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]

einet_1.1.0.tar.gz
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einet_1.1.0.tgz(r-4.4-any)einet_1.1.0.tgz(r-4.3-any)
einet_1.1.0.tar.gz(r-4.5-noble)einet_1.1.0.tar.gz(r-4.4-noble)
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einet.pdf |einet.html✨
einet/json (API)
NEWS

# Install 'einet' in R:
install.packages('einet', repos = c('https://travisbyrum.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

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

Datasets:
  • karate - Zachary's karate club

On CRAN:

4.26 score 3 stars 12 scripts 132 downloads 4 exports 38 dependencies

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

TargetResultDate
Doc / VignettesOKNov 09 2024
R-4.5-winOKNov 09 2024
R-4.5-linuxOKNov 09 2024
R-4.4-winOKNov 09 2024
R-4.4-macOKNov 09 2024
R-4.3-winOKNov 09 2024
R-4.3-macOKNov 09 2024

Exports:%>%causal_emergenceeffective_informationrun_example

Dependencies:assertthatbase64encbslibcachemclicommonmarkcpp11crayondigestentropyfastmapfontawesomefsgluehtmltoolshttpuvigraphjquerylibjsonlitelaterlatticelifecyclemagrittrMatrixmemoisemimepkgconfigpromisesR6rappdirsRcpprlangsassshinysourcetoolsvctrswithrxtable

Introduction

Rendered fromIntroduction.Rmdusingknitr::rmarkdownon Nov 09 2024.

Last update: 2020-05-17
Started: 2020-03-30