Directed Dependence Coefficient
Average diameter & Maximum split of every partition of a given dendrog...
Clustering a set of variables using distance function based on multiva...
Cluster a set of variables using distance function based on predictive...
Estimate for T_bar(Y,X) based on function Codec & a sample of all / al...
Estimate for T(Y,X) based on function codec
Estimate for (Y,X) using codec function
Estimation for multivariate concordance measures
Estimate for T_bar(Y,X) based on dimension reduction principle
Estimate for T(Y,X) based on dimension reduction principle
Estimate for (Y,X) based on dimension reduction principle
Read a dendrogram from a list for hierarchical clustering result
Diameter of a class of variables based on different distance function
Computes the directed dependence coefficient.
distance function based on multivariate concordance measures
Distance Matrix Computation using distance function based on multivari...
Distance Matrix Computation using distance function based on T^q
distance function based on T
Multivariate feature ordering by conditional independence.
Markov product estimate from single (q=1) endogenuous and (p>=1) exoge...
Plot the trade-off of Adiam and Msplit
plotting a dendrogram with colored branches
Plot the Silhouette coefficient
Powerset without empty set
Silhouette coefficients given a dendrogram
Silhouette value for the i. variable given variable partition
Split of two classes of variables based on different distance function
Hierarchical variable clustering and partition.
Directed Dependence Coefficient (didec) is a measure of functional dependence. Multivariate Feature Ordering by Conditional Independence (MFOCI) is a variable selection algorithm based on didec. Hierarchical Variable Clustering (VarClustPartition) is a variable clustering method based on didec. For more information, see the paper by Ansari and Fuchs (2025, <doi:10.48550/arXiv.2212.01621>), and the paper by Fuchs and Wang (2024, <doi:10.1016/j.ijar.2024.109185>).