Package: gglasso
Title: Group Lasso Penalized Learning Using a Unified BMD Algorithm
Version: 1.4
Date: 2017-9-12
Author: Yi Yang <yi.yang6@mcgill.ca>, Hui Zou <hzou@stat.umn.edu>
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/")
  )
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: <doi:10.1007/s11222-014-9498-5>.
License: GPL-2
Imports: methods
URL: https://github.com/emeryyi/gglasso
BugReports: https://github.com/emeryyi/gglasso/issues
Packaged: 2026-07-04 07:14:53 UTC; root
RoxygenNote: 7.0.2
Suggests: testthat, knitr, rmarkdown
Encoding: UTF-8
LazyData: TRUE
VignetteBuilder: knitr
Repository: https://archer-yang-lab.r-universe.dev
Date/Publication: 2020-02-17 18:56:58 UTC
RemoteUrl: https://github.com/archer-yang-lab/gglasso
RemoteRef: HEAD
RemoteSha: 7d98ba6ffb1dd4aa6a72c0eb9bd002f79530609a
NeedsCompilation: yes
Maintainer: Yi Yang <yi.yang6@mcgill.ca>