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:

3.90 score 22 stars 1 packages 12 scripts 441 downloads 1 mentions 4 exports 4 dependencies

Last updated 5 years agofrom:55e530da5a. Checks:OK: 3 NOTE: 4. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 22 2024
R-4.5-winOKNov 22 2024
R-4.5-linuxOKNov 22 2024
R-4.4-winNOTENov 22 2024
R-4.4-macNOTENov 22 2024
R-4.3-winNOTENov 22 2024
R-4.3-macNOTENov 22 2024

Exports:getParentsgetParentsStablegetRankingsimulateInterventions

Dependencies:data.tableexpmlatticeMatrix