sparsegl
1.1.1Sparse Group Lasso
Overview
Efficient implementation of sparse group lasso with optional bound constraints on the coefficients; see doi:10.18637/jss.v110.i06. It supports the use of a sparse design matrix as well as returning coefficient estimates in a sparse matrix. Furthermore, it correctly calculates the degrees of freedom to allow for information criteria rather than cross-validation with very large data. Finally, the interface to compiled code avoids unnecessary copies and allows for the use of long integers.
Install
Health
- OK2026-08-0413 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 91%
- Documented parameters
- 96%
- Return-value docs
- 100%
- References docs
- 29%
Downloads
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Repository practices
6 development-tooling and community-health practices detected across 5 families in the upstream repository
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Dependencies
Code & Tests
Datasets
People & History
8 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- 1.1.1Latest
- 1.1.02024-06-26 · diff ↗
- RR 4.4.0 released · 2024-04-24
- 1.0.22023-09-25 · diff ↗
- RR 4.3.0 released · 2023-04-21
- 1.0.12023-01-27 · diff ↗
- 1.0.02022-11-29 · diff ↗
- 0.5.02022-09-22 · diff ↗
- 0.4.02022-09-05 · diff ↗
- RR 4.2.0 released · 2022-04-22
- 0.3.02022-03-07
- RR 4.1.0 released · 2021-05-18
Package metadata
- First published
- 2022-03-07
- Total releases
- 8 / 4 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 3.5
- Bundled data
- 200 KB / 1 file
- Download size
- 587 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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