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Author:
Michael Bryant
Summary:
Experience reporting and analysis on tidy tables: experience summaries and views, actual-versus-expected, claimant and cohort studies, driver and frequency-severity decomposition, rolling monitors, banded summaries. Study functions over the canonical actuarialpy.Experience.
Latest version:
0.5.2
Required dependencies:
actuarialpy
|
numpy
|
pandas
Optional dependencies:
build
|
hypothesis
|
openpyxl
|
pytest
|
twine
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