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.
# S3 method for snm
predict(object, newdata, ...)a vector of prediction values, obtained by evaluating the model in the frame newdata
a fitted snm object.
a data frame containing the values at which predictions are required. Default are data used to fit the object.
other arguments, but currently unused.
Chunlei Ke chunlei_ke@yahoo.com and Yuedong Wang yuedong@pstat.ucsb.edu
This function is a method for the generic function predict for class snm.
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.
snm, predict