sparselink-package {sparselink} | R Documentation |
Sparse regression for related problems
Description
The R package 'sparselink' implements sparse regression for related problems (multi-task learning and transfer learning).
Details
Use function [sparselink()] for model fitting. Type 'library(sparselink)' and then '?sparselink' or 'help("sparselink")' to open its help file.
See the vignette for further examples. Type 'vignette("sparselink")' or 'browseVignettes("sparselink")' to open the vignette.
Author(s)
Maintainer: Armin Rauschenberger armin.rauschenberger@lih.lu (ORCID)
References
Armin Rauschenberger, Petr N. Nazarov, and Enrico Glaab (2025). "Estimating sparse regression models in multi-task learning and transfer learning through adaptive penalisation". Under revision. https://hdl.handle.net/10993/63425
See Also
First use sparselink
to fit the models,
and then coef
to extract coefficients
or predict
to make predictions.
Examples
?sparselink
?coef.sparselink
?predict.sparselink