clust.Tq

Cluster a set of variables using distance function based on predictive measure

internal

Directed Dependence Coefficient (didec) is a measure of directed 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 (2024, <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

clust.Tq function

<dl><dt>X</dt>
<dd>a data frame for a set of variables X</dd>
<dt>perm</dt>
<dd>T^q or T^q_bar</dd>
<dt>perm.method</dt>
<dd>permutation methods: sample / increasing / decreasing</dd>
<dt>mutual</dt>
<dd>type B function or not</dd></dl>

Arguments

Cluster a set of variables using distance function based on predictive measure — clust.Tq

<dl>

<dt>X</dt>
<dd>a data frame for a set of variables X</dd>


<dt>perm</dt>
<dd>T^q or T^q_bar</dd>


<dt>perm.method</dt>
<dd>permutation methods: sample / increasing / decreasing</dd>


<dt>mutual</dt>
<dd>type B function or not</dd>

</dl>

clust.Tq: Cluster a set of variables using distance function based on predictive measure

Description

Usage

Value

Arguments