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.

Version: 0.1.0
Depends: R (≥ 4.0)
Imports: ggplot2, RColorBrewer
Suggests: rmarkdown, testthat (≥ 3.0.0), roxygen2
Published: 2026-04-16
DOI: 10.32614/CRAN.package.emBALVI (may not be active yet)
Author: 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]
Maintainer: Prakash Kumar <prakash289111 at gmail.com>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README
CRAN checks: emBALVI results

Documentation:

Reference manual: emBALVI.html , emBALVI.pdf

Downloads:

Package source: emBALVI_0.1.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

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