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Efficient implmenetations of instantiations of the Trinity of Covariation.

Project description

ConAction

Instantiations of the Trinity of Covariation

Project Description

The ConAction library provides mathematical functions that are inspired from the metaphor of the Trinity of Covariation as part of the MSc thesis of Galen Seilis.

Supervisory Committee Members

The code in this repository is intended to support researchers analyzing multivariate data.

The thesis provides an extensive background reading for this package, and can be found at (link needed).

Installation

ConAction is available through PyPi, and can be installed via pip using

pip install conaction

or

pip3 install conaction

Example Usage

from conaction import estimators
import numpy as np

X = np.random.normal(size=1000).reshape((100,10)) # Get a 100 x 10 data table

estimators.pearson_correlation(X) # Compute the 10-linear Pearson correlation coefficient

Documentation

Build documentation locally:

cd /path/to/conaction/docs
make html

Tutorials

Coming soon.

Publications

Coming soon.

License

BSD 3-Clause License

Copyright (c) 2021, Galen Seilis All rights reserved.

Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:

  1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.

  2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.

  3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

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