An R wrapper of the 'Inform' v1.0.0 C library for performing information analysis of complex systems. As for the 'Inform' library, 'rinform' is structured around the concepts of: 1) discrete empirical probability distributions which form the basis for all of the information-theoretic measures; 2) classic information-theoretic measures built upon empirical distributions (e.g., Shannon entropy, mutual information, cross entropy); and 3) advanced measures of information dynamics for time series (e.g., transfer entropy, active information, evidence of integration). In addition to the core components, 'rinform' also provides a collection of utilities to manipulate time series (e.g., binning of continuous values, black-boxing of time series).
Package details |
|
---|---|
Author | Gabriele Valentini [aut, cre, cph], Douglas G. Moore [ctb, cph] |
Maintainer | Gabriele Valentini <gvalent3@asu.edu> |
License | MIT + file LICENSE |
Version | 1.0.2 |
URL | https://elife-asu.github.io/rinform/ |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
|
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.