Libra
1.7Linearized Bregman Algorithms for Generalized Linear Models
Overview
Efficient procedures for fitting the regularization path for linear, binomial, multinomial, Ising and Potts models with lasso, group lasso or column lasso(only for multinomial) penalty. The package uses Linearized Bregman Algorithm to solve the regularization path through iterations. Bregman Inverse Scale Space Differential Inclusion solver is also provided for linear model with lasso penalty.
Install
Health
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- NOTE2026-03-100 OK · 14 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 98%
- Return-value docs
- 89%
- References docs
- 50%
Downloads
Dependencies
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Code & Tests
Datasets
People & History
Author records are not tracked yet for this package.
7 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
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- 1.7Latest
- unarchivedReturned to CRAN2022-04-11
- archivedRemoved from CRAN2021-08-17check problems were not corrected in time Conflicts with current gsl (2.7)
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- 1.62018-06-09 · diff ↗
- unarchivedReturned to CRAN2018-06-09
- archivedRemoved from CRAN2018-06-02check problems were not corrected despite reminders
- RR 3.5.0 released · 2018-04-23
- RR 3.4.0 released · 2017-04-21
Package metadata
- First published
- 2015-10-20
- Total releases
- 7 / 11 yrs
- License
- GPL-2 OSI
- Minimum R
- ≥ 3.0
- Bundled data
- 273 KB / 3 files
- Download size
- 297 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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