find.my.case

Function that identifies the case/problem we have to solve

internal

Fit the most popular human mortality 'laws', and construct
full and abridge life tables given various input indices. A mortality
law is a parametric function that describes the dying-out process of
individuals in a population during a significant portion of their
life spans. For a comprehensive review of the most important mortality
laws see Tabeau (2001) <doi:10.1007/0-306-47562-6_1>.
Practical functions for downloading data from various human mortality
databases are provided as well.

Marius Pascariu

MortalityLaws

Parametric Mortality Models, Life Tables and HMD

Marius D. Pascariu

Vladimir Canudas-Romo

find.my.case function

<dl><dt>Dx</dt>
<dd>Death counts. Each element represents the total number of 
deaths during the calendar year to persons aged <code>x</code> to 
<code>x + n</code> (where <code>n</code> is the length of the age interval). 
Must be provided together with <code>Ex</code>.</dd>
<dt>Ex</dt>
<dd>Exposure-to-risk in the period. This is usually approximated 
by the mid-year population aged <code>x</code> to <code>x + n</code>. Must be 
provided together with <code>Dx</code>.</dd>
<dt>mx</dt>
<dd>Age-specific death rate in the age interval <code>[x, x+n)</code>. 
Defined as <code>Dx / Ex</code>.</dd>
<dt>qx</dt>
<dd>Probability of dying within the age interval <code>[x, x+n)</code>.</dd>
<dt>lx</dt>
<dd>Probability of surviving to exact age <code>x</code> (if <code>lx0 = 1</code>), 
or the number of survivors at exact age <code>x</code> (if <code>lx0 &gt; 1</code>). 
When <code>lx</code> is the sole input, the values are re-scaled to the 
chosen radix <code>lx0</code>.</dd>
<dt>dx</dt>
<dd>Number of deaths in the life-table population occurring in 
the age interval <code>[x, x+n)</code>. When <code>dx</code> is the sole input, 
the values are re-scaled to sum to <code>lx0</code>.</dd></dl>

Arguments

Function that identifies the case/problem we have to solve — find.my.case

<dl>

<dt>Dx</dt>
<dd>Death counts. Each element represents the total number of 
deaths during the calendar year to persons aged <code>x</code> to 
<code>x + n</code> (where <code>n</code> is the length of the age interval). 
Must be provided together with <code>Ex</code>.</dd>


<dt>Ex</dt>
<dd>Exposure-to-risk in the period. This is usually approximated 
by the mid-year population aged <code>x</code> to <code>x + n</code>. Must be 
provided together with <code>Dx</code>.</dd>


<dt>mx</dt>
<dd>Age-specific death rate in the age interval <code>[x, x+n)</code>. 
Defined as <code>Dx / Ex</code>.</dd>


<dt>qx</dt>
<dd>Probability of dying within the age interval <code>[x, x+n)</code>.</dd>


<dt>lx</dt>
<dd>Probability of surviving to exact age <code>x</code> (if <code>lx0 = 1</code>), 
or the number of survivors at exact age <code>x</code> (if <code>lx0 &gt; 1</code>). 
When <code>lx</code> is the sole input, the values are re-scaled to the 
chosen radix <code>lx0</code>.</dd>


<dt>dx</dt>
<dd>Number of deaths in the life-table population occurring in 
the age interval <code>[x, x+n)</code>. When <code>dx</code> is the sole input, 
the values are re-scaled to sum to <code>lx0</code>.</dd>

</dl>

find.my.case: Function that identifies the case/problem we have to solve

Description

Usage

Value

Arguments