Bayesian Analysis of Graphical Models R package bgms version 0.2.0.0 CRAN Task View: Bayesian (https://CRAN.R-project.org/view=Bayesian) CRAN Task View: Psychometrics (https://CRAN.R-project.org/view=Psychometrics) 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. Software Depends: R (>= 3.5) Imports: Rcpp (>= 1.0.7), RcppParallel, Rdpack, S7, methods, lifecycle, graphics, grDevices, parallel, stats, utils LinkingTo: Rcpp, RcppArmadillo, RcppParallel, dqrng, BH Suggests: coda, covr, knitr, MASS, qgraph, rmarkdown, testthat (>= 3.0.0), withr Maarten Marsman <m.marsman@uva.nl> Comprehensive R Archive Network (CRAN) 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] GPL (>= 2) 2026-08-04 application/tgz https://CRAN.R-project.org/package=bgms doi:10.32614/CRAN.package.bgms