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.
Package details |
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Maintainer | Marta Cousido Rocha <martacousido@uvigo.es> |
License | GPL-2 |
Version | 1.0 |
Package repository | View on GitHub |
Installation |
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