einet: einet: Uncertainty and causal emergence in complex networks.
In anshuman21111/einet_R: Effective Information and Causal Emergence
Description
Author(s)
See Also
Description
for calculating effective information in networks.
This can then be used to search for macroscale representations of
a network such that the coarse grained representation has more effective
information than the microscale, a phenomenon known as causal emergence.
Author(s)
Maintainer: Travis Byrum tbyrum@terpmail.umd.edu
Authors:
Anshuman Swain answain@terpmail.umd.edu
See Also
Useful links:
anshuman21111/einet_R documentation built on April 30, 2020, 8:09 p.m.
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Description Author(s) See Also
Description
for calculating effective information in networks. This can then be used to search for macroscale representations of a network such that the coarse grained representation has more effective information than the microscale, a phenomenon known as causal emergence.
Author(s)
Maintainer: Travis Byrum tbyrum@terpmail.umd.edu
Authors:
Anshuman Swain answain@terpmail.umd.edu
See Also
Useful links:
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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