Package: bayesreg
Type: Package
Title: Bayesian Regression Models with Global-Local Shrinkage Priors
Version: 1.3
Date: 2024-09-30
Maintainer: Daniel F. Schmidt <daniel.schmidt@monash.edu>
Description: Fits linear or generalized linear regression models using Bayesian global-local shrinkage prior hierarchies as described in Polson and Scott (2010) <doi:10.1093/acprof:oso/9780199694587.003.0017>. 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) <doi:10.48550/arXiv.1611.06649>.
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: 2024-09-30 07:35:45 UTC; dsch0006
Author: Daniel F. Schmidt [aut, cph, cre]
    (<https://orcid.org/0000-0002-1788-2375>),
  Enes Makalic [aut, cph] (<https://orcid.org/0000-0003-3017-0871>)
Repository: CRAN
Date/Publication: 2024-09-30 08:00:02 UTC
Built: R 4.6.0; ; 2026-04-27 14:52:59 UTC; unix
