Metadata-Version: 2.1
Name: mFractal
Version: 0.0.1a1
Summary: UNKNOWN
Home-page: https://github.com/lucasfr/mFractal
Author: Lucas G. S. França, Yujiang Wang, José G V Miranda
Author-email: lucas.franca@kcl.ac.uk
License: UNKNOWN
Description: # mFractal
        
        [![pytest](https://github.com/lucasfr/mFractal/actions/workflows/python-package.yml/badge.svg)](https://github.com/lucasfr/mFractal/actions/workflows/python-package.yml)
        [![codecov](https://codecov.io/gh/lucasfr/mFractal/branch/main/graph/badge.svg?token=EB7Z9AWZVN)](https://codecov.io/gh/lucasfr/mFractal)
        ![GitHub](https://img.shields.io/github/license/lucasfr/mFractal)
        ![PyVers](https://img.shields.io/badge/Python-v3.6_|_v3.7_|_v3.8_|_v3.9-blue)
        
        This is a development version of a module for multifractal analyses in Python. It already includes a version of the Chhabra-Jensen method.
        
        :warning: Please, use the following article for references of the Chhabra-Jensen function:
        
        França, L.G.S., Miranda, J.G.V., Leite, M., Sharma, N.K., Walker, M.C., Lemieux, L. and Wang, Y., 2018. [Fractal and Multifractal Properties of Electrographic Recordings of Human Brain Activity: Towards its Use as a Signal Feature for Machine Learning in Clinical Applications](https://www.frontiersin.org/articles/10.3389/fphys.2018.01767/). Frontiers in Physiology, 9, p.1767. DOI: 10.3389/fphys.2018.01767
        
        The code was developed based on the method described in:
        
        Chhabra, A. & Jensen, R., 1989. [Direct determination of the f(α) singularity spectrum](http://link.aps.org/doi/10.1103/PhysRevA.40.5284). Physical Review Letters, 62(12), pp.1327–1330.
        
        ## LICENSE
        
        This software is licensed under an MIT License.
        
        Copyright (c) 2021 [Lucas G S França](https://www.lfranca.uk/), [Yujiang Wang](http://xaphire.de/), José G V Miranda.
        
        Permission is hereby granted, free of charge, to any person obtaining a copy
        of this software and associated documentation files (the "Software"), to deal
        in the Software without restriction, including without limitation the rights
        to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
        copies of the Software, and to permit persons to whom the Software is
        furnished to do so, subject to the following conditions:
        
        The above copyright notice and this permission notice shall be included in all
        copies or substantial portions of the Software.
        
        THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
        IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
        FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
        AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
        LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
        OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
        SOFTWARE.
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
