Package: bravo 3.2.2

Dongjin Li

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
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://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

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

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.00 score 3 scripts 282 downloads 4 exports 3 dependencies

Last updated 1 days agofrom:d9d18ee01b. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKOct 30 2024
R-4.5-linux-x86_64OKOct 30 2024

Exports:bitsmip.svenpredict.svensven

Dependencies:latticeMatrixRcpp