The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

To cite sglssnal in publications, please cite both the package and the paper describing the method it implements:

Liu R (2026). sglssnal: Sparse-Group Lasso via Semismooth Newton Augmented Lagrangian. R package version 0.1.0, https://github.com/roobnloo/sglssnal.

Zhang Y, Zhang N, Sun D, Toh K (2020). “An efficient Hessian based algorithm for solving large-scale sparse group Lasso problems.” Mathematical Programming, 179, 223–263. doi:10.1007/s10107-018-1329-6.

Corresponding BibTeX entries: 

  @Manual{,
    title = {sglssnal: Sparse-Group Lasso via Semismooth Newton
      Augmented Lagrangian},
    author = {Robin Liu},
    year = {2026},
    note = {R package version 0.1.0},
    url = {https://github.com/roobnloo/sglssnal},
  }

  @Article{,
    title = {An efficient Hessian based algorithm for solving
      large-scale sparse group Lasso problems},
    author = {Yangjing Zhang and Ning Zhang and Defeng Sun and
      Kim-Chuan Toh},
    journal = {Mathematical Programming},
    year = {2020},
    volume = {179},
    pages = {223--263},
    doi = {10.1007/s10107-018-1329-6},
  }

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.