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: | 1.0.3 |
Depends: | R (≥ 3.5.0) |
Imports: | Rcpp (≥ 1.0.3) |
LinkingTo: | Rcpp, RcppArmadillo |
Suggests: | testthat, knitr, rmarkdown |
Published: | 2020-01-19 |
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_1.0.3.tar.gz |
Windows binaries: | r-devel: not available, r-devel-gcc8: seagull_1.0.3.zip, r-release: not available, r-oldrel: not available |
OS X binaries: | r-release: not available, r-oldrel: not available |
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