coale.demeny.ax: Find ax[1:2] indicators using Coale-Demeny coefficients Here...

In MortalityLaws: Parametric Mortality Models, Life Tables and HMD

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

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

Usage

coale.demeny.ax(x, mx, ax, sex)

Arguments

x	Vector of ages at the beginning of the age interval.
mx	Life table death rate in age interval [x, x+n).
ax	Numeric scalar. Subject-time alive in age-interval for those who die in the same interval. If NULL this will be estimated. A common assumption is ax = 0.5, i.e. the deaths occur in the middle of the interval. Default: NULL.
sex	Sex of the population considered here. Default: NULL. 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: NULL, male, female, total.

Value

A vector of coefficients

MortalityLaws documentation built on Aug. 8, 2023, 5:10 p.m.