[R] Different predictions with forecast::auto.arima()
@purd|e@@ @end|ng |rom gm@||@com
Wed May 15 06:00:49 CEST 2019
> This is definitely a statistics question still so not on topic here... as
changing the data is exactly the kind of thing that can have this effect.
This is a question about reproducible code.
So, I don't see why it should be considered off topic.
> >The function returned a (2,1,0) model with drift. However when I used the
> >same function it returns a (1,1,0) model. There were no obvious
> >in the code. The only thing passed to it was the data. How might this
Either a different version of R, a difference in the forecast package, a
difference in one of it's imports (which there are many), or different
If you're sure the input is the same, then it must be one of the other
I suggest reading the documentation for the relevant forecast package
The auto.arima() function alone has many arguments.
Changing their values may produce a more desirable model.
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