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Package: bgms
Type: Package
Title: Bayesian Analysis of Graphical Models
Version: 0.2.0.0
Date: 2026-03-26
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,
stats
RdMacros: Rdpack
LinkingTo:
Rcpp,
RcppArmadillo,
RcppParallel,
dqrng,
BH
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3
Depends:
R (>= 3.5)
LazyData: true
Encoding: UTF-8
Suggests:
coda,
covr,
knitr,
MASS,
parallel,
qgraph,
rmarkdown,
testthat (>= 3.0.0)
VignetteBuilder: knitr
Config/testthat/edition: 3
Config/Needs/website: tidyverse/tidytemplate