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.

ADSIHT

ADSIHT aims to solve the high-dimensional double sparse linear regression problem, that is, a combination of element-wise and group-wise sparsity. In our paper, we show that our algorithm achieves the minimax optimality with fast linear convergence.

Installation

Installation of the ADSIHT package can be done directly from GitHub:

install.packages("remotes")
remotes::install_github("ADSIHT/ADSIHT")

References

Zhang Yanhang, Zhifan Li, and Jianxin Yin. “A minimax optimal approach to high-dimensional double sparse linear regression.” arXiv preprint arXiv:2305.04182 (2023).

Contact

Please direct questions and comments to the issues page.

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.