| predict.snm {assist} | R Documentation |
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
## S3 method for class 'snm'
predict(object, newdata, ...)
Arguments
object |
a fitted |
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. |
Details
This function is a method for the generic function predict for class snm.
Value
a vector of prediction values, obtained by evaluating the model in the frame newdata
Author(s)
Chunlei Ke chunlei_ke@yahoo.com and Yuedong Wang yuedong@pstat.ucsb.edu
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.