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: 0.1.0
Depends: R (≥ 2.10)
Imports: Rcpp (≥ 1.0.5), Rdpack, lpSolve, stats, utils
LinkingTo: Rcpp, RcppArmadillo
Suggests: ggplot2
Published: 2020-10-09
Author: Kisung You ORCID iD [aut, cre]
Maintainer: Kisung You <kyoustat at gmail.com>
License: MIT + file LICENSE
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: T4transport results


Reference manual: T4transport.pdf
Package source: T4transport_0.1.0.tar.gz
Windows binaries: r-devel: T4transport_0.1.0.zip, r-release: T4transport_0.1.0.zip, r-oldrel: T4transport_0.1.0.zip
macOS binaries: r-release: T4transport_0.1.0.tgz, r-oldrel: T4transport_0.1.0.tgz


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