Utilities for the Pareto, piecewise Pareto and generalized Pareto distribution
that are useful for reinsurance pricing. In particular, the package provides
a non-trivial algorithm that can be used to match the expected losses of a
tower of reinsurance layers with a layer-independent collective risk model.
The theoretical background of the matching algorithm and most other methods
are described in Ulrich Riegel (2018)
Pareto is an R package providing methods and tools for the Pareto, the piecewise Pareto and the generalized Pareto distribution which are useful for pricing of reinsurance treaties:
Moreover, the package provides some functions for collective models with a claim count distribution from the Panjer class (i.e. Binomial, Poisson and Negative Binomial) and a piecewise Pareto distributed severity:
All methods are also available for truncated versions of the (piecewise) Pareto distribution.
To install the current development version from github you need the devtools package and the other packages on which Pareto depends and links to:
install.packages(c("knitr", "rmarkdown"))
To install Pareto run:
library(devtools)
install_github("ulrichriegel/Pareto", build_vignettes = TRUE)
library(Pareto)
This package is free and open source software, licensed under GPL.
To Stefan Foerster for his NPAddins which I used a lot in my daily work and which inspired me to create this package.