multi-state-models

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DiogoRibeiro7 / genSurvPy

Simulate survival data with a known truth: twelve models spanning proportional hazards, accelerated failure time, competing risks, cure fractions, recurrent events and multi-state processes. Docs: https://diogoribeiro7.github.io/genSurvPy/

python statistics simulation biostatistics survival-analysis cox-model competing-risks synthetic-data recurrent-events multi-state-models

Updated Sep 4, 2026
Python

stojl / jact

Star

JAX library for accelerated computation of probability and cashflow calculations in semi-markov multi-state models.

gpu-acceleration actuarial cashflows jax transition-probabilities multi-state-models semi-markov

Updated Aug 25, 2026
Python

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