seasonal.test | R Documentation |
Perform a seasonal unit root test to check seasonality in a linear stochastic process
seasonal.test(y, seasonal = c("ocsb","ch","hegy"), alpha = 0.05)
y |
a numeric vector or an object of the |
seasonal |
A character string naming the desired seasonal unit root test for checking seasonality.
Valid values are |
alpha |
Level of the test, possible values range from 0.01 to 0.1. By default |
Several different tests are available:
In the kpss
test, the null hypothesis that y
has a stationary root
against a unit-root alternative. In the two remaining tests, the null hypothesis
is that y
has a unit root against a stationary root alternative. By default,
alpha = 0.05
is used to select the more likely hypothesis.
A list with class "h.test"
containing the following components:
statistic: |
the test statistic. |
parameter: |
the test degrees freedoms. |
p.value: |
the p-value for the test. |
alternative: |
a character string describing the alternative hypothesis. |
method: |
a character string with the test name. |
data.name: |
a character string giving the name of the data. |
Asael Alonzo Matamoros
Osborn, D., Chui, A., Smith, J., & Birchenhall, C. (1988). Seasonality and the order of integration for consumption. Oxford Bulletin of Economics and Statistics. 50(4), 361-377.
Canova, F. & Hansen, B. (1995). Are Seasonal Patterns Constant over Time? A Test for Seasonal Stability. Journal of Business and Economic Statistics. 13(3), 237-252.
Hylleberg, S., Engle, R., Granger, C. & Yoo, B. (1990). Seasonal integration and cointegration. Journal of Econometrics 44(1), 215-238.
normal.test
, uroot.test
# stationary ar process
y = ts(rnorm(100),frequency = 6)
seasonal.test(y)
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