APCEsummary: Summary of APCE
In aihuman: Experimental Evaluation of Algorithm-Assisted Human Decision-Making

APCEsummary

R Documentation

Summary of APCE

Description

Summary of average principal causal effects (APCE) with ordinal decision.

Usage

APCEsummary(apce.mcmc)

Arguments

apce.mcmc

APCE.mcmc array generated from CalAPCE or CalAPCEparallel.

Value

A data.frame that consists of mean and quantiles (2.5

References

Imai, K., Jiang, Z., Greiner, D.J., Halen, R., and Shin, S. (2023). "Experimental evaluation of algorithm-assisted human decision-making: application to pretrial public safety assessment." Journal of the Royal Statistical Society: Series A. <DOI:10.1093/jrsssa/qnad010>.

Examples


data(synth)
sample_mcmc <- AiEvalmcmc(data = synth, n.mcmc = 10)
subgroup_synth <- list(
  1:nrow(synth), which(synth$Sex == 0), which(synth$Sex == 1),
  which(synth$Sex == 1 & synth$White == 0), which(synth$Sex == 1 & synth$White == 1)
)
sample_apce <- CalAPCE(data = synth, mcmc.re = sample_mcmc, subgroup = subgroup_synth)
sample_apce_summary <- APCEsummary(sample_apce[["APCE.mcmc"]])

aihuman documentation built on April 12, 2025, 1:47 a.m.