generate_data_sj: Generate data for compliance using the Stuart and Jo model.

In denisagniel/synthate: Synthetic Causal Inference

Description

Generate data for compliance using the Stuart and Jo model.

Usage

generate_data_sj(
  n,
  gamma_c = 0.5,
  compliance_p = 0.5,
  compliance_effect = 0.5,
  alpha_c = 1,
  alpha_n = 0.5,
  lambda_c = 1,
  lambda_n = 1,
  gamma_n = 0,
  sigma_c = 1,
  sigma_n = 1
)

Arguments

gamma_c	effect of randomization among the compliers
compliance_p	proportion of compliance
compliance_effect	effect of covariate on compliance
alpha_c	intercept term for compliers
alpha_n	intercept term for never-takers
lambda_c	covariate effect among compliers
lambda_n	covariate effect among never-takers
gamma_n	effect of randomization among never-takers
sigma_c	error variance among compliers
sigma_n	error variance among never-takers

Value

data.frame including id, covariate x, randomization indicator z, complier indicator c, treatment receipt indicator s, and outcome y.

Examples

generate_data_sj(n = 100)

denisagniel/synthate documentation built on April 16, 2020, 12:45 a.m.