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: | 0.6.2 |
| Depends: | R (≥ 3.3) |
| Imports: | ciTools, classInt, data.table, DHARMa, dplyr, evtree, ggplot2, insight, lubridate, magrittr, mgcv, patchwork, stringr, tidyr |
| Suggests: | knitr, rmarkdown, scales, testthat |
| Published: | 2020-06-08 |
| Author: | Martin Haringa [aut, cre] |
| Maintainer: | Martin Haringa <mtharinga at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/mharinga/insurancerating, https://mharinga.github.io/insurancerating/ |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | insurancerating results |
| Reference manual: | insurancerating.pdf |
| Package source: | insurancerating_0.6.2.tar.gz |
| Windows binaries: | r-devel: insurancerating_0.6.2.zip, r-release: insurancerating_0.6.2.zip, r-oldrel: insurancerating_0.6.2.zip |
| macOS binaries: | r-release: insurancerating_0.6.2.tgz, r-oldrel: insurancerating_0.6.2.tgz |
| Old sources: | insurancerating archive |
Please use the canonical form https://CRAN.R-project.org/package=insurancerating to link to this page.