The package implements a simple new way to perform variable selection in multiple regression ($y=Xb+e$), using computationally efficient variational Bayes approach. The methods implemented here are particularly wellsuited to settings where some of the X variables are highly correlated, and the true effects are highly sparse (e.g. <20 nonzero effects in the vector $b$), although it is also useful to more general applications.
Package details 


Maintainer  
License  MIT + file LICENSE 
Version  0.8.1.0545 
URL  https://github.com/stephenslab/susieR 
Package repository  View on GitHub 
Installation 
Install the latest version of this package by entering the following in R:

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