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T4transport  

Tools for Computational Optimal Transport
View on CRAN: Click here


Download and install T4transport package within the R console
Install from CRAN:
install.packages("T4transport")

Install from Github:
library("remotes")
install_github("cran/T4transport")

Install by package version:
library("remotes")
install_version("T4transport", "0.1.2")



Attach the package and use:
library("T4transport")
Maintained by
Kisung You
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-10-09
Latest Update: 2023-04-11
Description:
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.
How to cite:
Kisung You (2020). T4transport: Tools for Computational Optimal Transport. R package version 0.1.2, https://cran.r-project.org/web/packages/T4transport. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.1.0 (2020-10-09 10:10), 0.1.1 (2022-09-03 23:40)
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