Package: BGGM
Type: Package
Title: Bayesian Gaussian Graphical Models
Version: 2.1.6
Date: 2025-12-01
Authors@R: c(person("Donald", "Williams", email = "drwwilliams@ucdavis.edu", role = "aut"),
             person("Joris", "Mulder", email = "J.Mulder3@uvt.nl", role = "aut"),
	     person("Philippe", "Rast", email = "rast.ph@gmail.com", role = c("aut", "cre")))
Author: Donald Williams [aut],
  Joris Mulder [aut],
  Philippe Rast [aut, cre]
Maintainer: Philippe Rast <rast.ph@gmail.com>
Description: Fit Bayesian Gaussian graphical models. The methods are separated into 
    two Bayesian approaches for inference: hypothesis testing and estimation. There are 
    extensions for confirmatory hypothesis testing, comparing Gaussian graphical models, 
    and node wise predictability. These methods were recently introduced in the Gaussian 
    graphical model literature, including 
    Williams (2019) <doi:10.31234/osf.io/x8dpr>, 
    Williams and Mulder (2019) <doi:10.31234/osf.io/ypxd8>,
    Williams, Rast, Pericchi, and Mulder (2019) <doi:10.31234/osf.io/yt386>.
Depends: R (>= 4.0.0)
License: GPL-2
Imports: BFpack (>= 1.2.3), GGally (>= 1.4.0), ggplot2 (>= 3.2.1),
        ggridges (>= 0.5.1), grDevices, MASS (>= 7.3-51.5), methods,
        mvnfast (>= 0.2.5), network (>= 1.15), reshape (>= 0.8.8), Rcpp
        (>= 1.0.4.6), Rdpack (>= 0.11-1), sna (>= 2.5), stats, utils,
Suggests: abind (>= 1.4-5), assortnet (>= 0.12), networktools (>=
        1.3.0), mice (>= 3.8.0), psych, knitr, rmarkdown, testthat (>=
        3.0.0)
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
RoxygenNote: 7.3.2
LinkingTo: Rcpp, RcppArmadillo, RcppDist, RcppProgress
RdMacros: Rdpack
BugReports: https://github.com/rast-lab/BGGM/issues
Config/testthat/edition: 3
URL: https://rast-lab.github.io/BGGM/
NeedsCompilation: yes
Packaged: 2025-12-02 04:28:01 UTC; philippe
Repository: CRAN
Date/Publication: 2025-12-02 07:40:02 UTC
Built: R 4.6.0; x86_64-w64-mingw32; 2025-12-07 00:53:06 UTC; windows
Archs: x64
