Package: emBALVI
Title: EM Bayesian Adaptive LASSO Variational Inference Based GWAS
Version: 0.1.0
Authors@R: c(person("Prakash","Kumar",role=c("aut","cre"),email="prakash289111@gmail.com"),
             person(c("Himadri","Sekhar"),"Roy",role="aut"),
             person(c("Ranjit","Kumar"),"Paul",role="aut"),
             person("Md.","Yeasin",role="aut"),
             person("Neeraj","Budhlakoti",role="aut"),
             person(c("Sunil","Kumar"),"Yadav",role="aut"),
             person(c("Amrit","Kumar"),"Paul",role="aut"))
Description: 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.
Depends: R (>= 4.0)
Imports: ggplot2, RColorBrewer
Suggests: rmarkdown, testthat (>= 3.0.0), roxygen2
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.3
NeedsCompilation: no
Packaged: 2026-06-15 07:56:03 UTC; root
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@gmail.com>
Repository: https://cran.r-universe.dev
Date/Publication: 2026-04-16 09:53:08 UTC
RemoteUrl: https://github.com/cran/emBALVI
RemoteRef: HEAD
RemoteSha: 56aff80a3a1a494f5403adc2b4b846865eaae4b9