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emBayes
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", "0.1.5")
Attach the package and use:
library("emBayes")
Maintained by
Yuwen Liu
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-05-20
Latest Update: 2023-11-07
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 0.1.5, https://cran.r-project.org/web/packages/emBayes
Previous versions and publish date:
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Other R packages that emBayes depends,
imports, suggests or enhances
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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