Hi there,
I sent this e-mail two days ago, but I did not see it pass by the R-help
mailinglist and I was wondering if you could post it or is there a que?
Thanks in advance.
Kind regards,
Jose
-- Forwarded message --
From: José Verhoeven
Date: 2013/7/22
Subject: Why does
Hi there,
I have estimated a bivariate VAR model (with series x1 and x2 as endogenous
variables):
y=cbind(x1,x2)
z=cbind(d1,d2,d3,d4,d5,d6,d7,d8,d9) # some dummy variables
model<-VAR(y, p = 3, type = c("const", "trend", "both", "none"),
season = NULL, exogen = z, lag.max = NULL,
ic = c("AIC
Hi,
I would like to estimate a VAR(5) model, but including lags T-1, T-7, T-14,
T-21 and T-28 instead of the usual T-1, T-2, T-3, T-4, T-5.
But it seems I cannot accomplish this by using the below function.
VAR(y, p = 1, type = c("const", "trend", "both", "none"),
season = NULL, exogen = NULL, lag
25, replace=T, prob=c(1/2,rep(1/8,4)), ncol=5)
>> mat
>>
>> # [,1] [,2] [,3] [,4] [,5]
>> #[1,]01243
>> #[2,]30010
>> #[3,]24404
>> #[4,]00000
>> #[5,]120
Hi there,
I've got this matrix D with, say 10 rows and 20 columns. For each row I want
to sum the first 3 non zero elements and put them in a vector z.
So if the first row D[1,] is
0 3 5 0 8 9 3 2 4 0
then I want z
z<-D[1,2]+D[1,3]+D[1,5]
But if there are less than 3 non zero elements, those sho
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