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 521 times in the last 30 days. Not bad! The download count is somewhere between 'small-town buzz' and 'moderate academic conference'. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 5 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 7,540 times in the last 365 days. Impressive! The kind of number that makes colleagues ask, 'How did you do it?' 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.