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NetCoupler: Inference of Causal Links Between a Network and an External Variable
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.
Getting started
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Package details |
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| Author | 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>) |
| Maintainer | Luke Johnston <lwjohnst@gmail.com> |
| License | MIT + file LICENSE |
| Version | 0.1.1 |
| URL | https://github.com/NetCoupler/NetCoupler https://netcoupler.github.io/NetCoupler/ |
| Package repository | View on CRAN |
| Installation |
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