predict.mlpcr

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

object

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

newdata

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

additional arguments affecting the predictions produced

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

regression

alignment

srvf

Performs alignment, PCA, and modeling of multidimensional and
unidimensional functions using the square-root velocity framework
(Srivastava et al., 2011 <arXiv:1103.3817> and
Tucker et al., 2014 <DOI:10.1016/j.csda.2012.12.001>). This framework
allows for elastic analysis of functional data through phase and
amplitude separation.

predict.mlpcr: Elastic Prediction for functional multinomial logisitc PCR Model

Description

Usage

Arguments

Value

References