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NetCoupler

Inference of Causal Links Between a Network and an External Variable

v0.1.1 · May 20, 2025 · MIT + file LICENSE

Description

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.

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CRAN Check Status

14 OK
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Flavor Status
r-devel-linux-x86_64-debian-clang OK
r-devel-linux-x86_64-debian-gcc OK
r-devel-linux-x86_64-fedora-clang OK
r-devel-linux-x86_64-fedora-gcc OK
r-devel-macos-arm64 OK
r-devel-windows-x86_64 OK
r-oldrel-macos-arm64 OK
r-oldrel-macos-x86_64 OK
r-oldrel-windows-x86_64 OK
r-patched-linux-x86_64 OK
r-release-linux-x86_64 OK
r-release-macos-arm64 OK
r-release-macos-x86_64 OK
r-release-windows-x86_64 OK

Check History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Dependency Network

Dependencies Reverse dependencies checkmate dplyr ids igraph lifecycle magrittr pcalg ppcor purrr rlang tibble tidyselect tidygraph NetCoupler

Version History

new 0.1.1 Mar 10, 2026
updated 0.1.1 ← 0.1.0 diff May 19, 2025
new 0.1.0 Apr 7, 2022