models with `ergm`
Nodal Attribute Specification in ERGM Terms
Browse package contents
Package details |
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| Author | Mark 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] (<https://orcid.org/0000-0001-7503-852X>), Ben Bolker [ctb], Christian Schmid [ctb], Joyce Cheng [ctb], Arya Karami [ctb] |
| Maintainer | Pavel N. Krivitsky <pavel@statnet.org> |
| License | GPL-3 + file LICENSE |
| Version | 4.5.0 |
| URL | https://statnet.org |
| Package repository | View on CRAN |
| Installation |
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