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) [submitted].
|Author||Nilotpal Sanyal [aut, cre]|
|Date of publication||2018-02-02 18:31:00 UTC|
|Maintainer||Nilotpal Sanyal <[email protected]>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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