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.