Easy-to-use Bayesian full and partial correlation estimator
Analysing correlations between parameters whilst controlling for the effects of others.
(Fancy partial correlation)
- create new environment
- conda create -n NAME python=3.7
- source activate NAME
- install high-performance libraries
- conda install numpy mkl scipy
- install correlator
- pip install git+https://github.com/philastrophist/decorrelator.git
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__"
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