Package: EBEN 5.2
Anhui Huang
EBEN: Empirical Bayesian Elastic Net
Provides the Empirical Bayesian Elastic Net for handling multicollinearity in generalized linear regression models. As a special case of the 'EBglmnet' package (also available on CRAN), this package encourages a grouping effects to select relevant variables and estimate the corresponding non-zero effects.
Authors:
EBEN_5.2.tar.gz
EBEN_5.2.tar.gz(r-4.5-noble)EBEN_5.2.tar.gz(r-4.4-noble)
EBEN_5.2.tgz(r-4.4-emscripten)EBEN_5.2.tgz(r-4.3-emscripten)
EBEN.pdf |EBEN.html✨
EBEN/json (API)
| # Install 'EBEN' in R: |
| install.packages('EBEN', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- BASIS - An Example Data File for the Gauss Model
- BASISbinomial - An Example Data File for the Binomial Model
- y - Sample Response Data for Gaussian Model
- yBinomial - Sample Variable Data for Binomial Model
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 27 days agofrom:6b80cd6d95. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 28 2024 |
| R-4.5-linux-x86_64 | OK | Oct 28 2024 |
Exports:CVonePairEBelasticNet.BinomialEBelasticNet.BinomialCVEBelasticNet.GaussianEBelasticNet.GaussianCVEBlassoNEG.BinomialEBlassoNEG.BinomialCVEBlassoNEG.GaussianEBlassoNEG.GaussianCVijIndexlambdaMax
Dependencies:
