segCoverageFromYear: estimate death registration coverage for a single...

In albinomatheus/toolbox: Matheus' personal functions and palettes

estimate death registration coverage for a single year/sex/region using the Bennett-Horiuchi method

Description

Given two censuses and an average annual number of deaths in each age class between censuses, we can use stable population assumptions to estimate the degree of underregistration of deaths. The method estimates age-specific degrees of coverage. The age pattern of these is assumed to be noisy, so we take the arithmetic mean over some range of ages. One may either specify a particular age-range, or let the age range be determined automatically. If the age-range is found automatically, this is done using the method developed for the generalized growth-balance method. Part of this method relies on a prior value for remaining life expectancy in the open age group. By default, this is estimated using a standard reference to the Coale-Demeny West model life table, although the user may also supply a value. Called by seg(). Users probably do not need to use this function directly.

Usage

segCoverageFromYear(
  codi,
  minA = 15,
  maxA = 75,
  minAges = 8,
  exact.ages = NULL,
  eOpen = NULL,
  nx.method = 2,
  deaths.summed = FALSE,
  mig.summed = deaths.summed,
  delta = FALSE,
  exact.ages.ggb = NULL,
  lm.method = "oldschool",
  opt.method = "r2"
)

Arguments

codi	data.frame with columns, $pop1, $pop2, $deaths, $date1, $date2, $sex, $age, and $id (to indicate regions, periods, sexes).
minA	the lowest age to be included in search
maxA	the highest age to be included in search (the lower bound thereof)
minAges	the minimum number of adjacent ages to be used in estimating
exact.ages	optional. A user-specified vector of exact ages to use for coverage estimation
eOpen	optional. A user-specified value for remaining life-expectancy in the open age group.
nx.method	either 2 or 4. 4 is smoother.
deaths.summed	logical. is the deaths column given as the total per age in the intercensal period (TRUE). By default we assume FALSE, i.e. that the average annual was given.
mig.summed	logical. Is the (optional) net migration column mig given as the total per age in the intercensal period (TRUE). By default we assume FALSE, i.e. that the average annual was given.
delta	logical. Do we perform the so-called delta adjustment?
exact.ages.ggb	optional vector of ages used to estimate GGB coverage (if delta is TRUE)
lm.method	character, one of: "oldschool" default sd ratio operation of still unknown origin "lm" or "ols" for a simple linear model "tls", "orthogonal", or "deming" for total least squares "tukey", "resistant", or ""median" for Tukey's resistant line method
opt.method	what kind of residual do we minimize? choices "RMS","logRMS", "ORSS", "logORSS" (experimental)

Details

Census dates can be given in a variety of ways: 1) using Date classes, and column names $date1 and $date2 (or an unambiguous character string of the date, like, "1981-05-13") or 2) by giving column names "day1","month1","year1","day2","month2","year2" containing integers. If only year1 and year2 are given, then we assume January 1 dates. If year and month are given, then we assume dates on the first of the month.

Value

a data.frame with columns for the coverage coefficient, and the min and max of the age range on which it is based.

albinomatheus/toolbox documentation built on June 13, 2024, 5:42 a.m.