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:
NGBVS_0.3.0.tar.gz
NGBVS_0.3.0.zip(r-4.5)NGBVS_0.3.0.zip(r-4.4)NGBVS_0.3.0.zip(r-4.3)
NGBVS_0.3.0.tgz(r-4.4-any)NGBVS_0.3.0.tgz(r-4.3-any)
NGBVS_0.3.0.tar.gz(r-4.5-noble)NGBVS_0.3.0.tar.gz(r-4.4-noble)
NGBVS_0.3.0.tgz(r-4.4-emscripten)NGBVS_0.3.0.tgz(r-4.3-emscripten)
NGBVS.pdf |NGBVS.html✨
NGBVS/json (API)
# Install 'NGBVS' in R: |
install.packages('NGBVS', repos = c('https://alenazia.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:3d6f911eee. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 13 2024 |
R-4.5-win | OK | Nov 13 2024 |
R-4.5-linux | OK | Nov 13 2024 |
R-4.4-win | OK | Nov 13 2024 |
R-4.4-mac | OK | Nov 13 2024 |
R-4.3-win | OK | Nov 13 2024 |
R-4.3-mac | OK | Nov 13 2024 |
Exports:asym_m_ngasym_s_ngm_ngrgigs_ng
Dependencies:RcppRcppArmadilloRcppGSLRcppParallelRcppZigguratRfast