Assists actuaries and other insurance modellers in pricing, reserving and capital modelling for non-life insurance and reinsurance modelling. Provides functions that help model excess levels, capping and pure Incurred but not reported claims (pure IBNR). Includes capped mean, exposure curves and increased limit factor curves (ILFs) for LogNormal, Gamma, Pareto, Sliced LogNormal-Pareto and Sliced Gamma-Pareto distributions. Includes mean, probability density function (pdf), cumulative probability function (cdf) and inverse cumulative probability function for Sliced LogNormal-Pareto and Sliced Gamma-Pareto distributions. Includes calculating pure IBNR exposure with LogNormal and Gamma distribution for reporting delay. Includes three shiny tools, one to simulate insurance claims applying reinsurance structures, fit generalised linear models and fit claims frequency or severity distributions. Methods used in the package refer to Free for All by Yiannis Parizas (2023) <https://www.theactuary.com/2023/03/02/free-all>; Escaping the triangle by Yiannis Parizas (2019) <https://www.theactuary.com/features/2019/06/2019/06/05/escaping-triangle>; Take to excess by Yiannis Parizas (2019) <https://www.theactuary.com/features/2019/03/2019/03/06/taken-excess>.
Version: 0.1.5 Imports: rmarkdown, shiny, shinybusy, future.apply, scales, future, methods, DBI, RMySQL, RODBC, RPostgreSQL, RSQLite, plotly, shinyjs, MASS, fitdistrplus, shinyWidgets, Pareto Suggests: knitr, crch, testthat Published: 2023-12-02 DOI: 10.32614/CRAN.package.NetSimR Author: Yiannis Parizas [aut, cre] Maintainer: Yiannis Parizas <yiannis.parizas at gmail.com> License: GPL-3 NeedsCompilation: no Materials: README NEWS In views: ActuarialScience CRAN checks: NetSimR results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=NetSimR to link to this page.
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