Estimates sparse regression models (i.e., with few non-zero coefficients) in high-dimensional multi-task learning and transfer learning settings, as proposed by Rauschenberger et al. (2025) <https://orbilu.uni.lu/handle/10993/63425>.
Version: 1.0.0 Depends: R (≥ 3.0.0) Imports: glmnet, pROC, stats, mvtnorm, spls, xrnet Suggests: knitr, testthat, remotes, glmtrans, rmarkdown Published: 2025-06-03 DOI: 10.32614/CRAN.package.sparselink Author: Armin Rauschenberger [aut, cre] Maintainer: Armin Rauschenberger <armin.rauschenberger at lih.lu> BugReports: https://github.com/rauschenberger/sparselink/issues License: MIT + file LICENSE URL: https://github.com/rauschenberger/sparselink, https://rauschenberger.github.io/sparselink/ NeedsCompilation: no Citation: sparselink citation info Materials: README NEWS CRAN checks: sparselink results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=sparselink to link to this page.
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