Open abhijitsahay opened 5 years ago
for most timeseries forecasting algorithms you need to interpolate the missing values.
The R arima function seems to handle missing values gracefully. Please see:
https://stats.stackexchange.com/questions/346225/fitting-arima-to-time-series-with-missing-values
Interpolation introduces its own difficulties, as I am sure you realize.
Is there a way to use this model if my time series has some values missing?