CalFairness {aihuman}

Calculate the principal fairness

Description

See Section 3.6 for more details.

Usage

CalFairness(apce, attr = c(2, 3))

Arguments

apce

The list generated from CalAPCE or CalAPCEparallel.

attr

The index of subgroups (within the output of CalAPCE/CalAPCEparallel) that corresponds to the protected attributes.

Value

A data.frame of the delta.

Examples

data(synth)
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_mcmc = AiEvalmcmc(data = synth, n.mcmc = 10)
sample_apce = CalAPCE(data = synth, mcmc.re = sample_mcmc, subgroup = subgroup_synth, 
                      burnin = 0)
CalFairness(sample_apce)