My challenge is the following:
I have an univariate time series.
I need to have the correct R code which has at least 51 % or higher accuracy to forecast the alpha,beta and gamma numbers.(ABG)
The below 2 sets of code provide each the ABG .But nut accurate enough.
sales <- ts(sales, frequency=3, start=c(2019,1)) predict(ts(sales)) sales <- auto.arima(sales) plot(forecast(sales,h=20)) forecast(sales) <sup>Created on 2020-06-25 by the [reprex package](https://reprex.tidyverse.org) (v0.3.0)</sup> Is there a package which provides a accurate forecast higher than 50% ?