multiSyncPy:  A Python Package for Assessing Multivariate Coordination Dynamics

Dan Hudson; Travis J. Wiltshire; Martin Atzmueller

doi:10.31234/osf.io/abquk

multiSyncPy: A Python Package for Assessing Multivariate Coordination Dynamics

Dan Hudson
, Travis J. Wiltshire
, Martin Atzmueller

Research output: Online publication or Non-textual form › Software

Abstract

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.

Original language	English
Media of output	Online
DOIs	https://doi.org/10.31234/osf.io/abquk
Publication status	Published - 28 Apr 2021

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https://pypi.org/project/multiSyncPy/Licence: GNU LGPL

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title = "multiSyncPy: A Python Package for Assessing Multivariate Coordination Dynamics",

abstract = "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.",

author = "Dan Hudson and Wiltshire, \{Travis J.\} and Martin Atzmueller",

year = "2021",

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language = "English",

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AU - Wiltshire, Travis J.

AU - Atzmueller, Martin

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N2 - 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.

AB - 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.

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DO - 10.31234/osf.io/abquk

M3 - Software

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multiSyncPy: A Python Package for Assessing Multivariate Coordination Dynamics

Abstract

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