model_data

<a href="https://lifecycle.r-lib.org/articles/stages.html#experimental"><img src="figures/lifecycle-experimental.svg?package=insurancerating&version=0.7.5" alt="[Experimental]"></a> <code>model_data()</code>
is used to get data from glm, and must be preceded by <code>update_glm()</code> or
<code><a href="/link/glm()?package=insurancerating&version=0.7.5" data-mini-rdoc="insurancerating::glm()">glm()</a></code>.

Functions to build, evaluate, and visualize insurance rating
models. It simplifies the process of modeling premiums, and allows to
analyze insurance risk factors effectively. The package employs a
data-driven strategy for constructing insurance tariff classes, drawing on
the work of Antonio and Valdez (2012) <doi:10.1007/s10182-011-0152-7>.

Martin Haringa

insurancerating

Analytic Insurance Rating Techniques

model_data function

<dl><dt>x</dt>
<dd>Object of class refitsmooth, refitrestricted or glm</dd></dl>

Arguments

Author

<a href='https://lifecycle.r-lib.org/articles/stages.html#experimental'><img src='figures/lifecycle-experimental.svg' alt='[Experimental]' /></a> <code>model_data()</code>
is used to get data from glm, and must be preceded by <code>update_glm()</code> or
<code><a href='https://rdrr.io/r/stats/glm.html'>glm()</a></code>.

Get model data — model_data

<dl>

<dt>x</dt>
<dd>Object of class refitsmooth, refitrestricted or glm</dd>

</dl>

model_data: Get model data

Description

Usage

Value

Arguments

Author