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>.

Getting started

Package details

AuthorAbdulaziz Alenazi [aut, cre]
MaintainerAbdulaziz Alenazi <a.alenazi@nbu.edu.sa>
LicenseGPL (>= 2)
Version0.3.0
URL
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("NGBVS")

Try the NGBVS package in your browser

Any scripts or data that you put into this service are public.

NGBVS documentation built on Sept. 16, 2022, 5:06 p.m.