The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

ReMFPCA: Regularized Multivariate Functional Principal Component Analysis

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>.

Version: 1.0.0
Depends: R (≥ 4.0), R6
Imports: fda, expm, Matrix
Published: 2023-07-01
DOI: 10.32614/CRAN.package.ReMFPCA
Author: Hossein Haghbin ORCID iD [aut, cre], Yue Zhao ORCID iD [aut], Mehdi Maadooliat ORCID iD [aut]
Maintainer: Hossein Haghbin <haghbin at pgu.ac.ir>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/haghbinh/ReMFPCA
NeedsCompilation: no
Materials: README
CRAN checks: ReMFPCA results

Documentation:

Reference manual: ReMFPCA.pdf

Downloads:

Package source: ReMFPCA_1.0.0.tar.gz
Windows binaries: r-devel: ReMFPCA_1.0.0.zip, r-release: ReMFPCA_1.0.0.zip, r-oldrel: ReMFPCA_1.0.0.zip
macOS binaries: r-release (arm64): ReMFPCA_1.0.0.tgz, r-oldrel (arm64): ReMFPCA_1.0.0.tgz, r-release (x86_64): ReMFPCA_1.0.0.tgz, r-oldrel (x86_64): ReMFPCA_1.0.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ReMFPCA to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.