sidoruvigo/TwoSampleTest.HD: A Two-Sample Test for the Equality of Distributions for High-Dimensional Data

For high-dimensional data whose main feature is a large number, p, of variables but a small sample size, the null hypothesis that the marginal distributions of p variables are the same for two groups is tested. We propose a test statistic motivated by the simple idea of comparing, for each of the p variables, the empirical characteristic functions computed from the two samples. If one rejects this global null hypothesis of no differences in distributions between the two groups, a set of permutation p-values is reported to identify which variables are not equally distributed in both groups.

Getting started

Package details

MaintainerMarta Cousido Rocha <[email protected]>
LicenseGPL-2
Version1.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("sidoruvigo/TwoSampleTest.HD")
sidoruvigo/TwoSampleTest.HD documentation built on Nov. 6, 2018, 12:39 a.m.