extract_var_info

<p>MFPCA object from which to extract multivariate eigenvalues and
univariate norms.</p>

MFPC

<p>This is an internal function contained in the multiFAMM function. This step
allows to extract the information of the total variation in the data (multi-
and univariate).</p>

internal

An implementation for multivariate functional additive mixed
models (multiFAMM), see Volkmann et al. (2021, <arXiv:2103.06606>). It builds on developed methods for univariate sparse
functional regression models and multivariate functional principal component
analysis. This package contains the function to run a multiFAMM and some
convenience functions useful when working with large models. An additional
package on GitHub contains more convenience functions to reproduce the
analyses of the corresponding paper
(<https://github.com/alexvolkmann/multifammPaper>).

extract_var_info: Extract Variance Information from MFPCA Object

Description

Usage

Arguments