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comprisk

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software/comprisk

Scalable, scikit-learn-compatible competing-risks survival analysis in pure Python — CR random survival forest, Fine-Gray, cause-specific Cox, Aalen-Johansen CIF, Gray's test, and exact TreeSHAP.…

Machine-generated from the listed sources and not yet reviewed by a human.

comprisk project image
GitHub preview card for sunnyadn/comprisk. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
Apache-2.0(osi)
Status
active
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
sunnyadn.github.io/comprisk/
Repository
github.com/sunnyadn/comprisk
Documentation
unknown
Tags
biostatistics · competing-risks · machine-learning · numba · python · random-forest · random-survival-forest · scikit-learn · survival-analysis
Regulatory
unknown
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sources
  1. api.github.com/repos/sunnyadn/comprisk
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2026-08-25, 8 stars, license reported as Apache-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.

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machine-readable

/v1/entries/49.json→ .entries["comprisk"]

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