predict.snm: Predictions from a Semiparametric Nonlinear Mixed Effects...

In catherinewang1/assist: A Suite of R Functions Implementing Spline Smoothing Techniques

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\[e-mail] and Yuedong Wang [e-mail]

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

catherinewang1/assist documentation built on June 16, 2019, 1:36 p.m.