An objective function of the structural parameter computes the measure of fit for the basis expansion.
outterobj_multi_missing(ode.parameter, basis.initial, derivative.model, inner.input, NLS)Structural parameters of the ODE model.
Initial values of the basis coefficients for nonlinear least square optimization.
The function defines the ODE model and is the same as the ode.model in 'pcode'
Input that will be passed to the inner objective function. Contains dependencies for the optimization, including observations, penalty parameter lambda, and etc..
Default is TRUE so the function returns vector of residuals, and otherwise returns sum of squared errors.
Vector of residuals and evaluation of penalty function on quadrature points for approximating the integral.