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Status](https://travis-ci.org/ofgulban/compoda.svg?branch=master)](https://travis-ci.org/ofgulban/compoda) [![Build status](https://ci.appveyor.com/api/projects/status/plrtbnjvf09h38xn?svg=true)](https://ci.appveyor.com/project/ofgulban/compoda)\n [![codecov](https://codecov.io/gh/ofgulban/compoda/branch/master/graph/badge.svg)](https://codecov.io/gh/ofgulban/compoda)\n\n\n\u003cimg src=\"/visuals/logo.png\" width=200 align=\"right\" /\u003e\n\n# Compoda\n\nCompositional data analysis tools implemented in python.\n\nCurrently, this library is primarily being developed for (but not limited to) magnetic resonance images with multiple contrasts. For further details, please see my paper **[here](https://www.ajs.or.at/index.php/ajs/article/view/743)** (or [here](https://arxiv.org/abs/1705.03457)).\n\n## Dependencies\n\n**[Python 3](https://www.python.org/)**\n\n| Package                                                 | Tested version |\n|---------------------------------------------------------|----------------|\n| [NumPy](http://www.numpy.org/)                          | 1.15.4         |\n| [Scipy](https://www.scipy.org/)                         | 1.2.0          |\n\n#### Additionally required for example scripts:\n\n| Package                                                 | Tested version |\n|---------------------------------------------------------|----------------|\n| [matplotlib](http://matplotlib.org/)                    | 3.0.2          |\n| [NiBabel](http://nipy.org/nibabel/)                     | 2.2.1          |\n\n\n## Installation\n\nRun this command in your command line:\n\n```bash\npip install compoda\n```\n\nor as an alternative\n- Clone this repository and change directory to:\n```bash\ncd /path/to/compoda\n```\n- Install the requirements by running the following command:\n```bash\npip install -r requirements.txt\n```\n- Install compoda:\n```bash\npython setup.py install\n```\n\n## Support\n\nPlease use [GitHub issues](https://github.com/ofgulban/compoda/issues) for questions, bug reports or feature requests.\n\n## License\n\nThe project is licensed under [BSD-3-Clause](https://opensource.org/licenses/BSD-3-Clause).\n\n## References\n\n* [Compositional data analysis in a nutshell.](http://www.sediment.uni-goettingen.de/staff/tolosana/extra/CoDaNutshell.pdf)\n\n* Aitchison, J. (1982). The Statistical Analysis of Compositional Data. Journal of the Royal Statistical Society, 44(2), 139–177.\n\n* Aitchison, J. (2002). A Concise Guide to Compositional Data Analysis. CDA Workshop Girona, 24, 73–81.\n\n* Pawlowsky-Glahn, V., Egozcue, J. J., \u0026 Tolosana-Delgado, R. (2015). Modelling and Analysis of Compositional Data. Chichester, UK: John Wiley \u0026 Sons, Ltd. \u003chttp://doi.org/10.1002/9781119003144\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fofgulban%2Fcompoda","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fofgulban%2Fcompoda","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fofgulban%2Fcompoda/lists"}