NGBVS: Bayesian Variable Selection for SNP Data using Normal-Gamma

Posterior distribution of case-control fine-mapping. Specifically, Bayesian variable selection for single-nucleotide polymorphism (SNP) data using the normal-gamma prior. Alenazi A.A., Cox A., Juarez M,. Lin W-Y. and Walters, K. (2019) Bayesian variable selection using partially observed categorical prior information in fine-mapping association studies, Genetic Epidemiology. <doi:10.1002/gepi.22213>.

Version:	0.3.0
Depends:	R (≥ 3.6.0)
Imports:	stats, Rfast
Published:	2022-09-16
DOI:	10.32614/CRAN.package.NGBVS
Author:	Abdulaziz Alenazi [aut, cre]
Maintainer:	Abdulaziz Alenazi <a.alenazi at nbu.edu.sa>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	no
CRAN checks:	NGBVS results

Documentation:

Reference manual:

NGBVS.html , NGBVS.pdf

Downloads:

Package source:	NGBVS_0.3.0.tar.gz
Windows binaries:	r-devel: NGBVS_0.3.0.zip, r-release: NGBVS_0.3.0.zip, r-oldrel: NGBVS_0.3.0.zip
macOS binaries:	r-release (arm64): NGBVS_0.3.0.tgz, r-oldrel (arm64): NGBVS_0.3.0.tgz, r-release (x86_64): NGBVS_0.3.0.tgz, r-oldrel (x86_64): NGBVS_0.3.0.tgz
Old sources:	NGBVS archive

Linking:

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