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-4.7)NGBVS_0.3.0.zip(r-4.6)NGBVS_0.3.0.zip(r-4.5)
NGBVS_0.3.0.tgz(r-4.6-any)NGBVS_0.3.0.tgz(r-4.5-any)
NGBVS_0.3.0.tar.gz(r-4.7-any)NGBVS_0.3.0.tar.gz(r-4.6-any)
NGBVS_0.3.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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 from:3d6f911eee. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 126 | ||
| source / vignettes | OK | 188 | ||
| linux-release-x86_64 | OK | 150 | ||
| macos-release-arm64 | OK | 146 | ||
| macos-oldrel-arm64 | OK | 179 | ||
| windows-devel | OK | 73 | ||
| windows-release | OK | 65 | ||
| windows-oldrel | OK | 84 | ||
| wasm-release | OK | 103 |
Exports:asym_m_ngasym_s_ngm_ngrgigs_ng
Dependencies:RcppRcppArmadilloRcppParallelRfastzigg
