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).
|Author||Gabriele Valentini [aut, cre, cph], Douglas G. Moore [ctb, cph]|
|Maintainer||Gabriele Valentini <[email protected]>|
|License||MIT + file LICENSE|
|Package repository||View on CRAN|
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