Package: gglasso
Title: Group Lasso Penalized Learning Using a Unified BMD Algorithm
Version: 1.6
Date: 2025-04-29
Authors@R: c(
  person("Yi", "Yang", email = "yi.yang6@mcgill.ca",
  role = c("aut", "cre"), comment = "http://www.math.mcgill.ca/yyang/"),
  person("Hui", "Zou", email = "hzou@stat.umn.edu",
  role = c("aut"), comment = "http://users.stat.umn.edu/~zouxx019/"),
  person("Sahir", "Bhatnagar", email = "sahir.bhatnagar@gmail.com",
  role = c("aut"), comment = "http://sahirbhatnagar.com/")
  )
Maintainer: Yi Yang <yi.yang6@mcgill.ca>
Description: A unified algorithm, blockwise-majorization-descent (BMD),
        for efficiently computing the solution paths of the group-lasso
        penalized least squares, logistic regression, Huberized SVM and
        squared SVM. The package is an implementation of Yang, Y. and
        Zou, H. (2015) <doi:10.1007/s11222-014-9498-5>.
License: GPL-2
Imports: methods
URL: https://github.com/archer-yang-lab/gglasso
BugReports: https://github.com/archer-yang-lab/gglasso/issues
Packaged: 2026-10-28 09:21:51 UTC; root
RoxygenNote: 7.0.2
Suggests: testthat, knitr, rmarkdown
Encoding: UTF-8
LazyData: TRUE
NeedsCompilation: yes
Author: Yi Yang [aut, cre] (http://www.math.mcgill.ca/yyang/), Hui Zou
        [aut] (http://users.stat.umn.edu/~zouxx019/), Sahir Bhatnagar
        [aut] (http://sahirbhatnagar.com/)
Repository: https://cran.r-universe.dev
Date/Publication: 2025-05-08 04:00:01 UTC
RemoteUrl: https://github.com/cran/gglasso
RemoteRef: HEAD
RemoteSha: 7308913f70a8eb6de02b1ecc41e974c1f3a428f8