[aut,
cre]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.
| Version: | 0.1.0 |
| Depends: | R (≥ 2.10) |
| Imports: | Rcpp (≥ 1.0.5), Rdpack, lpSolve, stats, utils |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | ggplot2 |
| Published: | 2020-10-09 |
| Author: | Kisung You [aut,
cre] |
| Maintainer: | Kisung You <kyoustat at gmail.com> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | yes |
| Materials: | README NEWS |
| CRAN checks: | T4transport results |
| Reference manual: | T4transport.pdf |
| Package source: | T4transport_0.1.0.tar.gz |
| Windows binaries: | r-devel: T4transport_0.1.0.zip, r-release: T4transport_0.1.0.zip, r-oldrel: T4transport_0.1.0.zip |
| macOS binaries: | r-release: T4transport_0.1.0.tgz, r-oldrel: T4transport_0.1.0.tgz |
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