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) for the general exposition to the study of computational optimal transport.
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0.1.0 by Kisung You, a year ago
Browse source code at https://github.com/cran/T4transport
Authors: Kisung You [aut, cre]
Documentation: PDF Manual
MIT + file LICENSE license
Imports Rcpp, Rdpack, lpSolve, stats, utils
Suggests ggplot2
Linking to Rcpp, RcppArmadillo
See at CRAN