Package: bravo 3.2.2

bravo: Bayesian Screening and Variable Selection

Performs Bayesian variable screening and selection for ultra-high dimensional linear regression models.

Authors:Dongjin Li [aut, cre], Debarshi Chakraborty[aut], Somak Dutta [aut], Vivekananda Roy [ctb]

bravo_3.2.2.tar.gz
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bravo_3.2.2.tgz(r-4.4-x86_64)bravo_3.2.2.tgz(r-4.4-arm64)bravo_3.2.2.tgz(r-4.3-x86_64)bravo_3.2.2.tgz(r-4.3-arm64)
bravo_3.2.2.tar.gz(r-4.5-noble)bravo_3.2.2.tar.gz(r-4.4-noble)
bravo_3.2.2.tgz(r-4.4-emscripten)bravo_3.2.2.tgz(r-4.3-emscripten)
bravo.pdf |bravo.html✨
bravo/json (API)

# Install 'bravo' in R:
install.packages('bravo', repos = c('https://dongjli.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/dongjli/bravo/issues

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

3.78 score 2 stars 3 scripts 721 downloads 4 exports 3 dependencies

Last updated 1 months agofrom:4c0d7f73b1. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 22 2024
R-4.5-win-x86_64OKNov 22 2024
R-4.5-linux-x86_64OKNov 22 2024
R-4.4-win-x86_64OKNov 22 2024
R-4.4-mac-x86_64OKNov 22 2024
R-4.4-mac-aarch64OKNov 22 2024
R-4.3-win-x86_64OKNov 22 2024
R-4.3-mac-x86_64OKNov 22 2024
R-4.3-mac-aarch64OKNov 22 2024

Exports:bitsmip.svenpredict.svensven

Dependencies:latticeMatrixRcpp