Description Usage Arguments Details Value Author(s) References See Also Examples
This function computes the Canova-Hansen statistic for testing the null hypothesis of stationary seasonal cycles against the alternative of seasonal unit roots.
1 2 |
wts |
a univariate time series object. |
frec |
a vector indicating the cycles to analyse. By default, all seasonal cycles are tested. |
f0 |
a 0-1 (No-Yes) vector of length one indicating wether a first lag of the dependent variable is included or not in the auxiliar regression. See details. |
DetTr |
a logical argument. If TRUE a linear trend is included in the auxiliar regression. |
ltrunc |
lag truncation parameter for computing the residuals covariance matrix. By default, round(s*(N/100)^0.25), where s is the periodicity of the data and N the number of observations. |
Elements of frec
must be set equal to 0 if the season assigned to this element is not considered
and equals to 1 for the frequencies to analyse. The position of each frequency in the vector is as
follows: c(pi/2, pi) for quarterly series and c(pi/6, pi/3, pi/2, 2pi/3, 5pi/6, pi) for monthly series.
An object of class chstat-class
.
Javier Lopez-de-Lacalle javlacalle@yahoo.es and Ignacio Diaz-Emparanza Ignacio.Diaz-Emparanza@ehu.es.
F. Canova and B.E. Hansen (1995), Are seasonal patterns constant over time? A test for seasonal stability. Journal of Business and Economic Statistics, 13, 237-252.
1 2 3 4 5 6 7 8 9 10 11 | ## CH test
data(AirPassengers)
## Test for stationary cycles at all seasonal frequencies,
## including a first order lag and but not a linear trend.
ch.out1 <- CH.test(wts=AirPassengers, frec=c(1,1,1,1,1,1), f0=1, DetTr=FALSE)
ch.out1
## Test for stationary seasonal cycles at frequencies +i and -i,
## including a first order lag and but not a linear trend.
ch.out2 <- CH.test(wts=AirPassengers, frec=c(0,0,0,0,0,1), f0=1, DetTr=FALSE)
ch.out2
|
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