Analyze ARIMA Residuals

This component analyzes the residuals of an ARIMA (AutoRegressive Integrated Moving Average) model by
1. visualizing auto correlation of the residuals
2. performing Ljung-Box test of autocorrelation at lags 1-10
3. visualizing residuals in a line plot
4. calculating the four first central moments of the residuals
5. performing Jarque-Bera test of normality

If you encoutner errors please verify that
Preferances > KNIME > Python (labs) > Python environment configuration
is set to bundled

Input ports

1. Type: Table
   ARIMA Model
   ARIMA model