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

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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.

Public and Private repositories

To facilitate open development of the package while giving the core developers an opportunity to publish on their developments before opening them up for general use, this project comprises two repositories:

  • A public repository statnet/ergm
  • A private repository statnet/ergm-private

The intention is that all developments in statnet/ergm-private will eventually make their way into statnet/ergm and onto CRAN.

Developers and Contributing Users to the Statnet Project should read https://statnet.org/private/ for information about the relationship between the public and the private repository and the workflows involved.

Latest Windows and MacOS binaries

R-Universe builds a set of binaries after every commit to the main branch of the repository. We strongly encourage testing against them before filing a bug report, as they may contain fixes that have not yet been sent to CRAN. To obtain the binaries from r-universe, navigate to the package page at https://statnet.r-universe.dev/ergm . You may also want to install the corresponding latest binaries for packages on which ergm depends, in particular statnet.common and ergm.count.

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Fit, Simulate and Diagnose Exponential-Family Models for Networks

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