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.

Tools for Computational Optimal Transport in R

We introduce T4transport, an R package designed as a computational toolkit that compiles a collection of algorithms in the field of optimal transport.

Installation

• Option 1 : released version from CRAN.

install.packages("T4transport")

• Option 2 : development version from GitHub.

# install.packages("devtools")
devtools::install_github("kisungyou/T4transport")