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) <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
Old sources: ergm.rank archive

Reverse dependencies:

Reverse suggests: statnet

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