chksea function

Check the Seasonality of Each Component of a Multiple Time Series

Check the Seasonality of Each Component of a Multiple Time Series

Check the seasonality of each component of a multiple time series.

chksea(x, period = c(12), p = 0, alpha = 0.05, output = TRUE)

Arguments

  • x: T by k data matrix: T data points in rows with each row being data at a given time point, and k time series in columns.
  • period: seasonal period. Default value is 12.
  • p: Regular AR order. Default value is max(floor(log(T)),1).
  • alpha: Type-I error for the t-ratio of seasonal coefficients. Default value is 0.05.
  • output: If TRUE it returns if the series has seasonality. Default is TRUE.

Returns

A list containing:

  • Seasonal - TRUE or FALSE.
  • period - Seasonal period.

Details

Check the seasonality fitting a seasonal AR(1) model and a regular AR(p) model to a scalar time series and testing if the estimated seasonal AR coefficient is significant.

Examples

data(TaiwanAirBox032017) output <- chksea(TaiwanAirBox032017[,1])
  • Maintainer: Antonio Elias
  • License: GPL-3
  • Last published: 2022-04-27

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