Package: T4transport 0.1.2
T4transport: Tools for Computational Optimal Transport
Transport theory has seen much success in many fields of statistics and machine learning. We provide a variety of algorithms to compute Wasserstein distance, barycenter, and others. See Peyré and Cuturi (2019) <doi:10.1561/2200000073> for the general exposition to the study of computational optimal transport.
Authors:
T4transport_0.1.2.tar.gz
T4transport_0.1.2.zip(r-4.5)T4transport_0.1.2.zip(r-4.4)T4transport_0.1.2.zip(r-4.3)
T4transport_0.1.2.tgz(r-4.4-x86_64)T4transport_0.1.2.tgz(r-4.4-arm64)T4transport_0.1.2.tgz(r-4.3-x86_64)T4transport_0.1.2.tgz(r-4.3-arm64)
T4transport_0.1.2.tar.gz(r-4.5-noble)T4transport_0.1.2.tar.gz(r-4.4-noble)
T4transport_0.1.2.tgz(r-4.4-emscripten)T4transport_0.1.2.tgz(r-4.3-emscripten)
T4transport.pdf |T4transport.html✨
T4transport/json (API)
NEWS
| # Install 'T4transport' in R: |
| install.packages('T4transport', repos = c('https://kisungyou.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/kisungyou/t4transport/issues
Last updated 2 years agofrom:50165aaf94. Checks:OK: 9. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 06 2024 |
| R-4.5-win-x86_64 | OK | Nov 06 2024 |
| R-4.5-linux-x86_64 | OK | Nov 06 2024 |
| R-4.4-win-x86_64 | OK | Nov 06 2024 |
| R-4.4-mac-x86_64 | OK | Nov 06 2024 |
| R-4.4-mac-aarch64 | OK | Nov 06 2024 |
| R-4.3-win-x86_64 | OK | Nov 06 2024 |
| R-4.3-mac-x86_64 | OK | Nov 06 2024 |
| R-4.3-mac-aarch64 | OK | Nov 06 2024 |
Exports:bary14Cbary14Cdistbary15Bbary15Bdistecdfbaryecdfmedgaussbary1dgaussbarypdgaussmed1dgaussmedpdgaussvis2dhistbary14Chistbary15Bhistmed22Yimagebary14Cimagebary15Bimagemed22YipotipotDsinkhornsinkhornDswdistwassersteinwassersteinD
Dependencies:bitbit64clarabelCVXRECOSolveRgmplatticelpSolveMatrixosqpR6rbibutilsRcppRcppArmadilloRcppEigenRdpackRmpfrscs
