We take `nLx`

as indicative of a stationary population age structure,
then subject the population structure to long-term growth by a constant rate, `r`

.

OPAG_nLx_warp_r(Lx1, Age_Lx1, r)

Lx1 | numeric vector of stationary population age structure in arbitrary integer age groups |
---|---|

Age_Lx1 | integer vector of lower bounds of age groups of |

r | stable growth rate |

numeric vector of the transformed `nLx`

. Note, this vector sums to `1`

.

`Lx1`

could be any population structure of any scale, as long as you're comfortable
assuming it's stationary and can be warped into stable. For the oldest ages, this is probably
quite often an acceptable and useful approximation. The transformation is applied at the single-age scale, even if the input `nLx`

is in wider (e.g. abridged) age groups. When needed, we reduce to single ages using (default) `graduate_uniform()`

, then apply the transformation, then group back. This is innocuous if `nLx`

is given in single ages. You may want to change `method`

to `"mono"`

or `"pclm"`

.

#> Downloading nLx data for Spain, years 1971, gender female