IntLevPy 0.0.5

A Python toolkit for simulating intermittent processes and Levy flights.

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• Simulation: Generate synthetic intermittent and Lévy flight trajectories.
• Moments Calculation: Compute theoretical and empirical moments of trajectories.
• Optimization: Fit model parameters to empirical data using optimization techniques.
• Classification: Differentiate between intermittent and Lévy processes using statistical methods.

For detailed documentation and examples, visit the IntLevPy Documentation.

Installation

Install IntLevPy directly from PyPI:

pip install IntLevPy

Usage

To use IntLevPy, import the relevant modules and functions in your Python script or notebook. The package provides functions for simulating processes, computing moments, performing optimizations, and classifying trajectories.

Applying to Real-Life Data

IntLevPy can be applied to real-life datasets, such as eye-tracking data or financial time series, for classification and analysis using the provided statistical methods.

An example notebook demonstrating the usage of an eye-tracking dataset can be found in the Example Notebook.

Model

Figure: Schematic representation of the intermittent Lévy process model.

Contact

For questions or inquiries:

• Shailendra Bhandari
  • Email: [e-mail]
• Pedro Lencastre
  • Email: [e-mail]

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PyPI Package: IntLevPy on PyPI

Documentation: IntLevPy Documentation

License: This package is licensed under the MIT License.

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Contributors: For a detailed list of contributors, visit the Contributors Page.

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For a detailed list of contributors, visit: Contributors Page.