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Joint Longitudinal-Survival Models for insurance pricing. Shared Random Effects Model linking telematics trajectories to claim hazard.
pip install insurance-jlm
PyPI declares 8 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=0.28>=3.7>=1.24>=2.0>=1.10>=0.14insurance-jlm publishes 1 wheel and 1 source archive for version 0.1.1. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12.
PyPI lists 1 release with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on .