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dlbayes  

Use Dirichlet Laplace Prior to Solve Linear Regression Problem and Do Variable Selection
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("dlbayes", "0.1.0")



Attach the package and use:
library("dlbayes")
Maintained by
Shijia Zhang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-11-14
Latest Update: 2018-11-14
Description:
The Dirichlet Laplace shrinkage prior in Bayesian linear regression and variable selection, featuring: utility functions in implementing Dirichlet-Laplace priors such as visualization; scalability in Bayesian linear regression; penalized credible regions for variable selection.
How to cite:
Shijia Zhang (2018). dlbayes: Use Dirichlet Laplace Prior to Solve Linear Regression Problem and Do Variable Selection. R package version 0.1.0, https://cran.r-project.org/web/packages/dlbayes. Accessed 06 Mar. 2026.
Previous versions and publish date:
No previous versions
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View dlbayes citation profile
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Complete documentation for dlbayes
Functions, R codes and Examples using the dlbayes R package
Some associated functions: dl . dlanalysis . dlhyper . dlprior . dlvs . 
Some associated R codes: dlanalysis.R . dlhyper.R . dlmain.R . dlprior.R . dlvs.R .  Full dlbayes package functions and examples
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