DESCRIPTION

Package: easybgm
Type: Package
Title: Extracting and Visualizing Bayesian Graphical Models
Version: 0.5.0
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 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