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 | 
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