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susieRsmall

The susieRsmall package implementsa robustified version of SuSiE when fine-mapping small studies

The package is an update of the original work of Gao Wang, Peter Carbonetto, Yuxin Zou, Kaiqian Zhang, and Matthew Stephens from the Stephens Lab at the University of Chicago.

Quick Start

install the latest development version of susieR from GitHub:

# install.packages("remotes")
remotes::install_github("william-denault/susieRsmall")
library(susieRsmall)

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R package for "sum of single effects" regression.

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  • R 95.4%
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