Causal Mediation Analysis with Diagnostics and Sensitivity Analysis


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Documentation for package ‘RobustMediate’ version 0.3.0

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RobustMediate-package RobustMediate: Causal Mediation Analysis with Diagnostics and Sensitivity Analysis
adjust_paths Adjust Both Paths for a Confounder of Given Strength
as.data.frame.robmedfit Coerce effects curve to a data frame
augment.robmedfit Augment data with fitted values from a robmedfit object (broom-compatible)
compare_fits Compare Two robmedfit Objects Side by Side
diagnose Diagnose a robmedfit Object
effect_curvature Curvature of an Effect Curve, with Bootstrap Intervals
glance.robmedfit Glance at a robmedfit object (broom-compatible)
plot.robmedfit Plot a robmedfit object
plot_balance Love Plot: Balance Diagnostics for Both Pathways
plot_curvature Plot an Effect Curve and Its Curvature
plot_mediation Dose-Response Curve: Natural Direct and Indirect Effects
plot_paths Plot Adjusted Path and Sobel Statistics Against Confounder Strength
plot_sensitivity Plot the Indirect Effect as a Function of rho
print.robmedfit Print a robmedfit object
print.robmed_paths Print a robmed_paths object
print.robmed_sens Print a robmed_sens object
RobustMediate RobustMediate: Causal Mediation Analysis with Diagnostics and Sensitivity Analysis
robustmediate Robust Causal Mediation Analysis
sensitivity_curvature Curvature of an Effect Curve, with Bootstrap Intervals
sensitivity_paths Path-Wise and Indirect-Effect Robustness Values
sensitivity_rho Sensitivity of the Indirect Effect to Mediator-Outcome Confounding
sim_mediation Simulated Mediation Study Data
summary.robmedfit Summary method for robmedfit objects
tidy.robmedfit Tidy a robmedfit object (broom-compatible)