Package: emBALVI 0.1.0

Prakash Kumar

emBALVI: EM Bayesian Adaptive LASSO Variational Inference Based GWAS

Performs Genome-Wide Association Study (GWAS) analysis using Expectation-Maximization Bayesian Adaptive LASSO with Variational Inference (emBALVI). Includes genotype preprocessing, genomic relationship matrix construction, GWAS analysis, Manhattan and QQ plotting.s.

Authors:Prakash Kumar [aut, cre], Himadri Sekhar Roy [aut], Ranjit Kumar Paul [aut], Md. Yeasin [aut], Neeraj Budhlakoti [aut], Sunil Kumar Yadav [aut], Amrit Kumar Paul [aut]

emBALVI_0.1.0.tar.gz
emBALVI_0.1.0.tar.gz(r-4.7-any)emBALVI_0.1.0.tar.gz(r-4.6-any)
emBALVI_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION
card.svg |card.png
emBALVI/json (API)

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

On CRAN:

Conda:

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

1.70 score 399 downloads 5 exports 17 dependencies

Last updated from:56aff80a3a. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK115
source / vignettesOK163
linux-release-x86_64OK140
wasm-releaseOK106

Exports:buildGRMconvert_to_dosageemBALVIplot_manhattanplot_qq

Dependencies:clicpp11farverggplot2gluegtableisobandlabelinglifecycleR6RColorBrewerrlangS7scalesvctrsviridisLitewithr