Fused Lasso for High-Dimensional Regression over Groups
Overview
Enables high-dimensional penalized regression across heterogeneous subgroups. Fusion penalties are used to share information about the linear parameters across subgroups. The underlying model is described in detail in Dondelinger and Mukherjee (2017) arXiv:1611.00953.
- Introduced option to scale sum-squared loss per subgroup by the subgroup sample size. This improves performance in situations with unbalanced groups.
- Fixed warning caused by deprecated function in the Matrix package.
From NEWS.md in the release
Install
Health
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Frank Dondelinger <fdondelinger.work@gmail.com>’ The Description field contains in detail in Dondelinger and Mukherjee (2017) <arXiv:1611.00953>. Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.
- NOTE11 OK, 2 NOTENow
- NOTE9 OK, 5 NOTE2026-04-22
- ERROR8 OK, 5 NOTE, 1 ERROR2026-04-18
- NOTE9 OK, 5 NOTE2026-03-10
Documentation
- Help pages
- 5
- Examples that run
- 100%3 run in a plain check
- Exported functions with examples
- 60%
- Documented parameters
- 97%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
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- RR 4.6.0 released · 2026-04-24
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- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- unarchivedReturned to CRAN2018-06-17
- 1.0.1Latest
- archivedRemoved from CRAN2018-05-24check problems were not corrected despite reminders
- RR 3.5.0 released · 2018-04-23
- 1.0.02017-08-18
- RR 3.4.0 released · 2017-04-21
Package metadata
- First published
- 2017-08-18
- Total releases
- 2 / 9 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.2.0
- Download size
- 81 KB
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