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: 5.0.1
Depends: ergm, R (≥ 2.10)
Imports: network, coda, MCMCpack, Matrix, mvtnorm, matrixcalc
Published: 2019-11-04
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: http://acaimo.github.io/Bergm/
NeedsCompilation: no
Citation: Bergm citation info
Materials: README
CRAN checks: Bergm results

Downloads:

Reference manual: Bergm.pdf
Package source: Bergm_5.0.1.tar.gz
Windows binaries: r-devel: Bergm_5.0.1.zip, r-devel-gcc8: Bergm_5.0.1.zip, r-release: Bergm_5.0.1.zip, r-oldrel: Bergm_5.0.1.zip
OS X binaries: r-release: Bergm_5.0.1.tgz, r-oldrel: Bergm_5.0.1.tgz
Old sources: Bergm archive

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