Loss ratio analysis for insurance experience data (Python sibling of the R lossratio package; in development).
Project description
lossratio (Python)
Python sibling of the R lossratio package: loss-ratio analysis and
projection for long-term health insurance from long-format experience
data. Stage-adaptive (SA) projection uses an exposure-driven (ED)
model before the maturity point and chain ladder (Mack, CL) after,
supported by maturity point detection, cohort regime detection, and
a calendar-diagonal backtest framework.
This Python implementation is in development. The package is reserved on PyPI under PEP 541 legitimate future-use provisions.
Current status
pip install lossratioinstalls this placeholder (version0.0.1.dev0).- The package currently only exposes a
__version__attribute. - The working implementation is the R package; the Python version is being built up incrementally.
R package
- Source: https://github.com/seokhoonj/lossratio
- Documentation: https://seokhoonj.github.io/lossratio/
- 한국어 문서: https://seokhoonj.github.io/lossratio/ko/
remotes::install_github("seokhoonj/lossratio")
library(lossratio)
Author
Seokhoon Joo (seokhoonj@gmail.com) — author of both the R and Python implementations.
License
MPL-2.0 (Mozilla Public License 2.0).
Project details
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