maxeig

internal

Calculate a multivariate functional principal component analysis
for data observed on different dimensional domains. The estimation algorithm
relies on univariate basis expansions for each element of the multivariate
functional data (Happ & Greven, 2018) <doi:10.1080/01621459.2016.1273115>.
Multivariate and univariate functional data objects are
represented by S4 classes for this type of data implemented in the package
'funData'. For more details on the general concepts of both packages and a case
study, see Happ-Kurz (2020) <doi:10.18637/jss.v093.i05>.

Clara Happ-Kurz

MFPCA

Multivariate Functional Principal Component Analysis for Data
Observed on Different Dimensional Domains

maxeig function

<dl><dt>A</dt>
<dd>Matrix whose eigenvalue is sought</dd></dl>

Arguments

Compute the largest eigenvalue and associated eigenvector of a matrix A using the power method — maxeig

<dl>

<dt>A</dt>
<dd>Matrix whose eigenvalue is sought</dd>

</dl>

maxeig: Compute the largest eigenvalue and associated eigenvector of a matrix A using the power method

Description

Usage

Value

Arguments