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]>

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basad.pdf |basad.html✨
basad/json (API)

# Install 'basad' in R:
install.packages('basad', repos = c('https://qingyan16.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

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

On CRAN:

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

1.00 score 2 scripts 304 downloads 1 exports 3 dependencies

Last updated 3 years agofrom:e21f369c14. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 09 2024
R-4.5-win-x86_64OKNov 09 2024
R-4.5-linux-x86_64OKNov 09 2024
R-4.4-win-x86_64OKNov 09 2024
R-4.4-mac-x86_64OKNov 09 2024
R-4.4-mac-aarch64OKNov 09 2024
R-4.3-win-x86_64OKNov 09 2024
R-4.3-mac-x86_64OKNov 09 2024
R-4.3-mac-aarch64OKNov 09 2024

Exports:basad

Dependencies:RcppRcppEigenrmutil