Package: ReMFPCA
Type: Package
Title: Regularized Multivariate Functional Principal Component Analysis
Version: 2.0.0
Authors@R: c(
    person("Hossein", "Haghbin", email = "haghbin@pgu.ac.ir", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-8416-2354")),
    person("Yue", "Zhao", email = "yue.zhao@mu.edu", role = "aut", comment = c(ORCID = "0009-0000-4561-9163")),
    person("Mehdi", "Maadooliat", email = "mehdi.maadooliat@mu.edu", role = "aut", comment = c(ORCID = "0000-0002-5408-2676"))
    )
Maintainer: Hossein Haghbin <haghbin@pgu.ac.ir>
Description: Methods and tools for implementing regularized
        multivariate functional principal component analysis
        ('ReMFPCA') for multivariate functional data whose variables
        might be observed over different dimensional domains. 'ReMFPCA'
        is an object-oriented interface leveraging the extensibility
        and scalability of R6. It employs a parameter vector to control
        the smoothness of each functional variable. By incorporating
        smoothness constraints as penalty terms within a regularized
        optimization framework, 'ReMFPCA' generates smooth multivariate
        functional principal components, offering a concise and
        interpretable representation of the data. For detailed
        information on the methods and techniques used in 'ReMFPCA',
        please refer to Haghbin et al. (2023)
        <doi:10.48550/arXiv.2306.13980>.
URL: https://github.com/haghbinh/ReMFPCA
License: GPL (>= 2)
Encoding: UTF-8
LazyData: TRUE
Imports: fda, expm, Matrix
RoxygenNote: 7.3.2
Depends: R (>= 4.0), R6
Config/pak/sysreqs: make
Repository: https://haghbinh.r-universe.dev
Date/Publication: 2025-04-12 08:28:48 UTC
RemoteUrl: https://github.com/haghbinh/remfpca
RemoteRef: HEAD
RemoteSha: 8ea03c2e4064f5a87a35fc69c3072417b3a954e2
NeedsCompilation: no
Packaged: 2026-07-02 09:01:22 UTC; root
Author: Hossein Haghbin [aut, cre] (ORCID:
    <https://orcid.org/0000-0001-8416-2354>),
  Yue Zhao [aut] (ORCID: <https://orcid.org/0009-0000-4561-9163>),
  Mehdi Maadooliat [aut] (ORCID: <https://orcid.org/0000-0002-5408-2676>)