FMEAN() returns an iid functional model applied to the formula's response variable as a function of age.
Examples
fmean <- norway_mortality |>
dplyr::filter(Sex == "Female") |>
model(mean = FMEAN(Mortality))
report(fmean)
#> Series: Mortality
#> Model: FMEAN
#>
#> # A tibble: 111 × 3
#> Age mean sigma
#> <int> <dbl> <dbl>
#> 1 0 0.0231 0.0212
#> 2 1 0.00616 0.00763
#> 3 2 0.00262 0.00324
#> 4 3 0.00179 0.00215
#> 5 4 0.00144 0.00173
#> 6 5 0.00124 0.00152
#> 7 6 0.00109 0.00134
#> 8 7 0.000972 0.00118
#> 9 8 0.000907 0.00111
#> 10 9 0.000879 0.00113
#> # ℹ 101 more rows
autoplot(fmean) + ggplot2::scale_y_log10()
