Mediation Analysis with Multiple Imputation for Missing Data

---

Documentation for package ‘missingmed’ version 0.10.0

• DESCRIPTION file
• User guides, package vignettes and other documentation
• Package NEWS
• Package README

Help Pages

infer	Inference on the indirect effect under multiple imputation
MbcoMIResult	MbcoMIResult: D4-stacked MBCO test result (S7)
mbco_d4	D4-stacked MBCO test of an indirect effect across imputed datasets
MDMediationData	MDMediationData: imputed data + mediation specification (S7)
MDMediationFit	MDMediationFit: per-imputation mediation fits (S7)
MDMediationResult	MDMediationResult: pooled mediation result (S7)
MDSensitivityResult	MDSensitivityResult: MNAR sensitivity curve (S7)
n_imp	Get the number of imputations from a mids object
n_imputations	Number of imputations
per_imputation_list	Access the per-imputation mediation fits (for MBCO)
pool	Pool per-imputation mediation fits with Rubin's rules
run	Fit the mediation model across imputations
sensitivity_mnar	MNAR sensitivity analysis by delta-adjusted imputation
set_md_mediation	Set up a mediation analysis with missing data (MI or IPW)