Provides nonparametric tests for assessing whether possibly serially dependent univariate or multivariate observations have the same c.d.f. or not. In addition to tests focusing directly on the c.d.f., the package contains tests designed to be particularly sensitive to changes in the underlying copula, Spearman's rho or certain quantities that can be estimated using one-sample U-statistics of order two such as the variance, Gini's mean difference or Kendall's tau. The latest addition is a nonparametric test for detecting changes in the distribution of independent block maxima.
|Date of publication||2015-07-24 08:41:09|
|Maintainer||Ivan Kojadinovic <firstname.lastname@example.org>|
|License||GPL (>= 3) | file LICENCE|
|Package repository||View on CRAN|
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