Description Usage Arguments Details Value Author(s)
Estmates spline coefficients given parameters for DDE models.
1 2  inneropt.DDE(data, times, pars, beta, coefs, lik, proc, in.meth = "nlminb",
control.in = list(), basisvals, fdobj0)

data 
Matrix of observed data values. 
times 
Vector observation times for the data. 
pars 
Initial values of parameters to be estimated processes. 
beta 
Initial values of the contribution of lags for the delay. 
coefs 
Vector giving the current estimate of the coefficients in the spline. 
lik 

proc 

in.meth 
Inner optimization function currently one of 
control.in 
Control object for inner optimization function. 
basisvals 
Values of the collocation basis to be used. This should be a basis object from the fda package. 
fdobj0 
A functional data object fitted with the history part of the data. 
This minimizes the objective function for DDE models defined by the addition of the lik
and proc
objectives with respect to the coefficients. A number of generic optimization routines can be used and some experimentation is recommended.
A list with elements
A matrix giving he optimized coefficients.
The results of the inner optimization function.
Ziqian Zhou
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