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.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://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:781190454c. Checks:OK: 2. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 11 2024 |
R-4.5-linux-x86_64 | OK | Dec 11 2024 |
Exports:bary14Cbary14Cdistbary15Bbary15Bdistecdfbaryecdfmedgaussbary1dgaussbarypdgaussmed1dgaussmedpdgaussvis2dhistbary14Chistbary15Bhistmed22Yimagebary14Cimagebary15Bimagemed22YipotipotDsinkhornsinkhornDswdistwassersteinwassersteinD
Dependencies:bitbit64cliCVXRECOSolveRgmplatticelpSolveMatrixosqpR6rbibutilsRcppRcppArmadilloRcppEigenRdpackRmpfrscs