Man pages for aihuman
Experimental Evaluation of Algorithm-Assisted Human Decision-Making
| AiEvalmcmc | Gibbs sampler for the main analysis |
| aihuman-package | Experimental Evaluation of Algorithm-Assisted Human... |
| A_llama | Llama3 Recommendations (internal) |
| APCEsummary | Summary of APCE |
| APCEsummaryipw | Summary of APCE for frequentist analysis |
| BootstrapAPCEipw | Bootstrap for estimating variance of APCE |
| BootstrapAPCEipwRE | Bootstrap for estimating variance of APCE with random effects |
| BootstrapAPCEipwREparallel | Bootstrap for estimating variance of APCE with random effects |
| CalAPCE | Calculate APCE |
| CalAPCEipw | Compute APCE using frequentist analysis |
| CalAPCEipwRE | Compute APCE using frequentist analysis with random effects |
| CalAPCEparallel | Calculate APCE using parallel computing |
| CalDelta | Calculate the delta given the principal stratum |
| CalDIM | Calculate diff-in-means estimates |
| CalDIMsubgroup | Calculate diff-in-means estimates |
| CalFairness | Calculate the principal fairness |
| CalOptimalDecision | Calculate optimal decision & utility |
| CalPS | Calculate the proportion of principal strata (R) |
| compute_bounds_aipw | Compute Risk (AI v. Human) |
| compute_nuisance_functions | Fit outcome/decision and propensity score models |
| compute_nuisance_functions_ai | Fit outcome/decision and propensity score models conditioning... |
| compute_stats | Compute Risk (Human+AI v. Human) |
| compute_stats_agreement | Agreement of Human and AI Decision Makers |
| compute_stats_aipw | Compute Risk (Human+AI v. Human) |
| compute_stats_subgroup | Compute Risk (Human+AI v. Human) for a Subgroup Defined by AI... |
| crossfit | Crossfitting for nuisance functions |
| FTAdata | Interim Dane data with failure to appear (FTA) as an outcome |
| g_legend | Pulling ggplot legend |
| HearingDate | Interim court event hearing date |
| hearingdate_synth | Synthetic court event hearing date |
| NCAdata | Interim Dane data with new criminal activity (NCA) as an... |
| nca_follow_policy | NCA follow policy (internal; increasing monotonicity) |
| nca_follow_policy_dec | NCA follow policy (internal; decreasing monotonicity) |
| nca_provide_policy | NCA provide policy (internal; increasing monotonicity) |
| nca_provide_policy_dec | NCA provide policy (internal; decreasing monotonicity) |
| nuis_func | Nuisance functions (internal) |
| nuis_func_ai | Nuisance functions conditioning on AI (internal) |
| NVCAdata | Interim Dane data with new violent criminal activity (NVCA)... |
| plot_agreement | Visualize Agreement |
| PlotAPCE | Plot APCE |
| plot_diff_ai_aipw | Visualize Difference in Risk (AI v. Human) |
| plot_diff_human | Visualize Difference in Risk (Human+AI v. Human) |
| plot_diff_human_aipw | Visualize Difference in Risk (Human+AI v. Human) |
| plot_diff_subgroup | Visualize Difference in Risk (Human+AI v. Human) for a... |
| PlotDIMdecisions | Plot diff-in-means estimates |
| PlotDIMoutcomes | Plot diff-in-means estimates |
| PlotFairness | Plot the principal fairness |
| PlotOptimalDecision | Plot optimal decision |
| plot_preference | Visualize Preference |
| PlotPS | Plot the proportion of principal strata (R) |
| PlotSpilloverCRT | Plot conditional randomization test |
| PlotSpilloverCRTpower | Plot power analysis of conditional randomization test |
| PlotStackedBar | Stacked barplot for the distribution of the decision given... |
| PlotStackedBarDMF | Stacked barplot for the distribution of the decision given... |
| PlotUtilityDiff | Plot utility difference |
| PlotUtilityDiffCI | Plot utility difference with 95% confidence interval |
| PSAdata | Interim Dane PSA data |
| psa_synth | Synthetic PSA data |
| SpilloverCRT | Conduct conditional randomization test |
| SpilloverCRTpower | Conduct power analysis of conditional randomization test |
| synth | Synthetic data |
| table_agreement | Table of Agreement |
| TestMonotonicity | Test monotonicity |
| TestMonotonicityRE | Test monotonicity with random effects |
| vis_agreement | Visualize Agreement (internal) |
| vis_diff_ai | Visualize Risk (AI v. Human; internal) |
| vis_diff_human | Visualize Risk (Human+AI v. Human; internal) |
| vis_diff_subgroup | Visualize Risk (Human+AI v. Human; internal) |
| vis_preference | Visualize Preference (internal) |
