Package: bayesreg
Type: Package
Title: Bayesian Regression Models with Global-Local Shrinkage Priors
Version: 1.2
Date: 2021-03-29
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) <arXiv:1611.06649>.
License: GPL (>= 3)
Imports: stats (>= 3.0), pgdraw (>= 1.0)
Authors@R: c(
            person("Daniel F. Schmidt", email="daniel.schmidt@monash.edu", role = c("aut","cph","cre"), comment = c(ORCID = "0000-0002-1788-2375")), 
            person("Enes Makalic", email="emakalic@unimelb.edu.au", role=c("aut","cph"), comment = c(ORCID = "0000-0003-3017-0871"))
		)
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2021-03-29 00:29:10 UTC; Daniel
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: 2021-03-29 05:40:02 UTC
