drrglm
0.3.2Doubly Regularized Matrix-Variate Regression
Overview
The doubly regularized matrix-variate regression solves a low-rank-plus-sparse structure for matrix-variate generalized linear models through a weighted combination of nuclear-norm and L1-norm. The methodology implemented by this package is described in the paper "Doubly Regularized Matrix-Variate Regression", which has been tentatively accepted for publication but does not yet have a DOI or URL. A formal citation will be added in a future update once the final publication details are available.
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Health
- OK2026-04-2511 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-04-215 OK · 1 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 94%
- Return-value docs
- 100%
- References docs
- 22%
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Checks run against github.com/paradoxical-rhapsody/drrglm on 2026-07-30.
Dependencies
Nothing depends on this yet.
Code & Tests
People & History
1 release. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 0.3.2Latest2026-04-20 · current release
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2026-04-20
- Total releases
- 1 / 1 yrs
- License
- AGPL-3 OSI
- Minimum R
- ≥ 4.3.0
- Bundled data
- 8.4 MB / 1 file
- Download size
- not tracked yet
- Installed size
- not tracked yet
- With dependencies
- not tracked yet