SynthETIC: Synthetic Experience Tracking Insurance Claims
Creation of an individual claims simulator which generates various
features of non-life insurance claims. An initial set of test parameters,
designed to mirror the experience of an Auto Liability portfolio, were set
up and applied by default to generate a realistic test data set of
individual claims (see vignette). The simulated data set then allows
practitioners to back-test the validity of various reserving models and to
prove and/or disprove certain actuarial assumptions made in claims
modelling. The distributional assumptions used to generate this data set can
be easily modified by users to match their experiences. Reference: Avanzi B,
Taylor G, Wang M, Wong B (2020) "SynthETIC: an individual insurance claim
simulator with feature control" <doi:10.48550/arXiv.2008.05693>.
Version: |
1.1.0 |
Depends: |
R (≥ 2.10) |
Imports: |
stats, ggplot2, magrittr, rlang, methods, dplyr |
Suggests: |
knitr, rmarkdown, RColorBrewer, actuar |
Published: |
2024-01-27 |
DOI: |
10.32614/CRAN.package.SynthETIC |
Author: |
Benjamin Avanzi [aut],
William Ho [aut],
Greg Taylor [aut],
Melantha Wang [aut, cre],
Bernard Wong [aut] |
Maintainer: |
Melantha Wang <wang.melantha at gmail.com> |
BugReports: |
https://github.com/agi-lab/SynthETIC/issues |
License: |
GPL-3 |
URL: |
https://github.com/agi-lab/SynthETIC |
NeedsCompilation: |
no |
Citation: |
SynthETIC citation info |
Materials: |
NEWS |
In views: |
ActuarialScience |
CRAN checks: |
SynthETIC results |
Documentation:
Downloads:
Reverse dependencies:
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