plotpredict.car {cts} | R Documentation |
PLot of forecast from models fitted by car
plotpredict.car(object, xlab = "time", ylab = NULL, type = "l", main = NULL, sub = NULL,...)
object |
the result of a car fit. |
xlab |
the x label of the plot. |
ylab |
the y label of the plot. |
type |
the type of plot to be drawn, defaults to lines. |
main |
overall title for the plot. |
sub |
a sub title for the plot. |
... |
further graphical parameters. |
See predict.car.
A plot of original continuous time series along with predictions and 95% confidence intervals
G. Tunnicliffe Wilson and Zhu Wang
Belcher, J. and Hampton, J. S. and Tunnicliffe Wilson, G. (1994). Parameterization of continuous time autoregressive models for irregularly sampled time series data. Journal of the Royal Statistical Society, Series B, Methodological,56,141–155
Jones, Richard H. (1981). Fitting a continuous time autoregression to discrete data. Applied Time Series Analysis II, 651–682
Wang, Zhu (2004). The Application of the Kalman Filter to Nonstationary Time Series through Time Deformation. PhD thesis, Southern Methodist University
## Not run: data(asth) (fit <- car(asth,scale=0.25,order=4,n.ahead=10)) plotpredict.car(predict(fit) ## End(Not run)