Seasonal Adjustment of Weekly Data
Seasonal adjustment of weekly data
Find optimal number of fourier variables
Detect additive outliers in weekly time series
Create Fourier (trigonometric) regressors for weekly data
Generate a moving-holiday regressor for weekly data
Create additive outlier indicator variables
Internal function for a specific application
Compare AR spectra of original and seasonally adjusted series
Plot
Predict
Print method for boiwsa objects
Generic print function
Generate a simple working-day trading-day regressor
Summary function
Generic summary function
Perform seasonal adjustment and forecasting of weekly data. The package provides a user-friendly interface for computing seasonally adjusted estimates and forecasts of weekly time series and includes functions for the construction of country-specific prior adjustment variables, as well as diagnostic tools to assess the quality of the adjustments. The methodology is described in more detail in Ginker (2024) <doi:10.13140/RG.2.2.12221.44000>.