Package: dlbayes 0.1.0
dlbayes: Use Dirichlet Laplace Prior to Solve Linear Regression Problem and Do Variable Selection
The Dirichlet Laplace shrinkage prior in Bayesian linear regression and variable selection, featuring: utility functions in implementing Dirichlet-Laplace priors such as visualization; scalability in Bayesian linear regression; penalized credible regions for variable selection.
Authors:
dlbayes_0.1.0.tar.gz
dlbayes_0.1.0.zip(r-4.7)dlbayes_0.1.0.zip(r-4.6)dlbayes_0.1.0.zip(r-4.5)
dlbayes_0.1.0.tgz(r-4.6-any)dlbayes_0.1.0.tgz(r-4.5-any)
dlbayes_0.1.0.tar.gz(r-4.7-any)dlbayes_0.1.0.tar.gz(r-4.6-any)
dlbayes_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
dlbayes/json (API)
| # Install 'dlbayes' in R: |
| install.packages('dlbayes', repos = c('https://scarlettshijiazhang.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:2f0d39b5ac. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 105 | ||
| source / vignettes | OK | 157 | ||
| linux-release-x86_64 | OK | 114 | ||
| macos-release-arm64 | OK | 170 | ||
| macos-oldrel-arm64 | OK | 165 | ||
| windows-devel | OK | 107 | ||
| windows-release | OK | 67 | ||
| windows-oldrel | OK | 79 | ||
| wasm-release | OK | 93 |
Exports:dldlanalysisdlhyperdlpriordlvs
Dependencies:codetoolsexpmforeachGIGrvgglmnetiteratorsLaplacesDemonlatticeMASSMatrixRcppRcppEigenshapesurvival
