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Effective information and causal emergence in R

Team members: Travis Byrum, Anshuman Swain, Brennan Klein and William F Fagan

R code/package 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 (see Klein and Hoel, 2020).

Web App

A shiny application is available for demonstration purposes.

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Install

install.packages('einet')

Monthly Downloads

181

Version

0.1.0

License

MIT + file LICENSE

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Maintainer

Travis Byrum

Last Published

April 23rd, 2020

Functions in einet (0.1.0)

%>%

Pipe operator
update_blanket

Update Markov Blanket
mb

Create Markov Blanket
create_macro

create_macro
effective_information

Effective Information
causal_emergence

Causal Emergence
check_network

Check Graph Network
einet

einet: Uncertainty and causal emergence in complex networks.
karate

Zachary's karate club
stationary

Stationary Distribution
run_example

Start shiny app