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: 2026-09-30 07:25:58 UTC; root
Config/pak/sysreqs: cmake
Repository: https://alenazia.r-universe.dev
Date/Publication: 2022-09-16 15:36:05 UTC
RemoteUrl: https://github.com/cran/NGBVS
RemoteRef: HEAD
RemoteSha: 3d6f911eee71f5f6b9d51ec5620c8cfe45608761