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) for the general exposition to the study of computational optimal transport.


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install.packages("T4transport")

0.1.0 by Kisung You, 14 days ago


Browse source code at https://github.com/cran/T4transport


Authors: Kisung You [aut, cre]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports Rcpp, Rdpack, lpSolve, stats, utils

Suggests ggplot2

Linking to Rcpp, RcppArmadillo


See at CRAN