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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.

Version:0.1.5
Depends:R (≥ 2.10)
Imports:CVXR,Rcpp (≥ 1.0.5),Rdpack, stats, utils
LinkingTo:Rcpp,RcppArmadillo
Suggests:knitr,rmarkdown,ggplot2,mlbench
Published:2025-11-13
DOI:10.32614/CRAN.package.T4transport
Author:Kisung YouORCID iD [aut, cre]
Maintainer:Kisung You <kisung.you at outlook.com>
License:MIT + fileLICENSE
URL:https://www.kisungyou.com/T4transport/
NeedsCompilation:yes
Materials:README,NEWS
CRAN checks:T4transport results

Documentation:

Reference manual:T4transport.html ,T4transport.pdf
Vignettes:Computing the Wasserstein distance (source,R code)

Downloads:

Package source: T4transport_0.1.5.tar.gz
Windows binaries: r-devel:T4transport_0.1.5.zip, r-release:T4transport_0.1.5.zip, r-oldrel:T4transport_0.1.5.zip
macOS binaries: r-release (arm64):T4transport_0.1.5.tgz, r-oldrel (arm64):T4transport_0.1.5.tgz, r-release (x86_64):T4transport_0.1.5.tgz, r-oldrel (x86_64):T4transport_0.1.5.tgz
Old sources: T4transport archive

Reverse dependencies:

Reverse suggests:provenance

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=T4transportto link to this page.


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