Plot of the Out-of-Sample Forecasts in a PIAR Model
Plot of the Out-of-Sample Forecasts in a PIAR Model
This function displays a plot of the predictions and the corresponding 95 per cent confidence intervals based on a PIAR model. In this version, this function is implemented for quarterly observed data, PIAR models up to order 2 are considered, and seasonal intercepts are included by default.
plotpredpiar (x)
Arguments
x: Object of class 'pred.piartsm'.
References
P.H. Franses: Periodicity and Stochastic Trends in Economic Time Series (Oxford University Press, 1996).
See Also
pred.piartsm-class, and predictpiar.
Examples
## Load data and select the deterministic components. data("gergnp") lgergnp <- log(gergnp, base=exp(1))## Fit a PIAR(2) model with seasonal intercepts. out.pred <- predictpiar(wts=lgergnp, p=2, hpred=24) plotpredpiar(out.pred)