Hi…I want to implement Time Series Forecasting for irregular time series(i.e it have irregular interval in dates) on Daily Dataset. My task is to find out the best time series forecasting models which can make forecasting for the number of request for the next 15 days.

The example of the dataset which I am using is given below:

date req_per_day

13-07-2016 1

15-07-2016 1

11-08-2016 1

01-09-2016 1

13-09-2016 1

14-09-2016 1

22-09-2016 2

For that i have used “zoo” library in R for the irregular time series but I am unable to implement ets and other methods like ar model,arima model with zoo objects as it expects the time series to be regular.I have also tried in converting the zoo object to ts but again it is showing NA for the dates which are not present in the dataset.

My question is what is the method we use for forecasting daily data with gaps in it in R.

Thanks in advance.