sim_data: Simulated data
In pablogonzalezginestet/BACps: Bayesian Adjustment for Confouding in Bayesian Propensity Score
Description
Usage
Arguments
Value
Description
Function that generates simulated data with five covariates: three confounders,one instrumental variable and one predictor of the outcome (scenario from the paper of Wang)
Usage
1
Arguments
N
sample size
beta
exposure marginal effect on outcome
Value
a list with outcome y,exposure x and covariates U
pablogonzalezginestet/BACps documentation built on Dec. 22, 2021, 5:22 a.m.
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Description Usage Arguments Value
Description
Function that generates simulated data with five covariates: three confounders,one instrumental variable and one predictor of the outcome (scenario from the paper of Wang)
Usage
1 |
Arguments
N |
sample size |
beta |
exposure marginal effect on outcome |
Value
a list with outcome y,exposure x and covariates U
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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