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: 2026-04-09 09:49:46 UTC; iasri
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: CRAN
Date/Publication: 2026-04-16 08:30:08 UTC
Built: R 4.5.2; ; 2026-04-17 09:17:03 UTC; unix
