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: 1.0.3
Depends: R (≥ 3.0.2), methods
Imports: Rcpp (≥ 1.0.2), Matrix (≥ 1.2-17), compiler
LinkingTo: Rcpp
Published: 2020-09-22
Author: Dongjin Li [aut, cre], Somak Dutta [aut], Vivekananda Roy [ctb]
Maintainer: Dongjin Li <dongjl at iastate.edu>
License: GPL-3
NeedsCompilation: yes
Materials: README
CRAN checks: bravo results

Downloads:

Reference manual: bravo.pdf
Package source: bravo_1.0.3.tar.gz
Windows binaries: r-devel: bravo_1.0.3.zip, r-release: bravo_1.0.3.zip, r-oldrel: bravo_1.0.3.zip
macOS binaries: r-release: bravo_1.0.3.tgz, r-oldrel: bravo_1.0.3.tgz

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