Package: basad 0.3.0

basad: Bayesian Variable Selection with Shrinking and Diffusing Priors

Provides a Bayesian variable selection approach using continuous spike and slab prior distributions. The prior choices here are motivated by the shrinking and diffusing priors studied in Narisetty & He (2014) <doi:10.1214/14-AOS1207>.

Authors:Qingyan Xiang <[email protected]>, Naveen Narisetty <[email protected]>

basad_0.3.0.tar.gz
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basad_0.3.0.tgz(r-4.6-x86_64)basad_0.3.0.tgz(r-4.6-arm64)basad_0.3.0.tgz(r-4.5-x86_64)basad_0.3.0.tgz(r-4.5-arm64)
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basad_0.3.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
basad/json (API)

# Install 'basad' in R:
install.packages('basad', repos = c('https://qingyan16.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

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

cpp

1.00 score 5 scripts 464 downloads 1 exports 3 dependencies

Last updated from:e21f369c14. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK106
linux-devel-x86_64OK167
source / vignettesOK153
linux-release-arm64OK98
linux-release-x86_64OK113
macos-release-arm64OK231
macos-release-x86_64OK407
macos-oldrel-arm64OK194
macos-oldrel-x86_64OK384
windows-devel-arm64OK348
windows-devel-x86_64OK126
windows-release-arm64OK352
windows-release-x86_64OK122
windows-oldrel-x86_64OK121
wasm-releaseOK93

Exports:basad

Dependencies:RcppRcppEigenrmutil