Codec.Tq.Perm

Estimate for T^q_bar(Y|X) based on function Codec &amp; a sample of all / all increasing / all decreasing permutations

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

Codec.Tq.Perm function

<dl><dt>X</dt>
<dd>a data frame for input vector X</dd>
<dt>Y</dt>
<dd>a data frame for output vector Y</dd>
<dt>method</dt>
<dd>permuatation methods: sample / increasing / decreasing / full</dd></dl>

Arguments

Estimate for T^q_bar(Y|X) based on function Codec &amp; a sample of all / all increasing / all decreasing permutations — Codec.Tq.Perm

<dl>

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


<dt>Y</dt>
<dd>a data frame for output vector Y</dd>


<dt>method</dt>
<dd>permuatation methods: sample / increasing / decreasing / full</dd>

</dl>

Codec.Tq.Perm: Estimate for T^q_bar(Y|X) based on function Codec & a sample of all / all increasing / all decreasing permutations

Description

Usage

Value

Arguments