NetCoupler: Inference of Causal Links Between a Network and an External Variable (original) (raw)

The 'NetCoupler' algorithm identifies potential direct effects of correlated, high-dimensional variables formed as a network with an external variable. The external variable may act as the dependent/response variable or as an independent/predictor variable to the network.

Version: 0.1.1
Depends: R (≥ 3.5.0)
Imports: checkmate, dplyr, ids, igraph, lifecycle, magrittr, pcalg, ppcor, purrr, rlang (≥ 0.4.6), stats, tibble, tidyselect, utils, tidygraph
Suggests: broom, furrr, knitr, rmarkdown, spelling, testthat (≥ 2.1.0)
Published: 2025-05-20
DOI: 10.32614/CRAN.package.NetCoupler
Author: Luke Johnston ORCID iD [aut, cre, cph], Clemens WittenbecherORCID iD [aut, cph], Fabian Eichelmann [ctb], Helena Zacharias [ctb], Daniel Ibsen ORCID iD [ctb]
Maintainer: Luke Johnston
BugReports: https://github.com/NetCoupler/NetCoupler/issues
License: MIT + file
URL: https://github.com/NetCoupler/NetCoupler,https://netcoupler.github.io/NetCoupler/
NeedsCompilation: no
Language: en-US
Materials: README, NEWS
CRAN checks: NetCoupler results

Documentation:

Downloads:

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=NetCouplerto link to this page.