R: Quantification of Multivariate Dependence

# Quantification of Multivariate Dependence

## Documentation for package ‘qmd’ version 1.1.3

- DESCRIPTION file

## Help Pages

.adaptive_masses | Returns the sizes of the adaptive bins used for the adaptive ECBC for one vector.
.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.
.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