Title: Bayesian Regression Models with Continuous Shrinkage Priors
Author: Daniel F. Schmidt and Enes Makalic
Maintainer: Daniel F. Schmidt <dschmidt@unimelb.edu.au>
Description: Fits linear or logistic regression model using Bayesian continuous
shrinkage prior distributions. Handles ridge, lasso, horseshoe and horseshoe+
regression with logistic, Gaussian, Laplace or Student-t distributed targets.
Depends: methods (>= 2.0), BayesLogit (>= 0.6)

Title: Bayesian Regression Models with Global-Local Shrinkage Priors
Author: Daniel F. Schmidt [aut, cph, cre],
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>.
Imports: stats (>= 3.0), pgdraw (>= 1.0)
person("Daniel F. Schmidt", email="daniel.schmidt@monash.edu", role = c("aut","cph","cre")),

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>.
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"))
Author: Daniel F. Schmidt [aut, cph, cre]

Title: Datasets and Supplemental Functions from Bayes Rules! Book
person("Mine", "Dogucu", , "mdogucu@gmail.com", c("aut", "cre"), comment = c(ORCID = "0000-0002-8007-934X")),
person("Alicia", "Johnson", , role = "aut"),
Description: Provides datasets and functions used for analysis
and visualizations in the Bayes Rules! book (<https://www.bayesrulesbook.com>).
The package contains a set of functions that summarize and plot Bayesian models from some conjugate families
and another set of functions for evaluation of some Bayesian models.
Imports: ggplot2, janitor, magrittr, dplyr, stats, purrr, rstanarm,
Packaged: 2021-06-21 01:07:23 UTC; minedogucu
Author: Mine Dogucu [aut, cre] (<https://orcid.org/0000-0002-8007-934X>),