Package: T4transport 0.1.2
Kisung You
T4transport: 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) <doi:10.1561/2200000073> for the general exposition to the study of computational optimal transport.
Authors:
T4transport_0.1.2.tar.gz
T4transport_0.1.2.tar.gz(r-4.5-noble)T4transport_0.1.2.tar.gz(r-4.4-noble)
T4transport_0.1.2.tgz(r-4.4-emscripten)T4transport_0.1.2.tgz(r-4.3-emscripten)
T4transport.pdf |T4transport.html✨
T4transport/json (API)
NEWS
| # Install 'T4transport' in R: |
| install.packages('T4transport', repos = 'https://cloud.r-project.org') |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:781190454c. Checks:3 OK. Indexed: no.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 11 2025 |
| R-4.5-linux-x86_64 | OK | Mar 11 2025 |
| R-4.4-linux-x86_64 | OK | Mar 11 2025 |
Exports:bary14Cbary14Cdistbary15Bbary15Bdistecdfbaryecdfmedgaussbary1dgaussbarypdgaussmed1dgaussmedpdgaussvis2dhistbary14Chistbary15Bhistmed22Yimagebary14Cimagebary15Bimagemed22YipotipotDsinkhornsinkhornDswdistwassersteinwassersteinD
Dependencies:bitbit64cliCVXRECOSolveRgmplatticelpSolveMatrixosqpR6rbibutilsRcppRcppArmadilloRcppEigenRdpackRmpfrscs
Citation
To cite package ‘T4transport’ in publications use:
You K (2023). T4transport: Tools for Computational Optimal Transport. R package version 0.1.2, https://CRAN.R-project.org/package=T4transport.
Corresponding BibTeX entry:
@Manual{,
title = {T4transport: Tools for Computational Optimal Transport},
author = {Kisung You},
year = {2023},
note = {R package version 0.1.2},
url = {https://CRAN.R-project.org/package=T4transport},
}
Readme and manuals
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")