The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
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 |
| 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 |
| Reference manual: | emBALVI.html , emBALVI.pdf |
| Package source: | emBALVI_0.1.0.tar.gz |
| Windows binaries: | r-devel: emBALVI_0.1.0.zip, r-release: emBALVI_0.1.0.zip, r-oldrel: emBALVI_0.1.0.zip |
| macOS binaries: | r-release (arm64): emBALVI_0.1.0.tgz, r-oldrel (arm64): not available, r-release (x86_64): emBALVI_0.1.0.tgz, r-oldrel (x86_64): emBALVI_0.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=emBALVI to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.