Uses the Wage Price Index
wage_inflator(
from = NULL,
to = NULL,
check = 1L,
series = wpi_original(),
fy_month = 3L,
x = NULL,
nThread = getOption("grattanInflators.nThread", 1L)
)wpi_original(..., FORECAST = FALSE, LEVEL = "mean")
wpi_seasonal(..., FORECAST = FALSE, LEVEL = "mean")
wpi_trend(..., FORECAST = FALSE, LEVEL = "mean")
If `x` is `NULL`, the default, a numeric vector matching the lengths of `from` and `to` equal to the inflators by which nominal wages dated `from` must be multiplied so that they are in `to` real terms.
If `x` is numeric, it is taken to be wages dated `from` and the value returned is `x` in `to` real terms.
Times for which the inflator is desired. If NULL, a date
range close to the previous year is used.
integer(1) If 0L, no checks are performed, and
clearly invalid inputs result in NA in the output. If check = 1L
an error is performed for bad input; check = 2L is more thorough.
A call to `wpi_original()`, `wpi_seasonal()`, or `wpi_trend()`, defining which wage price index series to use.
The month to be used in `series` for financial years.
(Advanced) A vector that will be inflated in-place. If NULL,
the default, the return vector is simply the inflation factor for `from`.
Number of threads to use.
Set of date-rate pairs for custom WPI series in the future.
Whether the series should be extended via an ETS forecast.
If `FORECAST = TRUE` what prediction interval should be used. (`LEVEL = 20` means the lower end of an 80% prediction interval.) If `LEVEL = "mean"` (the default), the central estimate is used.