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 + fileLICENSE |
| URL: | https://github.com/NetCoupler/NetCoupler,https://netcoupler.github.io/NetCoupler/ |
| NeedsCompilation: | no |
| Language: | en-US |
| Materials: | README,NEWS |
| CRAN checks: | NetCoupler results |