insurancerating: Analytic Insurance Rating Techniques
Methods for insurance rating. It helps actuaries to implement GLMs within all relevant steps needed to construct
a risk premium from raw data. It provides a data driven strategy for the construction of insurance tariff classes.
This strategy is based on the work by Antonio and Valdez (2012) <doi:10.1007/s10182-011-0152-7>. It also provides recipes
on how to easily perform one-way, or univariate, analyses on an insurance portfolio. In addition it adds functionality
to include reference categories in the levels of the coefficients in the output of a generalized linear regression analysis.
Version: |
0.7.4 |
Depends: |
R (≥ 3.3) |
Imports: |
ciTools, classInt, colorspace, data.table, DHARMa, dplyr, evtree, fitdistrplus, ggplot2, insight, lubridate, mgcv, patchwork, scales, stringr |
Suggests: |
spelling, knitr, rmarkdown, testthat |
Published: |
2024-05-20 |
DOI: |
10.32614/CRAN.package.insurancerating |
Author: |
Martin Haringa [aut, cre] |
Maintainer: |
Martin Haringa <mtharinga at gmail.com> |
BugReports: |
https://github.com/mharinga/insurancerating/issues |
License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: |
https://github.com/mharinga/insurancerating,
https://mharinga.github.io/insurancerating/ |
NeedsCompilation: |
no |
Language: |
en-US |
Materials: |
NEWS |
In views: |
ActuarialScience |
CRAN checks: |
insurancerating results |
Documentation:
Downloads:
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