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 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.

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@pstat.ucsb.edu 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.

See Also

snm, predict


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