dist.mat.T

Distance Matrix Computation using distance function based on T^q

internal

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>).

Yuping Wang

didec

Directed Dependence Coefficient

Sebastian Fuchs

Jonathan Ansari

dist.mat.T function

<dl><dt>X</dt>
<dd>a data frame for vector X</dd>
<dt>estim.method</dt>
<dd>An optional character string specifying a method for estimating the directed dependence coefficient.</dd>
<dt>mutual</dt>
<dd>use type B function (mutual perfect dependence) or not</dd></dl>

Arguments

Distance Matrix Computation using distance function based on T^q — dist.mat.T

<dl>

<dt>X</dt>
<dd>a data frame for vector X</dd>


<dt>estim.method</dt>
<dd>An optional character string specifying a method for estimating the directed dependence coefficient.</dd>


<dt>mutual</dt>
<dd>use type B function (mutual perfect dependence) or not</dd>

</dl>

dist.mat.T: Distance Matrix Computation using distance function based on T^q

Description

Usage

Value

Arguments