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. Multivariate and univariate functional data objects are represented by S4 classes for this type of data implemented in the package 'funData'.

Documentation

Manual: MFPCA.pdf
Vignette: None available.

Maintainer: Clara Happ <clara.happ at stat.uni-muenchen.de>

Author(s): Clara Happ*

Install package and any missing dependencies by running this line in your R console:

install.packages("MFPCA")

Depends R (>= 3.1.0), funData
Imports abind, foreach, irlba, Matrix, methods, mgcv, plyr, stats
Suggests covr, testthat
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Package MFPCA
Materials
URL
Task Views FunctionalData
Version 1.1
Published 2017-06-17
License GPL-2
BugReports
SystemRequirements libfftw3 (>= 3.3.4)
NeedsCompilation yes
Citation
CRAN checks MFPCA check results
Package source MFPCA_1.1.tar.gz