plot.WH_2d

Plot Method for a Whittaker-Henderson Fit

An enhanced implementation of Whittaker-Henderson smoothing for the gradation
of one-dimensional and two-dimensional actuarial tables used to quantify Life Insurance risks.
'WH' is based on the methods described in Biessy (2023) <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_2d()</code> function</dd>
<dt>what</dt>
<dd>Should be one of <code>y_hat</code> (the default) for model fit, <code>std_y_hat</code>
for the associated standard deviation, <code>res</code> for residuals and <code>edf</code> for
the effective degrees of freedom.</dd>
<dt>trans</dt>
<dd>An (optional) transformation to be applied to the data. By
default the identity function</dd>
<dt>...</dt>
<dd>Not used</dd></dl>

Arguments

Plot Method for a Whittaker-Henderson Fit — plot.WH_2d

<dl>

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


<dt>what</dt>
<dd>Should be one of <code>y_hat</code> (the default) for model fit, <code>std_y_hat</code>
for the associated standard deviation, <code>res</code> for residuals and <code>edf</code> for
the effective degrees of freedom.</dd>


<dt>trans</dt>
<dd>An (optional) transformation to be applied to the data. By
default the identity function</dd>


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

</dl>

plot.WH_2d: Plot Method for a Whittaker-Henderson Fit

Description

Usage

Value

Arguments

Examples