TestMonotonicityRE {aihuman} | R Documentation |
Test monotonicity with random effects
Description
Test monotonicity using frequentist analysis with random effects for the hearing date of the case.
Usage
TestMonotonicityRE(data, fixed, random)
Arguments
data |
A |
fixed |
A formula for the fixed-effects part of the model to fit. |
random |
A formula for the random-effects part of the model to fit. |
Value
Message indicating whether the monotonicity assumption holds.
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)
data(hearingdate_synth)
synth$CourtEvent_HearingDate <- hearingdate_synth
TestMonotonicityRE(synth,
fixed = "Y ~ Sex + White + Age +
CurrentViolentOffense + PendingChargeAtTimeOfOffense +
PriorMisdemeanorConviction + PriorFelonyConviction +
PriorViolentConviction + D",
random = "~ 1|CourtEvent_HearingDate"
)