portman.Q {nlts} | R Documentation |
Ljung-Box test for whiteness in a time series.
Description
portman.Q uses the cummulative ACF to test for whiteness of a time series.
Usage
portman.Q(x, K)
Arguments
x |
A time series (vector without missing values). |
K |
the maximum lag of the ACF to be used in the test. |
Details
This is the Ljung-Box version of the the Portemanteau test for whiteness (Tong 1990). It may in particular be usefull to test for whiteness in the residuals from time series models.
Value
A vector is returned consisting of the asymtpotic chi-square value, the associated d.f. and asymptotic p.val for the test of whiteness.
References
Tong, H. (1990) Non-linear time series : a dynamical system approach. Clarendon Press, Oxford.
Examples
data(plodia)
portman.Q(sqrt(plodia), K = 10)
fit <- ar(sqrt(plodia))
portman.Q(na.omit(fit$resid), K = 10)
[Package nlts version 1.0-2 Index]