Description Usage Arguments Details Author(s) References Examples

View source: R/combined_test.R

Ollech-Webel overall seasonality test that combines results from different seasonality tests.

1 | ```
combined_test(y, freq = NA)
``` |

`y` |
time series |

`freq` |
Frequency of the time series |

By default, the WO-test combines the results of the QS-test and the kw-test, both calculated on the residuals of an automatic non-seasonal ARIMA model. If the p-value of the QS-test is below 0.01 or the p-value of the kw-test is below 0.002, the WO-test will classify the corresponding time series as seasonal.

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.

Daniel Ollech

Ollech, D. and Webel, K. (forthcoming). An overall seasonality test. Deutsche Bundesbank's Discussion Paper series.

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.

1 2 | ```
combined_test(ts(rnorm(120, 10,10), frequency=12))
combined_test(ts(rnorm(120, 10,10), frequency=7))
``` |

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