SpilloverCRTpower: Conduct power analysis of conditional randomization test

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

Conduct power analysis of conditional randomization test

Description

See S3.2 for more details.

Usage

SpilloverCRTpower(
  D,
  Z,
  CourtEvent_HearingDate,
  n = 4,
  m = 4,
  size = 2,
  cand_omegaZtilde = seq(-1.5, 1.5, by = 0.5)
)

Arguments

D	A numeric vector of judge's decision.
Z	A numeric vector of treatment variable.
CourtEvent_HearingDate	The court event hearing date.
n	Number of permutations.
m	Number of permutations.
size	The number of parallel computing. The default is 2.
cand_omegaZtilde	Candidate values

Value

A data.frame of the result of power analysis.

Examples

data(synth)
data(hearingdate_synth)
crt_power <- SpilloverCRTpower(
  D = synth$D, Z = synth$Z,
  CourtEvent_HearingDate = hearingdate_synth,
  size = 1
) # adjust the size

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