obliqueRSF

Oblique random survival forests incorporate linear combinations of input variables into random survival forests (Ishwaran, 2008 doi:10.1214/08-AOAS169). Regularized Cox proportional hazard models (Simon, 2016 doi:10.18637/jss.v039.i05) are used to identify optimal linear combinations of input variables.

Last 30 days

This package has been downloaded 219 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 7 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 3,893 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Aug 13, 2024 with 92 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.