pc_cv

Creates a pattern causality cross-validation object containing results
from repeated sampling analysis.
This function constructs an object of class <code>pc_cv</code> to store the results
of cross-validation analysis.

A comprehensive package for detecting and analyzing causal relationships in complex systems using pattern-based approaches. Key features include state space reconstruction, pattern identification, and causality strength evaluation.

Hui Wang

patterncausality

Pattern Causality Algorithm

Stavros Stavroglou

Athanasios Pantelous

pc_cv function

<dl><dt>samples</dt>
<dd>Numeric vector of sample sizes used.</dd>
<dt>results</dt>
<dd>Matrix containing causality results for each sample.</dd>
<dt>parameters</dt>
<dd>List of analysis parameters.</dd></dl>

Arguments

Pattern Causality Cross-Validation Object — pc_cv

<dl>

<dt>samples</dt>
<dd>Numeric vector of sample sizes used.</dd>


<dt>results</dt>
<dd>Matrix containing causality results for each sample.</dd>


<dt>parameters</dt>
<dd>List of analysis parameters.</dd>

</dl>

pc_cv: Pattern Causality Cross-Validation Object

Description

Usage

Value

Arguments