univariate_all

data.frame with insurance portfolio

column in <code>df</code> with risk factor

column in <code>df</code> with severity (default is NULL)

severity

column in <code>df</code> with number of claims (default is NULL)

nclaims

column in <code>df</code> with exposure (default is NULL)

exposure

column in <code>df</code> with premium (default is NULL)

premium

Univariate analysis for discrete risk factors in an insurance portfolio. The following summary statistics are calculated:<ul>
<li>frequency (i.e. number of claims / exposure)</li>
<li>average severity (i.e. severity / number of claims)</li>
<li>risk premium (i.e. severity / exposure)</li>
<li>loss ratio (i.e. severity / premium)</li>
<li>average premium (i.e. premium / exposure)</li>
</ul>

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.

univariate_all: Univariate analysis for discrete risk factors (deprecated function; use 'univariate()' instead)

Description

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