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

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

Downloads:

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-devel-gcc8: seagull_1.0.6.zip, r-release: seagull_1.0.6.zip, r-oldrel: seagull_1.0.6.zip
OS X binaries: r-release: seagull_1.0.6.tgz, r-oldrel: seagull_1.0.5.tgz
Old sources: seagull archive

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