CASdatasets: Insurance datasets

A collection of datasets, originally for the book 'Computational Actuarial Science with R' edited by Arthur Charpentier (CAS with R). Now, the package contains a large variety of actuarial datasets.

Version: 1.2-0
Depends: R (>= 3.6.0), xts, survival
Imports: lattice
Suggests: sp, sf; knitr, kableExtra, quarto, rmarkdown; AER, boot, broom, ChainLadder, caret, demography, dplyr, forecast, ggplot2, glmnet, locfit, MASS, mgcv, pscl, rainbow, ranger, RColorBrewer, tidyr, tidyverse, wesanderson
Published: 2024-10-09
Author: Christophe Dutang [aut, cre], [ctb] Christophe Dutang ORCID iD [aut, cre], Arthur Charpentier ORCID iD [aut], Ewen Gallic ORCID iD [ctb], Julien Siharath [ctb].
Maintainer: Christophe Dutang <christophe.dutang at ensimag.fr>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
BugReports: https://github.com/dutangc/CASdatasets/issues
URL: https://dutangc.github.io/CASdatasets/
NeedsCompilation: yes
Citation: To cite CASdatasets in publications use: C. Dutang and A. Charpentier (2024), CASdatasets: Insurance datasets, R package version 1.2-0, DOI 10.57745/P0KHAG.
Materials: NEWS
In views: ActuarialScience

Documentation:

Reference manual: CASdatasets.pdf
Overall vignette: CASdatasets overview
Non-life insurance vignettes: Frequency analysis of a French MTPL dataset
Frequency analysis of an Australian MTPL dataset
Frequency analysis of a Norwegian MTPL dataset
Frequency analysis of a French MTPL dataset
Frequency analysis of a Belgian MTPL dataset
Claims reserving of a French MTPL triangle
Other vignettes: Calibration Metrics for RF and GLM Using French Insurance Data
Reserving exercice on reporting delays in AIDS Data
Mortality Table Analysis: A Study of French Mortality Data

Downloads:

Package source: CASdatasets_1.2-0.tar.gz
Package installation: Please make sure that xts, zoo packages are installed. Use this R repository within R via 
        install.packages("CASdatasets", repos = "https://freakonometrics.github.io/CASdatasets/pub/R/", type="source")
        library(CASdatasets)
        ?CASdatasets

Misc:

Contests, case studies, benchmarks or education usage: