Package: NGBVS 0.3.0

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>.

Authors:Abdulaziz Alenazi [aut, cre]

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NGBVS/json (API)

# Install 'NGBVS' in R:
install.packages('NGBVS', repos = c('https://alenazia.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 143 downloads 5 exports 6 dependencies

Last updated 2 years agofrom:3d6f911eee. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 14 2024
R-4.5-winOKOct 14 2024
R-4.5-linuxOKOct 14 2024
R-4.4-winOKOct 14 2024
R-4.4-macOKOct 14 2024
R-4.3-winOKOct 14 2024
R-4.3-macOKOct 14 2024

Exports:asym_m_ngasym_s_ngm_ngrgigs_ng

Dependencies:RcppRcppArmadilloRcppGSLRcppParallelRcppZigguratRfast