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 |
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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