predictionTheta: Predict the warping parameters.

In warpMix: Mixed Effects Modeling with Warping for Functional Data Using B-Spline

Description

This function predict the warping parameters, using the estimations of those parameters, and fitting a linear mixed effect model on them.

Usage

predictionTheta(thetaObs, sigmaEpsilon)

Arguments

thetaObs	A matrix (size: n * T) corresponding of the estimations of the warping parameters.
sigmaEpsilon	A number, defining the variance of the noise in the linear mixed- effect model fitted on the warping parameters.

Value

A list, with theta, a matrix of predicted warping parameters, sigmaE the covariance of the random effects, and theta0 the mean.

warpMix documentation built on May 1, 2019, 6:30 p.m.