Simulate time series based on multiple seasonal decomposition

simulate multiple time series based a given series using multiple seasonal decomposition

sim_mstlbased(
  y,
  Nsim,
  Combine = TRUE,
  M = TRUE,
  Future = FALSE,
  Length = NA,
  extralength = NA,
  mtd = "ets"
)

Arguments

y	a time series or M-competition data time series (Mcomp object)
Nsim	number of time series to simulate
Combine	if TRUE, training and test data in the M-competition data are combined and generate a time series corresponds to the full length of the series. Otherwise, it generate a time series based on the training period of the series.
M	if TRUE, y is considered to be a Mcomp data object
Future	if future=TRUE, the simulated observations are conditional on the historical observations. In other words, they are possible future sample paths of the time series. But if future=FALSE, the historical data are ignored, and the simulations are possible realizations of the time series model that are not connected to the original data.
Length	length of the simulated time series. If future = FALSE, the Length agument should be NA.
extralength	extra length need to be added for simulated time series
mtd	method to use for forecasting seasonally adjusted time series

Value

A list of time series.