Metadata-Version: 2.1
Name: RECLAC
Version: 1.0.0
Summary: A package to compute recurrence lacunarity and other box-counting-based recurrence quantifiers
Home-page: https://github.com/ToBraun/RECLAC
Author: Tobias Braun
Author-email: tobraun@pik-potsdam.de
License: UNKNOWN
Description: RECLAC Python
        ==============
        
        The RECLAC Python package provides functions to compute **recurrence lacunarity** as described in [[braun2021] (Open Source)](https://link.springer.com/article/10.1007/s11071-021-06457-5#article-info). Its functionality is very basic at the current stage and will probably be extended in the near future. It also offers a basic implementation for the computation of recurrence plots and the box-counting dimension.
        
        
        <img src="https://github.com/ToBraun/RECLAC/blob/main/icon.png" alt="drawing" width="750"/>
        
        Getting started
        ===============
        
        Install from [PyPi](https://pypi.org/project/RECLAC/) by simply typing
        
        `pip install RECLAC` 
        
        in your console.
        
        Requirements
        ====
        
        numpy >= 1.21\
        scipy >= 1.2.1
        
        
        
        Documentation
        =============
        
        I am currently working on a comprehensive documentation.
        
        
        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](https://link.springer.com/article/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](https://opensource.org/licenses/MIT).
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3.7
Classifier: License :: OSI Approved :: MIT License
Description-Content-Type: text/markdown
