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) <doi:10.1093/bioinformatics/btaf406>.
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
Repository: https://rauschenberger.r-universe.dev
Date/Publication: 2025-07-18 11:55:32 UTC
RemoteUrl: https://github.com/rauschenberger/sparselink
RemoteRef: HEAD
RemoteSha: e53222f2c946e56fe6660fa723e911f84caee0da
NeedsCompilation: no
Packaged: 2026-10-18 11:38:25 UTC; root
Author: Armin Rauschenberger [aut, cre] (ORCID:
    <https://orcid.org/0000-0001-6498-4801>)
Maintainer: Armin Rauschenberger <armin.rauschenberger@lih.lu>