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ebreg  

Implementation of the Empirical Bayes Method
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ebreg", "0.1.3")



Attach the package and use:
library("ebreg")
Maintained by
Yiqi Tang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-10-29
Latest Update: 2021-05-26
Description:
Implements a Bayesian-like approach to the high-dimensional sparse linear regression problem based on an empirical or data-dependent prior distribution, which can be used for estimation/inference on the model parameters, variable selection, and prediction of a future response. The method was first presented in Martin, Ryan and Mess, Raymond and Walker, Stephen G (2017) . More details focused on the prediction problem are given in Martin, Ryan and Tang, Yiqi (2019) .
How to cite:
Yiqi Tang (2019). ebreg: Implementation of the Empirical Bayes Method. R package version 0.1.3, https://cran.r-project.org/web/packages/ebreg. Accessed 07 Nov. 2024.
Previous versions and publish date:
0.1.0 (2019-10-29 16:00), 0.1.1 (2020-05-21 21:10), 0.1.2 (2020-05-26 12:10)
Other packages that cited ebreg R package
View ebreg citation profile
Other R packages that ebreg depends, imports, suggests or enhances
Complete documentation for ebreg
Functions, R codes and Examples using the ebreg R package
Some associated functions: ebreg . 
Some associated R codes: ebproject.R .  Full ebreg package functions and examples
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