| predict.snr {assist} | R Documentation |
Predict Method from a Semiparametric Nonlinear Regression Model Fit
Description
The predictions on a semiparametric nonlinear regression model object are obtained by substituting the unknwon functions together with unknown parameters with their estimates and evaluating the regression functional based on provided or default covariate values.
Usage
## S3 method for class 'snr'
predict(object, newdata, ...)
Arguments
object |
a fitted |
newdata |
a data frame containing the values at which predictions are required. Default are NULL, where data used to produce the fit are to be taken. |
... |
other arguments, but currently unused. |
Details
This function is a method for the generic function predict for class snr
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. (2000). Semi-parametric Nonlinear Regression and Mixed Effects Models. PhD thesis, University of California, Santa Barbara.