plot.pc_cv

Visualizes the pattern causality cross-validation results.
This function generates a line plot showing the causality strengths
for different sample sizes.

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

plot.pc_cv function

<dl><dt>x</dt>
<dd>A <code>pc_cv</code> object.</dd>
<dt>fr</dt>
<dd>Boolean for frame display.</dd>
<dt>separate</dt>
<dd>Boolean for separate plots.</dd>
<dt>...</dt>
<dd>Additional arguments passed to the <code>plot</code> function.</dd></dl>

Arguments

Plot Pattern Causality Cross Validation Results — plot.pc_cv

<dl>

<dt>x</dt>
<dd>A <code>pc_cv</code> object.</dd>


<dt>fr</dt>
<dd>Boolean for frame display.</dd>


<dt>separate</dt>
<dd>Boolean for separate plots.</dd>


<dt>...</dt>
<dd>Additional arguments passed to the <code>plot</code> function.</dd>

</dl>

plot.pc_cv: Plot Pattern Causality Cross Validation Results

Description

Usage

Value

Arguments

Examples