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.
| Version: |
1.1 |
| Depends: |
R (≥ 3.5.0) |
| Published: |
2022-04-09 |
| Author: |
Marta Cousido Rocha [aut, cre],
José Carlos Soage González [ctr],
Jacobo de Uña Álvarez [aut, ths],
Jeffrey D. Hart [aut] |
| Maintainer: |
Marta Cousido Rocha <martacousido at uvigo.es> |
| License: |
GPL-2 |
| NeedsCompilation: |
no |
| CRAN checks: |
TwoSampleTest.HD results |
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