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) ; Smith et al. (2022) and Smith et al. (2023) , 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] (), Mohammad Arashi [aut] (), Andriette Bekker [aut] () Maintainer: Jarod Smith Repository: CRAN Date/Publication: 2023-11-11 10:43:22 UTC