I am new to time series and am trying to forecast a data series in r; which has weekly data. I have a few questions related to the same:
- While trying to use auto.arima() model, it shows the optimum order is c(0,1,1) with drift, however, it does not mention anything about the seasonality where in my data there is seasonality in one week per year. Data series looks like this
Should I use any other model to catch the seasonality factor and include it in model?
but while, trying to check accuracy i get error as "Error in window.default(x, ...) : 'start' cannot be after 'end'"
used this function: aust=window(train_1,start=2016) fit1=hw(aust,seasonal = "additive") autoplot(fit1)
Please help me understand how should i incorporate seasonal component in the model? is my Auto.arima model better than Holt-Winters? which one should i go with for forecasting ? and how to check the forecasting accuracy ? Many Thanks !