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 [aut, cre, cph], Clemens Wittenbecher [aut, cph], Fabian Eichelmann [ctb], Helena Zacharias [ctb], Daniel Ibsen [ctb] Maintainer: Luke Johnston <lwjohnst at gmail.com> BugReports: https://github.com/NetCoupler/NetCoupler/issues License: MIT + file LICENSE 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 form https://CRAN.R-project.org/package=NetCoupler to link to this page.
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