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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.

Version: 0.1.0
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: 2022-04-08
DOI: 10.32614/CRAN.package.NetCoupler
Author: Luke Johnston ORCID iD [aut, cre, cph], Clemens Wittenbecher ORCID iD [aut], Fabian Eichelmann [ctb], Helena Zacharias [ctb], Daniel Ibsen ORCID iD [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
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: NetCoupler results

Documentation:

Reference manual: NetCoupler.pdf
Vignettes: Getting started with NetCoupler

Downloads:

Package source: NetCoupler_0.1.0.tar.gz
Windows binaries: r-devel: NetCoupler_0.1.0.zip, r-release: NetCoupler_0.1.0.zip, r-oldrel: NetCoupler_0.1.0.zip
macOS binaries: r-release (arm64): NetCoupler_0.1.0.tgz, r-oldrel (arm64): NetCoupler_0.1.0.tgz, r-release (x86_64): NetCoupler_0.1.0.tgz, r-oldrel (x86_64): NetCoupler_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=NetCoupler to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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