For a mable with a single model column, return the model components that are indexed by birth year of the cohort.
Examples
aus_mortality |>
dplyr::filter(State == "Victoria", Sex == "male", Age > 50) |>
model(apc = APC(Mortality)) |>
cohort_components()
#> # A tsibble: 169 x 5 [1Y]
#> # Key: Sex, State, Code [1]
#> Sex State Code Birth_Year gc
#> <chr> <chr> <chr> <int> <dbl>
#> 1 male Victoria VIC 1801 NA
#> 2 male Victoria VIC 1802 1.15
#> 3 male Victoria VIC 1803 -0.163
#> 4 male Victoria VIC 1804 -0.128
#> 5 male Victoria VIC 1805 0.150
#> 6 male Victoria VIC 1806 0.314
#> 7 male Victoria VIC 1807 0.327
#> 8 male Victoria VIC 1808 0.389
#> 9 male Victoria VIC 1809 0.331
#> 10 male Victoria VIC 1810 0.225
#> # ℹ 159 more rows