Penalised Regression with Multiple Sets of Prior Effects ('Transfer Learning') R package transreg version 1.0.7 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. Software 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 Armin Rauschenberger <armin.rauschenberger@uni.lu> Comprehensive R Archive Network (CRAN) Armin Rauschenberger [aut, cre] (ORCID: <https://orcid.org/0000-0001-6498-4801>) GPL-3 2026-06-03 application/tgz https://CRAN.R-project.org/package=transreg doi:10.32614/CRAN.package.transreg