Nothing
set.seed(1)
n <- 5000
u <- runif(n)
z <- rbinom(n, 3, .5)
x <- as.numeric(cut(rnorm(n), 10)) # normal discretized into 10 bins
d <- as.numeric(u < z*.25 + .01*x)
v0 <- rnorm(n) + .2*u
m0 <- 0
y0 <- as.numeric(m0 + v0 + .1*x > 0)
v1 <- rnorm(n) - .2*u
m1 <- .5
y1 <- as.numeric(m1 + v1 - .3*x > 0)
y <- d*y1 + (1-d)*y0
ivmteSimData <- data.frame(y,d,z,x)
library("devtools")
use_data(ivmteSimData, overwrite = TRUE)
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