gauss_model {fdasrvf}

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)