Usage
inneropt.DDE(data, times, pars, beta, coefs, lik, proc, in.meth = "nlminb", control.in = list(), basisvals, fdobj0)
Arguments
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
lik object defining the observation process.
proc
proc object defining the state process.
in.meth
Inner optimization function currently one of 'nlminb', 'optim', or 'trustOptim'.
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.