compute.ax

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

compute.ax function

<dl><dt>x</dt>
<dd>Numeric vector of ages at the beginning of each age interval. 
For a full life table, use single-year ages (e.g., <code>0:110</code>). 
For an abridged life table, use the lower bound of each interval 
(e.g., <code>c(0, 1, 5, 10, ..., 110)</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></dl>

Arguments

Find ax indicator — compute.ax

<dl>

<dt>x</dt>
<dd>Numeric vector of ages at the beginning of each age interval. 
For a full life table, use single-year ages (e.g., <code>0:110</code>). 
For an abridged life table, use the lower bound of each interval 
(e.g., <code>c(0, 1, 5, 10, ..., 110)</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>

</dl>

compute.ax: Find ax indicator

Description

Usage

Value

Arguments