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NGBVS  

Bayesian Variable Selection for SNP Data using Normal-Gamma
View on CRAN: Click here


Download and install NGBVS package within the R console
Install from CRAN:
install.packages("NGBVS")

Install from Github:
library("remotes")
install_github("cran/NGBVS")

Install by package version:
library("remotes")
install_version("NGBVS", "0.3.0")



Attach the package and use:
library("NGBVS")
Maintained by
Abdulaziz Alenazi
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-11-04
Latest Update: 2022-09-16
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. .
How to cite:
Abdulaziz Alenazi (2019). NGBVS: Bayesian Variable Selection for SNP Data using Normal-Gamma. R package version 0.3.0, https://cran.r-project.org/web/packages/NGBVS. Accessed 11 Jun. 2026.
Previous versions and publish date:
0.1.0 (2019-11-04 16:00), 0.2.0 (2020-01-16 12:10)
Other packages that cited NGBVS R package
View NGBVS citation profile
Other R packages that NGBVS depends, imports, suggests or enhances
Complete documentation for NGBVS
Functions, R codes and Examples using the NGBVS R package
Some associated functions: NG-package . asym_m_ng . asym_s_ng . m_ng . rgig . s_ng . 
Some associated R codes: asym_m_ng.R . asym_s_ng.R . m_ng.R . rgig.R . s_ng.R .  Full NGBVS package functions and examples
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