residuals.fitNNMoMo

This function computes the residuals for objects created by
<code>fit.NNMoMo</code>.
It is analog to the <code>residuals.fitStMoMo</code> function for
StMoMo but without the option to scale the residuals as <code>nobs</code> and
<code>npar</code> are not provided by the neural network.

Provides extensions to the 'StMoMo' package by incorporating neural network functionality for Lee-Carter and Poisson Lee-Carter mortality models. Includes tools for constructing mortality datasets from 'demogdata' objects and fitting neural network-based mortality models. Further analysis, such as plotting and forecasting, can be done with 'StMoMo' functions.

Daniel Herzog

NNMoMo

Neural Network Extension to 'StMoMo' for Lee-Carter Modeling

residuals.fitNNMoMo function

<dl><dt>object</dt>
<dd>An object of class <code>fitNNMoMo</code> with the fitted parameters
of a stochastic mortality model.</dd>
<dt>scale</dt>
<dd>Logical, default <code>FALSE</code>. If <code>TRUE</code>, an error is
thrown because the number of observations (<code>nobs</code>) and parameters
(<code>npar</code>) cannot be calculated for <code>fitNNMoMo</code> objects.</dd>
<dt>...</dt>
<dd>Further arguments passed to or from other methods.</dd></dl>

Arguments

Compute Residuals for NNMoMo Fitted Models — residuals.fitNNMoMo

<dl>

<dt>object</dt>
<dd>An object of class <code>fitNNMoMo</code> with the fitted parameters
of a stochastic mortality model.</dd>


<dt>scale</dt>
<dd>Logical, default <code>FALSE</code>. If <code>TRUE</code>, an error is
thrown because the number of observations (<code>nobs</code>) and parameters
(<code>npar</code>) cannot be calculated for <code>fitNNMoMo</code> objects.</dd>


<dt>...</dt>
<dd>Further arguments passed to or from other methods.</dd>

</dl>

residuals.fitNNMoMo: Compute Residuals for NNMoMo Fitted Models

Description

Usage

Value

Arguments