Package: bayesreg
Type: Package
Title: Bayesian Regression Models with Global-Local Shrinkage Priors
Version: 1.1
Date: 2019-06-03
Author: Daniel F. Schmidt [aut, cph, cre],
  Enes Makalic [aut, cph]
Maintainer: Daniel F. Schmidt <daniel.schmidt@monash.edu>
Description: Fits linear or logistic regression model using Bayesian global-local shrinkage prior hierarchies as described in Polson and Scott (2010) <doi:10.1093/acprof:oso/9780199694587.003.0017>. Handles ridge, lasso, horseshoe and horseshoe+ regression with logistic, Gaussian, Laplace or Student-t 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")), 
            person("Enes Makalic", email="emakalic@unimelb.edu.au", role=c("aut","cph"))
           )
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-06-03 06:32:33 UTC; Daniel
Repository: CRAN
Date/Publication: 2019-06-03 11:30:19 UTC
