Package: baygel
Type: Package
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)
LinkingTo: Rcpp, RcppArmadillo, RcppProgress
Suggests: MASS, pracma
RoxygenNote: 7.2.3
URL: https://github.com/Jarod-Smithy/baygel
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2023-11-11 10:22:48 UTC; qxz0gwg
Author: Jarod Smith [aut, cre] (<https://orcid.org/0000-0003-4235-6147>),
  Mohammad Arashi [aut] (<https://orcid.org/0000-0002-5881-9241>),
  Andriette Bekker [aut] (<https://orcid.org/0000-0003-4793-5674>)
Maintainer: Jarod Smith <jarodsmith706@gmail.com>
Repository: CRAN
Date/Publication: 2023-11-11 10:43:22 UTC
Built: R 4.3.3; aarch64-apple-darwin20; 2025-01-24 04:31:00 UTC; unix
Archs: baygel.so.dSYM
