par.mFPCA {funcharts} | R Documentation |
Setting mixed functional principal component analysis (mFPCA) defaults
Description
This is an internal function of package FRTM
which allows controlling the parameters used in the mFPCA in the FRTM method.
Usage
par.mFPCA(perc_pca = 0.9, perc_basis_x_pca = 1, perc_basis_h = 0.2)
Arguments
perc_pca |
Percentage of the total variability used to select the number |
perc_basis_x_pca |
Multiplied by the maximum number of basis of the registered functions for each time point in |
perc_basis_h |
Multiplied by the mean number of basis of the warping functions for each time point in |
See Also
Examples
library(funcharts)
par.mFPCA()
[Package funcharts version 1.7.0 Index]