I am having a lot of trouble understanding the difference between the two decomposition methods: twitter and stl.
decompose_twitter(data, target, frequency = "auto", trend = "auto", message = TRUE) decompose_stl(data, target, frequency = "auto", trend = "auto", message = TRUE)
Does anyone have any experience with this? I tried reading the documentation but I am having trouble understanding it. I am looking for a clear, concise difference between the two.
The only reason why I am asking is because with my dataset, in the anomalize package, using the twitter vs stl method give two completely different results and I want to know how to interpret this.
Any help would be great, thanks!