[R] possible bug in vars package (predict.varest) ???

[Pfaff, Bernhard Dr.]

Hello Spencer,

which version of vars are you using? This has been fixed a while ago
(see ChangeLog). Incidentally, the data in Canada is quarterly data, as
stated in ?Canada. Aside of this, your code snippet works fine.

Best,
Bernhard

ps: There is no need to download the tarball as suggested by Mark,
instead you can do: vars:::predict.varest

>hello,
>
>I have been trying to use the predict function in the vars package to
>forecast from a seasonal VAR model. The following code sample 
>illustrates
>what I am trying to do and the error that I get when trying to do it.
>
>I run the following code, that results in the following error:
>
>data(Canada)
>
>endoC <- Canada[1:72,1:3]
>exoC <- Canada[1:72,4]
>var.2c <- VAR(endoC, p = 2, season=12,exogen=exoC,type = "const")
>exoC_2 <- as.matrix(Canada[73:84,4])
>
>predict(var.2c, n.ahead = 12,dumvar=exoC_2)
>
>Error:
>
>Error in as.matrix(cycle, nrow = season, ncol = season - 1) :
>        unused argument(s) (nrow = 12, ncol = 11)
>
>from what I can guess, the predict.varest function is using 
>as.matrix() and
>passing nrow and ncol, as.matrix() does not take those two 
>parameters but
>matrix() does.
>
>Does anyone have a suggestion of how to get around it? Is 
>there a way I can
>get to the predict.varest() function and alter it myself?
>
>Thanks,
>
>Spencer
>
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