Package: easybgm
Type: Package
Title: Extracting and Visualizing Bayesian Graphical Models
Version: 0.5.1
Authors@R: c(
  person("Karoline", "Huth", , "k.huth@uva.nl", role = c("aut", "cre"), 
        comment = c(ORCID = "0000-0002-0662-1591")), 
  person("Sara", "Keetelaar", role = c("ctb")), 
  person("Nikola", "Sekulovski", role = c("ctb")), 
  person("Gali", "Geller", role = c("ctb"))
  )
Maintainer: Karoline Huth <k.huth@uva.nl>
Description: Fit and visualize the results of a Bayesian analysis of
        networks commonly found in psychology. The package supports
        cross-sectional network models for ordinal, binary, continuous,
        and mixed data, fitted using the packages 'bgms' (default),
        'BDgraph', and 'BGGM', as well as network comparison tests
        fitted using the packages 'bgms' and 'BGGM'. The package
        provides the parameter estimates, posterior inclusion
        probabilities, inclusion Bayes factor, and the posterior
        density of the parameters. In addition, for 'BDgraph' and
        'bgms' it allows to assess the posterior structure space.
        Furthermore, the package comes with an extensive suite for
        visualizing results.
License: GPL (>= 2)
URL: https://github.com/KarolineHuth/easybgm
BugReports: https://github.com/KarolineHuth/easybgm/issues
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
Depends: R (>= 4.1.0)
Imports: BDgraph, BGGM, bgms (>= 0.1.6.3), dplyr, ggplot2, HDInterval,
        qgraph, coda
Suggests: testthat (>= 3.2.3)
Config/testthat/edition: 3
Config/roxygen2/version: 8.1.0
RoxygenNote: 7.3.3
Config/pak/sysreqs: cmake libglpk-dev make libgsl0-dev libicu-dev
        libjpeg-dev libpng-dev libuv1-dev libxml2-dev libssl-dev
Repository: https://karolinehuth.r-universe.dev
Date/Publication: 2026-09-29 17:53:50 UTC
RemoteUrl: https://github.com/karolinehuth/easybgm
RemoteRef: HEAD
RemoteSha: ba79bd55d193510f89bec3a3ab6436f33cfcd74a
NeedsCompilation: no
Packaged: 2026-09-29 21:32:57 UTC; root
Author: Karoline Huth [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-0662-1591>),
  Sara Keetelaar [ctb],
  Nikola Sekulovski [ctb],
  Gali Geller [ctb]