predict.hfpca: Elastic Prediction for functional PCA

In fdasrvf: Elastic Functional Data Analysis

Elastic Prediction for functional PCA

Description

This function performs projection of new functions on fPCA basis

Usage

## S3 method for class 'hfpca'
predict(object, newdata = NULL, ...)

Arguments

object	Object of class inheriting from "horizFPCA"
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.

fdasrvf documentation built on Oct. 5, 2024, 1:08 a.m.