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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: 0.1.2
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

Documentation:

Reference manual: T4transport.pdf

Downloads:

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=T4transport to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.