Daily Prediction

I am developing time series model. Working in daily prediction using "ts" from "library (tseries)".

I use "Holt winters" and "tbats" method but the value seems to be not accurate.

any idea for a best fit to a daily prediction. The code am using..

td<-ts(mydata1_subset$sales, frequency=365, start=c(2018, 1),end = c(2020,200))
past<- window(td, end = c(2020,200))
future<- window(td, start = c(2020,200))
model1<- HoltWinters(past,seasonal = "additive")
pred<- predict(model1,n.ahead = 165,prediction.interval = T)

I want to predict daily data for quarterly aggregation.

This topic was automatically closed 21 days after the last reply. New replies are no longer allowed.

If you have a query related to it or one of the replies, start a new topic and refer back with a link.