sum(asfr_female * Lx / l0): expected daughters per woman allowing for
the mother's survival, with Lx from the female period life table of the
same province and year (build_life_tables()'s fltper, radix
l0 = 100000).
net_reproduction_rate(asfr_df, lt_df)Output of age_specific_fertility_rate().
build_life_tables()'s fltper tibble (columns
nuts3_code, year, age, Lx).
A tibble with nuts3_code, province_name, year, nrr.
asfr <- tibble::tibble(
nuts3_code = "ES111", province_name = "A Coruna", year = 2023,
age = c(20, 30), asfr = c(0.03, 0.08), asfr_female = c(0.015, 0.04)
)
fltper <- tibble::tibble(
nuts3_code = "ES111", year = 2023, age = c(20, 30), Lx = c(99000, 98500)
)
net_reproduction_rate(asfr, fltper)
#> # A tibble: 1 × 4
#> nuts3_code province_name year nrr
#> <chr> <chr> <dbl> <dbl>
#> 1 ES111 A Coruna 2023 0.0542