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Tigramite is a time series analysis python module for causal discovery. **** Interested in doing a Postdoc/PhD applying machine learning to societally relevant scientific problems at the new DLR Data Science Institute in Germany? Contact me at jakobrunge@posteo.de! ****

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TIGRAMITE – Causal discovery for time series datasets

Version 3.0 described in http://arxiv.org/abs/1702.07007

(Python Package)

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General Notes

TIGRAMITE is a time series analysis python module. With flexibly adaptable scripts it allows to reconstruct graphical models (conditional independence graphs) from discrete or continuously-valued time series based on a causal discovery algorithm and create high-quality plots of the results.

User Agreement

By downloading TIGRAMITE you agree with the following points: The toolbox is provided without any warranty or conditions of any kind. We assume no responsibility for errors or omissions in the results and interpretations following from application the toolbox.

You commit to cite TIGRAMITE in your reports or publications if used.

License

Copyright (C) 2012-2017 Jakob Runge

mpi4py wrapper module "mpi.py" Copyright (C) 2012 Jobst Heitzig

See license.txt for full text.

TIGRAMITE is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 3 of the License, or (at your option) any later version. TIGRAMITE is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

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Tigramite is a time series analysis python module for causal discovery. **** Interested in doing a Postdoc/PhD applying machine learning to societally relevant scientific problems at the new DLR Data Science Institute in Germany? Contact me at jakobrunge@posteo.de! ****

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