Proximal gradient descent solver for the operators lasso, group lasso, and sparse-group lasso. The implementation involves backtracking line search and warm starts. Input data needs to be clustered/grouped for the (sparse-)group lasso before calling these algorithms.
| Version: | 1.0.6 |
| Depends: | R (≥ 3.5.0) |
| Imports: | Rcpp (≥ 1.0.3) |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | testthat, knitr, rmarkdown |
| Published: | 2020-03-25 |
| Author: | Jan Klosa [aut, cre], Noah Simon [ths], Dörte Wittenburg [ths] |
| Maintainer: | Jan Klosa <klosa at fbn-dummerstorf.de> |
| BugReports: | https://github.com/jklosa/seagull/issues |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/jklosa/seagull |
| NeedsCompilation: | yes |
| Materials: | README NEWS |
| CRAN checks: | seagull results |
| Reference manual: | seagull.pdf |
| Vignettes: |
Introduction to the seagull package |
| Package source: | seagull_1.0.6.tar.gz |
| Windows binaries: | r-devel: seagull_1.0.6.zip, r-release: seagull_1.0.6.zip, r-oldrel: seagull_1.0.6.zip |
| macOS binaries: | r-release: seagull_1.0.6.tgz, r-oldrel: seagull_1.0.6.tgz |
| Old sources: | seagull archive |
Please use the canonical form https://CRAN.R-project.org/package=seagull to link to this page.