predict.snm: Predictions from a Semiparametric Nonlinear Mixed Effects Model Fit
Description
The predictions are obtained on a semiparametric nonlinear mixed effects model object
by replacing the unknown functuons and the unknown parameters with their estimates.
Of note, only a population level of predictions is available.
Usage
predict.snm(object, newdata, ...)
Arguments
object
a fitted snm object.
newdata
a data frame containing the values at which predictions are required.
Default are data used to fit the object.
...
other arguments, but currently unused.
Value
a vector of prediction values, obtained by evaluating the model in the frame newdata
Details
This function is a method for the generic function predict for class snm.
References
Wahba, G. (1990). Spline Models for Observational Data. SIAM, Vol. 59.
Ke, C. and Wang, Y. (2001). Semi-parametric Nonlinear Mixed Effects Models and
Their Applications. JASA.