Package: TwoSampleTest.HD
Title: A Two-Sample Test for the Equality of Distributions for
        High-Dimensional Data
Version: 1.2
Authors@R: c(
  person("Marta", "Cousido Rocha", email = "martacousido@uvigo.es", role = c("aut", "cre")),
  person("José Carlos", "Soage González", email = "jsoage@uvigo.es", role = "ctr"),
  person("Jacobo", "de Uña Álvarez", email = "jacobo@uvigo.es", role = c("aut", "ths")),
  person("Jeffrey", "D. Hart", email = "hart@stat.tamu.edu", role = "aut"))
Maintainer: Marta Cousido Rocha <martacousido@uvigo.es>
Description: 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.
Depends: R (>= 3.5.0)
License: GPL-2
Encoding: UTF-8
RoxygenNote: 7.2.3
NeedsCompilation: no
Packaged: 2023-02-27 07:10:23 UTC; mcousido
Author: Marta Cousido Rocha [aut, cre],
  José Carlos Soage González [ctr],
  Jacobo de Uña Álvarez [aut, ths],
  Jeffrey D. Hart [aut]
Repository: CRAN
Date/Publication: 2023-02-27 09:12:33 UTC
Built: R 4.6.0; ; 2026-04-25 22:58:17 UTC; unix
