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: 0.6.7
Depends: R (≥ 3.3)
Imports: ciTools, classInt, colorspace, data.table, DHARMa, dplyr, evtree, ggplot2, insight, lubridate, magrittr, mgcv, patchwork, scales, stringr, tidyr, tidyselect
Suggests: spelling, knitr, rmarkdown, testthat
Published: 2021-07-28
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
Language: en-US
Materials: NEWS
CRAN checks: insurancerating results

Downloads:

Reference manual: insurancerating.pdf
Package source: insurancerating_0.6.7.tar.gz
Windows binaries: r-devel: insurancerating_0.6.7.zip, r-release: insurancerating_0.6.7.zip, r-oldrel: insurancerating_0.6.7.zip
macOS binaries: r-release (arm64): insurancerating_0.6.7.tgz, r-release (x86_64): insurancerating_0.6.7.tgz, r-oldrel: insurancerating_0.6.7.tgz
Old sources: insurancerating archive

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