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bayesreg  

Bayesian Regression Models with Global-Local Shrinkage Priors
View on CRAN: Click here


Download and install bayesreg package within the R console
Install from CRAN:
install.packages("bayesreg")

Install from Github:
library("remotes")
install_github("cran/bayesreg")

Install by package version:
library("remotes")
install_version("bayesreg", "1.2")



Attach the package and use:
library("bayesreg")
Maintained by
Daniel F. Schmidt
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-11-24
Latest Update: 2021-03-29
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) .
How to cite:
Daniel F. Schmidt (2016). bayesreg: Bayesian Regression Models with Global-Local Shrinkage Priors. R package version 1.2, https://cran.r-project.org/web/packages/bayesreg
Previous versions and publish date:
1.0 (2016-11-24 11:31), 1.1 (2019-06-03 13:30)
Other packages that cited bayesreg R package
View bayesreg citation profile
Other R packages that bayesreg depends, imports, suggests or enhances
Functions, R codes and Examples using the bayesreg R package
Some associated functions: bayesreg-package . bayesreg . predict.bayesreg . spambase . summary.bayesreg . 
Some associated R codes: bayesreg-package.R . bayesreg.R . data.R . tempcode.R . test.R .  Full bayesreg package functions and examples
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