check_heaping_coale_li: Coale-Li age heaping index

In timriffe/DemoTools: Standardize, Evaluate, and Adjust Demographic Data

Coale-Li age heaping index

Description

This implementation is based largely on the sparse verbal description given in Coale and Li (1991): calculate a two-stage 5-term moving average as a reference pattern, then take ratios with respect to this. Ratios for a given terminal digit can then be averaged to produce an index. This procedure was used in that paper for ages 65-100 for mortality rates. It is probably better suited to rates than counts, but that is not a hard rule.

Usage

check_heaping_coale_li(
  Value,
  Age,
  ageMin = 60,
  ageMax = max(Age),
  terms = 5,
  digit = 0
)

Arguments

Value	numeric. A vector of demographic counts by single age.
Age	numeric. A vector of ages corresponding to the lower integer bound of the counts.
ageMin	integer. The lowest age included in calculations. Default 25.
ageMax	integer. The upper age bound used for calculations. Default 65.
terms	integer. Length of the (centered) moving average be. Default 5.
digit	integer. Any digit 0-9. Default 0.

Details

digit could also be a vector of digits, but the more digits one includes (excepting 0 and 5) the closer the index will get to 1. It is therefore recommended for single digits, or else c(0,5). ageMax is an inclusive upper bound, treated as interval. If you want ages 20 to 89, then give ageMin = 20 and ageMax = 89, not 90. By default all available ages greater than or equal to ageMin are used.

Value

The value of the index.

References

\insertRef

coale1991effectDemoTools

Examples

Age <- 0:99
check_heaping_coale_li(pop1m_pasex, Age, 65, 95, 5, 0) # 3.7
check_heaping_coale_li(pop1m_pasex, Age, 65, 95, 5, 5) # 3.5 almost just as high

timriffe/DemoTools documentation built on Jan. 28, 2024, 5:13 a.m.