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transreg: Penalised Regression with Multiple Sets of Prior Effects ('Transfer Learning')
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' from 'GitHub' <https://github.com/kjytay/fwelnet>.
Getting started
Browse package contents
Package details |
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| Author | Armin Rauschenberger [aut, cre] (ORCID: <https://orcid.org/0000-0001-6498-4801>) |
| Maintainer | Armin Rauschenberger <armin.rauschenberger@uni.lu> |
| License | GPL-3 |
| Version | 1.0.4 |
| URL | https://github.com/rauschenberger/transreg https://rauschenberger.github.io/transreg/ |
| Package repository | View on CRAN |
| Installation |
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