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).
|License:||GPL (>= 2)|
Nilotpal Sanyal <email@example.com>
Maintainer: Nilotpal Sanyal <firstname.lastname@example.org>
Sanyal et al. (2018), "GWASinlps: Nonlocal prior based iterative SNP selection tool for genome-wide association studies".
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