coefficients for regression , including intercept , for example if model has 3 regressors then length of regressionCoeff is 4
p,d,q for the arima error structure, length of arimaOrders must be 3
AR , d , and MA terms , length of arimaCoeff = p+d+q
Takes a series of i.
Takes a series of i.i.d. observations and returns a time series based on it with the time-dependent effects of this model added.
Time series of i.i.d. observations.
Array to put the filtered series, can be the same as ts.
The dest series, for convenience.
AR , d , and MA terms , length of arimaCoeff = p+d+q
p,d,q for the arima error structure, length of arimaOrders must be 3
coefficients for regression , including intercept , for example if model has 3 regressors then length of regressionCoeff is 4
Takes a time series that is assumed to have this model's characteristics and returns a time series with time-dependent effects of this model removed.
Takes a time series that is assumed to have this model's characteristics and returns a time series with time-dependent effects of this model removed.
This is the inverse of TimeSeriesModel#addTimeDependentEffects.
Time series of observations with this model's characteristics.
Array to put the filtered series, can be the same as ts.
The dest series, for convenience.