ergm.rank-package: Fit, Simulate and Diagnose Exponential-Family Models for...
In ergm.rank: Fit, Simulate and Diagnose Exponential-Family Models for Rank-Order Relational Data
ergm.rank-package R Documentation
Fit, Simulate and Diagnose Exponential-Family Models for Rank-Order
Relational Data
Description
ergm.rank is a set of extensions to package ergm to
fit and simulate from exponential-family random graph models for
networks whose edge weights are ranks.
Details
Mainly, it implements the
CompleteOrder reference
measure for valued ERGMs \insertCiteKr12e,KrHu23eergm.rank and
provides some rank-order change statistics
(search.ergmTerms("ordinal") for a list)
\insertCiteKrBu17eergm.rank.
When publishing results obtained using this package, please cite the
original authors as described in citation(package="ergm.rank").
All programs derived from this package must cite it.
This package contains functions specific to using ergm() to model
networks whose dyad values are ranks. Examples include preferences,
valued ties reduced to ranks, etc.. These terms have a specialized
interpretation, and are therefore generally prefixed by "rank.",
though they should take any valued data.
For detailed information on how to download and install the software, go to
the Statnet project website: https://statnet.org. A tutorial, support
newsgroup, references and links to further resources are provided there.
Author(s)
Maintainer: Pavel N. Krivitsky pavel@statnet.org (ORCID)
Other contributors:
Carter T. Butts buttsc@uci.edu [contributor]
Mark S. Handcock handcock@stat.ucla.edu [contributor]
David R. Hunter dhunter@stat.psu.edu [contributor]
References
\insertAllCited
See Also
ergmTerm, ergmReference
ergm.rank documentation built on Sept. 11, 2025, 9:09 a.m.
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| ergm.rank-package | R Documentation |
Fit, Simulate and Diagnose Exponential-Family Models for Rank-Order Relational Data
Description
ergm.rank is a set of extensions to package ergm to fit and simulate from exponential-family random graph models for networks whose edge weights are ranks.
Details
Mainly, it implements the
CompleteOrder reference
measure for valued ERGMs \insertCiteKr12e,KrHu23eergm.rank and
provides some rank-order change statistics
(search.ergmTerms("ordinal") for a list)
\insertCiteKrBu17eergm.rank.
When publishing results obtained using this package, please cite the
original authors as described in citation(package="ergm.rank").
All programs derived from this package must cite it.
This package contains functions specific to using ergm() to model
networks whose dyad values are ranks. Examples include preferences,
valued ties reduced to ranks, etc.. These terms have a specialized
interpretation, and are therefore generally prefixed by "rank.",
though they should take any valued data.
For detailed information on how to download and install the software, go to the Statnet project website: https://statnet.org. A tutorial, support newsgroup, references and links to further resources are provided there.
Author(s)
Maintainer: Pavel N. Krivitsky pavel@statnet.org (ORCID)
Other contributors:
Carter T. Butts buttsc@uci.edu [contributor]
Mark S. Handcock handcock@stat.ucla.edu [contributor]
David R. Hunter dhunter@stat.psu.edu [contributor]
References
\insertAllCitedSee Also
ergmTerm, ergmReference
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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