# infotheory: A C++/Python package for multivariate information theoretic analysis

## TL;DR

The paper presents 'infotheory', a versatile C++/Python package that facilitates multivariate information theoretic analysis of data, enabling researchers and students to explore complex system relationships efficiently.

## Contribution

It introduces a new software package that implements standard and advanced information theoretic measures, including Partial Information Decomposition, for both discrete and continuous data analysis.

## Key findings

- Provides an easy-to-use tool for multivariate information analysis
- Supports both discrete and continuous data types
- Includes implementations of entropy, mutual information, and Partial Information Decomposition

## Abstract

This paper introduces \texttt{infotheory}: a package written in C++ and usable from Python and C++, for multivariate information theoretic analyses of discrete and continuous data. This package allows the user to study the relationship between components of a complex system simply from the data recorded during its operation, using the tools of information theory. It implements widely used measures such as entropy and mutual information, as well as more recent measures that arise from multivariate extensions to information theory, specifically Partial Information Decomposition. It provides an easy-to-use and flexible tool for use in research as well as pedgogical purposes to introduce students to information theory. Website: http://mcandadai.com/infotheory/ Source: https://git.io/infot