Experimental Evaluation of Algorithm-Assisted Human Decision-Making

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Documentation for package ‘aihuman’ version 1.0.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

aihuman-package	Experimental Evaluation of Algorithm-Assisted Human Decision-Making
AiEvalmcmc	Gibbs sampler for the main analysis
aihuman	Experimental Evaluation of Algorithm-Assisted Human Decision-Making
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 on the AI recommendation
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 Recommendation
crossfit	Crossfitting for nuisance functions
FTAdata	Interim Dane data with failure to appear (FTA) as an outcome
gbm	Crossfitting for nuisance functions
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 outcome
NVCAdata	Interim Dane data with new violent criminal activity (NVCA) as an outcome
PlotAPCE	Plot APCE
PlotDIMdecisions	Plot diff-in-means estimates
PlotDIMoutcomes	Plot diff-in-means estimates
PlotFairness	Plot the principal fairness
PlotOptimalDecision	Plot optimal decision
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 psa
PlotStackedBarDMF	Stacked barplot for the distribution of the decision given DMF recommendation
PlotUtilityDiff	Plot utility difference
PlotUtilityDiffCI	Plot utility difference with 95% confidence interval
plot_agreement	Visualize Agreement
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 Subgroup Defined by AI Recommendation
plot_preference	Visualize Preference
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