update_glm

<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>update_glm()</code> is used to refit generalized linear models, and must be
preceded by <code>restrict_coef()</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

update_glm function

<dl><dt>x</dt>
<dd>Object of class restricted or of class smooth</dd>
<dt>intercept_only</dt>
<dd>Logical. Default is <code>FALSE</code>. If <code>TRUE</code>, only
the intercept is updated, ensuring that the changes have no impact on the
other variables.</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>update_glm()</code> is used to refit generalized linear models, and must be
preceded by <code>restrict_coef()</code>.

Refitting Generalized Linear Models — update_glm

<dl>

<dt>x</dt>
<dd>Object of class restricted or of class smooth</dd>


<dt>intercept_only</dt>
<dd>Logical. Default is <code>FALSE</code>. If <code>TRUE</code>, only
the intercept is updated, ensuring that the changes have no impact on the
other variables.</dd>

</dl>

update_glm: Refitting Generalized Linear Models

Description

Usage

Value

Arguments

Author