For highdimensional 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 pvalues is reported to identify which variables are not equally distributed in both groups.
Package details 


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@uvigo.es> 
License  GPL2 
Version  1.0 
Package repository  View on CRAN 
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