construct_model_points

<code>construct_model_points()</code> is deprecated in favour of <code>rating_grid()</code>.

internal

Provides actuarial tools and building blocks for analysing,
modelling, refining, and validating insurance rating models. Designed to
support common GLM-based pricing tasks and the translation of statistical
model output into practical tariff structures. The package supports the
construction of insurance tariff classes using a data-driven approach, based
on the methodology of Antonio and Valdez
(2012) <doi:10.1007/s10182-011-0152-7>.

Martin Haringa

insurancerating

Actuarial Tools for Insurance Pricing Models

construct_model_points function

<dl><dt>x</dt>
<dd>A <code>data.frame</code>, an object of class <code>"model_data"</code> returned by
<code>extract_model_data()</code>, or a fitted model that can be passed to
<code>extract_model_data()</code>.</dd>
<dt>group_by</dt>
<dd>Optional character vector with the variables that define the
rating-grid points. If <code>NULL</code> and <code>x</code> is a <code>"model_data"</code> object, the
risk-factor variables stored in the object are used. If <code>NULL</code> and <code>x</code> is a
plain <code>data.frame</code>, all columns except those listed in <code>exposure</code>,
<code>exposure_by</code>, and <code>aggregate_cols</code> are used.</dd>
<dt>exposure</dt>
<dd>Optional character; name of the exposure column to aggregate.</dd>
<dt>exposure_by</dt>
<dd>Optional character; name of a column used to split
exposure or counts, for example a year variable.</dd>
<dt>aggregate_cols</dt>
<dd>Optional character vector with additional numeric
columns to aggregate using <code>sum(na.rm = TRUE)</code>.</dd>
<dt>drop_na</dt>
<dd>Logical; if <code>TRUE</code>, rows with missing values in <code>group_by</code>
are removed before aggregation. If <code>FALSE</code>, missing values define an
explicit observed group and are retained. Default is <code>FALSE</code>.</dd>
<dt>group_vars, agg_cols</dt>
<dd>Deprecated argument names. Use <code>group_by</code> and
<code>aggregate_cols</code> instead.</dd></dl>

Arguments

Deprecated alias for rating_grid() — construct_model_points

<dl>

<dt>x</dt>
<dd>A <code>data.frame</code>, an object of class <code>"model_data"</code> returned by
<code>extract_model_data()</code>, or a fitted model that can be passed to
<code>extract_model_data()</code>.</dd>


<dt>group_by</dt>
<dd>Optional character vector with the variables that define the
rating-grid points. If <code>NULL</code> and <code>x</code> is a <code>"model_data"</code> object, the
risk-factor variables stored in the object are used. If <code>NULL</code> and <code>x</code> is a
plain <code>data.frame</code>, all columns except those listed in <code>exposure</code>,
<code>exposure_by</code>, and <code>aggregate_cols</code> are used.</dd>


<dt>exposure</dt>
<dd>Optional character; name of the exposure column to aggregate.</dd>


<dt>exposure_by</dt>
<dd>Optional character; name of a column used to split
exposure or counts, for example a year variable.</dd>


<dt>aggregate_cols</dt>
<dd>Optional character vector with additional numeric
columns to aggregate using <code>sum(na.rm = TRUE)</code>.</dd>


<dt>drop_na</dt>
<dd>Logical; if <code>TRUE</code>, rows with missing values in <code>group_by</code>
are removed before aggregation. If <code>FALSE</code>, missing values define an
explicit observed group and are retained. Default is <code>FALSE</code>.</dd>


<dt>group_vars, agg_cols</dt>
<dd>Deprecated argument names. Use <code>group_by</code> and
<code>aggregate_cols</code> instead.</dd>

</dl>

construct_model_points: Deprecated alias for `rating_grid()`

Description

Usage

Value

Arguments