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 | 
| 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 | 
| Reference manual: | sparselink.html , sparselink.pdf | 
| Vignettes: | Analysis code (source, R code) Sparse regression for related problems (source) | 
| Package source: | sparselink_1.0.0.tar.gz | 
| Windows binaries: | r-devel: sparselink_1.0.0.zip, r-release: sparselink_1.0.0.zip, r-oldrel: sparselink_1.0.0.zip | 
| macOS binaries: | r-release (arm64): sparselink_1.0.0.tgz, r-oldrel (arm64): sparselink_1.0.0.tgz, r-release (x86_64): sparselink_1.0.0.tgz, r-oldrel (x86_64): sparselink_1.0.0.tgz | 
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