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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
CRAN checks: Bergm results

Documentation:

Reference manual: 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 form https://CRAN.R-project.org/package=Bergm 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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