Package: einet 1.1.0

Travis Byrum

einet: Effective Information and Causal Emergence

Methods and utilities for causal emergence. Used to explore and compute various information theory metrics for networks, such as effective information, effectiveness and causal emergence.

Authors:Travis Byrum [aut, cre], Anshuman Swain [aut], Brennan Klein [aut], William Fagan [aut]

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einet.pdf |einet.html✨
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NEWS

Peer review:

Bug tracker:https://github.com/travisbyrum/einet/issues

On CRAN:

4 exports 3 stars 1.01 score 38 dependencies 12 scripts 156 downloads

Last updated 3 years agofrom:c6922be9e0. Checks:OK: 7. Indexed: yes.

Exports:%>%causal_emergenceeffective_informationrun_example

Dependencies:assertthatbase64encbslibcachemclicommonmarkcpp11crayondigestentropyfastmapfontawesomefsgluehtmltoolshttpuvigraphjquerylibjsonlitelaterlatticelifecyclemagrittrMatrixmemoisemimepkgconfigpromisesR6rappdirsRcpprlangsassshinysourcetoolsvctrswithrxtable