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'))

Peer review:

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

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

On CRAN:

4 exports 22 stars 2.36 score 4 dependencies 1 dependents 1 mentions 10 scripts 378 downloads

Last updated 5 years agofrom:55e530da5a. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 24 2024
R-4.5-winNOTEAug 24 2024
R-4.5-linuxNOTEAug 24 2024
R-4.4-winNOTEAug 24 2024
R-4.4-macNOTEAug 24 2024
R-4.3-winNOTEAug 24 2024
R-4.3-macNOTEAug 24 2024

Exports:getParentsgetParentsStablegetRankingsimulateInterventions

Dependencies:data.tableexpmlatticeMatrix