Package: BGGM
Type: Package
Title: Bayesian Gaussian Graphical Models
Version: 2.0.4
Date: 2021-08-18
Authors@R: c(person("Donald", "Williams", email = "drwwilliams@ucdavis.edu", role = c("aut", "cre")),
             person("Joris", "Mulder", email = "J.Mulder3@uvt.nl", role = "aut"))
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 (>= 3.5.0)
License: GPL-2
Imports: BFpack (>= 0.2.1), 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 (>=
        1.2.3), mice (>= 3.8.0), psych, knitr, rmarkdown
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
RoxygenNote: 7.1.1
LinkingTo: Rcpp, RcppArmadillo, RcppDist, RcppProgress
RdMacros: Rdpack
BugReports: https://github.com/donaldRwilliams/BGGM/issues
NeedsCompilation: yes
Packaged: 2021-08-18 15:30:12 UTC; bryce
Author: Donald Williams [aut, cre],
  Joris Mulder [aut]
Maintainer: Donald Williams <drwwilliams@ucdavis.edu>
Repository: CRAN
Date/Publication: 2021-08-20 15:50:06 UTC
Built: R 4.1.3; x86_64-w64-mingw32; 2023-04-17 20:29:36 UTC; windows
Archs: i386, x64
