stephenslab/susieR: Fit Sum of Single Effects Linear Regression Model

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 well-suited to settings where some of the X variables are highly correlated, and the true effects are highly sparse (e.g. <20 non-zero effects in the vector $b$), although it is also useful to more general applications.

Getting started

Package details

LicenseMIT + file LICENSE
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
stephenslab/susieR documentation built on Nov. 6, 2019, 1:09 p.m.