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-4.5)dlbayes_0.1.0.zip(r-4.4)dlbayes_0.1.0.zip(r-4.3)
dlbayes_0.1.0.tgz(r-4.5-any)dlbayes_0.1.0.tgz(r-4.4-any)dlbayes_0.1.0.tgz(r-4.3-any)
dlbayes_0.1.0.tar.gz(r-4.5-noble)dlbayes_0.1.0.tar.gz(r-4.4-noble)
dlbayes_0.1.0.tgz(r-4.4-emscripten)dlbayes_0.1.0.tgz(r-4.3-emscripten)
dlbayes.pdf |dlbayes.html✨
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 6 years agofrom:2f0d39b5ac. Checks:9 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 15 2025 |
| R-4.5-win | OK | Mar 15 2025 |
| R-4.5-mac | OK | Mar 15 2025 |
| R-4.5-linux | OK | Mar 15 2025 |
| R-4.4-win | OK | Mar 15 2025 |
| R-4.4-mac | OK | Mar 15 2025 |
| R-4.4-linux | OK | Mar 15 2025 |
| R-4.3-win | OK | Mar 15 2025 |
| R-4.3-mac | OK | Mar 15 2025 |
Exports:dldlanalysisdlhyperdlpriordlvs
Dependencies:codetoolsexpmforeachGIGrvgglmnetiteratorsLaplacesDemonlatticeMASSMatrixRcppRcppEigenshapesurvival
