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: 0.1.2
Depends: R (≥ 2.10)
Imports: CVXR, Rcpp (≥ 1.0.5), Rdpack, lpSolve, stats, utils
LinkingTo: Rcpp, RcppArmadillo
Suggests: ggplot2
Published: 2023-04-11
DOI: 10.32614/CRAN.package.T4transport
Author: Kisung You ORCID iD [aut, cre]
Maintainer: Kisung You <kisungyou at outlook.com>
License: MIT + file LICENSE
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: T4transport results


Reference manual: T4transport.pdf


Package source: T4transport_0.1.2.tar.gz
Windows binaries: r-devel: T4transport_0.1.2.zip, r-release: T4transport_0.1.2.zip, r-oldrel: T4transport_0.1.2.zip
macOS binaries: r-release (arm64): T4transport_0.1.2.tgz, r-oldrel (arm64): T4transport_0.1.2.tgz, r-release (x86_64): T4transport_0.1.2.tgz, r-oldrel (x86_64): T4transport_0.1.2.tgz
Old sources: T4transport archive

Reverse dependencies:

Reverse suggests: provenance


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