MFPCA1.3-10 package

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

fdaBasis

Use a basis from package fda for univariate representation

calcBasisIntegrals

Utility function that calculates matrix of basis-scalar products (one ...

calcMFPCA

Internal function that implements the MFPCA algorithm for given univar...

check_FCP_TPA_input

Check input of FCP TPA function

dct2D

Calculate and threshold DCT for an image

dct3D

Calculate and threshold DCT for an 3D image

dctBasis2D

Calculate a cosine basis representation for functional data on two- or...

dctFunction2D

Calculate linear combinations of orthonormal cosine basis functions on...

dot-PACE

Calculate univariate functional PCA

expandBasisFunction

Calculate a linear combination of arbitrary basis function

FCP_TPA

The functional CP-TPA algorithm

fcptpaBasis

Calculate a smooth PCA representation for functional data on two-dimen...

findAlphaVopt

Find the optimal smoothing parameters in FCP_TPA using GCV

fpcaBasis

Calculate a functional principal component basis representation for fu...

gcv

Generalized cross-validation for the FCP-TPA algorithm

givenBasis

Use given basis functions for univariate representation

idct2D

Calculate an inverse DCT for an image

idct3D

Calculate an inverse DCT for a 3D image

maxeig

Compute the largest eigenvalue and associated eigenvector of a matrix ...

MFPCA

Multivariate functional principal component analysis for functions on ...

multivExpansion

Calculate multivariate basis expansion

normVec

Calculate the euclidean norm of a vector

PACE

Univariate functional principal component analysis by smoothed covaria...

plot.MFPCAfit

Plot MFPCA results

predict.MFPCAfit

Function prediction based on MFPCA results

print.MFPCAfit

Print the results of a Multivariate Functional Principal Component Ana...

print.summary.MFPCAfit

Print summary of a Multivariate Functional Principal Component Analysi...

scoreplot.MFPCAfit

Plot the Scores of a Multivariate Functional Principal Component Analy...

scoreplot

Scoreplot Generic

screeplot.MFPCAfit

Screeplot for Multivariate Functional Principal Component Analysis

splineBasis1D

Calculate a spline basis decomposition for functional data on one-dime...

splineBasis2D

Calculate a spline basis representation for functional data on two-dim...

splineFunction1D

Calculate linear combinations of spline basis functions on one-dimensi...

splineFunction2D

Calculate linear combinations of spline basis functions on two-dimensi...

stratSample

Sample stratified indices according to a factor variable

summary.MFPCAfit

Summarize a Multivariate Functional Principal Component Analysis

ttv

Tensor times vector calculation

ttvCalculation

Internal function for the Tensor times Vector calculation

UMPCA

UMPCA: Uncorrelated Multilinear Principle Component Analysis

umpcaBasis

Calculate an uncorrelated multilinear principal component basis repres...

univDecomp

Univariate basis decomposition

univExpansion

Calculate a univariate basis expansion

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>.