| add_class | Adds an S3 class to an object |
| add_terminal_observations | Add Terminal Observations to a Dataset |
| autoplot.SensIAT_fulldata_jackknife_results | Plot for Estimated Treatment Effect for... |
| autoplot.SensIAT_fulldata_model | Plot for Estimated Treatment Effect for... |
| autoplot.SensIAT_withingroup_jackknife_results | Plot Estimates at Given Times for... |
| autoplot.SensIAT_within_group_model | Plot a 'SensIAT_within_group_model' Object |
| compute_influence_terms | Compute Influence Terms |
| compute_SensIAT_expected_values | Compute Conditional Expected Values based on Outcome Model |
| 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. |
| fit_SensIAT_within_group_model | Produce fitted model for group (treatment or control) |
| jackknife | Perform Jackknife Resampling on an Object |
| pcoriaccel_compute_influence_term_2_quadv_sim_via_matrix | Runs an optimized implementation of the... |
| pcoriaccel_estimate_pmf | Directly estimate the probability mass function of Y. |
| pcoriaccel_evaluate_basis | Compiled version of 'evaluate_basis()' function |
| pcoriaccel_evaluate_basis_mat | Compiled version of 'evaluate_basis()' function (matrix... |
| pcoriaccel_integrate_simp | Integrate function using adaptive Simpson quadrature. |
| pcoriaccel_NW | Runs an optimized implementation of the "NW" function. |
| pcoriaccel_NW_basic | Runs a _basic_ implementation of the "NW" function with the... |
| pcori_control | Control Parameters for Fitting the within Group Model |
| predict.SensIAT_within_group_model | Give the Marginal Mean Estimate and its Estimated Asymptotic... |
| prepare_SensIAT_data | Prepare Data for Sensitivity Analysis with Irregular... |
| SensIAT_example_data | SensIAT Example Data |
| SensIAT-package | SensIAT: Sensitivity Analysis for Irregular Assessment Times |
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