High-Performance Open-Source Archive
Performs Bayesian variable screening and selection for ultra-high dimensional linear regression models.Also contains an user friendly web application to perform multi trait GWAS.
| Version: | 4.1.0 |
| Depends: | R (≥ 3.0.2), methods |
| Imports: | Rcpp (≥ 1.0.2), Matrix (≥ 1.2-17), dplyr, parallel, doParallel, foreach, shiny, bslib, memuse, shinyjs |
| LinkingTo: | Rcpp |
| Published: | 2026-06-09 |
| DOI: | 10.32614/CRAN.package.bravo |
| Author: | Dongjin Li [aut, cre], Debarshi Chakraborty [aut], Somak Dutta [aut], Vivekananda Roy [ctb] |
| Maintainer: | Dongjin Li <liyangxiaobei at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| Materials: | README |
| In views: | Agriculture |
| CRAN checks: | bravo results |
| Reference manual: | bravo.html , bravo.pdf |
| Package source: | bravo_4.1.0.tar.gz |
| Windows binaries: | r-devel: bravo_4.1.0.zip, r-release: bravo_4.1.0.zip, r-oldrel: bravo_4.1.0.zip |
| macOS binaries: | r-release (arm64): bravo_4.1.0.tgz, r-oldrel (arm64): bravo_4.1.0.tgz, r-release (x86_64): bravo_4.1.0.tgz, r-oldrel (x86_64): bravo_4.1.0.tgz |
| Old sources: | bravo archive |
Please use the canonical form https://CRAN.R-project.org/package=bravo to link to this page.
Need mirroring services?
Contact our team at info@vpspulse.com.
Mirror powered by VPSpulse
Infrastructure sponsored by VPSPulse & Secure Payments by ArionPay.