Package: transreg
Version: 1.0.6
Title: Penalised Regression with Multiple Sets of Prior Effects
        ('Transfer Learning')
Description: 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.
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
Authors@R: person(given="Armin",family="Rauschenberger",email="armin.rauschenberger@uni.lu",role=c("aut","cre"),comment=c(ORCID="0000-0001-6498-4801"))
License: GPL-3
Encoding: UTF-8
VignetteBuilder: knitr
RoxygenNote: 7.3.3
URL: https://github.com/rauschenberger/transreg,
        https://rauschenberger.github.io/transreg/
BugReports: https://github.com/rauschenberger/transreg/issues
NeedsCompilation: no
Packaged: 2026-04-10 17:32:55 UTC; armin.rauschenberger
Author: Armin Rauschenberger [aut, cre] (ORCID:
    <https://orcid.org/0000-0001-6498-4801>)
Maintainer: Armin Rauschenberger <armin.rauschenberger@uni.lu>
Repository: CRAN
Date/Publication: 2026-04-10 22:00:02 UTC
Built: R 4.6.0; ; 2026-04-25 12:12:40 UTC; unix
