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fdasrvf (version 2.3.6)

gauss_model: 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)

Value

Returns a fdawarp object containing

fs

random aligned samples

gams

random warping function samples

ft

random function samples

Arguments

warp_data

fdawarp object from time_warping of aligned data

n

number of random samples (n = 1)

sort_samples

sort samples (default = F)

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

Run this code
out1 <- gauss_model(simu_warp, n = 10)

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