Package: bgms
Type: Package
Title: Bayesian Analysis of Graphical Models
Version: 0.2.0.0
Date: 2026-08-03
Authors@R: c(
    person("Maarten", "Marsman", , "m.marsman@uva.nl", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0001-5309-7502")),
    person("Don", "van den Bergh", role = "aut",
           comment = c(ORCID = "0000-0002-9838-7308")),
    person("Nikola", "Sekulovski", role = "ctb",
           comment = c(ORCID = "0000-0001-7032-1684")),
    person("Giuseppe", "Arena", role = "ctb",
           comment = c(ORCID = "0000-0001-5204-3326")),
    person("Laura", "Groot", role = "ctb"),
    person("Gali", "Geller", role = "ctb")
  )
Maintainer: Maarten Marsman <m.marsman@uva.nl>
Description: Bayesian estimation and edge selection for graphical
        models of mixed binary, ordinal, and continuous variables. The
        variable types determine the model: an ordinal Markov random
        field for discrete data, a Gaussian graphical model for
        continuous data, or a mixed Markov random field combining both.
        Edge inclusion is determined through spike-and-slab priors,
        yielding posterior inclusion probabilities for each edge.
        Supports multi-group comparison via 'bgmCompare()', simulation,
        prediction, and missing data imputation.
Copyright: Includes datasets 'ADHD' and 'Boredom', which are licensed
        under CC-BY 4. See individual data documentation for license
        and citation.
License: GPL (>= 2)
URL: https://bayesian-graphical-modelling-lab.github.io/bgms/,
        https://github.com/Bayesian-Graphical-Modelling-Lab/bgms
BugReports: https://github.com/Bayesian-Graphical-Modelling-Lab/bgms/issues
Imports: Rcpp (>= 1.0.7), RcppParallel, Rdpack, S7, methods, lifecycle,
        graphics, grDevices, parallel, stats, utils
RdMacros: Rdpack
LinkingTo: Rcpp, RcppArmadillo, RcppParallel, dqrng, BH
Roxygen: list(markdown = TRUE)
Depends: R (>= 3.5)
LazyData: true
Encoding: UTF-8
Suggests: coda, covr, knitr, MASS, qgraph, rmarkdown, testthat (>=
        3.0.0), withr
VignetteBuilder: knitr
Config/testthat/edition: 3
RoxygenNote: 8.0.0
Config/pak/sysreqs: cmake
Repository: https://bayesian-graphical-modelling-lab.r-universe.dev
Date/Publication: 2026-08-03 22:58:43 UTC
RemoteUrl: https://github.com/bayesian-graphical-modelling-lab/bgms
RemoteRef: HEAD
RemoteSha: 6126312a026d362af1b100f5fa209a36bbc59030
NeedsCompilation: yes
Packaged: 2026-10-11 12:11:59 UTC; root
Author: Maarten Marsman [aut, cre] (ORCID:
    <https://orcid.org/0000-0001-5309-7502>),
  Don van den Bergh [aut] (ORCID:
    <https://orcid.org/0000-0002-9838-7308>),
  Nikola Sekulovski [ctb] (ORCID:
    <https://orcid.org/0000-0001-7032-1684>),
  Giuseppe Arena [ctb] (ORCID: <https://orcid.org/0000-0001-5204-3326>),
  Laura Groot [ctb],
  Gali Geller [ctb]