.wassersteinTestAsy {waddR}R Documentation

.wassersteinTestAsy

Description

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

Usage

.wassersteinTestAsy(x, y)

Arguments

x

univariate sample (vector) representing the distribution of condition A

y

univariate 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 and Goncalves (2019).

Value

A vector concerning the testing results, precisely (see Schefzik and Goncalves (2019) for details)

References

Schefzik, R. and Goncalves, A. (2019).


[Package waddR version 1.2.0 Index]