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: 0.6.3
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: 2020-10-28
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
Materials: NEWS
CRAN checks: insurancerating results

Downloads:

Reference manual: insurancerating.pdf
Package source: insurancerating_0.6.3.tar.gz
Windows binaries: r-devel: insurancerating_0.6.2.zip, r-release: insurancerating_0.6.2.zip, r-oldrel: insurancerating_0.6.3.zip
macOS binaries: r-release: insurancerating_0.6.3.tgz, r-oldrel: insurancerating_0.6.3.tgz
Old sources: insurancerating archive

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