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T4transport
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]
[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.
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imports, suggests or enhances
Complete documentation for T4transport
Functions, R codes and Examples using
the T4transport R package
Some associated functions: bary14C . bary15B . digit3 . digits . ecdfbary . ecdfmed . gaussbary1d . gaussbarypd . gaussmed1d . gaussmedpd . gaussvis2d . histbary14C . histbary15B . histmed22Y . imagebary14C . imagebary15B . imagemed22Y . ipot . sinkhorn . wasserstein .
Some associated R codes: RcppExports.R . auxiliary_ecdf.R . auxiliary_gaussian.R . auxiliary_histograms.R . auxiliary_inputs.R . bary14C.R . bary15B.R . data_digit3.R . data_digits.R . distance_ipot.R . distance_sinkhorn.R . distance_wasserstein.R . ecdf_bary.R . ecdf_median.R . gauss_bary1d.R . gauss_barypd.R . gauss_median1d.R . gauss_medianpd.R . hist_bary14C.R . hist_bary15B.R . hist_median22Y.R . image_bary14C.R . image_bary15B.R . image_median22Y.R . other_gaussvis2d.R . package-T4transport.R . zzz.R . Full T4transport package functions and examples
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