Package: easybgm
Type: Package
Title: Extracting and Visualizing Bayesian Graphical Models
Version: 0.4.0
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 fitted using the packages 'BDgraph', 'bgms' and 'BGGM', 
    as well as network comparison tests fitted using the packages 'bgms' and 'BBGM'. 
    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
RoxygenNote: 7.3.3
Depends: R (>= 4.1.0)
Imports: BDgraph, BGGM, bgms (>= 0.1.4), dplyr, ggplot2, HDInterval,
        igraph, qgraph, coda
Suggests: testthat (>= 3.2.3), vdiffr
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2026-04-02 12:54:05 UTC; karolinehuth
Author: Karoline Huth [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-0662-1591>),
  Sara Keetelaar [ctb],
  Nikola Sekulovski [ctb],
  Gali Geller [ctb]
Repository: CRAN
Date/Publication: 2026-04-02 13:20:02 UTC
Built: R 4.6.0; ; 2026-04-30 10:32:32 UTC; unix
