Hello,
I am looking for an R package that uses nonlinear least squares to fit
ARIMA models. Initially I was using tseries but according to the
documentation for the Arima function in tseries:
*The exact likelihood is computed via a state-space representation of the
ARIMA process, and the innovatio
Good afternoon,
I know that packages like r-forecast will create confidence intervals for
forecasts which can then be plotted. However I am doing something
experimental and would like to specify my own prediction distributions and
then graph them. Can anyone tell me if there is some package or func
Thank you very much for your advice.
On Tue, May 14, 2019 at 11:01 PM Abby Spurdle wrote:
> > 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.
>
> I'm sorry.
> I disagree.
> This is a question
Oh I see. Nevermind then.
On Tue, May 14, 2019 at 1:57 PM Jeff Newmiller
wrote:
> 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.
>
> On May 14, 2019 10:51:20 AM MDT, Michael How
differences in
the code. The only thing passed to it was the data. How might this happen?
The (2,1,0) model works better so I would like to be able to reproduce the
results.
Regards,
Michael Howell
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R-help@r
Yes that is a little off topic but I will look into it more. Thank you very
much for your help.
Michael
On Mon, May 13, 2019 at 11:33 AM Rui Barradas wrote:
> Hello,
>
> Sorry for the late reply.
> Inline.
>
> Às 17:54 de 10/05/19, Michael Howell escreveu:
> > Rui,
&g
Hello everyone,
So this is my first post to this list, I'm trying to fit an Arima (2,0,0)
model and I think a drift term would help but I'm getting an error term
when I'm trying to include it. Here is my data:
-6.732172338
-2.868884273
-5.371585089
-6.512740463
-4.171062657
-5.738499071
-3.3439471
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