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README.Rmd
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---
output:
md_document:
variant: gfm
---
<!-- README.md is generated from README.Rmd. Please edit that file -->
```{r, echo = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "README-"
)
```
# ReIns
[![CRAN_Status_Badge](https://www.r-pkg.org/badges/version/ReIns)](https://cran.r-project.org/package=ReIns)
The *ReIns* package contains functions from the book "Reinsurance: Actuarial and Statistical Aspects" (Wiley, 2017) by Hansjörg Albrecher, Jan Beirlant and Jef Teugels.
It contains implementations of
* Basic extreme value theory (EVT) estimators and graphical methods as described in "Statistics of Extremes: Theory and Applications" (2004) of Jan Beirlant, Yuri Goegebeur, Johan Segers and Jef Teugels.
* EVT estimators and graphical methods adapted for censored and/or truncated data.
* Splicing of mixed Erlang (ME) distribution with EVT distributions (Pareto, GPD).
* Value-at-Risk (VaR), Conditional Tail Expectation (CTE) and excess-loss premium estimates.
You can install the latest development version of *ReIns* from GitHub. If you work on Windows, make sure first that [Rtools](https://cran.r-project.org/bin/windows/Rtools/) is installed. Then, install the latest development version of *ReIns* using
```
install.packages("remotes")
remotes::install_github("TReynkens/ReIns")
```