dot-wassersteinTestAsy: Asymptotic theory-based test using the 2-Wasserstein distance...

Description Usage Arguments Details Value References

Description

Two-sample test to check for differences between two distributions using the 2-Wasserstein distance: Implementation using a test based on asymptotic theory

Usage

1

Arguments

x

sample (vector) representing the distribution of condition A

y

sample (vector) representing the distribution of condition B

Details

This is the asymptotic version of wasserstein.test, for the semi-parametric procedure see .wassersteinTestSp.

Details concerning the testing procedure based on asymptotic theory can be found in Schefzik et al (2020).

Note that the asymptotic theory-based test should only be employed when the two samples x and y can be assumed to come from continuous distributions.

Value

A vector of 13, see Schefzik et al. (2020) for details:

References

Schefzik, R., Flesch, J., and Goncalves, A. (2020). waddR: Using the 2-Wasserstein distance to identify differences between distributions in two-sample testing, with application to single-cell RNA-sequencing data.


goncalves-lab/diffexpR documentation built on Oct. 26, 2021, 5:08 p.m.