Group Subset Selection
Overview
Provides tools for sparse regression modelling with grouped predictors using the group subset selection penalty. Uses coordinate descent and local search algorithms to rapidly deliver near optimal estimates. The group subset penalty can be combined with a group lasso or ridge penalty for added shrinkage. Linear and logistic regression are supported, as are overlapping groups.
- Updated author information
- Updated citation information
- Fixed warning from ggplot2
From NEWS.md in the release
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-04-22
- ERROR13 OK, 1 ERROR2026-04-18
- OK14 OK2026-03-10
Documentation
- Help pages
- 8
- Examples that run
- 100%2 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 93%
- Return-value docs
- 100%
- Help pages citing references
- 13%
- Guide to grpsel HTML
Downloads
Repository
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6 development-tooling and community-health practices detected across 5 families in the upstream repository
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Dependencies
Code & Tests
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- 1.3.2Latest
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 1.3.12022-09-07 · diff ↗
- 1.3.02022-06-18 · diff ↗
- RR 4.2.0 released · 2022-04-22
- 1.2.02022-01-10 · diff ↗
- 1.1.12021-07-13 · diff ↗
- 1.1.02021-06-29 · diff ↗
- RR 4.1.0 released · 2021-05-18
- 1.0.02021-04-21
- RR 4.0.0 released · 2020-04-24
Package metadata
- First published
- 2021-04-21
- Total releases
- 7 / 5 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 4.1.0
- Download size
- 110 KB
Cite
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