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emBayes  

Robust Bayesian Variable Selection via Expectation-Maximization
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("emBayes", "0.1.6")



Attach the package and use:
library("emBayes")
Maintained by
Yuwen Liu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-05-20
Latest Update: 2024-09-15
Description:
Variable selection methods have been extensively developed for analyzing high-dimensional omics data within both the frequentist and Bayesian frameworks. This package implemented the spike-and-slab quantile LASSO which has been developed along the line of Bayesian hierarchical model but deeply rooted in the frequentist regularization methods by utilizing the Expectation
How to cite:
Yuwen Liu (2023). emBayes: Robust Bayesian Variable Selection via Expectation-Maximization. R package version 0.1.6, https://cran.r-project.org/web/packages/emBayes. Accessed 04 Jun. 2026.
Previous versions and publish date:
0.1.0 (2023-05-20 10:10), 0.1.1 (2023-06-06 22:10), 0.1.2 (2023-08-07 22:20), 0.1.4 (2023-11-07 06:10), 0.1.5 (2024-03-29 17:50)
Other packages that cited emBayes R package
View emBayes citation profile
Other R packages that emBayes depends, imports, suggests or enhances
Complete documentation for emBayes
Functions, R codes and Examples using the emBayes R package
Some associated functions: cv.emBayes . data . emBayes-package . emBayes . print.cv.emBayes . print.emBayes . 
Some associated R codes: RcppExports.R . cv.emBayes.R . data.R . emBayes-package.R . emBayes.R . print.emBayes.R .  Full emBayes package functions and examples
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