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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-comp
pip install comprisk
PyPI declares 20 unique dependency rules for this release. Environment markers are shown when supplied by the project.
comprisk publishes 1 wheel and 1 source archive for version 0.7.0. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12.
PyPI lists 5 releases with files. The first dated release is ; 5 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .