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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: | 1.2 |
| Depends: | R (≥ 3.5.0) |
| Published: | 2023-02-27 |
| DOI: | 10.32614/CRAN.package.TwoSampleTest.HD |
| 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 |
| Reference manual: | TwoSampleTest.HD.pdf |
| Package source: | TwoSampleTest.HD_1.2.tar.gz |
| Windows binaries: | r-devel: TwoSampleTest.HD_1.2.zip, r-release: TwoSampleTest.HD_1.2.zip, r-oldrel: TwoSampleTest.HD_1.2.zip |
| macOS binaries: | r-release (arm64): TwoSampleTest.HD_1.2.tgz, r-oldrel (arm64): TwoSampleTest.HD_1.2.tgz, r-release (x86_64): TwoSampleTest.HD_1.2.tgz, r-oldrel (x86_64): TwoSampleTest.HD_1.2.tgz |
| Old sources: | TwoSampleTest.HD archive |
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