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Website: [http://mcandadai.com/infotheory/](http://mcandadai.com/infotheory/)

If you use this package, please cite preprint available at: [https://arxiv.org/abs/1907.02339](https://arxiv.org/abs/1907.02339)

## Introduction

Infotheory, written in C++, and usable in Python as well, is a software package to perform information theoretic analysis on multivariate data. This package implements traditional as well as more recent measures that arise from multivariate extensions to information theory, specifically
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The package can be used in Python or C++. While the C++ headers should function well on all platforms, the python package has currently been tested on MacOS and Linux.

## Citing

If you use this package, please cite preprint available at: [https://arxiv.org/abs/1907.02339](https://arxiv.org/abs/1907.02339)

Candadai, M., & Izquierdo, E. J. (2019). infotheory: A C++/Python package for multivariate information theoretic analysis. arXiv preprint arXiv:1907.02339.

@article{candadai2019infotheory,
title={infotheory: A C++/Python package for multivariate information theoretic analysis},
author={Candadai, Madhavun and Izquierdo, Eduardo J},
journal={arXiv preprint arXiv:1907.02339},
year={2019}
}

## Installation

pip install infotheory
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