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) [submitted].

Version: 1.1
Depends: mombf
Imports: horseshoe
Suggests: glmnet
Published: 2018-02-02
Author: Nilotpal Sanyal [aut, cre]
Maintainer: Nilotpal Sanyal <nisanyal at ucsd.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://www.r-project.org
NeedsCompilation: no
Materials: ChangeLog
CRAN checks: GWASinlps results

Downloads:

Reference manual: GWASinlps.pdf
Package source: GWASinlps_1.1.tar.gz
Windows binaries: r-devel: GWASinlps_1.1.zip, r-release: GWASinlps_1.1.zip, r-oldrel: GWASinlps_1.1.zip
OS X binaries: r-release: GWASinlps_1.1.tgz, r-oldrel: GWASinlps_1.1.tgz
Old sources: GWASinlps archive

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