bst

Functional gradient descent algorithm for a variety of convex and non-convex loss functions, for both classical and robust regression and classification problems. See Wang (2011) doi:10.2202/1557-4679.1304, Wang (2012) doi:10.3414/ME11-02-0020, Wang (2018) doi:10.1080/10618600.2018.1424635, Wang (2018) doi:10.1214/18-EJS1404.

Last 30 days

This package has been downloaded 1,268 times in the last 30 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 60 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 17,002 times in the last 365 days. The downloads are officially high enough to crash an underfunded departmental server. Quite an accomplishment! The day with the most downloads was May 08, 2024 with 124 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.