predict.lpcr: Elastic Prediction for functional logistic PCR Model

In fdasrvf: Elastic Functional Data Analysis

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.

fdasrvf documentation built on Nov. 19, 2023, 1:09 a.m.