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

Maintainer
LicenseMIT + file LICENSE
Version0.8.1.0545
URL https://github.com/stephenslab/susieR
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("stephenslab/susieR")
stephenslab/susieR documentation built on Nov. 6, 2019, 1:09 p.m.