expandBasisFunction

This function calculates a linear combination of arbitrary basis functions on 
domains with arbitrary dimension.

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

expandBasisFunction function

<dl><dt>scores</dt>
<dd>A matrix of dimension <code>N x K</code>, representing the <code>K</code> 
scores (coefficients) for each of the <code>N</code> observations.</dd>
<dt>argvals</dt>
<dd>A list representing the domain, see <code>funData</code>
for details. Defaults to <code>functions@argvals</code>.</dd>
<dt>functions</dt>
<dd>A <code>funData</code> object, representing <code>K</code> basis 
functions on a domain with arbitrary dimension.</dd></dl>

Arguments

Calculate a linear combination of arbitrary basis function — expandBasisFunction

<dl>

<dt>scores</dt>
<dd>A matrix of dimension <code>N x K</code>, representing the <code>K</code> 
scores (coefficients) for each of the <code>N</code> observations.</dd>


<dt>argvals</dt>
<dd>A list representing the domain, see <code>funData</code>
for details. Defaults to <code>functions@argvals</code>.</dd>


<dt>functions</dt>
<dd>A <code>funData</code> object, representing <code>K</code> basis 
functions on a domain with arbitrary dimension.</dd>

</dl>

expandBasisFunction: Calculate a linear combination of arbitrary basis function

Description

Usage

Value

Arguments

See Also