predict.mlpcr {fdasrvf}

Elastic Prediction for functional multinomial logistic PCR Model

Description

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

Usage

## S3 method for class 'mlpcr'
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 per class

PC.comb

total 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.