Proximal gradient descent solver for the operators lasso, (fitted) group lasso, and (fitted) sparse-group lasso. The implementation involves backtracking line search and warm starts. Input data needs to be clustered/ grouped for each group lasso variant before calling these algorithms.
| Version: | 1.1.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | Rcpp (≥ 1.0.3), matrixStats |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | testthat, knitr, rmarkdown |
| Published: | 2021-04-20 |
| 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_1.1.0.tar.gz |
| Windows binaries: | r-devel: seagull_1.1.0.zip, r-release: seagull_1.1.0.zip, r-oldrel: seagull_1.1.0.zip |
| macOS binaries: | r-release (arm64): seagull_1.1.0.tgz, r-oldrel (arm64): seagull_1.1.0.tgz, r-release (x86_64): seagull_1.1.0.tgz, r-oldrel (x86_64): seagull_1.1.0.tgz |
| Old sources: | seagull archive |
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