T4transport

We introduce T4transport, an R package designed as a computational toolkit for 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")

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Version

Install

install.packages('T4transport')

Monthly Downloads

211

Version

0.1.2

License

MIT + file LICENSE

Maintainer

Kisung You

Last Published

April 11th, 2023

Functions in T4transport (0.1.2)

gaussvis2d

Sampling from a Bivariate Gaussian Distribution for Visualization

sinkhorn

Wasserstein Distance by Entropic Regularization

imagebary15B

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

imagemed22Y

Wasserstein Median of Images by You et al. (2022)

imagebary14C

Barycenter of Images according to Cuturi & Doucet (2014)

histbary15B

Barycenter of Histograms by Benamou et al. (2015)

ipot

Wasserstein Distance by Inexact Proximal Point Method

swdist

Sliced Wasserstein Distance

histmed22Y

Wasserstein Median of Histograms by You et al. (2022)

histbary14C

Barycenter of Histograms by Cuturi & Doucet (2014)

wasserstein

Wasserstein Distance between Empirical Measures

gaussbary1d

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

bary14C

Barycenter by Cuturi & Doucet (2014)

digit3

MNIST Images of Digit 3

digits

MNIST Images of All Digits

bary15B

Barycenter by Benamou et al. (2015)

gaussmedpd

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

gaussbarypd

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

ecdfbary

Barycenter of Empirical CDFs

ecdfmed

Wasserstein Median of Empirical CDFs

gaussmed1d

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