transreg
1.0.7Penalised Regression with Multiple Sets of Prior Effects ('Transfer Learning')
Overview
Improves the predictive performance of ridge and lasso regression exploiting one or more sources of prior information on the importance and direction of effects (Rauschenberger and others 2023, doi:10.1093/bioinformatics/btad680). For running the vignette (optional), install 'fwelnet' and 'ecpc' from https://github.com/kjytay/fwelnet and https://github.com/Mirrelijn/ecpc, respectively.
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
- OK2026-06-0413 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-03-104 OK · 2 NOTE · 0 WARNING · 8 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 50%
Downloads
Repository
Repository practices
2 development-tooling and community-health practices detected across 1 family in the upstream repository
Checks run against github.com/rauschenberger/transreg on 2026-08-09.
Dependencies
Nothing depends on this yet.
Code & Tests
People & History
8 releases. Pick two to compare their code metrics. R releases are shown for context.
Package metadata
- First published
- 2023-10-01
- Total releases
- 8 / 3 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.0.0
- Download size
- 75 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("transreg")This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-08-15, which the citation names so these numbers can be found later. More on citing and the projects behind them.