doi:10.1093/bioinformatics/btad680>). For running the vignette (optional), install 'fwelnet' from 'GitHub' <https://github.com/kjytay/fwelnet>.">

transreg: Penalised Regression with Multiple Sets of Prior Effects ('Transfer Learning') (original) (raw)

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>.

Version: 1.0.3
Depends: R (≥ 3.0.0)
Imports: glmnet, starnet, joinet
Suggests: knitr, testthat, rmarkdown, markdown, mvtnorm, remotes, glmtrans, xrnet, ecpc, fwelnet, doMC, palasso, xtable, devtools, CVXR
Published: 2024-09-27
DOI: 10.32614/CRAN.package.transreg
Author: Armin RauschenbergerORCID iD [aut, cre]
Maintainer: Armin Rauschenberger <armin.rauschenberger at uni.lu>
BugReports: https://github.com/rauschenberger/transreg/issues
License: GPL-3
URL: https://github.com/rauschenberger/transreg,https://rauschenberger.github.io/transreg/
NeedsCompilation: no
Citation: transreg citation info
Materials: README NEWS
CRAN checks: transreg results

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