generate_data_psr: Generate data for compliance under pseudo-randomization.
In denisagniel/synthate: Synthetic Causal Inference
Description
Usage
Arguments
Value
Examples
View source: R/generate_data_psr.R
Description
Generate data for compliance under pseudo-randomization.
Usage
1
generate_data_psr(n, p, delta = 0.5, compliance_p = 0.75)
Arguments
n
sample size
p
dimension of covariates
delta
complier average causal effect
compliance_p
compliance proportion
Value
data.frame including id, treatment assignment indicator z, complier indicator c, treatment receipt indicator s, outcome y, and covariates x1, ..., xp.
Examples
1
generate_data_psr(n = 100, p = 8)
denisagniel/synthate documentation built on April 16, 2020, 12:45 a.m.
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Description Usage Arguments Value Examples
View source: R/generate_data_psr.R
Description
Generate data for compliance under pseudo-randomization.
Usage
1 | generate_data_psr(n, p, delta = 0.5, compliance_p = 0.75)
|
Arguments
n |
sample size |
p |
dimension of covariates |
delta |
complier average causal effect |
compliance_p |
compliance proportion |
Value
data.frame including id, treatment assignment indicator z, complier indicator c, treatment receipt indicator s, outcome y, and covariates x1, ..., xp.
Examples
1 | generate_data_psr(n = 100, p = 8)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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