Perform an Arima Model Based (AMB) decomposition on several periodcities at once

Usage

multiAirlineDecomposition(
  y,
  periods,
  ndiff = 2,
  ar = FALSE,
  stde = FALSE,
  nbcasts = 0,
  nfcasts = 0,
  log = FALSE,
  y_time = NULL
)

y: input time series.
periods: vector of periods values of the seasonal component, any positive real numbers.
stde: Boolean: TRUE: compute standard deviations of the components. In some cases (memory limits), it is currently not possible to compute them
nbcasts: number of backcasts.
nfcasts: number of forecasts.
y_time: vector of times at which `y` is indexed
adjust: Boolean: TRUE: actual fractional airline model is to be used, FALSE: the period is rounded to the nearest integer.
sn: decomposition into signal and noise (2 components only). The signal is the seasonally adjusted series and the noise the seasonal component.