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Bergm: Bayesian Exponential Random Graph Models

Bayesian analysis for exponential random graph models using advanced computational algorithms. More information can be found at: <https://acaimo.github.io/Bergm/>.

Version:5.0.7
Depends:ergm, R (≥ 4.1)
Imports:coda, graphics, grDevices,Matrix,matrixcalc,MCMCpack,mvtnorm,network,Rglpk,statnet.common, stats, utils
Suggests:spelling
Published:2023-12-06
DOI:10.32614/CRAN.package.Bergm
Author:Alberto Caimo [aut, cre], Lampros Bouranis [aut], Robert Krause [aut] Nial Friel [ctb]
Maintainer:Alberto Caimo <alberto.caimo1 at ucd.ie>
License:GPL-2 |GPL-3 [expanded from: GPL (≥ 2)]
URL:https://acaimo.github.io/Bergm/
NeedsCompilation:no
Language:en-US
Citation:Bergm citation info
Materials:README
In views:Bayesian,NetworkAnalysis
CRAN checks:Bergm results

Documentation:

Reference manual:Bergm.html ,Bergm.pdf

Downloads:

Package source: Bergm_5.0.7.tar.gz
Windows binaries: r-devel:Bergm_5.0.7.zip, r-release:Bergm_5.0.7.zip, r-oldrel:Bergm_5.0.7.zip
macOS binaries: r-release (arm64):Bergm_5.0.7.tgz, r-oldrel (arm64):Bergm_5.0.7.tgz, r-release (x86_64):Bergm_5.0.7.tgz, r-oldrel (x86_64):Bergm_5.0.7.tgz
Old sources: Bergm archive

Reverse dependencies:

Reverse imports:BFpack
Reverse suggests:btergm
Reverse enhances:texreg

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=Bergmto link to this page.


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