Bayesian Exponential Random Graph Models R package Bergm version 6.0.0 CRAN Task View: Bayesian (https://CRAN.R-project.org/view=Bayesian) CRAN Task View: NetworkAnalysis (https://CRAN.R-project.org/view=NetworkAnalysis) 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/>. Software 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) Alberto Caimo <alberto.caimo1@ucd.ie> Comprehensive R Archive Network (CRAN) Alberto Caimo [aut, cre], Lampros Bouranis [aut], Robert Krause [aut], Isabella Gollini [aut], Nial Friel [ctb] GPL (>= 2) 2026-10-27 application/tgz https://CRAN.R-project.org/package=Bergm doi:10.32614/CRAN.package.Bergm en-US