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


[Package sparselink version 1.0.0 Index]