Multiple Imputation in Causal Graph Discovery

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Documentation for package ‘micd’ version 1.1.1

• DESCRIPTION file.
• Package NEWS.

Help Pages

boot.graph	Bootstrap Resampling for the PC-MI- and the FCI-MI-algorithm
disCItwd	G square Test for (Conditional) Independence between Discrete Variables with Missings
disMItest	G square Test for (Conditional) Independence between Discrete Variables after Multiple Imputation
fciMI	Estimate a PAG by the FCI-MI Algorithm for Multiple Imputed Data Sets of Continuous Data
flexCItest	Wrapper for gaussCItest, disCItest and mixCItest
flexCItwd	Wrapper for gaussCItwd, disCItwd and mixCItwd
flexMItest	Wrapper for gaussMItest, disMItest and mixMItest
gaussCItestMI	Test Conditional Independence of Gaussians via Fisher's Z Using Multiple Imputations
gaussCItwd	Fisher's z-Test for (Conditional) Independence between Gaussian Variables with Missings
gaussMItest	Test Conditional Independence of Gaussians via Fisher's Z Using Multiple Imputations
getSuff	Obtain 'suffStat' for conditional independence testing
make.formulas.saturated	Creates a 'formulas' Argument
makeResiduals	Generate residuals based on variables in imputed data sets
mixCItest	Likelihood Ratio Test for (Conditional) Independence between Mixed Variables
mixCItwd	Likelihood Ratio Test for (Conditional) Independence between Mixed Variables with Missings
mixMItest	Likelihood Ratio Test for (Conditional) Independence between Mixed Variables after Multiple Imputation
pcMI	Estimate the Equivalence Class of a DAG Using the PC-MI Algorithm for Multiple Imputed Data Sets
skeletonMI	Estimate (Initial) Skeleton of a DAG using the PC Algorithm for Multiple Imputed Data Sets of Continuous Data
with_graph	Evaluate Causal Graph Discovery Algorithm in Multiple Imputed Data sets