Package: fdWasserstein
Type: Package
Title: Application of Optimal Transport to Functional Data Analysis
Version: 1.0
Date: 2024-01-08
Authors@R: c(person("Valentina", "Masarotto", role = c("aut", "cph", "cre"),
                     email = "v.masarotto@math.leidenuniv.nl"),
              person("Guido", "Masarotto", role = c("aut","cph")))
Author: Valentina Masarotto [aut, cph, cre], Guido Masarotto [aut, cph]
Maintainer: Valentina Masarotto <v.masarotto@math.leidenuniv.nl>
Suggests: future
Depends: R (>= 3.5.0)
Description: These functions were developed to support statistical
        analysis on functional covariance operators. The package
        contains functions to: - compute 2-Wasserstein distances
        between Gaussian Processes as in Masarotto, Panaretos & Zemel
        (2019) <doi:10.1007/s13171-018-0130-1>; - compute the
        Wasserstein barycenter (Frechet mean) as in Masarotto,
        Panaretos & Zemel (2019) <doi:10.1007/s13171-018-0130-1>; -
        perform analysis of variance testing procedures for functional
        covariances and tangent space principal component analysis of
        covariance operators as in Masarotto, Panaretos & Zemel (2022)
        <arXiv:2212.04797>. - perform a soft-clustering based on the
        Wasserstein distance where functional data are classified based
        on their covariance structure as in Masarotto & Masarotto
        (2023) <doi:10.1111/sjos.12692>.
License: GPL-3
NeedsCompilation: no
Packaged: 2026-09-24 08:21:04 UTC; root
Repository: https://cran.r-universe.dev
Date/Publication: 2024-02-07 02:30:00 UTC
RemoteUrl: https://github.com/cran/fdWasserstein
RemoteRef: HEAD
RemoteSha: df061e9a728bea4915e0806c6bc83f23c18fd79b