Package: bravo 4.0.0

bravo: Bayesian Screening and Variable Selection

Performs Bayesian variable screening and selection for ultra-high dimensional linear regression models.Also contains an user friendly web application to perform multi trait GWAS.

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

bravo_4.0.0.tar.gz
bravo_4.0.0.zip(r-4.7)bravo_4.0.0.zip(r-4.6)bravo_4.0.0.zip(r-4.5)
bravo_4.0.0.tgz(r-4.6-x86_64)bravo_4.0.0.tgz(r-4.6-arm64)bravo_4.0.0.tgz(r-4.5-x86_64)bravo_4.0.0.tgz(r-4.5-arm64)
bravo_4.0.0.tar.gz(r-4.7-arm64)bravo_4.0.0.tar.gz(r-4.7-x86_64)bravo_4.0.0.tar.gz(r-4.6-arm64)bravo_4.0.0.tar.gz(r-4.6-x86_64)
bravo_4.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
bravo/json (API)

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

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

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

On CRAN:

Conda:

cpp

3.78 score 2 stars 4 scripts 793 downloads 10 exports 46 dependencies

Last updated from:a3e57ff7a2. Checks:11 WARNING, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64WARNING173
linux-devel-x86_64WARNING202
source / vignettesOK182
linux-release-arm64WARNING148
linux-release-x86_64WARNING207
macos-release-arm64WARNING154
macos-release-x86_64WARNING395
macos-oldrel-arm64WARNING174
macos-oldrel-x86_64WARNING296
windows-develWARNING179
windows-releaseWARNING124
windows-oldrelWARNING111
wasm-releaseOK114

Exports:bitscalc.runtimedense_to_sparse_converterdense2sparsemip.svenparameter_selectionpredict.svensvensveneticssvenetics_pipeline

Dependencies:base64encbslibcachemclicodetoolscommonmarkdigestdoParalleldplyrfastmapfontawesomeforeachfsgenericsgluehtmltoolshttpuviteratorsjquerylibjsonlitelaterlatticelifecyclemagrittrMatrixmemoisememusemimeotelpillarpkgconfigpromisesR6rappdirsRcpprlangsassshinyshinyjssourcetoolstibbletidyselectutf8vctrswithrxtable