compare_trajectories

Computes metrics comparing simulated trajectories to observed data.

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

compare_trajectories function

<dl><dt>simulation</dt>
<dd>Trajectory simulation object.</dd>
<dt>observed_data</dt>
<dd>Data frame with observed values.</dd>
<dt>time_col</dt>
<dd>Name of time column.</dd>
<dt>var_col</dt>
<dd>Name of variable column to compare.</dd></dl>

Arguments

Compare Simulated and Observed Trajectories — compare_trajectories

<dl>

<dt>simulation</dt>
<dd>Trajectory simulation object.</dd>


<dt>observed_data</dt>
<dd>Data frame with observed values.</dd>


<dt>time_col</dt>
<dd>Name of time column.</dd>


<dt>var_col</dt>
<dd>Name of variable column to compare.</dd>

</dl>

compare_trajectories: Compare Simulated and Observed Trajectories

Description

Usage

Value

Arguments