Compositional data analysis tools implemented in python.
Currently, 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 (or here).
Package | Tested version |
---|---|
NumPy | 1.15.4 |
Scipy | 1.2.0 |
Package | Tested version |
---|---|
matplotlib | 3.0.2 |
NiBabel | 2.2.1 |
Run this command in your command line:
pip install compoda
or as an alternative
- Clone this repository and change directory to:
cd /path/to/compoda
- Install the requirements by running the following command:
pip install -r requirements.txt
- Install compoda:
python setup.py install
Please use GitHub issues for questions, bug reports or feature requests.
The project is licensed under BSD-3-Clause.
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Aitchison, J. (1982). The Statistical Analysis of Compositional Data. Journal of the Royal Statistical Society, 44(2), 139โ177.
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Aitchison, J. (2002). A Concise Guide to Compositional Data Analysis. CDA Workshop Girona, 24, 73โ81.
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Pawlowsky-Glahn, V., Egozcue, J. J., & Tolosana-Delgado, R. (2015). Modelling and Analysis of Compositional Data. Chichester, UK: John Wiley & Sons, Ltd. http://doi.org/10.1002/9781119003144