Inference of Causal Links Between a Network and an External Variable R package NetCoupler version 0.1.1 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. Software 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) Luke Johnston <lwjohnst@gmail.com> Comprehensive R Archive Network (CRAN) Luke Johnston [aut, cre, cph] (ORCID: <https://orcid.org/0000-0003-4169-2616>), Clemens Wittenbecher [aut, cph] (ORCID: <https://orcid.org/0000-0001-7792-877X>), Fabian Eichelmann [ctb], Helena Zacharias [ctb], Daniel Ibsen [ctb] (ORCID: <https://orcid.org/0000-0002-7038-4770>) MIT + file LICENSE (https://CRAN.R-project.org/package=NetCoupler/LICENSE) 2025-05-20 application/tgz https://CRAN.R-project.org/package=NetCoupler doi:10.32614/CRAN.package.NetCoupler en-US