The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

Bergm: Bayesian Exponential Random Graph Models

Bayesian analysis for exponential random graph models using advanced computational algorithms: the approximate exchange algorithm with adaptive direction sampling (optionally adaptive, delayed-acceptance and parallel), calibrated pseudo-posteriors, Bayesian data augmentation for missing network data, and Bayesian goodness-of-fit diagnostics. More information can be found at: <https://acaimo.github.io/Bergm/>.

Version: 6.0.0
Depends: ergm (≥ 4.2.3), R (≥ 4.1)
Imports: coda, graphics, grDevices, mice, network, parallel, Rcpp, stats, utils
LinkingTo: Rcpp
Suggests: spelling, testthat (≥ 3.0.0)
Published: 2026-10-27
DOI: 10.32614/CRAN.package.Bergm
Author: Alberto Caimo [aut, cre], Lampros Bouranis [aut], Robert Krause [aut], Isabella Gollini [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: yes
Language: en-US
Citation: Bergm citation info
Materials: README, NEWS
In views: Bayesian, NetworkAnalysis
CRAN checks: Bergm results

Documentation:

Reference manual: Bergm.html , Bergm.pdf

Downloads:

Package source: Bergm_6.0.0.tar.gz
Windows binaries: r-devel: Bergm_6.0.0.zip, r-release: Bergm_6.0.0.zip, r-oldrel: Bergm_6.0.0.zip
macOS binaries: r-release (arm64): Bergm_6.0.0.tgz, r-oldrel (arm64): Bergm_6.0.0.tgz, r-release (x86_64): Bergm_6.0.0.tgz, r-oldrel (x86_64): Bergm_6.0.0.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.
Health stats visible at Monitor.