.CB_make_cumulative_df
                        Returns a list of reverse cumulative margins of
                        a CB copula. The nth entry is thus the copula
                        of X1,...,Xn
.EACBC                  Calculates an empirical CB approximation with
                        adaptive bin sizes. This will be faster on data
                        with many ties.
.EACBC_nonzero          Returns non 0 entries of the EACBC
.ECBC                   Calculates the empirical checkerboard
                        approximation to some data.
.adaptive_masses        Returns the sizes of the adaptive bins used for
                        the adaptive ECBC for one vector.
.local_kernel_integral
                        Computes the D1-difference of two CB matrizes
                        on a local CB dimension
.random_CB              Creates a random CB copula of resolution
                        2^steps
.sample_CB              Generate a sample of some CB copula-
ECBC                    Compute empirical checkerboard copula in
                        arbitrary dimension
feature_selection       Variable selection using the qmd-dependence
                        values
qmd                     Quantification of Multivariate Dependence
qmdrank                 Equivalent to rank(x, ties.method = "max") but
                        not as stupidly slow
seq_until_changes       Returns a vector
zeta1                   Multivariate dependence measure
