Package: CompareCausalNetworks 0.2.6.2

Christina Heinze-Deml

CompareCausalNetworks: Interface to Diverse Estimation Methods of Causal Networks

Unified interface for the estimation of causal networks, including the methods 'backShift' (from package 'backShift'), 'bivariateANM' (bivariate additive noise model), 'bivariateCAM' (bivariate causal additive model), 'CAM' (causal additive model) (from package 'CAM'; the package is temporarily unavailable on the CRAN repository; formerly available versions can be obtained from the archive), 'hiddenICP' (invariant causal prediction with hidden variables), 'ICP' (invariant causal prediction) (from package 'InvariantCausalPrediction'), 'GES' (greedy equivalence search), 'GIES' (greedy interventional equivalence search), 'LINGAM', 'PC' (PC Algorithm), 'FCI' (fast causal inference), 'RFCI' (really fast causal inference) (all from package 'pcalg') and regression.

Authors:Christina Heinze-Deml <[email protected]>, Nicolai Meinshausen <[email protected]>

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CompareCausalNetworks.pdf |CompareCausalNetworks.html
CompareCausalNetworks/json (API)

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

Bug tracker:https://github.com/christinaheinze/comparecausalnetworks/issues

Datasets:
  • simDataInv - Data from a causal model with interventions

On CRAN:

Conda:

3.90 score 22 stars 1 packages 12 scripts 412 downloads 1 mentions 4 exports 4 dependencies

Last updated 5 years agofrom:55e530da5a. Checks:4 OK, 5 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 22 2025
R-4.5-winOKMar 22 2025
R-4.5-macOKMar 22 2025
R-4.5-linuxOKMar 22 2025
R-4.4-winNOTEMar 22 2025
R-4.4-macNOTEMar 22 2025
R-4.4-linuxNOTEMar 22 2025
R-4.3-winNOTEMar 22 2025
R-4.3-macNOTEMar 22 2025

Exports:getParentsgetParentsStablegetRankingsimulateInterventions

Dependencies:data.tableexpmlatticeMatrix