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'), '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), 'RFCI' (really fast causal inference) (all from package 'pcalg') and regression.

Author
Christina Heinze-Deml <heinzedeml@stat.math.ethz.ch>, Nicolai Meinshausen <meinshausen@stat.math.ethz.ch>
Date of publication
2016-12-01 16:41:40
Maintainer
Christina Heinze-Deml <heinzedeml@stat.math.ethz.ch>
License
GPL
Version
0.1.5
URLs

View on CRAN

Man pages

CompareCausalNetworks-package
Compare estimates of causal graphs using a unified interface...
getParents
Estimate the connectivity matrix of a causal graph
getParentsStable
Estimate the connectivity matrix of a causal graph using...
simData_unknownShiftInterventions
Data from a causal cyclic model with shift interventions

Files in this package

CompareCausalNetworks
CompareCausalNetworks/tests
CompareCausalNetworks/tests/testthat.R
CompareCausalNetworks/tests/testthat
CompareCausalNetworks/tests/testthat/test_getParents_defaults_all_methods.R
CompareCausalNetworks/NAMESPACE
CompareCausalNetworks/demo
CompareCausalNetworks/demo/simulation.R
CompareCausalNetworks/demo/00Index
CompareCausalNetworks/data
CompareCausalNetworks/data/simData_unknownShiftInterventions.rda
CompareCausalNetworks/R
CompareCausalNetworks/R/runRFCI.R
CompareCausalNetworks/R/bivariateCAM.R
CompareCausalNetworks/R/runLINGAM.R
CompareCausalNetworks/R/adjustOptions.R
CompareCausalNetworks/R/runBackShift.R
CompareCausalNetworks/R/stabilitySelectionChecks.R
CompareCausalNetworks/R/runGES.R
CompareCausalNetworks/R/checkDependencies.R
CompareCausalNetworks/R/runGIES.R
CompareCausalNetworks/R/runBivariateCAM.R
CompareCausalNetworks/R/getParents.R
CompareCausalNetworks/R/getParentsStable.R
CompareCausalNetworks/R/train_gam.R
CompareCausalNetworks/R/runBivariateANM.R
CompareCausalNetworks/R/runCAM.R
CompareCausalNetworks/R/helperFunctions.R
CompareCausalNetworks/R/indtestHsic.R
CompareCausalNetworks/R/runRegression.R
CompareCausalNetworks/R/runHiddenICP.R
CompareCausalNetworks/R/runPC.R
CompareCausalNetworks/R/runICP.R
CompareCausalNetworks/R/simData_unknownShiftInterventions.R
CompareCausalNetworks/R/bivariateANM.R
CompareCausalNetworks/MD5
CompareCausalNetworks/DESCRIPTION
CompareCausalNetworks/man
CompareCausalNetworks/man/simData_unknownShiftInterventions.Rd
CompareCausalNetworks/man/CompareCausalNetworks-package.Rd
CompareCausalNetworks/man/getParentsStable.Rd
CompareCausalNetworks/man/getParents.Rd