Title: Some nonparametric tests for change-point detection in
Description: Provides nonparametric tests for assessing whether possibly serially dependent (multivariate) continuous observations have the same c.d.f. or not. In addition to tests focusing directly on the (multivariate) c.d.f., the package contains tests designed to be particularly sensitive to changes in the underlying copula.

Description: Provides nonparametric tests for assessing whether possibly serially dependent (multivariate) observations have the same c.d.f. or not. In addition to tests focusing directly on the (multivariate) 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.

Title: Some Nonparametric CUSUM Tests for Change-Point Detection in
Description: Provides nonparametric CUSUM tests for detecting changes
in possibly serially dependent univariate or multivariate
observations. Tests sensitive to changes in the expectation, the
variance, the covariance, the autocovariance, the distribution
function, Spearman's rho, Kendall's tau, Gini's mean difference, and
the copula are provided, as well as a test for detecting changes in
the distribution of independent block maxima (with environmental
studies in mind). The latest additions are a test sensitive to
changes in the autocopula and a combined test of stationarity
sensitive to changes in the distribution function and the

Title: Some Nonparametric Tests for Change-Point Detection in Possibly
Description: 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.