R: Multiple Imputation in Causal Graph Discovery

# Multiple Imputation in Causal Graph Discovery

## Documentation for package ‘micd’ version 1.1.2

- 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