predict.lpcr {fdasrvf}

Elastic Prediction for functional logistic PCR Model

Description

This function performs prediction from an elastic logistic fPCR regression model with phase-variability

Usage

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

Arguments

object

Object of class inheriting from "elastic.pcr.regression"

newdata

An optional matrix in which to look for variables with which to predict. If omitted, the fitted values are used.

y

An optional vector of labels to calculate PC. If omitted, PC is NULL

...

additional arguments affecting the predictions produced

Value

Returns a list containing

y_pred

predicted probabilities of the class of newdata

y_labels

class labels of newdata

PC

probability of classification

References

J. D. Tucker, J. R. Lewis, and A. Srivastava, “Elastic Functional Principal Component Regression,” Statistical Analysis and Data Mining, 10.1002/sam.11399, 2018.