Package: MFPCA
Type: Package
Title: Multivariate Functional Principal Component Analysis for Data
        Observed on Different Dimensional Domains
Version: 1.3-11
Date: 2025-08-26
Authors@R: person("Clara", "Happ-Kurz", email = "chk_R@gmx.de",
                  role = c("aut", "cre"), comment = c(ORCID = "0000-0003-4737-3835"))
Maintainer: Clara Happ-Kurz <chk_R@gmx.de>
Description: 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>.
URL: https://github.com/ClaraHapp/MFPCA
License: GPL-2
Imports: abind, foreach, irlba, Matrix(>= 1.5-0), methods, mgcv (>=
        1.8-33), plyr, stats
Depends: R (>= 3.2.0), funData (>= 1.3-4)
Suggests: covr, fda, testthat (>= 2.0.0)
NeedsCompilation: yes
SystemRequirements: libfftw3 (>= 3.3.4)
RoxygenNote: 7.3.1
Packaged: 2025-08-27 09:18:37 UTC; clara
Author: Clara Happ-Kurz [aut, cre] (ORCID:
    <https://orcid.org/0000-0003-4737-3835>)
Repository: CRAN
Date/Publication: 2025-08-27 20:30:02 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-27 16:49:30 UTC; unix
Archs: MFPCA.so.dSYM
