coale.demeny.ax

Find ax[1:2] indicators using Coale-Demeny coefficients
Here we adjust the first two values of ax to account for infant
mortality more accurately

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

coale.demeny.ax function

<dl><dt>x</dt>
<dd>Vector of ages at the beginning of the age interval.</dd>
<dt>mx</dt>
<dd>Life table death rate in age interval [x, x+n).</dd>
<dt>ax</dt>
<dd>Numeric scalar. Subject-time alive in age-interval for those who
die in the same interval. If <code>NULL</code> this will be estimated. A common
assumption is <code>ax = 0.5</code>, i.e. the deaths occur in the middle of
the interval. Default: <code>NULL</code>.</dd>
<dt>sex</dt>
<dd>Sex of the population considered here. Default: <code>NULL</code>.
This argument affects the first two values in the life table ax column.
If sex is specified the values are computed based on the Coale-Demeny method
and are slightly different for males than for females.
Options: <code>NULL, male, female, total</code>.</dd></dl>

Arguments

Find ax[1:2] indicators using Coale-Demeny coefficients
Here we adjust the first two values of ax to account for infant
mortality more accurately — coale.demeny.ax

<dl>

<dt>x</dt>
<dd>Vector of ages at the beginning of the age interval.</dd>


<dt>mx</dt>
<dd>Life table death rate in age interval [x, x+n).</dd>


<dt>ax</dt>
<dd>Numeric scalar. Subject-time alive in age-interval for those who
die in the same interval. If <code>NULL</code> this will be estimated. A common
assumption is <code>ax = 0.5</code>, i.e. the deaths occur in the middle of
the interval. Default: <code>NULL</code>.</dd>


<dt>sex</dt>
<dd>Sex of the population considered here. Default: <code>NULL</code>.
This argument affects the first two values in the life table ax column.
If sex is specified the values are computed based on the Coale-Demeny method
and are slightly different for males than for females.
Options: <code>NULL, male, female, total</code>.</dd>

</dl>

coale.demeny.ax: Find ax[1:2] indicators using Coale-Demeny coefficients Here we adjust the first two values of ax to account for infant mortality more accurately

Description

Usage

Value

Arguments