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#code for generating gamma imputation test set, this is not exported
#for users but is used in the testthat tests
set.seed(6110)
N <- 1000
Z <- sample(x=0:2,size = N,replace = TRUE,prob = c(0.5,0.3,0.2))
Ci <- rexp(n = N,rate = 0.3)
Ti <- vapply(Z,function(x){
rate <- 0.03
if(x == 1) rate <- 0.05
if(x == 2) rate <- 0.09
rexp(1,rate=rate)
} ,FUN.VALUE = numeric(1))
Yi <- pmin(Ti,Ci,3)
delta <- (Ti < Ci & Ti <3)
W1 <- rbinom(n = N,size=1,p=0.5)
W2 <- rbinom(n = N,size=1,p=0.5)
gamma.dataset <- data.frame(Id=1:N,
Yi=Yi,
delta=delta,
Z=factor(Z),
W1=W1,
W2=W2,
to.impute=(delta==0 & Yi <3),
DCO.time=rep(3,N),
gamma=rep(1,N))
#save(gamma.dataset,file="gamma_test.rda")
#must move file into testthat directory
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