output_to_df

Store WH model fit results in a data.frame

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

output_to_df function

<dl><dt>object</dt>
<dd>An object of class <code>"WH_1d"</code> or <code>"WH_2d"</code> returned
by the <code>WH()</code> function</dd>
<dt>dim1</dt>
<dd>The (optional) name to be given to the first dimension</dd>
<dt>dim2</dt>
<dd>The (optional) name to be given to the second dimension</dd></dl>

Arguments

Store WH model fit results in a data.frame — output_to_df

<dl>

<dt>object</dt>
<dd>An object of class <code>"WH_1d"</code> or <code>"WH_2d"</code> returned
by the <code>WH()</code> function</dd>


<dt>dim1</dt>
<dd>The (optional) name to be given to the first dimension</dd>


<dt>dim2</dt>
<dd>The (optional) name to be given to the second dimension</dd>

</dl>

output_to_df: Store WH model fit results in a data.frame

Description

Usage

Value

Arguments