rinform: rinform: An R wrapper of the Inform C library.
In rinform: An R Wrapper of the 'Inform' C Library for Information Analysis of Complex Systems
Description
As for the Inform library, rinform is structured around the concepts of:
* discrete empirical probability distributions which form the basis for
all of the information-theoretic measures,
* classic information-theoretic measures built upon empirical distributions,
* measures of information dynamics for time series.
Details
In addition to the core components, rinform also provides a small collection
of utilities to deal with time series.
If you are using rinform, consider citing the following articles:
* D.G. Moore, G. Valentini, S.I. Walker, M. Levin. “Inform: Efficient
Information-Theoretic Analysis of Collective Behaviors”. _Frontiers in
Robotics & AI. (under review)
* D.G. Moore, G. Valentini, S.I. Walker, M. Levin. “Inform: A Toolkit
for Information-Theoretic Analysis of Complex Systems”. In: Proceedings
of the 2017 IEEE Symposium Series on Computational Intelligence,
Symposium on Artificial Life, IEEE Press, 2017. (in press)
rinform documentation built on April 1, 2018, 12:12 p.m.
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Description
As for the Inform library, rinform is structured around the concepts of: * discrete empirical probability distributions which form the basis for all of the information-theoretic measures, * classic information-theoretic measures built upon empirical distributions, * measures of information dynamics for time series.
Details
In addition to the core components, rinform also provides a small collection of utilities to deal with time series.
If you are using rinform, consider citing the following articles:
* D.G. Moore, G. Valentini, S.I. Walker, M. Levin. “Inform: Efficient Information-Theoretic Analysis of Collective Behaviors”. _Frontiers in Robotics & AI. (under review) * D.G. Moore, G. Valentini, S.I. Walker, M. Levin. “Inform: A Toolkit for Information-Theoretic Analysis of Complex Systems”. In: Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, Symposium on Artificial Life, IEEE Press, 2017. (in press)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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