Package: NGBVS
Type: Package
Title: Bayesian Variable Selection for SNP Data using Normal-Gamma
Version: 0.3.0
URL:
Date: 2022-09-12
Authors@R: c(person("Abdulaziz", "Alenazi", role = c("aut", "cre"), email = "a.alenazi@nbu.edu.sa"))
Author: Abdulaziz Alenazi [aut, cre]
Maintainer: Abdulaziz Alenazi <a.alenazi@nbu.edu.sa>
Depends: R (>= 3.6.0)
Imports: stats, Rfast
Description: 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>.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2022-09-12 16:42:23 UTC; Michail
Repository: CRAN
Date/Publication: 2022-09-16 16:36:05 UTC
Built: R 4.2.0; ; 2022-09-18 21:55:52 UTC; unix
