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ergm.rank: Fit, Simulate and Diagnose Exponential-Family Models for Rank-Order Relational Data

A set of extensions for the 'ergm' package to fit weighted networks whose edge weights are ranks. See Krivitsky and Butts (2017) <doi:10.1177/0081175017692623> and Krivitsky, Hunter, Morris, and Klumb (2021) <doi:10.48550/arXiv.2106.04997>.

Version: 4.1.0
Depends: R (≥ 4.0), ergm (≥ 4.2.2), network (≥ 1.15)
Imports: statnet.common (≥ 4.2.0), utils
LinkingTo: ergm
Suggests: covr, knitr, rmarkdown
Published: 2022-06-01
Author: Pavel N. Krivitsky ORCID iD [aut, cre], Carter T. Butts [ctb], Mark S. Handcock [ctb], David R. Hunter [ctb]
Maintainer: Pavel N. Krivitsky <pavel at statnet.org>
BugReports: https://github.com/statnet/ergm.rank/issues
License: GPL-3 + file LICENSE
URL: https://statnet.org
NeedsCompilation: yes
Citation: ergm.rank citation info
Materials: NEWS
CRAN checks: ergm.rank results

Documentation:

Reference manual: ergm.rank.pdf
Vignettes: ERGMs for Rank-Order Relational Data

Downloads:

Package source: ergm.rank_4.1.0.tar.gz
Windows binaries: r-devel: ergm.rank_4.1.0.zip, r-release: ergm.rank_4.1.0.zip, r-oldrel: ergm.rank_4.1.0.zip
macOS binaries: r-release (arm64): ergm.rank_4.1.0.tgz, r-oldrel (arm64): ergm.rank_4.1.0.tgz, r-release (x86_64): ergm.rank_4.1.0.tgz, r-oldrel (x86_64): ergm.rank_4.1.0.tgz
Old sources: ergm.rank archive

Reverse dependencies:

Reverse suggests: statnet

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ergm.rank to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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