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: 2026-10-28 09:39:58 UTC; root
Author: Clara Happ-Kurz [aut, cre] (ORCID:
        <https://orcid.org/0000-0003-4737-3835>)
Repository: https://cran.r-universe.dev
Date/Publication: 2025-08-27 20:30:02 UTC
RemoteUrl: https://github.com/cran/MFPCA
RemoteRef: HEAD
RemoteSha: 763fe5e55429ca7711736dc0ec02cff21d105a03