Metadata-Version: 2.1
Name: multiSyncPy
Version: 0.0.1
Summary: Functions to quantify multivariate synchrony
Home-page: https://github.com/cslab-hub/multiSyncPy
Author: Dan Hudson
Author-email: daniel.dominic.hudson@uni-osnabrueck.de
License: GNU LGPL
Description: # multiSyncPy
        multiSyncPy is a Python package for quantifying multivariate synchrony. Our package supports the burgeoning field of research into synchrony, making accessible a set of methods for studying group-level rather than dyadic constructs of synchrony and/or coordination. We offer a range of metrics for estimating mulivariate synchrony based on a collection of those used in recent literature.
        
        The main methods of this package are functions to calculate:
        
         * symbolic entropy, 
         * multidimensional recurrence quantification, 
         * coherence, 
         * the cluster-phase 'Rho' metric, and 
         * a statistical test based on the Kuramoto order parameter
        
        We also include functions for two surrogation techniques to compare the observed coordination dynamics with chance levels.
        
        multiSyncPy is freely available under the LGPL license. The source code is maintained at <https://github.com/cslab-hub/multiSyncPy>, which also includes examples of usage of the package. 
        
        Further details of the package and case studies of its use on real-world data are described in our paper *multiSyncPy: A Python Package for Assessing Multivariate Coordination Dynamics*, available as a pre-print here: <https://psyarxiv.com/abquk/>. Please cite this paper if you use multiSyncPy in your research. Example citation (APA style):
        
        Hudson, D., Wiltshire, T. J., & Atzmueller, M. (2021, April 28). multiSyncPy: A Python Package for Assessing Multivariate Coordination Dynamics. https://doi.org/10.31234/osf.io/abquk
        
Platform: UNKNOWN
Classifier: License :: OSI Approved :: GNU Library or Lesser General Public License (LGPL)
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Description-Content-Type: text/markdown
