Package: fdWasserstein 1.0
Valentina Masarotto
fdWasserstein: Application of Optimal Transport to Functional Data Analysis
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>.
Authors:
fdWasserstein_1.0.tar.gz
fdWasserstein_1.0.zip(r-4.7-any)fdWasserstein_1.0.zip(r-4.6-any)
fdWasserstein_1.0.tar.gz(r-4.7-any)fdWasserstein_1.0.tar.gz(r-4.6-any)
fdWasserstein_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
fdWasserstein/json (API)
| # Install 'fdWasserstein' in R: |
| install.packages('fdWasserstein', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- logPeriodogram - Phoneme data
- Phoneme - Phoneme data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:df061e9a72. Checks:6 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 110 | ||
| source / vignettes | OK | 146 | ||
| linux-release | OK | 106 | ||
| windows-devel | OK | 64 | ||
| windows-release | OK | 70 | ||
| wasm-release | OK | 107 |
Exports:dwassersteingaussBarytangentPCAtrimmedAverageSilhouettewassersteinClusterwassersteinTest
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Application of Optimal Transport to Functional Data Analysis | fdWasserstein-package fdWasserstein |
| 2-Wasserstein distance | dwasserstein |
| Wasserstein barycenter between Gaussian Processes | gaussBary |
| Phoneme data | logPeriodogram Phoneme |
| Tangent space principal component analysis | tangentPCA |
| Soft clustering of covariance operators. | trimmedAverageSilhouette wassersteinCluster |
| A permutation or bootstrap test based on optimal transport maps. | wassersteinTest |