Package: sparselink
Version: 1.0.0
Title: Sparse Regression for Related Problems
Description: 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>.
Depends: R (>= 3.0.0)
Imports: glmnet, pROC, stats, mvtnorm, spls, xrnet
Suggests: knitr, testthat, remotes, glmtrans, rmarkdown
Authors@R: person(given="Armin",family="Rauschenberger",email="armin.rauschenberger@lih.lu",role=c("aut","cre"),comment=c(ORCID="0000-0001-6498-4801"))
Encoding: UTF-8
VignetteBuilder: knitr
RoxygenNote: 7.3.2
URL: https://github.com/rauschenberger/sparselink,
        https://rauschenberger.github.io/sparselink/
BugReports: https://github.com/rauschenberger/sparselink/issues
License: MIT + file LICENSE
NeedsCompilation: no
Packaged: 2025-05-30 08:47:19 UTC; arauschenberger
Author: Armin Rauschenberger [aut, cre] (ORCID:
    <https://orcid.org/0000-0001-6498-4801>)
Maintainer: Armin Rauschenberger <armin.rauschenberger@lih.lu>
Repository: CRAN
Date/Publication: 2025-06-03 09:30:05 UTC
Built: R 4.6.0; ; 2026-04-26 10:29:09 UTC; unix
