Loss ratio analysis for insurance experience data (Python implementation by the author of the R package; in development).
Project description
lossratio (Python)
Python implementation of lossratio by the same author who wrote
the R package. Both packages share the same methodology — chain
ladder (Mack), exposure-driven (ED), and stage-adaptive (SA)
loss-ratio projection methods, maturity point and convergence point
detection ($k^*$, $k^{**}$), cohort regime change detection, and a
hold-out backtest framework — applied to long-duration insurance
experience data.
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 (working today)
- 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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