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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>.

Versions across snapshots

VersionRepositoryFileSize
0.3.0 rolling linux/jammy R-4.5 NGBVS_0.3.0.tar.gz 63.9 KiB
0.3.0 rolling linux/noble R-4.5 NGBVS_0.3.0.tar.gz 63.8 KiB
0.3.0 rolling source/ R- NGBVS_0.3.0.tar.gz 7.5 KiB
0.3.0 latest linux/jammy R-4.5 NGBVS_0.3.0.tar.gz 63.9 KiB
0.3.0 latest linux/noble R-4.5 NGBVS_0.3.0.tar.gz 63.8 KiB
0.3.0 latest source/ R- NGBVS_0.3.0.tar.gz 7.5 KiB
0.3.0 2026-04-26 source/ R- NGBVS_0.3.0.tar.gz 7.5 KiB
0.3.0 2026-04-23 source/ R- NGBVS_0.3.0.tar.gz 7.5 KiB
0.3.0 2026-04-09 windows/windows R-4.5 NGBVS_0.3.0.zip 66.4 KiB
0.3.0 2025-04-20 source/ R- NGBVS_0.3.0.tar.gz 7.5 KiB

Dependencies (latest)

Imports