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seagull  

Lasso, Group Lasso, and Sparse-Group Lasso for Mixed Models
View on CRAN: Click here


Download and install seagull package within the R console
Install from CRAN:
install.packages("seagull")

Install from Github:
library("remotes")
install_github("cran/seagull")

Install by package version:
library("remotes")
install_version("seagull", "1.1.0")



Attach the package and use:
library("seagull")
Maintained by
Jan Klosa
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-01-19
Latest Update:
Description:
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.
How to cite:
Jan Klosa (2020). seagull: Lasso, Group Lasso, and Sparse-Group Lasso for Mixed Models. R package version 1.1.0, https://cran.r-project.org/web/packages/seagull. Accessed 28 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:02), 1.0.3 (2020-01-19 17:20), 1.0.4 (2020-01-27 18:10), 1.0.5 (2020-01-31 18:00), 1.0.6 (2020-03-25 18:40), 1.1.0 (2021-04-20 14:10)
Other packages that cited seagull R package
View seagull citation profile
Other R packages that seagull depends, imports, suggests or enhances
Functions, R codes and Examples using the seagull R package
Some associated functions: genotypes . groups . lambda_max . lasso_variants . phenotypes . seagull . seagull_bisection . seagull_data . 
Some associated R codes: RcppExports.R . genotypes.R . groups.R . phenotypes.R . seagull.R . seagull_data.R . zzz.R .  Full seagull package functions and examples
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