Type: Package
Package: Bergm
Title: Bayesian Exponential Random Graph Models
Version: 6.0.0
Date: 2026-10-18
Authors@R: c(
    person("Alberto", "Caimo", email = "alberto.caimo1@ucd.ie", role = c("aut", "cre")),
    person("Lampros", "Bouranis", role = "aut"),
    person("Robert", "Krause", role = "aut"),
    person("Isabella", "Gollini", role = "aut"),
    person("Nial", "Friel", role = "ctb"))
Description: 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/>.
License: GPL (>= 2)
URL: https://acaimo.github.io/Bergm/
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)
Config/testthat/edition: 3
Encoding: UTF-8
Language: en-US
LazyData: true
RoxygenNote: 7.3.1
NeedsCompilation: yes
Packaged: 2026-10-27 14:18:08 UTC; albertocaimo
Author: Alberto Caimo [aut, cre],
  Lampros Bouranis [aut],
  Robert Krause [aut],
  Isabella Gollini [aut],
  Nial Friel [ctb]
Maintainer: Alberto Caimo <alberto.caimo1@ucd.ie>
Repository: CRAN
Date/Publication: 2026-10-27 15:00:18 UTC
