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CRAN: Package einet

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.

Version: 0.1.0 Depends: R (≥ 3.2.0) Imports: assertthat, igraph, magrittr, shiny, entropy Suggests: testthat, RColorBrewer, knitr, rmarkdown, bench Published: 2020-04-23 DOI: 10.32614/CRAN.package.einet Author: Travis Byrum [aut, cre], Anshuman Swain [aut], Brennan Klein [aut], William Fagan [aut] Maintainer: Travis Byrum <tbyrum at terpmail.umd.edu> BugReports: https://github.com/travisbyrum/einet/issues License: MIT + file LICENSE URL: https://github.com/travisbyrum/einet NeedsCompilation: no Materials: README CRAN checks: einet results Documentation: Downloads: Linking:

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