Perhaps:
require(forecast)
?auto.arima #
Or look into package fitAR. The first performs seasonal optimization so it is
likely better for your application.
Ken Hutchison
On Oct 21, 2554 BE, at 1:59 PM, Flávio Fagundes <flavi...@gmail.com> wrote:
> Hi people,
>
> I´m trying to development a simple routine to run many Arima models result
> from some parâmeters combination.
> My data test have one year and daily level.
> A part of routine is:
>
> for ( d in 0:1 )
> { for ( p in 0:3 )
> { for ( q in 0:3 )
> { for ( sd in 0:1 )
> { for ( sp in 0:3 )
> { for ( sq in 0:3 )
> {
> Yfit=arima(Yst[,2],order=c(p,d,q),seasonal=list(order=c(sp,sd,sq),period=7),include.mean=TRUE,xreg=DU0)
> }}}}}}
>
> Until the step 187 it´s run normally, but in the step 187 return a error and
> stop the program.
>
>>
> Yfit=arima(Yst[,2],order=c(1,0,1),seasonal=list(order=c(2,1,2),period=7),include.mean=TRUE,xreg=DU0)
>
> Error in optim(init[mask], armafn, method = "BFGS", hessian = TRUE, control
> = optim.control, :
> non-finite finite-difference value [1]
>
> My questions is:
>
> 1. What this error mean and why it occured?
> 2. How can I do to this program disregard any error and to continue to run
> until the end of looping?
> 3. Someone know if already have any routine that do this?
>
> Thanks
> Flávio
>
> [[alternative HTML version deleted]]
>
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