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

Description Usage Arguments

View source: R/LifeTable.R

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

1
coale.demeny.ax(x, mx, ax, sex)

Arguments

x

Vector of ages at the beginning of the age interval.

mx

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.


MortalityLaws documentation built on Aug. 31, 2018, 5:03 p.m.