A Comprehensive R Package for Best Subset Selection
Overview
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.
- plot.bsrr debug
From NEWS.md in the release
Install
Health
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Documentation
- Help pages
- 16includes a package overview page
- Examples that run
- 100%9 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 67%
- Return-value docs
- 100%
- Help pages citing references
- 44%
Downloads
Dependencies
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- archivedRemoved from CRAN2025-12-25issues were not addressed in time
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- 1.0.72021-10-10 · diff ↗
- 1.0.62021-09-02 · diff ↗
- RR 4.1.0 released · 2021-05-18
- 1.0.52021-04-04 · diff ↗
- 1.0.4
- 1.0.12021-02-16
- RR 4.0.0 released · 2020-04-24
Package metadata
- First published
- 2021-02-16
- Total releases
- 5 / 5 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 2.4 MB / 4 files
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