Sensitivity Analysis for Irregular Assessment Times
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Documentation for package ‘SensIAT’ version 0.3.0
Help Pages
| 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_withingroup_jackknife_results | Plot Estimates at Given Times for 'SensIAT_withingroup_jackknife_results' Objects |
| autoplot.SensIAT_within_group_model | Plot a 'SensIAT_within_group_model' Object |
| compute_influence_terms | Compute Influence Terms |
| compute_influence_terms.default | Compute Influence Terms |
| compute_influence_terms.SensIAT::Single-index-outcome-model | Compute Influence Terms |
| compute_SensIAT_expected_values | Compute Conditional Expected Values based on Outcome Model |
| compute_SensIAT_expected_values.glm | Compute Conditional Expected Values based on Outcome Model |
| compute_SensIAT_expected_values.lm | Compute Conditional Expected Values based on Outcome Model |
| compute_SensIAT_expected_values.negbin | Compute Conditional Expected Values based on Outcome Model |
| 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_bandwidth_model | Outcome Modeler for 'SensIAT' Single Index 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 |
| jackknife.SensIAT_fulldata_model | Perform Jackknife Resampling on an Object |
| jackknife.SensIAT_within_group_model | Perform Jackknife Resampling on an Object |
| predict.SensIAT_fulldata_model | Give the Marginal Mean Estimate and its Estimated Asymptotic Variance |
| predict.SensIAT_within_group_model | Give the Marginal Mean Estimate and its Estimated Asymptotic Variance |
| prepare_SensIAT_data | Prepare Data for Sensitivity Analysis with Irregular Assessment Times |
| SensIAT_example_data | SensIAT Example Data |
| SensIAT_example_fulldata | SensIAT Example Data |