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emBALVI  

EM Bayesian Adaptive LASSO Variational Inference Based GWAS
View on CRAN: Click here


Download and install emBALVI package within the R console
Install from CRAN:
install.packages("emBALVI")

Install from Github:
library("remotes")
install_github("cran/emBALVI")

Install by package version:
library("remotes")
install_version("emBALVI", "0.1.0")



Attach the package and use:
library("emBALVI")
Maintained by
Prakash Kumar
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-04-16
Latest Update: 2026-04-16
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.
How to cite:
Prakash Kumar (2026). emBALVI: EM Bayesian Adaptive LASSO Variational Inference Based GWAS. R package version 0.1.0, https://cran.r-project.org/web/packages/emBALVI. Accessed 05 Jun. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited emBALVI R package
View emBALVI citation profile
Other R packages that emBALVI depends, imports, suggests or enhances
Complete documentation for emBALVI
Functions, R codes and Examples using the emBALVI R package
Full emBALVI package functions and examples
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