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README.md
In ProfileLadder: Functional Profile Chain Ladder for Claims Reserving
ProfileLadder
Overview
The package provides nonparametric, functional-based methods for claims reserving based on
aggregated chain-ladder data also known as the run-off triangles.
The package implements three estimation/prediction algorithms (PARALLAX, REACT, and MACRAME)
and the permutation bootstrap add-on proposed in Maciak, Mizera, and Pešta (2022).
Installation
The ProfileLadder package can be downloaded from CRAN in installed in R by using
```r
install.packages("MyPackage")
Try the ProfileLadder package in your browser
Any scripts or data that you put into this service are public.
ProfileLadder documentation built on Aug. 8, 2025, 6:10 p.m.
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ProfileLadder
Overview
The package provides nonparametric, functional-based methods for claims reserving based on aggregated chain-ladder data also known as the run-off triangles. The package implements three estimation/prediction algorithms (PARALLAX, REACT, and MACRAME) and the permutation bootstrap add-on proposed in Maciak, Mizera, and Pešta (2022).
Installation
The ProfileLadder package can be downloaded from CRAN in installed in R by using
```r install.packages("MyPackage")
Try the ProfileLadder package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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