Package: NetCoupler 0.1.0.9000

Luke Johnston

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.

Authors:Luke Johnston [aut, cre, cph], Clemens Wittenbecher [aut, cph], Fabian Eichelmann [ctb], Helena Zacharias [ctb], Daniel Ibsen [ctb]

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NetCoupler.pdf |NetCoupler.html
NetCoupler/json (API)
NEWS

# Install 'NetCoupler' in R:
install.packages('NetCoupler', repos = c('https://netcoupler.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/netcoupler/netcoupler/issues

Datasets:
  • simulated_data - Simulated dataset with an underlying Directed Graph structure for the metabolites.

On CRAN:

20 exports 5 stars 1.33 score 56 dependencies 7 scripts 198 downloads

Last updated 8 months agofrom:af57087fc5. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 20 2024
R-4.5-winOKAug 20 2024
R-4.5-linuxOKAug 20 2024
R-4.4-winOKAug 20 2024
R-4.4-macOKAug 20 2024
R-4.3-winOKAug 20 2024
R-4.3-macOKAug 20 2024

Exports:%>%all_ofany_ofas_data_frameas_edge_tblas_tibbleclassify_optionscontainsdata_frameends_witheverythinglast_colmatchesnc_estimate_exposure_linksnc_estimate_networknc_estimate_outcome_linksnc_standardizenum_rangestarts_withtibble

Dependencies:abindaskpassbackportsbdsmatrixBHBiocGenericsBiocManagercheckmatecliclueclustercolorspacecorpcorcpp11DEoptimRdplyrfansifastICAgenericsggmgluegraphidsigraphlatticelifecyclelmtestmagrittrMASSMatrixopensslpcalgpillarpkgconfigppcorpurrrR6RBGLRcppRcppArmadillorlangrobustbasesfsmiscstringistringrsystibbletidygraphtidyrtidyselectutf8uuidvcdvctrswithrzoo

Getting started with NetCoupler

Rendered fromNetCoupler.Rmdusingknitr::rmarkdownon Aug 20 2024.

Last update: 2022-04-05
Started: 2020-03-16