Package: einet
Type: Package
Title: Effective Information and Causal Emergence
Version: 0.1.0
Authors@R: c(
    person("Travis", "Byrum", email = "tbyrum@terpmail.umd.edu",
           role = c("aut", "cre")),
    person("Anshuman", "Swain", email = "answain@terpmail.umd.edu",
           role = c("aut")),
    person("Brennan", "Klein", email = "klein.br@northeastern.edu",
           role = c("aut")),
    person("William", "Fagan", email = "bfagan@umd.edu",
           role = c("aut"))
    )
Description: 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.
License: MIT + file LICENSE
URL: https://github.com/travisbyrum/einet
BugReports: https://github.com/travisbyrum/einet/issues
Depends: R (>= 3.2.0)
Encoding: UTF-8
LazyData: true
Imports: assertthat, igraph, magrittr, shiny, entropy
Suggests: testthat, RColorBrewer, knitr, rmarkdown, bench
VignetteBuilder: knitr
RoxygenNote: 7.0.2
NeedsCompilation: no
Packaged: 2020-04-20 08:27:09 UTC; travisbyrum
Author: Travis Byrum [aut, cre],
  Anshuman Swain [aut],
  Brennan Klein [aut],
  William Fagan [aut]
Maintainer: Travis Byrum <tbyrum@terpmail.umd.edu>
Repository: CRAN
Date/Publication: 2020-04-23 17:20:03 UTC
Built: R 4.6.0; ; 2026-04-26 12:53:17 UTC; unix
