einet: einet: Uncertainty and causal emergence in complex networks.
In travisbyrum/einet: 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
Brennan Klein klein.br@northeastern.edu
William Fagan bfagan@umd.edu
See Also
Useful links:
travisbyrum/einet documentation built on Jan. 4, 2022, 10:32 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
Brennan Klein klein.br@northeastern.edu
William Fagan bfagan@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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