RECLAC Python

The RECLAC Python package provides functions to compute recurrence lacunarity as described in [braun2021] (Open Source). Its functionality is very basic at the current stage and will probably be extended in the near future. It also offers a basic implementation of traditional recurrence quantification measures and computation of box-counting dimensions.

<img src="https://github.com/ToBraun/RECLAC/blob/main/icon.png" alt="drawing" width="750"/>

Getting started

Install from PyPi by simply typing

pip install RECLAC

in your console.

Requirements

numpy >= 1.21\ scipy >= 1.2.1

Documentation

A tutorial for getting started is provided as a jupyter notebook (tutorial.ipynb).

Citing and reference

If you would like to use the provided tools in your research, please cite

Braun, T., Unni, V.R., Sujith, R.I. et al. Detection of dynamical regime transitions with lacunarity as a multiscale recurrence quantification measure. Nonlinear Dyn 104, 3955–3973 (2021). https://doi.org/10.1007/s11071-021-06457-5

or as BiBTeX-entry:

@article{braun2021detection,\ title={Detection of dynamical regime transitions with lacunarity as a multiscale recurrence quantification measure},\ author={Braun, Tobias and Unni, Vishnu R and Sujith, RI and Kurths, Juergen and Marwan, Norbert},\ journal={Nonlinear Dynamics},\ pages={1--19},\ year={2021},\ publisher={Springer}\

Licence

This is program is free software and runs under MIT Licence.