gauss_model: Gaussian model of functional data

In fdasrvf: Elastic Functional Data Analysis

Gaussian model of functional data

Description

This function models the functional data using a Gaussian model extracted from the principal components of the srvfs

Usage

gauss_model(warp_data, n = 1, sort_samples = FALSE)

Arguments

warp_data	fdawarp object from time_warping of aligned data
n	number of random samples (n = 1)
sort_samples	sort samples (default = F)

Value

Returns a fdawarp object containing

fs	random aligned samples
gams	random warping function samples
ft	random function samples

References

Tucker, J. D., Wu, W., Srivastava, A., Generative Models for Function Data using Phase and Amplitude Separation, Computational Statistics and Data Analysis (2012), 10.1016/j.csda.2012.12.001.

Examples

out1 <- gauss_model(simu_warp, n = 10)

fdasrvf documentation built on Oct. 5, 2024, 1:08 a.m.