generate_latent_process: Function used to generate the latent curves for simulation...

In acweisha/gFPCAClassif: Classification of Binary Functional Data

Description

Function used to generate the latent curves for simulation scenarios where I define various scenarios, inspired by Delaigle and Hall(2012)

Usage

generate_latent_process(theta, mu_coeff, tt, n = 20, return_scores_too = F)

Arguments

theta	Define latent process X_i using Fourier basis
mu_coeff	vector of mean coefficients
tt	grid of points which the functions are observed
n	number of individuals to generate data for
return_scores_too	Indicator to determine whether or not to return the coefficients too

Value

latent process observed on points defined by grid

acweisha/gFPCAClassif documentation built on Dec. 18, 2021, 10:23 p.m.