Package: baygel
Title: Bayesian Shrinkage Estimators for Precision Matrices in Gaussian
        Graphical Models
Version: 0.3.0
Date: 2023-11-11
Authors@R: c(person("Jarod", "Smith", email = "jarodsmith706@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-4235-6147")),
  person("Mohammad", "Arashi", email = "arashi@um.ac.ir", role = "aut", comment = c(ORCID = "0000-0002-5881-9241")),
  person("Andriette", "Bekker", email = "andriette.bekker@up.ac.za", role = "aut", comment = c(ORCID = "0000-0003-4793-5674")))
Description: This R package offers block Gibbs samplers for the
        Bayesian (adaptive) graphical lasso, ridge, and naive elastic
        net priors. These samplers facilitate the simulation of the
        posterior distribution of precision matrices for Gaussian
        distributed data and were originally proposed by: Wang (2012)
        <doi:10.1214/12-BA729>; Smith et al. (2022)
        <doi:10.48550/arXiv.2210.16290> and Smith et al. (2023)
        <doi:10.48550/arXiv.2306.14199>, respectively.
License: GPL (>= 3)
Imports: Rcpp (>= 1.0.8), RcppArmadillo (>= 0.11.1.1.0), pracma,
        statmod, stats
LinkingTo: Rcpp, RcppArmadillo, RcppProgress
Suggests: MASS
RoxygenNote: 7.2.3
Encoding: UTF-8
URL: https://github.com/Jarod-Smithy/baygel
Repository: https://jarod-smithy.r-universe.dev
Date/Publication: 2023-11-12 08:02:24 UTC
RemoteUrl: https://github.com/jarod-smithy/baygel
RemoteRef: HEAD
RemoteSha: 2484b8b487c763684288fb51fdb90852af62524f
NeedsCompilation: yes
Packaged: 2026-10-08 08:52:34 UTC; root
Author: Jarod Smith [aut, cre] (ORCID: <https://orcid.org/0000-0003-4235-6147>),
  Mohammad Arashi [aut] (ORCID: <https://orcid.org/0000-0002-5881-9241>),
  Andriette Bekker [aut] (ORCID: <https://orcid.org/0000-0003-4793-5674>)
Maintainer: Jarod Smith <jarodsmith706@gmail.com>