mT.extrapolateTrendExp

Extrapolate a mortality trend in a <code>mortalityTable</code> object using an exponential function (i.e. the trend decreases towards 0 exponentially).
This is mainly used to extrapolate an observed age-specific trend to very old ages.
Existing trend function values above (or below, respectively) the <code>idx</code> are overwritten.

Classes to implement, analyze and plot cohort life tables
for actuarial calculations. Birth-year dependent cohort mortality
tables using a yearly trend to extrapolate from a base year are implemented,
as well as period life table, cohort life tables using an age shift, and
merged life tables. Additionally, several data sets from various countries
are included to provide widely-used tables out of the box.

Reinhold Kainhofer

MortalityTables

A Framework for Various Types of Mortality / Life Tables

mT.extrapolateTrendExp function

<dl><dt>table</dt>
<dd>A life table object (instance of a <code>mortalityTable</code> class) or a list, table or array of mortalityTable objects</dd>
<dt>idx</dt>
<dd>Index (typically age) of the position of the fit</dd>
<dt>up</dt>
<dd>Whether the fit is forward- or backward-facing (i.e. to old or young ages)</dd></dl>

Arguments

Extrapolate a mortality trend exponentially — mT.extrapolateTrendExp

<dl>

<dt>table</dt>
<dd>A life table object (instance of a <code>mortalityTable</code> class) or a list, table or array of mortalityTable objects</dd>


<dt>idx</dt>
<dd>Index (typically age) of the position of the fit</dd>


<dt>up</dt>
<dd>Whether the fit is forward- or backward-facing (i.e. to old or young ages)</dd>

</dl>

mT.extrapolateTrendExp: Extrapolate a mortality trend exponentially

Description

Usage

Arguments

Examples