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: 2024-02-05 11:40:17 UTC; valentinamasarotto
Repository: CRAN
Date/Publication: 2024-02-06 17:00:02 UTC
Built: R 4.6.0; ; 2026-04-26 18:00:33 UTC; unix
