Decorrelator
Analysing correlations between parameters whilst controlling for the effects of others.
(Fancy partial correlation)
Installation
create new environment
conda create -n NAME python=3.7
activate
source activate NAME
install high-performance libraries
conda install numpy mkl scipy
install correlator
pip install git+https://github.com/philastrophist/decorrelator.git
Use
Please see example.py for an example which uses nearly all functionality
There are two objects of interest: * decorrelator.LinearRelation * decorrelator.CorrelationModel
You may use them together as demonstrated in example.py or indivdually as shown in their home modules under if __name__ == "__main__"
1 maintainer
Metadata
1 maintainer
Release files for decorrelator 1.0.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
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| decorrelator-1.0.0.tar.gz | 9.5 kB | Without provenance | Details |
Built distribution (wheel)
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|---|---|---|---|---|
| decorrelator-1.0.0-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 20.8 kB
Release files / decorrelator-1.0.0.tar.gz
| Download URL | decorrelator-1.0.0.tar.gz |
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| Size | 9.5 kB |
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Release files / decorrelator-1.0.0-py2.py3-none-any.whl
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