plot_causality.pc_full_details

Visualizes the positive, negative and dark causality components over time

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_causality.pc_full_details function

<dl><dt>x</dt>
<dd>A pc_full_details object</dd>
<dt>type</dt>
<dd>The type of causality to plot ("total", "positive", "negative", or "dark")</dd>
<dt>...</dt>
<dd>Additional arguments passed to plotting functions</dd></dl>

Arguments

Plot Pattern Causality Time Series — plot_causality.pc_full_details

<dl>

<dt>x</dt>
<dd>A pc_full_details object</dd>


<dt>type</dt>
<dd>The type of causality to plot ("total", "positive", "negative", or "dark")</dd>


<dt>...</dt>
<dd>Additional arguments passed to plotting functions</dd>

</dl>

plot_causality.pc_full_details: Plot Pattern Causality Time Series

Description

Usage

Value

Arguments