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: 5.0.5
Depends: ergm, R (≥ 2.10)
Imports: network, coda, MCMCpack, Matrix, mvtnorm, matrixcalc, statnet.common, Rglpk
Published: 2022-09-26
Author: Alberto Caimo [aut, cre], Lampros Bouranis [aut], Robert Krause [aut] Nial Friel [ctb]
Maintainer: Alberto Caimo <alberto.caimo at tudublin.ie>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://acaimo.github.io/Bergm/
NeedsCompilation: no
Citation: Bergm citation info
Materials: README
In views: Bayesian
CRAN checks: Bergm results

Documentation:

Reference manual: Bergm.pdf

Downloads:

Package source: Bergm_5.0.5.tar.gz
Windows binaries: r-devel: Bergm_5.0.4.zip, r-release: Bergm_5.0.5.zip, r-oldrel: Bergm_5.0.5.zip
macOS binaries: r-release (arm64): Bergm_5.0.5.tgz, r-oldrel (arm64): Bergm_5.0.5.tgz, r-release (x86_64): Bergm_5.0.4.tgz, r-oldrel (x86_64): Bergm_5.0.4.tgz
Old sources: Bergm archive

Reverse dependencies:

Reverse suggests: btergm
Reverse enhances: texreg

Linking:

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