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Author:
Michael Bryant
Summary:
Rating and pricing models: manual and experience rate build-up, credibility blending, rate indications and decomposition, GLM relativities and evaluation, and pricing scenarios.
Latest version:
0.9.2
Required dependencies:
actuarialpy
|
numpy
|
pandas
|
statsmodels
Optional dependencies:
experiencestudies
|
pytest
|
pytest-cov
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