Description Usage Arguments Value See Also
The fitted process and forecasts are plotted.
These may be either plotted simultaneously, as matplot
does for
multivariate data, or one by one with a mouse click to move from one
plot to another. The function also accepts the other plot
specification arguments that the regular plot does. The forecast
is done by integreting the process forward and forecast confidence
is based on an arima model fitted to the residual using
auto.arima
function from forecast
package.
1 2 3 
y 
The observed data matrix 
times 
A sequence of time points at which data are observed. must be evenly spaced to be able to fit arima model to the residual. 
h 
How many lags to predict forward. 
pars 
The fitted parameters for the DDE. 
beta 
The fitted parameters for the contribution of lags of delays. 
proc 
The 
more 
An object specifying additional arguments to fn. 
tau 
A list of delay lags. 
ndelay 
A vector inidicating which state process has a delay term. 
fdobj0 
A functional data object fitted with the initial history part of the data. 
fdobj.d 
A functional data object fitted by generalized profiling. 
ask 
a logical value: If TRUE, each curve is shown separately, and the plot advances with a mouse click. 
xlab 
a label for the horizontal axis. 
ylab 
a label for the vertical axis. 
xlim 
a vector of length 2 containing axis limits for the horizontal axis. 
ylim 
a vector of length 2 containing axis limits for the vertical axis. 
axes 
Either a logical or a list or

... 
additional plotting arguments that can be used with function 
'done'
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