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## Example
# Set seed
set.seed(999)
# Generate sample data
y <- rgamma(8, shape = 2, rate = 1)
# Set data generating process function
dgp <- function(y) rgamma(length(y), shape = 2, rate = 1)
# Set the statistic function to the Kolomogorov-Smirnov test for gamma distribution
statistic <- function(y){
out <- ks.test(y, "pgamma", shape = 2, rate = 1)
return(out$statistic)
}
# Apply the Monte Carlo test with tie-breaker
est <- mc(y, statistic = statistic, dgp = dgp, N = 999, type = "two-tailed")
# Print result of object of class 'mc'
print(est)
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