predict.vfpca {fdasrvf} | R Documentation |
Elastic Prediction for functional PCA
Description
This function performs projection of new functions on fPCA basis
Usage
## S3 method for class 'vfpca'
predict(object, newdata = NULL, ...)
Arguments
object |
Object of class inheriting from "vertFPCA" |
newdata |
An optional matrix in which to look for functions with which to predict. If omitted, the original functions are used. |
... |
additional arguments affecting the predictions produced |
Value
Returns a matrix
a |
principle coefficients |
References
Tucker, J. D., Wu, W., Srivastava, A., Generative Models for Function Data using Phase and Amplitude Separation, Computational Statistics and Data Analysis (2012), 10.1016/j.csda.2012.12.001.
[Package fdasrvf version 2.3.1 Index]