gData_U_binary_Y_cont {causens} | R Documentation |
Generate data with a binary unmeasured confounder and continuous outcome
Description
Generate data with a binary unmeasured confounder and continuous outcome
Usage
gData_U_binary_Y_cont(
ymodel = "linear",
N = 500,
alpha_uz = 0.2,
beta_uy = 0.5,
treatment_effects = 1,
seed = 123
)
Arguments
ymodel |
A string indicating the functional form of the outcome model. |
N |
The number of observations to be generated. |
alpha_uz |
Unmeasured confounder coefficient in the propensity score model. |
beta_uy |
Unmeasured confounder coefficient in the outcome model. |
treatment_effects |
The treatment effect. |
seed |
The seed for the random number generator. |
Value
A data frame with the simulated dataset with U binary, Y continuous.
Examples
fulldata <- gData_U_binary_Y_cont(
ymodel = "linear",
N = 500,
alpha_uz = 0.2,
beta_uy = 0.5,
treatment_effects = 1,
seed = 123
)
table(fulldata$Z)
[Package causens version 0.0.3 Index]