superpc

Does prediction in the case of a censored survival outcome, or a regression outcome, using the "supervised principal component" approach. 'Superpc' is especially useful for high-dimensional data when the number of features p dominates the number of samples n (p >> n paradigm), as generated, for instance, by high-throughput technologies.

Last 30 days

This package has been downloaded 6,616 times in the last 30 days. That's a lot of interest! Someone might even write a blog post about it. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 181 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 51,839 times in the last 365 days. An impressive feat! Enough downloads to make even seasoned academics take note. The day with the most downloads was Jan 10, 2025 with 385 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.