aihuman (version 1.0.0)

APCEsummary: Summary of APCE

Description

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

Usage

APCEsummary(apce.mcmc)

Value

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

Arguments

apce.mcmc

APCE.mcmc array generated from CalAPCE or CalAPCEparallel.

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

# \donttest{
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"]])
# }