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CompareCausalNetworks (version 0.2.6.2)

Interface to Diverse Estimation Methods of Causal Networks

Description

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.

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install.packages('CompareCausalNetworks')

Monthly Downloads

407

Version

0.2.6.2

License

GPL

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Last Published

February 17th, 2020

Functions in CompareCausalNetworks (0.2.6.2)

simDataInv

Data from a causal model with interventions
getParentsStable

Estimate the connectivity matrix of a causal graph using stability selection.
getRanking

Estimate a ranking of edges for causal relations in the underlying graph structure using stability ranking.
CompareCausalNetworks-package

Compare estimates of causal graphs using a unified interface to various methods
getParents

Estimate the connectivity matrix of a causal graph
simulateInterventions

Simulate data of a causal (possibly cyclic model) under interventions.