quadrupen

Fits classical sparse regression models with efficient active set algorithms by solving quadratic problems as described by Grandvalet, Chiquet and Ambroise (2017) doi:10.48550/arXiv.1210.2077. Also provides a few methods for model selection purpose (cross-validation, stability selection).

Last 30 days

This package has been downloaded 665 times in the last 30 days. This could be a paper that people cite without reading. Reaching the medium popularity echelon is no small feat! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 21 times.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Last 365 days

This package has been downloaded 7,436 times in the last 365 days. A solid achievement! Enough downloads to get noticed at department meetings. The day with the most downloads was Feb 20, 2025 with 97 downloads.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.