GWASinlps: Nonlocal Prior Based Iterative SNP Selection Tool for Genome-Wide Association Studies

Performs variable selection with data from Genome-wide association studies (GWAS) combining, in an iterative variable selection framework, the computational efficiency of the screen-and-select approach based on some association learning and the parsimonious uncertainty quantification provided by the use of nonlocal priors, as described in Sanyal et al. (2018).

Package details

AuthorNilotpal Sanyal [aut, cre]
MaintainerNilotpal Sanyal <>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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GWASinlps documentation built on May 2, 2019, 4:01 p.m.