popReconstruct (version 1.0-6)

popRecon.ccmp.female: Female Dominant Cohort Component Projection

Description

Implements the deterministic female dominant cohort component method of population projection.

Usage

popRecon.ccmp.female(pop, surv, fert, srb = 1.05,
mig, proj.steps, age.int = 5, label.dims = FALSE, base.year = "1960")

Arguments

pop

Population count at baseline.

surv

Survivorship probabilities: the probability of reaching the age at the start of the interval.

fert

Matrix of average annual, single-year age-specific fertility rates (see Details).

srb

Sex ratio at birth matrix

mig

Net number of migrants as a proportion of prev time period's population.

proj.steps

Number of time periods to project forward. If missing, set to ncol(fert).

age.int

Width of the age intervals; needed for correct interpretation of survival probabilities and fertility rates.

label.dims

Should row and column names be set? Aesthetic.

base.year

Baseline year for popualtion projections (aesthetic).

Value

A matrix of projected population counts, age groups as rows, time periods as columns.

Vignettes

burkina-faso-females

Details

The first row of surv should be \({}_nL_0/(nl_0)\), where \({}_nL_0\) and \(l_0\) are the usual life table parameters. The last row is survival for age.int years in the open interval.

The elements of the fert argument should not be multiplied by age.int. In other words, the average annual total fertility rates (TFRs) corresponding to the columns of fert are age.int * colSums(fert).

The elements of mig give the average annual net number of migrants, as proportion of the size of the same age-group in the receiving population. Thus, the total net number of migrants to the population over the period

References

Preston, S. H., Heuveline, P. and Guillot, M. (2001) Demography, chapter 6. Malden, MA: Blackwell.

See Also

make.leslie.matrix, net.number.migrants

Examples

# NOT RUN {
data(burkina_faso_females)

(pop.input.mat <-
    popRecon.ccmp.female(pop=burkina.faso.females$baseline.pop.counts
                      ,surv=burkina.faso.females$survival.proportions
                      ,fert=burkina.faso.females$fertility.rates
                      ,mig=burkina.faso.females$migration.proportions
                      ))
# }