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: | 0.1.3 | 
| Depends: | R (≥ 2.10) | 
| Imports: | CVXR, Rcpp (≥ 1.0.5), Rdpack, lpSolve, stats, utils | 
| LinkingTo: | Rcpp, RcppArmadillo, BH | 
| Suggests: | ggplot2 | 
| Published: | 2025-05-29 | 
| DOI: | 10.32614/CRAN.package.T4transport | 
| Author: | Kisung You | 
| Maintainer: | Kisung You <kisung.you at outlook.com> | 
| License: | MIT + file LICENSE | 
| URL: | https://www.kisungyou.com/T4transport/ | 
| NeedsCompilation: | yes | 
| Materials: | README, NEWS | 
| CRAN checks: | T4transport results | 
| Reference manual: | T4transport.html , T4transport.pdf | 
| Package source: | T4transport_0.1.3.tar.gz | 
| Windows binaries: | r-devel: T4transport_0.1.3.zip, r-release: T4transport_0.1.3.zip, r-oldrel: T4transport_0.1.3.zip | 
| macOS binaries: | r-release (arm64): T4transport_0.1.3.tgz, r-oldrel (arm64): T4transport_0.1.3.tgz, r-release (x86_64): T4transport_0.1.3.tgz, r-oldrel (x86_64): T4transport_0.1.3.tgz | 
| Old sources: | T4transport archive | 
| Reverse suggests: | provenance | 
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