Package: bestridge 1.0.7
bestridge: A Comprehensive R Package for Best Subset Selection
The bestridge package is designed to provide a one-stand service for users to successfully carry out best ridge regression in various complex situations via the primal dual active set algorithm proposed by Wen, C., Zhang, A., Quan, S. and Wang, X. (2020) <doi:10.18637/jss.v094.i04>. This package allows users to perform the regression, classification, count regression and censored regression for (ultra) high dimensional data, and it also supports advanced usages like group variable selection and nuisance variable selection.
Authors:
bestridge_1.0.7.tar.gz
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bestridge_1.0.7.tgz(r-4.4-x86_64)bestridge_1.0.7.tgz(r-4.4-arm64)bestridge_1.0.7.tgz(r-4.3-x86_64)bestridge_1.0.7.tgz(r-4.3-arm64)
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bestridge.pdf |bestridge.html✨
bestridge/json (API)
NEWS
| # Install 'bestridge' in R: |
| install.packages('bestridge', repos = c('https://yufeng031.r-universe.dev', 'https://cloud.r-project.org')) |
- duke - Duke breast cancer data
- patient.data - Lymphoma patients data set
- trim32 - The Bardet-Biedl syndrome Gene expression data
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:bfc33e1aad. Checks:OK: 1 NOTE: 8. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 14 2024 |
| R-4.5-win-x86_64 | NOTE | Sep 14 2024 |
| R-4.5-linux-x86_64 | NOTE | Sep 14 2024 |
| R-4.4-win-x86_64 | NOTE | Sep 14 2024 |
| R-4.4-mac-x86_64 | NOTE | Sep 14 2024 |
| R-4.4-mac-aarch64 | NOTE | Sep 14 2024 |
| R-4.3-win-x86_64 | NOTE | Sep 14 2024 |
| R-4.3-mac-x86_64 | NOTE | Sep 14 2024 |
| R-4.3-mac-aarch64 | NOTE | Sep 14 2024 |
Exports:bsrrgen.datalogLik.bsrrplot.bsrrpredict.bsrrprint.bsrrsummary.bsrr
Dependencies:clicolorspacefarvergluegtablelabelinglatticelifecycleMASSMatrixmunsellpheatmapR6RColorBrewerRcppRcppEigenrlangscalessurvivalviridisLite
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| bestridge: A Comprehensive R Package for Best Subset Selection | bestridge-package bestridge |
| Best subset ridge regression | bsrr |
| Provides estimated coefficients from a fitted "bsrr" object. | coef.bsrr |
| Extract the deviance from a "bsrr.one" object. | deviance.bsrr |
| Duke breast cancer data | duke |
| Generate simulated data | gen.data |
| breast cancer data set | gravier |
| Extract the log-likelihood from a "bsrr.one" object. | logLik.bsrr |
| Lymphoma patients data set | patient.data |
| Produces a coefficient profile plot of the coefficient or loss function paths | plot.bsrr |
| make predictions from a "bsrr" object. | predict.bsrr |
| print method for a "bsrr" object | print.bsrr |
| Factors associated with prostate specific antigen | prostate |
| Risk factors associated with heart disease | SAheart |
| summary method for a "bsrr" object | summary.bsrr |
| The Bardet-Biedl syndrome Gene expression data | trim32 |
