Methods for insurance rating. 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>.
The package also adds functionality showing additional lines for the reference
categories in the levels of the coefficients in the output of a generalized linear regression analysis.
In addition it implements a procedure determining the level of a factor with the largest exposure,
and thereafter changing the base level of the factor to this level.

classInt, evtree, ggplot2, mgcv, stringr

classInt, data.table, evtree, ggplot2, lubridate, mgcv,
stringr

classInt, data.table, dplyr, evtree, ggplot2, lubridate, mgcv,
stringr

c(person("Martin", "Haringa", role = c("aut", "cre"), email = "mtharinga@gmail.com"))
classInt, data.table, dplyr, evtree, ggplot2, lubridate, mgcv,
patchwork, stringr

Methods for insurance rating. 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>.
insurancerating also provides recipes on how to easily perform 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.
classInt, data.table, dplyr, evtree, ggplot2, lubridate,
magrittr, mgcv, patchwork, stringr, tidyr

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.
bayestestR, ciTools, classInt, data.table, dplyr, evtree,
ggplot2, insight, lubridate, magrittr, mgcv, patchwork,
stringr, tidyr