A Two-Sample Test for the Equality of Distributions for High-Dimensional Data R package TwoSampleTest.HD version 1.2 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. Software Depends: R (>= 3.5.0) Marta Cousido Rocha <martacousido@uvigo.es> Comprehensive R Archive Network (CRAN) Marta Cousido Rocha [aut, cre], José Carlos Soage González [ctr], Jacobo de Uña Álvarez [aut, ths], Jeffrey D. Hart [aut] GPL-2 2023-02-27 application/tgz https://CRAN.R-project.org/package=TwoSampleTest.HD doi:10.32614/CRAN.package.TwoSampleTest.HD