Skip to main content

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__"

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

decorrelator-1.0.0.tar.gz (9.5 kB view hashes)

Uploaded Source

Built Distribution

decorrelator-1.0.0-py2.py3-none-any.whl (11.3 kB view hashes)

Uploaded Python 2 Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page