seastests (version 0.15.4)

kw: Kruskall Wallis test

Description

Test for seasonality in a time series.

Usage

kw(x, freq = NA, diff = T, residuals = F, autoarima = T)

Arguments

x

time series

freq

Frequency of the time series

diff

Shall the differenced series be tested?

residuals

Shall the residuals of an ARIMA model be tested?

autoarima

Use automatic instead of a (0,1,1) ARIMA model?

Details

If residuals=FALSE the autoarima settings are ignored.

If residuals=TRUE, a non-seasonal ARIMA model is estimated for the time series. And the residuals of the fitted model are used as input to the test statistic. If an automatic order selection is used, the Hyndman-Khandakar algorithm is employed with max(p)=max(q) <= 3.

References

Hyndman, R. J. and Y. Khandakar (2008). Automatic Time Series Forecasting: The forecast Package for R. Journal of Statistical Software 27 (3), 1-22.

Kruskal, W. H. and W. A. Wallis (1952). Use of Ranks in One-Criterion Variance Analysis. Journal of the American Statistical Association 47 (260), 583-621.

Ollech, D. and Webel, K. (2020). A random forest-based approach to identifying the most informative seasonality tests. Deutsche Bundesbank's Discussion Paper series 55/2020.

Examples

# NOT RUN {
kw(ts(rnorm(120, 10,10), frequency=12))
kw(ts(rnorm(1200, 10,10), frequency=7))
# }