transport_options: Available Wasserstein Distance Methods
In WpProj: Linear p-Wasserstein Projections
transport_options R Documentation
Available Wasserstein Distance Methods
Description
Available Wasserstein Distance Methods
Usage
transport_options()
Details
This function features several methods of calculating approximate optimal transport methods in addition to the exact method. The first is the "sinkhorn" method of Cuturi (2013). The second is the "greenkhorn" method of Altschuler et al. (2017). The third is the Hilbert sorting method of Bernton et al (2017). Then there are two novel approximation methods based on the univariate ranks of each covariate to obtain the average rank "rank", and a method based on the univariate distances for each covariate "univariate.approximation.pwr"
Value
A character vector of available methods
Examples
transport_options()
WpProj documentation built on May 29, 2024, 7:55 a.m.
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| transport_options | R Documentation |
Available Wasserstein Distance Methods
Description
Available Wasserstein Distance Methods
Usage
transport_options()
Details
This function features several methods of calculating approximate optimal transport methods in addition to the exact method. The first is the "sinkhorn" method of Cuturi (2013). The second is the "greenkhorn" method of Altschuler et al. (2017). The third is the Hilbert sorting method of Bernton et al (2017). Then there are two novel approximation methods based on the univariate ranks of each covariate to obtain the average rank "rank", and a method based on the univariate distances for each covariate "univariate.approximation.pwr"
Value
A character vector of available methods
Examples
transport_options()
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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