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: Linking:Please use the canonical form https://CRAN.R-project.org/package=SynthETIC to link to this page.
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