Package: ebreg 0.1.3
Yiqi Tang
ebreg: Implementation of the Empirical Bayes Method
Implements a Bayesian-like approach to the high-dimensional sparse linear regression problem based on an empirical or data-dependent prior distribution, which can be used for estimation/inference on the model parameters, variable selection, and prediction of a future response. The method was first presented in Martin, Ryan and Mess, Raymond and Walker, Stephen G (2017) <doi:10.3150/15-BEJ797>. More details focused on the prediction problem are given in Martin, Ryan and Tang, Yiqi (2019) <arxiv:1903.00961>.
Authors:
ebreg_0.1.3.tar.gz
ebreg_0.1.3.tar.gz(r-4.5-noble)ebreg_0.1.3.tar.gz(r-4.4-noble)
ebreg_0.1.3.tgz(r-4.4-emscripten)ebreg_0.1.3.tgz(r-4.3-emscripten)
ebreg.pdf |ebreg.html✨
ebreg/json (API)
| # Install 'ebreg' in R: |
| install.packages('ebreg', repos = c('https://cran.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 3 years agofrom:4de0621ddb. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 12 2024 |
| R-4.5-linux | OK | Nov 12 2024 |
Exports:ebreg
