plot.WH_2d

An enhanced implementation of Whittaker-Henderson smoothing for the graduation
of one-dimensional and two-dimensional actuarial tables used to quantify Life Insurance risks.
'WH' is based on the methods described in Biessy (2025) <doi:10.48550/arXiv.2306.06932>.
Among other features, it generalizes the original smoothing algorithm to maximum likelihood estimation,
automatically selects the smoothing parameter(s) and extrapolates beyond the range of data.

Guillaume Biessy

Enhanced Implementation of Whittaker-Henderson Smoothing

plot.WH_2d function

<dl><dt>x</dt>
<dd>An object of class <code>"WH_2d"</code> returned by the <code>WH()</code> function</dd>
<dt>what</dt>
<dd>What should be plotted (y_hat, std_y_hat, res, edf)</dd>
<dt>trans</dt>
<dd>An (optional) transformation to be applied to the data</dd>
<dt>...</dt>
<dd>Not used</dd></dl>

Arguments

Plot 2D WH fit — plot.WH_2d

<dl>

<dt>x</dt>
<dd>An object of class <code>"WH_2d"</code> returned by the <code>WH()</code> function</dd>


<dt>what</dt>
<dd>What should be plotted (y_hat, std_y_hat, res, edf)</dd>


<dt>trans</dt>
<dd>An (optional) transformation to be applied to the data</dd>


<dt>...</dt>
<dd>Not used</dd>

</dl>

plot.WH_2d: Plot 2D WH fit

Description

Usage

Value

Arguments

Examples