Multiple Imputation in Causal Graph Discovery
Bootstrap Resampling for the PC-MI- and the FCI-MI-algorithm
G square Test for (Conditional) Independence between Discrete Variable...
G square Test for (Conditional) Independence between Discrete Variable...
Estimate a PAG by the FCI-MI Algorithm for Multiple Imputed Data Sets ...
Wrapper for gaussCItest, disCItest and mixCItest
Wrapper for gaussCItwd, disCItwd and mixCItwd
Wrapper for gaussMItest, disMItest and mixMItest
Fisher's z-Test for (Conditional) Independence between Gaussian Variab...
Test Conditional Independence of Gaussians via Fisher's Z Using Multip...
Obtain 'suffStat' for conditional independence testing
Creates a formulas Argument
Generate residuals based on variables in imputed data sets
Likelihood Ratio Test for (Conditional) Independence between Mixed Var...
Likelihood Ratio Test for (Conditional) Independence between Mixed Var...
Likelihood Ratio Test for (Conditional) Independence between Mixed Var...
Estimate the Equivalence Class of a DAG Using the PC-MI Algorithm for ...
Estimate (Initial) Skeleton of a DAG using the PC Algorithm for Multip...
Evaluate Causal Graph Discovery Algorithm in Multiple Imputed Data set...
Modified functions of the package 'pcalg' and some additional functions to run the PC and the FCI (Fast Causal Inference) algorithm for constraint-based causal discovery in incomplete and multiply imputed datasets. Foraita R, Friemel J, Günther K, Behrens T, Bullerdiek J, Nimzyk R, Ahrens W, Didelez V (2020) <doi:10.1111/rssa.12565>; Andrews RM, Foraita R, Didelez V, Witte J (2021) <arXiv:2108.13395>; Witte J, Foraita R, Didelez V (2022) <doi:10.1002/sim.9535>.