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:	5.0.3
Depends:	ergm, R (≥ 2.10)
Imports:	network, coda, MCMCpack, Matrix, mvtnorm, matrixcalc, statnet.common
Published:	2021-06-15
Author:	Alberto Caimo [aut, cre], Lampros Bouranis [aut], Robert Krause [aut] Nial Friel [ctb]
Maintainer:	Alberto Caimo <acaimo.stats at gmail.com>
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_5.0.3.tar.gz
Windows binaries:	r-devel: Bergm_5.0.3.zip, r-release: Bergm_5.0.3.zip, r-oldrel: Bergm_5.0.3.zip
macOS binaries:	r-release (arm64): Bergm_5.0.3.tgz, r-oldrel (arm64): Bergm_5.0.3.tgz, r-release (x86_64): Bergm_5.0.3.tgz, r-oldrel (x86_64): Bergm_5.0.3.tgz
Old sources:	Bergm archive

Reverse dependencies:

Reverse suggests:	btergm
Reverse enhances:	texreg

Linking:

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