MFPCA: Multivariate Functional Principal Component Analysis for Data Observed on Different Dimensional Domains
Version 1.1

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'.

Getting started

Package details

AuthorClara Happ [aut, cre]
Date of publication2017-06-17 14:35:11 UTC
MaintainerClara Happ <clara.happ@stat.uni-muenchen.de>
LicenseGPL-2
Version1.1
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("MFPCA")

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MFPCA documentation built on June 20, 2017, 9:15 a.m.