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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) <doi:10.48550/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>.
| Version: | 1.0 |
| Depends: | R (≥ 3.5.0) |
| Suggests: | future |
| Published: | 2024-02-06 |
| Author: | Valentina Masarotto [aut, cph, cre], Guido Masarotto [aut, cph] |
| Maintainer: | Valentina Masarotto <v.masarotto at math.leidenuniv.nl> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | fdWasserstein results |
| Reference manual: | fdWasserstein.pdf |
| Package source: | fdWasserstein_1.0.tar.gz |
| Windows binaries: | r-devel: fdWasserstein_1.0.zip, r-release: fdWasserstein_1.0.zip, r-oldrel: fdWasserstein_1.0.zip |
| macOS binaries: | r-release (arm64): fdWasserstein_1.0.tgz, r-oldrel (arm64): fdWasserstein_1.0.tgz, r-release (x86_64): fdWasserstein_1.0.tgz, r-oldrel (x86_64): fdWasserstein_1.0.tgz |
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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.
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