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Easy-to-use Bayesian full and partial correlation estimator

Project description

PyPI License Build Status

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__"

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