seagull: Lasso, Group Lasso, and Sparse-Group Lasso for Mixed Models

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>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
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:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): seagull_1.1.0.tgz, r-release (x86_64): seagull_1.1.0.tgz, r-oldrel: seagull_1.1.0.tgz
Old sources: seagull archive


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