Learn R Programming

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")

Copy Link

Version

Install

install.packages('T4transport')

Monthly Downloads

488

Version

0.1.5

License

MIT + file LICENSE

Maintainer

Kisung You

Last Published

November 13th, 2025

Functions in T4transport (0.1.5)

Procrustes-Wasserstein Barycenter

Free-Support Barycenter by von Lindheim (2023)

Barycenter of Histograms by Cuturi and Doucet (2014)

Wasserstein Median of Gaussian Distributions in \(\mathbb{R}^p\)

Wasserstein Distance via Inexact Proximal Point Method

Barycenter of Images according to Cuturi & Doucet (2014)

Barycenter of Histograms by Benamou et al. (2015)

Procrustes-Wasserstein Distance

Sampling from a Bivariate Gaussian Distribution for Visualization

Barycenter of Images according to Benamou et al. (2015)

Wasserstein Distance via Entropic Regularization and Sinkhorn Algorithm

Wasserstein Distance Estimation with Boostrapping

Free-Support Barycenter by Riemannian gradient descent

Sliced Wasserstein Distance

Free-Support Median by IRLS

Free-Support Median by Particle-Flow Algorithm

Wasserstein Distance via Linear Programming

MNIST Images of Digit 3

Compute the fiedler vector of a point cloud

Barycenter of Gaussian Distributions in \(\mathbb{R}\)

Wasserstein Median of Gaussian Distributions in \(\mathbb{R}\)

Barycenter of Gaussian Distributions in \(\mathbb{R}^p\)

MNIST Images of All Digits

Fixed-Support Barycenter by Benamou et al. (2015)

Fixed-Support Barycenter by Cuturi & Doucet (2014)

Wasserstein Median of Empirical CDFs

Barycenter of Empirical CDFs