bravo: Bayesian Screening and Variable Selection

Performs Bayesian variable selection with embedded screening for ultra-high dimensional Gaussian linear regression models. The methodology is described in Li, Dutta and Roy (2020) <arXiv:2006.07561>.

Version: 2.0.0
Depends: R (≥ 3.0.2), methods
Imports: Rcpp (≥ 1.0.2), Matrix (≥ 1.2-17)
LinkingTo: Rcpp
Published: 2021-07-20
Author: Dongjin Li [aut, cre], Somak Dutta [aut], Vivekananda Roy [ctb]
Maintainer: Dongjin Li <dongjl at>
License: GPL-3
NeedsCompilation: yes
Materials: README
CRAN checks: bravo results


Reference manual: bravo.pdf
Package source: bravo_2.0.0.tar.gz
Windows binaries: r-devel:, r-devel-UCRT:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): bravo_2.0.0.tgz, r-release (x86_64): bravo_2.0.0.tgz, r-oldrel: bravo_2.0.0.tgz
Old sources: bravo archive


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