| armaselect | R Documentation | 
armaselect implements  the MINIC  (Minimum Information Criterion) 
identification method and returns the nbmod best ARMA models, with respect to
the Schwarz's Bayesian Criterion (sbc).
armaselect(y, max.p = 15, max.q = 15, nbmod = 10)
| y | a time series | 
| max.p | an integer, the maximum value for the autoregressive component, p | 
| max.q | an integer, the maximum value for the moving average component, q | 
| nbmod | an integer, the number of models that will be returned ( | 
A matrix with nbmod rows and 3 columns (values of p, q and sbc)
Yves Aragon
set.seed(4123)
n2 <- 210
yc <- arima.sim(n = 200, list(ar = -0.8, ma = c(-0.3, 0.6)),
 sd = sqrt(1.5))
yc <- yc - 10
armaselect(yc, nbmod = 5) 
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