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]

NGBVS_0.3.0.tar.gz
NGBVS_0.3.0.zip(r-4.7-any)NGBVS_0.3.0.zip(r-4.6-any)NGBVS_0.3.0.zip(r-4.5-any)
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✨
DESCRIPTION
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'))

On CRAN:

Conda:

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

1.00 score 240 downloads 5 exports 5 dependencies

Last updated from:3d6f911eee. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK136
source / vignettesOK185
linux-releaseOK170
macos-releaseOK154
macos-oldrelOK187
windows-develOK59
windows-releaseOK62
windows-oldrelOK77
wasm-releaseOK108

Exports:asym_m_ngasym_s_ngm_ngrgigs_ng

Dependencies:RcppRcppArmadilloRcppParallelRfastzigg