SensIAT_example_data    SensIAT Example Data
add_terminal_observations
                        Add Terminal Observations to a Dataset
autoplot.SensIAT_fulldata_jackknife_results
                        Plot for Estimated Treatment Effect for
                        'SensIAT_fulldata_jackknife_results' Objects
autoplot.SensIAT_fulldata_model
                        Plot for Estimated Treatment Effect for
                        'SensIAT_fulldata_model' Objects
autoplot.SensIAT_within_group_model
                        Plot a 'SensIAT_within_group_model' Object
autoplot.SensIAT_withingroup_jackknife_results
                        Plot Estimates at Given Times for
                        'SensIAT_withingroup_jackknife_results' Objects
compute_SensIAT_expected_values
                        Compute Conditional Expected Values based on
                        Outcome Model
compute_influence_terms
                        Compute Influence Terms
fit_SensIAT_fulldata_model
                        Produce fitted model for group (treatment or
                        control)
fit_SensIAT_marginal_mean_model
                        Fit the Marginal Means Model
fit_SensIAT_single_index_fixed_coef_model
                        Outcome Modeler for 'SensIAT' Single Index
                        Model.
fit_SensIAT_single_index_norm1coef_model
                        Single Index Model using MAVE and Optimizing
                        Bandwidth.
jackknife               Perform Jackknife Resampling on an Object
predict.SensIAT_fulldata_model
                        Give the Marginal Mean Estimate and its
                        Estimated Asymptotic Variance
prepare_SensIAT_data    Prepare Data for Sensitivity Analysis with
                        Irregular Assessment Times
