2 projects
comprisk
Python toolkit for competing risks: forest (RSF) + (penalized) Fine-Gray subdistribution regression + Aalen-Johansen cumulative incidence + Gray's K-sample test + cause-specific Cox. Scales to n=10⁶ in ~1 min, 10–22× faster than randomForestSRC on real EHR data, scikit-learn-compatible.
crforest
DEPRECATED — renamed to 'comprisk' in 0.3.1. Install `pip install comprisk`.
