plot_residual_diagnostics_panel

Creates a multi-panel diagnostic plot for residual analysis.

A comprehensive toolkit for discovering differential and difference
equations from empirical time series data using symbolic regression. The package
implements a complete workflow from data preprocessing (including Total Variation
Regularized differentiation for noisy economic data), visual exploration of
dynamical structure, and symbolic equation discovery via genetic algorithms.
It leverages a high-performance 'Julia' backend ('SymbolicRegression.jl') to provide
industrial-grade robustness, physics-informed constraints, and rigorous
out-of-sample validation. Designed for economists, physicists, and researchers
studying dynamical systems from observational data.

José Mauricio Gómez Julián

EmpiricalDynamics

Empirical Discovery of Differential Equations from Time Series
Data

plot_residual_diagnostics_panel function

<dl><dt>x</dt>
<dd>Object of class residual_diagnostics</dd>
<dt>...</dt>
<dd>Additional arguments passed to plotting functions</dd></dl>

Arguments

Plot Residual Diagnostics Panel — plot_residual_diagnostics_panel

<dl>

<dt>x</dt>
<dd>Object of class residual_diagnostics</dd>


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

</dl>

plot_residual_diagnostics_panel: Plot Residual Diagnostics Panel

Description

Usage

Value

Arguments