Package: bayesreg Type: Package Title: Bayesian Regression Models with Global-Local Shrinkage Priors Version: 1.3 Date: 2024-09-30 Maintainer: Daniel F. Schmidt Description: Fits linear or generalized linear regression models using Bayesian global-local shrinkage prior hierarchies as described in Polson and Scott (2010) . Provides an efficient implementation of ridge, lasso, horseshoe and horseshoe+ regression with logistic, Gaussian, Laplace, Student-t, Poisson or geometric distributed targets using the algorithms summarized in Makalic and Schmidt (2016) . License: GPL (>= 3) Imports: stats (>= 3.0) Depends: pgdraw (>= 1.0), doParallel (>= 1.0.16), foreach (>= 1.5.1) Authors@R: c( person(given="Daniel F.", family="Schmidt", email="daniel.schmidt@monash.edu", role = c("aut","cph","cre"), comment = c(ORCID = "0000-0002-1788-2375")), person(given="Enes", family="Makalic", email="enes.makalic@monash.edu", role=c("aut","cph"), comment = c(ORCID = "0000-0003-3017-0871")) ) RoxygenNote: 7.1.2 NeedsCompilation: no Packaged: 2026-10-04 11:01:56 UTC; root Author: Daniel F. Schmidt [aut, cph, cre] (), Enes Makalic [aut, cph] () Repository: https://cran.r-universe.dev Date/Publication: 2024-09-30 08:00:02 UTC RemoteUrl: https://github.com/cran/bayesreg RemoteRef: HEAD RemoteSha: cd25c7f71ab9327f05aa9fa933c14ff56ec4b4c3